diff --git a/cmake/OpenMCConfig.cmake.in b/cmake/OpenMCConfig.cmake.in index 3fe0c1bcd1..837a39c783 100644 --- a/cmake/OpenMCConfig.cmake.in +++ b/cmake/OpenMCConfig.cmake.in @@ -1,9 +1,12 @@ get_filename_component(OpenMC_CMAKE_DIR "${CMAKE_CURRENT_LIST_FILE}" DIRECTORY) -find_package(fmt REQUIRED HINTS ${OpenMC_CMAKE_DIR}/../fmt) -find_package(pugixml REQUIRED HINTS ${OpenMC_CMAKE_DIR}/../pugixml) -find_package(xtl REQUIRED HINTS ${OpenMC_CMAKE_DIR}/../xtl) -find_package(xtensor REQUIRED HINTS ${OpenMC_CMAKE_DIR}/../xtensor) +# Compute the install prefix from this file's location +get_filename_component(_OPENMC_PREFIX "${OpenMC_CMAKE_DIR}/../../.." ABSOLUTE) + +find_package(fmt CONFIG REQUIRED HINTS ${_OPENMC_PREFIX}) +find_package(pugixml CONFIG REQUIRED HINTS ${_OPENMC_PREFIX}) +find_package(xtl CONFIG REQUIRED HINTS ${_OPENMC_PREFIX}) +find_package(xtensor CONFIG REQUIRED HINTS ${_OPENMC_PREFIX}) if(@OPENMC_USE_DAGMC@) find_package(DAGMC REQUIRED HINTS @DAGMC_DIR@) endif() diff --git a/docs/source/capi/index.rst b/docs/source/capi/index.rst index d9ac0d1e01..2583d51dff 100644 --- a/docs/source/capi/index.rst +++ b/docs/source/capi/index.rst @@ -84,6 +84,17 @@ Functions :return: Return status (negative if an error occurred) :rtype: int +.. c:function:: int openmc_cell_get_density(int32_t index, const int32_t* instance, double* density) + + Get the density of a cell + + :param int32_t index: Index in the cells array + :param int32_t* instance: Which instance of the cell. If a null pointer is passed, the density + multiplier of the first instance is returned. + :param double* density: Density of the cell in [g/cm3] + :return: Return status (negative if an error occurred) + :rtype: int + .. c:function:: int openmc_cell_set_fill(int32_t index, int type, int32_t n, const int32_t* indices) Set the fill for a cell @@ -113,8 +124,22 @@ Functions :param double T: Temperature in Kelvin :param instance: Which instance of the cell. To set the temperature for all instances, pass a null pointer. - :param set_contained: If the cell is not filled by a material, whether to set the temperatures - of all filled cells + :param bool set_contained: If the cell is not filled by a material, whether + to set the temperatures of all filled cells + :type instance: const int32_t* + :return: Return status (negative if an error occurred) + :rtype: int + +.. c:function:: int openmc_cell_set_density(index index, double density, const int32_t* instance, bool set_contained) + + Set the density of a cell. + + :param int32_t index: Index in the cells array + :param double density: Density of the cell in [g/cm3] + :param instance: Which instance of the cell. To set the density multiplier for all + instances, pass a null pointer. + :param bool set_contained: If the cell is not filled by a material, whether + to set the density multiplier of all filled cells :type instance: const int32_t* :return: Return status (negative if an error occurred) :rtype: int diff --git a/docs/source/conf.py b/docs/source/conf.py index 8aeff5cdc7..826c20022a 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -121,9 +121,7 @@ pygments_style = 'tango' # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages -import sphinx_rtd_theme html_theme = 'sphinx_rtd_theme' -html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] html_baseurl = "https://docs.openmc.org/en/stable/" html_logo = '_images/openmc_logo.png' diff --git a/docs/source/io_formats/properties.rst b/docs/source/io_formats/properties.rst index 5030e78f35..4cc5da379b 100644 --- a/docs/source/io_formats/properties.rst +++ b/docs/source/io_formats/properties.rst @@ -4,7 +4,7 @@ Properties File Format ====================== -The current version of the properties file format is 1.0. +The current version of the properties file format is 1.1. **/** @@ -25,6 +25,7 @@ The current version of the properties file format is 1.0. **/geometry/cells/cell /** :Datasets: - **temperature** (*double[]*) -- Temperature of the cell in [K]. + - **density** (*double[]*) -- Density of the cell in [g/cm3]. **/materials/** diff --git a/docs/source/io_formats/summary.rst b/docs/source/io_formats/summary.rst index 7d3ab94d9f..64ca68b9c3 100644 --- a/docs/source/io_formats/summary.rst +++ b/docs/source/io_formats/summary.rst @@ -4,7 +4,7 @@ Summary File Format =================== -The current version of the summary file format is 6.0. +The current version of the summary file format is 6.1. **/** @@ -38,6 +38,7 @@ The current version of the summary file format is 6.0. is an array if the cell uses distributed materials, otherwise it is a scalar. - **temperature** (*double[]*) -- Temperature of the cell in Kelvin. + - **density** (*double[]*) -- Density of the cell in [g/cm3]. - **translation** (*double[3]*) -- Translation applied to the fill universe. This dataset is present only if fill_type is set to 'universe'. diff --git a/docs/source/methods/neutron_physics.rst b/docs/source/methods/neutron_physics.rst index fe8b8ad850..2b797e3dbc 100644 --- a/docs/source/methods/neutron_physics.rst +++ b/docs/source/methods/neutron_physics.rst @@ -290,7 +290,10 @@ create and store fission sites for the following generation. First, the average number of prompt and delayed neutrons must be determined to decide whether the secondary neutrons will be prompt or delayed. This is important because delayed neutrons have a markedly different spectrum from prompt neutrons, one that has a -lower average energy of emission. The total number of neutrons emitted +lower average energy of emission. Furthermore, in simulations where tracking +time of neutrons is important, we need to consider the emission time delay of +the secondary neutrons, which is dependent on the decay constant of the +delayed neutron precursor. The total number of neutrons emitted :math:`\nu_t` is given as a function of incident energy in the ENDF format. Two representations exist for :math:`\nu_t`. The first is a polynomial of order :math:`N` with coefficients :math:`c_0,c_1,\dots,c_N`. If :math:`\nu_t` has this @@ -306,8 +309,8 @@ interpolation law. The number of prompt neutrons released per fission event :math:`\nu_p` is also given as a function of incident energy and can be specified in a polynomial or tabular format. The number of delayed neutrons released per fission event :math:`\nu_d` can only be specified in a tabular -format. In practice, we only need to determine :math:`nu_t` and -:math:`nu_d`. Once these have been determined, we can calculated the delayed +format. In practice, we only need to determine :math:`\nu_t` and +:math:`\nu_d`. Once these have been determined, we can calculate the delayed neutron fraction .. math:: @@ -335,8 +338,14 @@ neutrons. Otherwise, we produce :math:`\lfloor \nu \rfloor + 1` neutrons. Then, for each fission site produced, we sample the outgoing angle and energy according to the algorithms given in :ref:`sample-angle` and :ref:`sample-energy` respectively. If the neutron is to be born delayed, then -there is an extra step of sampling a delayed neutron precursor group since they -each have an associated secondary energy distribution. +there is an extra step of sampling a delayed neutron precursor group to get the +associated secondary energy distribution and the decay constant +:math:`\lambda`, which is needed to sample the emission delay time :math:`t_d`: + +.. math:: + :label: sample-delay-time + + t_d = -\frac{\ln \xi}{\lambda}. The sampled outgoing angle and energy of fission neutrons along with the position of the collision site are stored in an array called the fission diff --git a/docs/source/usersguide/kinetics.rst b/docs/source/usersguide/kinetics.rst index bdf26d341b..9024ff8227 100644 --- a/docs/source/usersguide/kinetics.rst +++ b/docs/source/usersguide/kinetics.rst @@ -67,6 +67,23 @@ are needed to compute kinetics parameters in OpenMC: Obtaining kinetics parameters ----------------------------- +The ``Model`` class can be used to automatically generate all IFP tallies using +the Python API with :attr:`openmc.Settings.ifp_n_generation` greater than 0 and +the :meth:`openmc.Model.add_ifp_kinetics_tallies` method:: + + model = openmc.Model(geometry, settings=settings) + model.add_kinetics_parameters_tallies(num_groups=6) # Add 6 precursor groups + +Alternatively, each of the tallies can be manually defined using group-wise or +total :math:`\beta_{\text{eff}}` specified by providing a 6-group +:class:`openmc.DelayedGroupFilter`:: + + beta_tally = openmc.Tally(name="group-beta-score") + beta_tally.scores = ["ifp-beta-numerator"] + + # Add DelayedGroupFilter to enable group-wise tallies + beta_tally.filters = [openmc.DelayedGroupFilter(list(range(1, 7)))] + Here is an example showing how to declare the three available IFP scores in a single tally:: @@ -95,6 +112,12 @@ for ``ifp-denominator``: \beta_{\text{eff}} = \frac{S_{\text{ifp-beta-numerator}}}{S_{\text{ifp-denominator}}} +The kinetics parameters can be retrieved directly from a statepoint file using +the :meth:`openmc.StatePoint.ifp_results` method:: + + with openmc.StatePoint(output_path) as sp: + generation_time, beta_eff = sp.get_kinetics_parameters() + .. only:: html .. rubric:: References @@ -107,4 +130,4 @@ for ``ifp-denominator``: of the Iterated Fission Probability Method in OpenMC to Compute Adjoint-Weighted Kinetics Parameters", International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025), Denver, April 27-30, - 2025 (to be presented). + 2025. diff --git a/examples/pincell_pulsed/run_pulse.py b/examples/pincell_pulsed/run_pulse.py new file mode 100644 index 0000000000..b6a61ad3d8 --- /dev/null +++ b/examples/pincell_pulsed/run_pulse.py @@ -0,0 +1,101 @@ +import matplotlib.pyplot as plt +import numpy as np +import openmc + +############################################################################### +# Create materials for the problem + +uo2 = openmc.Material(name="UO2 fuel at 2.4% wt enrichment") +uo2.set_density("g/cm3", 10.29769) +uo2.add_element("U", 1.0, enrichment=2.4) +uo2.add_element("O", 2.0) + +helium = openmc.Material(name="Helium for gap") +helium.set_density("g/cm3", 0.001598) +helium.add_element("He", 2.4044e-4) + +zircaloy = openmc.Material(name="Zircaloy 4") +zircaloy.set_density("g/cm3", 6.55) +zircaloy.add_element("Sn", 0.014, "wo") +zircaloy.add_element("Fe", 0.00165, "wo") +zircaloy.add_element("Cr", 0.001, "wo") +zircaloy.add_element("Zr", 0.98335, "wo") + +borated_water = openmc.Material(name="Borated water") +borated_water.set_density("g/cm3", 0.740582) +borated_water.add_element("B", 2.0e-4) # 3x the original pincell +borated_water.add_element("H", 5.0e-2) +borated_water.add_element("O", 2.4e-2) +borated_water.add_s_alpha_beta("c_H_in_H2O") + +############################################################################### +# Define problem geometry + +# Create cylindrical surfaces +fuel_or = openmc.ZCylinder(r=0.39218, name="Fuel OR") +clad_ir = openmc.ZCylinder(r=0.40005, name="Clad IR") +clad_or = openmc.ZCylinder(r=0.45720, name="Clad OR") + +# Create a region represented as the inside of a rectangular prism +pitch = 1.25984 +box = openmc.model.RectangularPrism(pitch, pitch, boundary_type="reflective") + +# Create cells, mapping materials to regions +fuel = openmc.Cell(fill=uo2, region=-fuel_or) +gap = openmc.Cell(fill=helium, region=+fuel_or & -clad_ir) +clad = openmc.Cell(fill=zircaloy, region=+clad_ir & -clad_or) +water = openmc.Cell(fill=borated_water, region=+clad_or & -box) + +# Create a model and assign geometry +model = openmc.Model() +model.geometry = openmc.Geometry([fuel, gap, clad, water]) + +############################################################################### +# Define problem settings + +# Set the mode +model.settings.run_mode = "fixed source" + +# Indicate how many batches and particles to run +model.settings.batches = 10 +model.settings.particles = 10000 + +# Set time cutoff (we only care about t < 100 seconds, see tally below) +model.settings.cutoff = {"time_neutron": 100} + +# Create the neutron pulse source (by default, isotropic direction, t=0) +space = openmc.stats.Point() # At the origin (0, 0, 0) +energy = openmc.stats.delta_function(14.1e6) # At 14.1 MeV +model.settings.source = openmc.IndependentSource(space=space, energy=energy) + +############################################################################### +# Define tallies + +# Create time filter +t_grid = np.insert(np.logspace(-6, 2, 100), 0, 0.0) +time_filter = openmc.TimeFilter(t_grid) + +# Tally for total neutron density in time +density_tally = openmc.Tally(name="Density") +density_tally.filters = [time_filter] +density_tally.scores = ["inverse-velocity"] + +# Add tallies to model +model.tallies = openmc.Tallies([density_tally]) + + +# Run the model +model.run(apply_tally_results=True) + +# Bin-averaged result +density_mean = density_tally.mean.ravel() / np.diff(t_grid) + +# Plot particle density versus time +fig, ax = plt.subplots() +ax.stairs(density_mean, t_grid) +ax.set_xscale("log") +ax.set_yscale("log") +ax.set_xlabel("Time [s]") +ax.set_ylabel("Total density") +ax.grid() +plt.show() diff --git a/include/openmc/capi.h b/include/openmc/capi.h index 54257d0938..d8041ef414 100644 --- a/include/openmc/capi.h +++ b/include/openmc/capi.h @@ -17,6 +17,8 @@ int openmc_cell_get_fill( int openmc_cell_get_id(int32_t index, int32_t* id); int openmc_cell_get_temperature( int32_t index, const int32_t* instance, double* T); +int openmc_cell_get_density( + int32_t index, const int32_t* instance, double* rho); int openmc_cell_get_translation(int32_t index, double xyz[]); int openmc_cell_get_rotation(int32_t index, double rot[], size_t* n); int openmc_cell_get_name(int32_t index, const char** name); @@ -27,6 +29,8 @@ int openmc_cell_set_fill( int openmc_cell_set_id(int32_t index, int32_t id); int openmc_cell_set_temperature( int32_t index, double T, const int32_t* instance, bool set_contained = false); +int openmc_cell_set_density(int32_t index, double rho, const int32_t* instance, + bool set_contained = false); int openmc_cell_set_translation(int32_t index, const double xyz[]); int openmc_cell_set_rotation(int32_t index, const double rot[], size_t rot_len); int openmc_dagmc_universe_get_cell_ids( diff --git a/include/openmc/cell.h b/include/openmc/cell.h index d2365c84c4..a581291dfc 100644 --- a/include/openmc/cell.h +++ b/include/openmc/cell.h @@ -216,6 +216,18 @@ public: //! \return Temperature in [K] double temperature(int32_t instance = -1) const; + //! Get the density multiplier of a cell instance + //! \param[in] instance Instance index. If -1 is given, the density multiplier + //! for the first instance is returned. + //! \return Density multiplier + double density_mult(int32_t instance = -1) const; + + //! Get the density of a cell instance in g/cm3 + //! \param[in] instance Instance index. If -1 is given, the density + //! for the first instance is returned. + //! \return Density in [g/cm3] + double density(int32_t instance = -1) const; + //! Set the temperature of a cell instance //! \param[in] T Temperature in [K] //! \param[in] instance Instance index. If -1 is given, the temperature for @@ -226,6 +238,16 @@ public: void set_temperature( double T, int32_t instance = -1, bool set_contained = false); + //! Set the density of a cell instance + //! \param[in] density Density [g/cm3] + //! \param[in] instance Instance index. If -1 is given, the density + //! for all instances is set. + //! \param[in] set_contained If this cell is not filled with a material, + //! collect all contained cells with material fills and set their + //! densities. + void set_density( + double density, int32_t instance = -1, bool set_contained = false); + int32_t n_instances() const; //! Set the rotation matrix of a cell instance @@ -341,6 +363,9 @@ public: //! T. The units are sqrt(eV). vector sqrtkT_; + //! \brief Unitless density multiplier(s) within this cell. + vector density_mult_; + //! \brief Neighboring cells in the same universe. NeighborList neighbors_; diff --git a/include/openmc/constants.h b/include/openmc/constants.h index ae70560795..df13da3707 100644 --- a/include/openmc/constants.h +++ b/include/openmc/constants.h @@ -28,11 +28,11 @@ constexpr int HDF5_VERSION[] {3, 0}; constexpr array VERSION_STATEPOINT {18, 1}; constexpr array VERSION_PARTICLE_RESTART {2, 0}; constexpr array VERSION_TRACK {3, 0}; -constexpr array VERSION_SUMMARY {6, 0}; +constexpr array VERSION_SUMMARY {6, 1}; constexpr array VERSION_VOLUME {1, 0}; constexpr array VERSION_VOXEL {2, 0}; constexpr array VERSION_MGXS_LIBRARY {1, 0}; -constexpr array VERSION_PROPERTIES {1, 0}; +constexpr array VERSION_PROPERTIES {1, 1}; constexpr array VERSION_WEIGHT_WINDOWS {1, 0}; // ============================================================================ diff --git a/include/openmc/geometry_aux.h b/include/openmc/geometry_aux.h index f60f2d649e..4dafdea5c2 100644 --- a/include/openmc/geometry_aux.h +++ b/include/openmc/geometry_aux.h @@ -37,6 +37,12 @@ void adjust_indices(); void assign_temperatures(); +//============================================================================== +//! Finalize densities (compute density multipliers). +//============================================================================== + +void finalize_cell_densities(); + //============================================================================== //! \brief Obtain a list of temperatures that each nuclide/thermal scattering //! table appears at in the model. Later, this list is used to determine the diff --git a/include/openmc/ifp.h b/include/openmc/ifp.h index 633a262d5f..01904d13c9 100644 --- a/include/openmc/ifp.h +++ b/include/openmc/ifp.h @@ -68,15 +68,14 @@ vector _ifp(const T& value, const vector& data) //! //! Add the IFP information in the IFP banks using the same index //! as the one used to append the fission site to the fission bank. +//! The information stored are the delayed group number and lifetime +//! of the neutron that created the fission event. //! Multithreading protection is guaranteed by the index returned by the //! thread_safe_append call in physics.cpp. //! -//! Needs to be done after the delayed group is found. -//! //! \param[in] p Particle -//! \param[in] site Fission site //! \param[in] idx Bank index from the thread_safe_append call in physics.cpp -void ifp(const Particle& p, const SourceSite& site, int64_t idx); +void ifp(const Particle& p, int64_t idx); //! Resize the IFP banks used in the simulation void resize_simulation_ifp_banks(); diff --git a/include/openmc/material.h b/include/openmc/material.h index fe587a86f9..e36946c71b 100644 --- a/include/openmc/material.h +++ b/include/openmc/material.h @@ -99,6 +99,13 @@ public: //---------------------------------------------------------------------------- // Accessors + //! Get the atom density in [atom/b-cm] + //! \return Density in [atom/b-cm] + double atom_density(int32_t i, double rho_multiplier = 1.0) const + { + return atom_density_(i) * rho_multiplier; + } + //! Get density in [atom/b-cm] //! \return Density in [atom/b-cm] double density() const { return density_; } diff --git a/include/openmc/mesh.h b/include/openmc/mesh.h index c15e256977..a56705c9ec 100644 --- a/include/openmc/mesh.h +++ b/include/openmc/mesh.h @@ -666,9 +666,8 @@ class UnstructuredMesh : public Mesh { public: // Constructors - UnstructuredMesh() {}; + UnstructuredMesh() { n_dimension_ = 3; }; UnstructuredMesh(pugi::xml_node node); - UnstructuredMesh(const std::string& filename); static const std::string mesh_type; virtual std::string get_mesh_type() const override; @@ -991,25 +990,26 @@ public: libMesh::MeshBase* mesh_ptr() const { return m_; }; +protected: + // Methods + + //! Translate a bin value to an element reference + virtual const libMesh::Elem& get_element_from_bin(int bin) const; + + //! Translate an element pointer to a bin index + virtual int get_bin_from_element(const libMesh::Elem* elem) const; + + libMesh::MeshBase* m_; //!< pointer to libMesh MeshBase instance, always set + //!< during intialization private: void initialize() override; void set_mesh_pointer_from_filename(const std::string& filename); void build_eqn_sys(); - // Methods - - //! Translate a bin value to an element reference - const libMesh::Elem& get_element_from_bin(int bin) const; - - //! Translate an element pointer to a bin index - int get_bin_from_element(const libMesh::Elem* elem) const; - // Data members unique_ptr unique_m_ = nullptr; //!< pointer to the libMesh MeshBase instance, only used if mesh is //!< created inside OpenMC - libMesh::MeshBase* m_; //!< pointer to libMesh MeshBase instance, always set - //!< during intialization vector> pl_; //!< per-thread point locators unique_ptr @@ -1023,8 +1023,34 @@ private: libMesh::BoundingBox bbox_; //!< bounding box of the mesh libMesh::dof_id_type first_element_id_; //!< id of the first element in the mesh +}; + +class AdaptiveLibMesh : public LibMesh { +public: + // Constructor + AdaptiveLibMesh( + libMesh::MeshBase& input_mesh, double length_multiplier = 1.0); + + // Overridden methods + int n_bins() const override; + + void add_score(const std::string& var_name) override; + + void set_score_data(const std::string& var_name, const vector& values, + const vector& std_dev) override; + + void write(const std::string& filename) const override; + +protected: + // Overridden methods + int get_bin_from_element(const libMesh::Elem* elem) const override; + + const libMesh::Elem& get_element_from_bin(int bin) const override; + +private: + // Data members + const libMesh::dof_id_type num_active_; //!< cached number of active elements - const bool adaptive_; //!< whether this mesh has adaptivity enabled or not std::vector bin_to_elem_map_; //!< mapping bin indices to dof indices for active //!< elements diff --git a/include/openmc/particle_data.h b/include/openmc/particle_data.h index 2c00e4e3c2..5a2118ce43 100644 --- a/include/openmc/particle_data.h +++ b/include/openmc/particle_data.h @@ -419,6 +419,34 @@ public: return sqrtkT_last_; } + // density multiplier of the current and last cell + double& density_mult() + { + return density_mult_; + } + const double& density_mult() const + { + return density_mult_; + } + double& density_mult_last() + { + return density_mult_last_; + } + + // density multiplier of the current and last cell + double& density_mult() + { + return density_mult_; + } + const double& density_mult() const + { + return density_mult_; + } + double& density_mult_last() + { + return density_mult_last_; + } + private: int64_t id_ {-1}; //!< Unique ID @@ -447,6 +475,9 @@ private: double sqrtkT_ {-1.0}; //!< sqrt(k_Boltzmann * temperature) in eV double sqrtkT_last_ {0.0}; //!< last temperature + double density_mult_ {1.0}; //!< density multiplier + double density_mult_last_ {1.0}; //!< last density multiplier + double collision_distance_ {INFTY}; #ifdef OPENMC_DAGMC_ENABLED @@ -653,6 +684,7 @@ public: int& event_mt() { return event_mt_; } // MT number of collision const int& event_mt() const { return event_mt_; } int& delayed_group() { return delayed_group_; } // delayed group + const int& delayed_group() const { return delayed_group_; } const int& parent_nuclide() const { return parent_nuclide_; } int& parent_nuclide() { return parent_nuclide_; } // Parent nuclide diff --git a/include/openmc/settings.h b/include/openmc/settings.h index 069d94c3b2..999b1b83f8 100644 --- a/include/openmc/settings.h +++ b/include/openmc/settings.h @@ -150,6 +150,7 @@ extern double source_rejection_fraction; //!< Minimum fraction of source sites extern int max_history_splits; //!< maximum number of particle splits for weight windows +extern int max_secondaries; //!< maximum number of secondaries in the bank extern int64_t ssw_max_particles; //!< maximum number of particles to be //!< banked on surfaces per process extern int64_t ssw_max_files; //!< maximum number of surface source files diff --git a/include/openmc/tallies/tally.h b/include/openmc/tallies/tally.h index 8c088c4608..3beeb9d5ac 100644 --- a/include/openmc/tallies/tally.h +++ b/include/openmc/tallies/tally.h @@ -203,11 +203,14 @@ extern vector> tallies; extern vector active_tallies; extern vector active_analog_tallies; extern vector active_tracklength_tallies; +extern vector active_timed_tracklength_tallies; extern vector active_collision_tallies; extern vector active_meshsurf_tallies; extern vector active_surface_tallies; extern vector active_pulse_height_tallies; extern vector pulse_height_cells; +extern vector time_grid; + } // namespace model namespace simulation { @@ -239,6 +242,13 @@ void read_tallies_xml(pugi::xml_node root); //! batch to a new random variable void accumulate_tallies(); +//! Determine distance to next time boundary +// +//! \param time Current time of particle +//! \param speed Speed of particle +//! \return Distance to next time boundary (or INFTY if none) +double distance_to_time_boundary(double time, double speed); + //! Determine which tallies should be active void setup_active_tallies(); diff --git a/include/openmc/tallies/tally_scoring.h b/include/openmc/tallies/tally_scoring.h index 28f1f16223..c3ab779e6a 100644 --- a/include/openmc/tallies/tally_scoring.h +++ b/include/openmc/tallies/tally_scoring.h @@ -91,6 +91,16 @@ void score_analog_tally_mg(Particle& p); //! \param distance The distance in [cm] traveled by the particle void score_tracklength_tally(Particle& p, double distance); +//! Score time filtered tallies using a tracklength estimate of the flux. +// +//! This is triggered at every event (surface crossing, lattice crossing, or +//! collision) and thus cannot be done for tallies that require post-collision +//! information. +// +//! \param p The particle being tracked +//! \param total_distance The distance in [cm] traveled by the particle +void score_timed_tracklength_tally(Particle& p, double total_distance); + //! Score surface or mesh-surface tallies for particle currents. // //! \param p The particle being tracked diff --git a/openmc/cell.py b/openmc/cell.py index 7d450eb7fe..ebabcf7620 100644 --- a/openmc/cell.py +++ b/openmc/cell.py @@ -72,6 +72,10 @@ class Cell(IDManagerMixin): temperature : float or iterable of float Temperature of the cell in Kelvin. Multiple temperatures can be given to give each distributed cell instance a unique temperature. + density : float or iterable of float + Density of the cell in [g/cm3]. Multiple densities can be given to give + each distributed cell instance a unique density. Densities set here will + override the density set on materials used to fill the cell. translation : Iterable of float If the cell is filled with a universe, this array specifies a vector that is used to translate (shift) the universe. @@ -109,6 +113,7 @@ class Cell(IDManagerMixin): self._rotation = None self._rotation_matrix = None self._temperature = None + self._density = None self._translation = None self._paths = None self._num_instances = None @@ -146,6 +151,7 @@ class Cell(IDManagerMixin): if self.fill_type == 'material': string += '\t{0: <15}=\t{1}\n'.format('Temperature', self.temperature) + string += '\t{0: <15}=\t{1}\n'.format('Density', self.density) string += '{: <16}=\t{}\n'.format('\tTranslation', self.translation) string += '{: <16}=\t{}\n'.format('\tVolume', self.volume) @@ -262,6 +268,30 @@ class Cell(IDManagerMixin): else: self._temperature = temperature + @property + def density(self): + return self._density + + @density.setter + def density(self, density): + # Make sure densities are greater than zero + cv.check_type('cell density', density, (Iterable, Real), none_ok=True) + if isinstance(density, Iterable): + cv.check_type('cell density', density, Iterable, Real) + for rho in density: + cv.check_greater_than('cell density', rho, 0.0, True) + elif isinstance(density, Real): + cv.check_greater_than('cell density', density, 0.0, True) + + # If this cell is filled with a universe or lattice, propagate + # densities to all cells contained. Otherwise, simply assign it. + if self.fill_type in ('universe', 'lattice'): + for c in self.get_all_cells().values(): + if c.fill_type == 'material': + c._density = density + else: + self._density = density + @property def translation(self): return self._translation @@ -530,6 +560,8 @@ class Cell(IDManagerMixin): clone.volume = self.volume if self.temperature is not None: clone.temperature = self.temperature + if self.density is not None: + clone.density = self.density if self.translation is not None: clone.translation = self.translation if self.rotation is not None: @@ -662,6 +694,12 @@ class Cell(IDManagerMixin): else: element.set("temperature", str(self.temperature)) + if self.density is not None: + if isinstance(self.density, Iterable): + element.set("density", ' '.join(str(t) for t in self.density)) + else: + element.set("density", str(self.density)) + if self.translation is not None: element.set("translation", ' '.join(map(str, self.translation))) @@ -723,10 +761,13 @@ class Cell(IDManagerMixin): c.temperature = temperature else: c.temperature = temperature[0] + density = get_elem_list(elem, 'density', float) + if density is not None: + c.density = density if len(density) > 1 else density[0] v = get_text(elem, 'volume') if v is not None: c.volume = float(v) - for key in ('temperature', 'rotation', 'translation'): + for key in ('temperature', 'density', 'rotation', 'translation'): values = get_elem_list(elem, key, float) if values is not None: if key == 'rotation' and len(values) == 9: diff --git a/openmc/deplete/abc.py b/openmc/deplete/abc.py index e6d4c15127..c5a6219c7b 100644 --- a/openmc/deplete/abc.py +++ b/openmc/deplete/abc.py @@ -12,6 +12,7 @@ from copy import deepcopy from inspect import signature from numbers import Real, Integral from pathlib import Path +from textwrap import dedent import time from typing import Optional, Union, Sequence from warnings import warn @@ -526,7 +527,7 @@ class Integrator(ABC): r"""Abstract class for solving the time-integration for depletion """ - _params = r""" + _params = dedent(r""" Parameters ---------- operator : openmc.deplete.abc.TransportOperator @@ -617,7 +618,7 @@ class Integrator(ABC): .. versionadded:: 0.15.3 - """ + """) def __init__( self, @@ -1020,7 +1021,7 @@ class SIIntegrator(Integrator): the number of particles used in initial transport calculation """ - _params = r""" + _params = dedent(r""" Parameters ---------- operator : openmc.deplete.abc.TransportOperator @@ -1108,7 +1109,7 @@ class SIIntegrator(Integrator): .. versionadded:: 0.12 - """ + """) def __init__( self, diff --git a/openmc/deplete/chain.py b/openmc/deplete/chain.py index f1a23317fb..ac5c02aa50 100644 --- a/openmc/deplete/chain.py +++ b/openmc/deplete/chain.py @@ -627,9 +627,15 @@ class Chain: """ reactions = set() - # Use DOK matrix as intermediate representation for matrix n = len(self) - matrix = sp.dok_matrix((n, n)) + + # we accumulate indices and value entries for everything and create the matrix + # in one step at the end to avoid expensive index checks scipy otherwise does. + rows, cols, vals = [], [], [] + def setval(i, j, val): + rows.append(i) + cols.append(j) + vals.append(val) if fission_yields is None: fission_yields = self.get_default_fission_yields() @@ -639,7 +645,7 @@ class Chain: if nuc.half_life is not None: decay_constant = math.log(2) / nuc.half_life if decay_constant != 0.0: - matrix[i, i] -= decay_constant + setval(i, i, -decay_constant) # Gain from radioactive decay if nuc.n_decay_modes != 0: @@ -650,19 +656,19 @@ class Chain: if branch_val != 0.0: if target is not None: k = self.nuclide_dict[target] - matrix[k, i] += branch_val + setval(k, i, branch_val) # Produce alphas and protons from decay if 'alpha' in decay_type: k = self.nuclide_dict.get('He4') if k is not None: count = decay_type.count('alpha') - matrix[k, i] += count * branch_val + setval(k, i, count * branch_val) elif 'p' in decay_type: k = self.nuclide_dict.get('H1') if k is not None: count = decay_type.count('p') - matrix[k, i] += count * branch_val + setval(k, i, count * branch_val) if nuc.name in rates.index_nuc: # Extract all reactions for this nuclide in this cell @@ -679,13 +685,13 @@ class Chain: if r_type not in reactions: reactions.add(r_type) if path_rate != 0.0: - matrix[i, i] -= path_rate + setval(i, i, -path_rate) # Gain term; allow for total annihilation for debug purposes if r_type != 'fission': if target is not None and path_rate != 0.0: k = self.nuclide_dict[target] - matrix[k, i] += path_rate * br + setval(k, i, path_rate * br) # Determine light nuclide production, e.g., (n,d) should # produce H2 @@ -693,20 +699,20 @@ class Chain: for light_nuc in light_nucs: k = self.nuclide_dict.get(light_nuc) if k is not None: - matrix[k, i] += path_rate * br + setval(k, i, path_rate * br) else: for product, y in fission_yields[nuc.name].items(): yield_val = y * path_rate if yield_val != 0.0: k = self.nuclide_dict[product] - matrix[k, i] += yield_val + setval(k, i, yield_val) # Clear set of reactions reactions.clear() # Return CSC representation instead of DOK - return matrix.tocsc() + return sp.csc_matrix((vals, (rows, cols)), shape=(n, n)) def form_rr_term(self, tr_rates, current_timestep, mats): """Function to form the transfer rate term matrices. diff --git a/openmc/deplete/integrators.py b/openmc/deplete/integrators.py index 000cb2c41c..7c543a6cb8 100644 --- a/openmc/deplete/integrators.py +++ b/openmc/deplete/integrators.py @@ -22,7 +22,6 @@ class PredictorIntegrator(Integrator): .. math:: \mathbf{n}_{i+1} = \exp\left(h\mathbf{A}(\mathbf{n}_i) \right) \mathbf{n}_i - """ _num_stages = 1 diff --git a/openmc/deplete/transfer_rates.py b/openmc/deplete/transfer_rates.py index 4c28c7d150..4f2b9aba5f 100644 --- a/openmc/deplete/transfer_rates.py +++ b/openmc/deplete/transfer_rates.py @@ -366,7 +366,7 @@ class ExternalSourceRates(ExternalRates): rate : float External source rate in units of mass per time. A positive or negative value corresponds to a feed or removal rate, respectively. - units : {'g/s', 'g/min', 'g/h', 'g/d', 'g/a'} + rate_units : {'g/s', 'g/min', 'g/h', 'g/d', 'g/a'} Units for values specified in the `rate` argument. 's' for seconds, 'min' for minutes, 'h' for hours, 'a' for Julian years. timesteps : list of int, optional diff --git a/openmc/lib/cell.py b/openmc/lib/cell.py index 971a24cba9..dfd09d2f9c 100644 --- a/openmc/lib/cell.py +++ b/openmc/lib/cell.py @@ -34,6 +34,10 @@ _dll.openmc_cell_get_temperature.argtypes = [ c_int32, POINTER(c_int32), POINTER(c_double)] _dll.openmc_cell_get_temperature.restype = c_int _dll.openmc_cell_get_temperature.errcheck = _error_handler +_dll.openmc_cell_get_density.argtypes = [ + c_int32, POINTER(c_int32), POINTER(c_double)] +_dll.openmc_cell_get_density.restype = c_int +_dll.openmc_cell_get_density.errcheck = _error_handler _dll.openmc_cell_get_name.argtypes = [c_int32, POINTER(c_char_p)] _dll.openmc_cell_get_name.restype = c_int _dll.openmc_cell_get_name.errcheck = _error_handler @@ -58,6 +62,10 @@ _dll.openmc_cell_set_temperature.argtypes = [ c_int32, c_double, POINTER(c_int32), c_bool] _dll.openmc_cell_set_temperature.restype = c_int _dll.openmc_cell_set_temperature.errcheck = _error_handler +_dll.openmc_cell_set_density.argtypes = [ + c_int32, c_double, POINTER(c_int32), c_bool] +_dll.openmc_cell_set_density.restype = c_int +_dll.openmc_cell_set_density.errcheck = _error_handler _dll.openmc_cell_set_translation.argtypes = [c_int32, POINTER(c_double)] _dll.openmc_cell_set_translation.restype = c_int _dll.openmc_cell_set_translation.errcheck = _error_handler @@ -236,6 +244,44 @@ class Cell(_FortranObjectWithID): _dll.openmc_cell_set_temperature(self._index, T, instance, set_contained) + def get_density(self, instance: int | None = None): + """Get the density of a cell in [g/cm3] + + Parameters + ---------- + instance : int or None + Which instance of the cell + + """ + + if instance is not None: + instance = c_int32(instance) + + rho = c_double() + _dll.openmc_cell_get_density(self._index, instance, rho) + return rho.value + + def set_density(self, rho: float, instance: int | None = None, + set_contained: bool = False): + """Set the density of a cell + + Parameters + ---------- + rho : float + Density of the cell in [g/cm3] + instance : int or None + Which instance of the cell + set_contained : bool + If cell is not filled by a material, whether to set the density + of all filled cells + + """ + + if instance is not None: + instance = c_int32(instance) + + _dll.openmc_cell_set_density(self._index, rho, instance, set_contained) + @property def translation(self): translation = np.zeros(3) diff --git a/openmc/mesh.py b/openmc/mesh.py index 2e9abd1b65..9601207e91 100644 --- a/openmc/mesh.py +++ b/openmc/mesh.py @@ -287,6 +287,7 @@ class MeshBase(IDManagerMixin, ABC): model: openmc.Model, n_samples: int | tuple[int, int, int] = 10_000, include_void: bool = True, + material_volumes: MeshMaterialVolumes | None = None, **kwargs ) -> list[openmc.Material]: """Generate homogenized materials over each element in a mesh. @@ -305,8 +306,12 @@ class MeshBase(IDManagerMixin, ABC): the x, y, and z dimensions. include_void : bool, optional Whether homogenization should include voids. + material_volumes : MeshMaterialVolumes, optional + Previously computed mesh material volumes to use for homogenization. + If not provided, they will be computed by calling + :meth:`material_volumes`. **kwargs - Keyword-arguments passed to :meth:`MeshBase.material_volumes`. + Keyword-arguments passed to :meth:`material_volumes`. Returns ------- @@ -314,7 +319,10 @@ class MeshBase(IDManagerMixin, ABC): Homogenized material in each mesh element """ - vols = self.material_volumes(model, n_samples, **kwargs) + if material_volumes is None: + vols = self.material_volumes(model, n_samples, **kwargs) + else: + vols = material_volumes mat_volume_by_element = [vols.by_element(i) for i in range(vols.num_elements)] # Create homogenized material for each element @@ -424,7 +432,6 @@ class MeshBase(IDManagerMixin, ABC): # Restore original tallies model.tallies = original_tallies - return volumes diff --git a/openmc/mgxs/mgxs.py b/openmc/mgxs/mgxs.py index 1bc7f93878..b8f2b8d3fb 100644 --- a/openmc/mgxs/mgxs.py +++ b/openmc/mgxs/mgxs.py @@ -2,6 +2,7 @@ import copy from numbers import Integral import os import warnings +from textwrap import dedent import h5py import numpy as np @@ -164,7 +165,7 @@ class MGXS: """ - _params = """ + _params = dedent(""" Parameters ---------- domain : openmc.Material or openmc.Cell or openmc.Universe or openmc.RegularMesh @@ -251,7 +252,7 @@ class MGXS: .. versionadded:: 0.13.1 - """ + """) # Store whether or not the number density should be removed for microscopic # values of this data diff --git a/openmc/model/model.py b/openmc/model/model.py index 03fdcda1fc..c1ffafafd3 100644 --- a/openmc/model/model.py +++ b/openmc/model/model.py @@ -1,7 +1,7 @@ from __future__ import annotations from collections.abc import Iterable, Sequence import copy -from functools import lru_cache +from functools import cache from pathlib import Path import math from numbers import Integral, Real @@ -160,7 +160,7 @@ class Model: return False @property - @lru_cache(maxsize=None) + @cache def _materials_by_id(self) -> dict: """Dictionary mapping material ID --> material""" if self.materials: @@ -170,14 +170,14 @@ class Model: return {mat.id: mat for mat in mats} @property - @lru_cache(maxsize=None) + @cache def _cells_by_id(self) -> dict: """Dictionary mapping cell ID --> cell""" cells = self.geometry.get_all_cells() return {cell.id: cell for cell in cells.values()} @property - @lru_cache(maxsize=None) + @cache def _cells_by_name(self) -> dict[int, openmc.Cell]: # Get the names maps, but since names are not unique, store a set for # each name key. In this way when the user requests a change by a name, @@ -190,7 +190,7 @@ class Model: return result @property - @lru_cache(maxsize=None) + @cache def _materials_by_name(self) -> dict[int, openmc.Material]: if self.materials is None: mats = self.geometry.get_all_materials().values() @@ -203,6 +203,37 @@ class Model: result[mat.name].add(mat) return result + def add_kinetics_parameters_tallies(self, num_groups: int | None = None): + """Add tallies for calculating kinetics parameters using the IFP method. + + This method adds tallies to the model for calculating two kinetics + parameters, the generation time and the effective delayed neutron + fraction (beta effective). After a model is run, these parameters can be + determined through the :meth:`openmc.StatePoint.ifp_results` method. + + Parameters + ---------- + num_groups : int, optional + Number of precursor groups to filter the delayed neutron fraction. + If None, only the total effective delayed neutron fraction is + tallied. + + """ + if not any('ifp-time-numerator' in t.scores for t in self.tallies): + gen_time_tally = openmc.Tally(name='IFP time numerator') + gen_time_tally.scores = ['ifp-time-numerator'] + self.tallies.append(gen_time_tally) + if not any('ifp-beta-numerator' in t.scores for t in self.tallies): + beta_tally = openmc.Tally(name='IFP beta numerator') + beta_tally.scores = ['ifp-beta-numerator'] + if num_groups is not None: + beta_tally.filters = [openmc.DelayedGroupFilter(list(range(1, num_groups + 1)))] + self.tallies.append(beta_tally) + if not any('ifp-denominator' in t.scores for t in self.tallies): + denom_tally = openmc.Tally(name='IFP denominator') + denom_tally.scores = ['ifp-denominator'] + self.tallies.append(denom_tally) + @classmethod def from_xml( cls, @@ -633,7 +664,7 @@ class Model: raise ValueError("Number of cells in properties file doesn't " "match current model.") - # Update temperatures for cells filled with materials + # Update temperatures and densities for cells filled with materials for name, group in cells_group.items(): cell_id = int(name.split()[1]) cell = cells[cell_id] @@ -648,6 +679,20 @@ class Model: else: lib_cell.set_temperature(temperature[0]) + if group['density']: + density = group['density'][()] + if density.size > 1: + cell.density = [rho for rho in density] + else: + cell.density = density + if self.is_initialized: + lib_cell = openmc.lib.cells[cell_id] + if density.size > 1: + for i, rho in enumerate(density): + lib_cell.set_density(rho, i) + else: + lib_cell.set_density(density[0]) + # Make sure number of materials matches mats_group = fh['materials'] n_cells = mats_group.attrs['n_materials'] diff --git a/openmc/plots.py b/openmc/plots.py index 072a9a319e..e9130f0bea 100644 --- a/openmc/plots.py +++ b/openmc/plots.py @@ -1,6 +1,7 @@ from collections.abc import Iterable, Mapping from numbers import Integral, Real from pathlib import Path +from textwrap import dedent import h5py import lxml.etree as ET @@ -167,7 +168,8 @@ _SVG_COLORS = { 'yellowgreen': (154, 205, 50) } -_PLOT_PARAMS = """ +_PLOT_PARAMS = dedent("""\ + Parameters ---------- origin : iterable of float @@ -249,7 +251,7 @@ _PLOT_PARAMS = """ ------- matplotlib.axes.Axes Axes containing resulting image -""" +""") # Decorator for consistently adding plot parameters to docstrings (Model.plot, diff --git a/openmc/plotter.py b/openmc/plotter.py index 85c4963a76..693cdaca4e 100644 --- a/openmc/plotter.py +++ b/openmc/plotter.py @@ -413,7 +413,8 @@ def _calculate_cexs_nuclide(this, types, temperature=294., sab_name=None, # Prep S(a,b) data if needed if sab_name: - sab = openmc.data.ThermalScattering.from_hdf5(sab_name) + sab = openmc.data.ThermalScattering.from_hdf5( + library.get_by_material(sab_name, data_type='thermal')['path']) # Obtain the nearest temperature if strT in sab.temperatures: sabT = strT @@ -640,14 +641,13 @@ def _calculate_cexs_elem_mat(this, types, temperature=294., sab = openmc.data.ThermalScattering.from_hdf5( library.get_by_material(sab_name, data_type='thermal')['path']) for nuc in sab.nuclides: - sabs[nuc] = library.get_by_material(sab_name, - data_type='thermal')['path'] + sabs[nuc] = sab_name else: if sab_name: - sab = openmc.data.ThermalScattering.from_hdf5(sab_name) + sab = openmc.data.ThermalScattering.from_hdf5( + library.get_by_material(sab_name, data_type='thermal')['path']) for nuc in sab.nuclides: - sabs[nuc] = library.get_by_material(sab_name, - data_type='thermal')['path'] + sabs[nuc] = sab_name # Now we can create the data sets to be plotted xs = {} @@ -655,8 +655,8 @@ def _calculate_cexs_elem_mat(this, types, temperature=294., for nuclide in nuclides.items(): name = nuclide[0] nuc = nuclide[1] - sab_tab = sabs[name] - temp_E, temp_xs = calculate_cexs(nuc, types, T, sab_tab, cross_sections, + sab_name = sabs[name] + temp_E, temp_xs = calculate_cexs(nuc, types, T, sab_name, cross_sections, ncrystal_cfg=ncrystal_cfg ) E.append(temp_E) diff --git a/openmc/settings.py b/openmc/settings.py index ce3743ff5d..7bbc31c192 100644 --- a/openmc/settings.py +++ b/openmc/settings.py @@ -128,6 +128,10 @@ class Settings: Maximum number of times a particle can split during a history .. versionadded:: 0.13 + max_secondaries : int + Maximum secondary bank size + + .. versionadded:: 0.15.3 max_tracks : int Maximum number of tracks written to a track file (per MPI process). @@ -431,6 +435,7 @@ class Settings: self._weight_window_checkpoints = {} self._max_history_splits = None self._max_tracks = None + self._max_secondaries = None self._use_decay_photons = None self._random_ray = {} @@ -1137,6 +1142,16 @@ class Settings: cv.check_greater_than('max particle splits', value, 0) self._max_history_splits = value + @property + def max_secondaries(self) -> int: + return self._max_secondaries + + @max_secondaries.setter + def max_secondaries(self, value: int): + cv.check_type('maximum secondary bank size', value, Integral) + cv.check_greater_than('max secondary bank size', value, 0) + self._max_secondaries = value + @property def max_tracks(self) -> int: return self._max_tracks @@ -1673,6 +1688,11 @@ class Settings: elem = ET.SubElement(root, "max_history_splits") elem.text = str(self._max_history_splits) + def _create_max_secondaries_subelement(self, root): + if self._max_secondaries is not None: + elem = ET.SubElement(root, "max_secondaries") + elem.text = str(self._max_secondaries) + def _create_max_tracks_subelement(self, root): if self._max_tracks is not None: elem = ET.SubElement(root, "max_tracks") @@ -2073,6 +2093,11 @@ class Settings: if text is not None: self.max_history_splits = int(text) + def _max_secondaries_from_xml_element(self, root): + text = get_text(root, 'max_secondaries') + if text is not None: + self.max_secondaries = int(text) + def _max_tracks_from_xml_element(self, root): text = get_text(root, 'max_tracks') if text is not None: @@ -2194,6 +2219,7 @@ class Settings: self._create_weight_window_checkpoints_subelement(element) self._create_max_history_splits_subelement(element) self._create_max_tracks_subelement(element) + self._create_max_secondaries_subelement(element) self._create_random_ray_subelement(element, mesh_memo) self._create_use_decay_photons_subelement(element) self._create_source_rejection_fraction_subelement(element) @@ -2302,6 +2328,7 @@ class Settings: settings._weight_window_checkpoints_from_xml_element(elem) settings._max_history_splits_from_xml_element(elem) settings._max_tracks_from_xml_element(elem) + settings._max_secondaries_from_xml_element(elem) settings._random_ray_from_xml_element(elem) settings._use_decay_photons_from_xml_element(elem) settings._source_rejection_fraction_from_xml_element(elem) diff --git a/openmc/statepoint.py b/openmc/statepoint.py index 715becf488..29c11921cb 100644 --- a/openmc/statepoint.py +++ b/openmc/statepoint.py @@ -1,4 +1,5 @@ from datetime import datetime +from collections import namedtuple import glob import re import os @@ -8,6 +9,7 @@ import h5py import numpy as np from pathlib import Path from uncertainties import ufloat +from uncertainties.unumpy import uarray import openmc import openmc.checkvalue as cv @@ -15,6 +17,9 @@ import openmc.checkvalue as cv _VERSION_STATEPOINT = 18 +KineticsParameters = namedtuple("KineticsParameters", ["generation_time", "beta_effective"]) + + class StatePoint: """State information on a simulation at a certain point in time (at the end of a given batch). Statepoints can be used to analyze tally results as well @@ -710,3 +715,56 @@ class StatePoint: tally_filter.paths = cell.paths self._summary = summary + + def get_kinetics_parameters(self) -> KineticsParameters: + """Get kinetics parameters from IFP tallies. + + This method searches the tallies in the statepoint for the tallies + required to compute kinetics parameters using the Iterated Fission + Probability (IFP) method. + + Returns + ------- + KineticsParameters + A named tuple containing the generation time and effective delayed + neutron fraction. If the necessary tallies for one or both + parameters are not found, that parameter is returned as None. + + """ + + denom_tally = None + gen_time_tally = None + beta_tally = None + for tally in self.tallies.values(): + if 'ifp-denominator' in tally.scores: + denom_tally = self.get_tally(scores=['ifp-denominator']) + if 'ifp-time-numerator' in tally.scores: + gen_time_tally = self.get_tally(scores=['ifp-time-numerator']) + if 'ifp-beta-numerator' in tally.scores: + beta_tally = self.get_tally(scores=['ifp-beta-numerator']) + + if denom_tally is None: + return KineticsParameters(None, None) + + def get_ufloat(tally, score): + return uarray(tally.get_values(scores=[score]), + tally.get_values(scores=[score], value='std_dev')) + + denom_values = get_ufloat(denom_tally, 'ifp-denominator') + if gen_time_tally is None: + generation_time = None + else: + gen_time_values = get_ufloat(gen_time_tally, 'ifp-time-numerator') + gen_time_values /= denom_values*self.keff + generation_time = gen_time_values.flatten()[0] + + if beta_tally is None: + beta_effective = None + else: + beta_values = get_ufloat(beta_tally, 'ifp-beta-numerator') + beta_values /= denom_values + beta_effective = beta_values.flatten() + if beta_effective.size == 1: + beta_effective = beta_effective[0] + + return KineticsParameters(generation_time, beta_effective) diff --git a/openmc/stats/univariate.py b/openmc/stats/univariate.py index 28d5e87ef9..d6cf19f2b8 100644 --- a/openmc/stats/univariate.py +++ b/openmc/stats/univariate.py @@ -480,6 +480,9 @@ class PowerLaw(Univariate): """ def __init__(self, a: float = 0.0, b: float = 1.0, n: float = 0.): + if a >= b: + raise ValueError( + "Lower bound of sampling interval must be less than upper bound.") self.a = a self.b = b self.n = n @@ -494,6 +497,9 @@ class PowerLaw(Univariate): @a.setter def a(self, a): cv.check_type('interval lower bound', a, Real) + if a < 0: + raise ValueError( + "PowerLaw sampling is restricted to positive-valued intervals.") self._a = a @property @@ -503,6 +509,9 @@ class PowerLaw(Univariate): @b.setter def b(self, b): cv.check_type('interval upper bound', b, Real) + if b < 0: + raise ValueError( + "PowerLaw sampling is restricted to positive-valued intervals.") self._b = b @property diff --git a/pyproject.toml b/pyproject.toml index 6e8ed798e7..7705de8dae 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,12 +41,12 @@ dependencies = [ [project.optional-dependencies] depletion-mpi = ["mpi4py"] docs = [ - "sphinx==5.0.2", + "sphinx", "sphinxcontrib-katex", "sphinx-numfig", "jupyter", "sphinxcontrib-svg2pdfconverter", - "sphinx-rtd-theme==1.0.0" + "sphinx-rtd-theme" ] test = ["packaging", "pytest", "pytest-cov", "colorama", "openpyxl"] ci = ["cpp-coveralls", "coveralls"] diff --git a/src/bank.cpp b/src/bank.cpp index 9955939f6e..3e806b3c0b 100644 --- a/src/bank.cpp +++ b/src/bank.cpp @@ -79,16 +79,9 @@ void sort_fission_bank() // Perform exclusive scan summation to determine starting indices in fission // bank for each parent particle id - int64_t tmp = simulation::progeny_per_particle[0]; - simulation::progeny_per_particle[0] = 0; - for (int64_t i = 1; i < simulation::progeny_per_particle.size(); i++) { - int64_t value = simulation::progeny_per_particle[i - 1] + tmp; - tmp = simulation::progeny_per_particle[i]; - simulation::progeny_per_particle[i] = value; - } - - // TODO: C++17 introduces the exclusive_scan() function which could be - // used to replace everything above this point in this function. + std::exclusive_scan(simulation::progeny_per_particle.begin(), + simulation::progeny_per_particle.end(), + simulation::progeny_per_particle.begin(), 0); // We need a scratch vector to make permutation of the fission bank into // sorted order easy. Under normal usage conditions, the fission bank is diff --git a/src/cell.cpp b/src/cell.cpp index f7d077fb51..030ffcbb41 100644 --- a/src/cell.cpp +++ b/src/cell.cpp @@ -142,6 +142,25 @@ double Cell::temperature(int32_t instance) const } } +double Cell::density_mult(int32_t instance) const +{ + if (instance >= 0) { + return density_mult_.size() == 1 ? density_mult_.at(0) + : density_mult_.at(instance); + } else { + return density_mult_[0]; + } +} + +double Cell::density(int32_t instance) const +{ + const int32_t mat_index = material(instance); + if (mat_index == MATERIAL_VOID) + return 0.0; + + return density_mult(instance) * model::materials[mat_index]->density_gpcc(); +} + void Cell::set_temperature(double T, int32_t instance, bool set_contained) { if (settings::temperature_method == TemperatureMethod::INTERPOLATION) { @@ -192,6 +211,47 @@ void Cell::set_temperature(double T, int32_t instance, bool set_contained) } } +void Cell::set_density(double density, int32_t instance, bool set_contained) +{ + if (type_ != Fill::MATERIAL && !set_contained) { + fatal_error( + fmt::format("Attempted to set the density multiplier of cell {} " + "which is not filled by a material.", + id_)); + } + + if (type_ == Fill::MATERIAL) { + const int32_t mat_index = material(instance); + if (mat_index == MATERIAL_VOID) + return; + + if (instance >= 0) { + // If density multiplier vector is not big enough, resize it first + if (density_mult_.size() != n_instances()) + density_mult_.resize(n_instances(), density_mult_[0]); + + // Set density multiplier for the corresponding instance + density_mult_.at(instance) = + density / model::materials[mat_index]->density_gpcc(); + } else { + // Set density multiplier for all instances + for (auto& x : density_mult_) { + x = density / model::materials[mat_index]->density_gpcc(); + } + } + } else { + auto contained_cells = this->get_contained_cells(instance); + for (const auto& entry : contained_cells) { + auto& cell = model::cells[entry.first]; + assert(cell->type_ == Fill::MATERIAL); + auto& instances = entry.second; + for (auto instance : instances) { + cell->set_density(density, instance); + } + } + } +} + void Cell::export_properties_hdf5(hid_t group) const { // Create a group for this cell. @@ -203,6 +263,15 @@ void Cell::export_properties_hdf5(hid_t group) const temps.push_back(sqrtkT_val * sqrtkT_val / K_BOLTZMANN); write_dataset(cell_group, "temperature", temps); + // Write density for one or more cell instances + if (type_ == Fill::MATERIAL && material_.size() > 0) { + vector density; + for (int32_t i = 0; i < density_mult_.size(); ++i) + density.push_back(this->density(i)); + + write_dataset(cell_group, "density", density); + } + close_group(cell_group); } @@ -217,7 +286,7 @@ void Cell::import_properties_hdf5(hid_t group) // Ensure number of temperatures makes sense auto n_temps = temps.size(); if (n_temps > 1 && n_temps != n_instances()) { - throw std::runtime_error(fmt::format( + fatal_error(fmt::format( "Number of temperatures for cell {} doesn't match number of instances", id_)); } @@ -229,6 +298,25 @@ void Cell::import_properties_hdf5(hid_t group) this->set_temperature(temps[i], i); } + // Read densities + if (object_exists(cell_group, "density")) { + vector density; + read_dataset(cell_group, "density", density); + + // Ensure number of densities makes sense + auto n_density = density.size(); + if (n_density > 1 && n_density != n_instances()) { + fatal_error(fmt::format("Number of densities for cell {} " + "doesn't match number of instances", + id_)); + } + + // Set densities. + for (int32_t i = 0; i < n_density; ++i) { + this->set_density(density[i], i); + } + } + close_group(cell_group); } @@ -268,6 +356,8 @@ void Cell::to_hdf5(hid_t cell_group) const temps.push_back(sqrtkT_val * sqrtkT_val / K_BOLTZMANN); write_dataset(group, "temperature", temps); + write_dataset(group, "density_mult", density_mult_); + } else if (type_ == Fill::UNIVERSE) { write_dataset(group, "fill_type", "universe"); write_dataset(group, "fill", model::universes[fill_]->id_); @@ -412,6 +502,44 @@ CSGCell::CSGCell(pugi::xml_node cell_node) } } + // Read the density element which can be distributed similar to temperature. + // These get assigned to the density multiplier, requiring a division by + // the material density. + // Note: calculating the actual density multiplier is deferred until materials + // are finalized. density_mult_ contains the true density in the meantime. + if (check_for_node(cell_node, "density")) { + density_mult_ = get_node_array(cell_node, "density"); + density_mult_.shrink_to_fit(); + + // Make sure this is a material-filled cell. + if (material_.size() == 0) { + fatal_error(fmt::format( + "Cell {} was specified with a density but no material. Density" + "specification is only valid for cells filled with a material.", + id_)); + } + + // Make sure this is a non-void material. + for (auto mat_id : material_) { + if (mat_id == MATERIAL_VOID) { + fatal_error(fmt::format( + "Cell {} was specified with a density, but contains a void " + "material. Density specification is only valid for cells " + "filled with a non-void material.", + id_)); + } + } + + // Make sure all densities are non-negative and greater than zero. + for (auto rho : density_mult_) { + if (rho <= 0) { + fatal_error(fmt::format( + "Cell {} was specified with a density less than or equal to zero", + id_)); + } + } + } + // Read the region specification. std::string region_spec; if (check_for_node(cell_node, "region")) { @@ -1315,6 +1443,24 @@ extern "C" int openmc_cell_set_temperature( return 0; } +extern "C" int openmc_cell_set_density( + int32_t index, double density, const int32_t* instance, bool set_contained) +{ + if (index < 0 || index >= model::cells.size()) { + strcpy(openmc_err_msg, "Index in cells array is out of bounds."); + return OPENMC_E_OUT_OF_BOUNDS; + } + + int32_t instance_index = instance ? *instance : -1; + try { + model::cells[index]->set_density(density, instance_index, set_contained); + } catch (const std::exception& e) { + set_errmsg(e.what()); + return OPENMC_E_UNASSIGNED; + } + return 0; +} + extern "C" int openmc_cell_get_temperature( int32_t index, const int32_t* instance, double* T) { @@ -1333,6 +1479,36 @@ extern "C" int openmc_cell_get_temperature( return 0; } +extern "C" int openmc_cell_get_density( + int32_t index, const int32_t* instance, double* density) +{ + if (index < 0 || index >= model::cells.size()) { + strcpy(openmc_err_msg, "Index in cells array is out of bounds."); + return OPENMC_E_OUT_OF_BOUNDS; + } + + int32_t instance_index = instance ? *instance : -1; + try { + if (model::cells[index]->type_ != Fill::MATERIAL) { + fatal_error( + fmt::format("Cell {}, instance {} is not filled with a material.", + model::cells[index]->id_, instance_index)); + } + + int32_t mat_index = model::cells[index]->material(instance_index); + if (mat_index == MATERIAL_VOID) { + *density = 0.0; + } else { + *density = model::cells[index]->density_mult(instance_index) * + model::materials[mat_index]->density_gpcc(); + } + } catch (const std::exception& e) { + set_errmsg(e.what()); + return OPENMC_E_UNASSIGNED; + } + return 0; +} + //! Get the bounding box of a cell extern "C" int openmc_cell_bounding_box( const int32_t index, double* llc, double* urc) diff --git a/src/eigenvalue.cpp b/src/eigenvalue.cpp index 2685bbe98a..a2120a006d 100644 --- a/src/eigenvalue.cpp +++ b/src/eigenvalue.cpp @@ -127,30 +127,8 @@ void synchronize_bank() "No fission sites banked on MPI rank " + std::to_string(mpi::rank)); } - // Make sure all processors start at the same point for random sampling. Then - // skip ahead in the sequence using the starting index in the 'global' - // fission bank for each processor. - - int64_t id = simulation::total_gen + overall_generation(); - uint64_t seed = init_seed(id, STREAM_TRACKING); - advance_prn_seed(start, &seed); - - // Determine how many fission sites we need to sample from the source bank - // and the probability for selecting a site. - - int64_t sites_needed; - if (total < settings::n_particles) { - sites_needed = settings::n_particles % total; - } else { - sites_needed = settings::n_particles; - } - double p_sample = static_cast(sites_needed) / total; - simulation::time_bank_sample.start(); - // ========================================================================== - // SAMPLE N_PARTICLES FROM FISSION BANK AND PLACE IN TEMP_SITES - // Allocate temporary source bank -- we don't really know how many fission // sites were created, so overallocate by a factor of 3 int64_t index_temp = 0; @@ -165,33 +143,38 @@ void synchronize_bank() temp_delayed_groups, temp_lifetimes, 3 * simulation::work_per_rank); } - for (int64_t i = 0; i < simulation::fission_bank.size(); i++) { - const auto& site = simulation::fission_bank[i]; + // ========================================================================== + // SAMPLE N_PARTICLES FROM FISSION BANK AND PLACE IN TEMP_SITES - // If there are less than n_particles particles banked, automatically add - // int(n_particles/total) sites to temp_sites. For example, if you need - // 1000 and 300 were banked, this would add 3 source sites per banked site - // and the remaining 100 would be randomly sampled. - if (total < settings::n_particles) { - for (int64_t j = 1; j <= settings::n_particles / total; ++j) { - temp_sites[index_temp] = site; - if (settings::ifp_on) { - copy_ifp_data_from_fission_banks( - i, temp_delayed_groups[index_temp], temp_lifetimes[index_temp]); - } - ++index_temp; - } - } + // We use Uniform Combing method to exactly get the targeted particle size + // [https://doi.org/10.1080/00295639.2022.2091906] - // Randomly sample sites needed - if (prn(&seed) < p_sample) { - temp_sites[index_temp] = site; - if (settings::ifp_on) { - copy_ifp_data_from_fission_banks( - i, temp_delayed_groups[index_temp], temp_lifetimes[index_temp]); - } - ++index_temp; + // Make sure all processors use the same random number seed. + int64_t id = simulation::total_gen + overall_generation(); + uint64_t seed = init_seed(id, STREAM_TRACKING); + + // Comb specification + double teeth_distance = static_cast(total) / settings::n_particles; + double teeth_offset = prn(&seed) * teeth_distance; + + // First and last hitting tooth + int64_t end = start + simulation::fission_bank.size(); + int64_t tooth_start = std::ceil((start - teeth_offset) / teeth_distance); + int64_t tooth_end = std::floor((end - teeth_offset) / teeth_distance) + 1; + + // Locally comb particles in fission_bank + double tooth = tooth_start * teeth_distance + teeth_offset; + for (int64_t i = tooth_start; i < tooth_end; i++) { + int64_t idx = std::floor(tooth) - start; + temp_sites[index_temp] = simulation::fission_bank[idx]; + if (settings::ifp_on) { + copy_ifp_data_from_fission_banks( + idx, temp_delayed_groups[index_temp], temp_lifetimes[index_temp]); } + ++index_temp; + + // Next tooth + tooth += teeth_distance; } // At this point, the sampling of source sites is done and now we need to @@ -217,37 +200,6 @@ void synchronize_bank() finish = index_temp; #endif - // Now that the sampling is complete, we need to ensure that we have exactly - // n_particles source sites. The way this is done in a reproducible manner is - // to adjust only the source sites on the last processor. - - if (mpi::rank == mpi::n_procs - 1) { - if (finish > settings::n_particles) { - // If we have extra sites sampled, we will simply discard the extra - // ones on the last processor - index_temp = settings::n_particles - start; - - } else if (finish < settings::n_particles) { - // If we have too few sites, repeat sites from the very end of the - // fission bank - sites_needed = settings::n_particles - finish; - // TODO: sites_needed > simulation::fission_bank.size() or other test to - // make sure we don't need info from other proc - for (int i = 0; i < sites_needed; ++i) { - int i_bank = simulation::fission_bank.size() - sites_needed + i; - temp_sites[index_temp] = simulation::fission_bank[i_bank]; - if (settings::ifp_on) { - copy_ifp_data_from_fission_banks(i_bank, - temp_delayed_groups[index_temp], temp_lifetimes[index_temp]); - } - ++index_temp; - } - } - - // the last processor should not be sending sites to right - finish = simulation::work_index[mpi::rank + 1]; - } - simulation::time_bank_sample.stop(); simulation::time_bank_sendrecv.start(); diff --git a/src/event.cpp b/src/event.cpp index aa3987504b..f33e132d0a 100644 --- a/src/event.cpp +++ b/src/event.cpp @@ -1,4 +1,5 @@ #include "openmc/event.h" + #include "openmc/material.h" #include "openmc/simulation.h" #include "openmc/timer.h" @@ -73,17 +74,17 @@ void process_calculate_xs_events(SharedArray& queue) { simulation::time_event_calculate_xs.start(); - // TODO: If using C++17, perform a parallel sort of the queue - // by particle type, material type, and then energy, in order to - // improve cache locality and reduce thread divergence on GPU. Prior - // to C++17, std::sort is a serial only operation, which in this case - // makes it too slow to be practical for most test problems. + // TODO: If using C++17, we could perform a parallel sort of the queue by + // particle type, material type, and then energy, in order to improve cache + // locality and reduce thread divergence on GPU. However, the parallel + // algorithms typically require linking against an additional library (Intel + // TBB). Prior to C++17, std::sort is a serial only operation, which in this + // case makes it too slow to be practical for most test problems. // // std::sort(std::execution::par_unseq, queue.data(), queue.data() + // queue.size()); int64_t offset = simulation::advance_particle_queue.size(); - ; #pragma omp parallel for schedule(runtime) for (int64_t i = 0; i < queue.size(); i++) { diff --git a/src/finalize.cpp b/src/finalize.cpp index e38b0b251c..25b471a8bd 100644 --- a/src/finalize.cpp +++ b/src/finalize.cpp @@ -92,6 +92,7 @@ int openmc_finalize() settings::max_lost_particles = 10; settings::max_order = 0; settings::max_particles_in_flight = 100000; + settings::max_secondaries = 10000; settings::max_particle_events = 1'000'000; settings::max_history_splits = 10'000'000; settings::max_tracks = 1000; diff --git a/src/geometry.cpp b/src/geometry.cpp index f32b63ed7a..e8c306ecf2 100644 --- a/src/geometry.cpp +++ b/src/geometry.cpp @@ -172,11 +172,13 @@ bool find_cell_inner( p.cell_instance() = cell_instance_at_level(p, p.n_coord() - 1); } - // Set the material and temperature. + // Set the material, temperature and density multiplier. p.material_last() = p.material(); p.material() = c.material(p.cell_instance()); p.sqrtkT_last() = p.sqrtkT(); p.sqrtkT() = c.sqrtkT(p.cell_instance()); + p.density_mult_last() = p.density_mult(); + p.density_mult() = c.density_mult(p.cell_instance()); return true; diff --git a/src/geometry_aux.cpp b/src/geometry_aux.cpp index 51732cf8b9..8a145fb1f1 100644 --- a/src/geometry_aux.cpp +++ b/src/geometry_aux.cpp @@ -195,6 +195,24 @@ void assign_temperatures() //============================================================================== +void finalize_cell_densities() +{ + for (auto& c : model::cells) { + // Convert to density multipliers. + if (!c->density_mult_.empty()) { + for (int32_t instance = 0; instance < c->density_mult_.size(); + ++instance) { + c->density_mult_[instance] /= + model::materials[c->material(instance)]->density_gpcc(); + } + } else { + c->density_mult_ = {1.0}; + } + } +} + +//============================================================================== + void get_temperatures( vector>& nuc_temps, vector>& thermal_temps) { @@ -362,6 +380,17 @@ void prepare_distribcell(const std::vector* user_distribcells) c.id_, c.sqrtkT_.size(), c.n_instances())); } } + + if (c.density_mult_.size() > 1) { + if (c.density_mult_.size() != c.n_instances()) { + fatal_error(fmt::format("Cell {} was specified with {} density " + "multipliers but has {} distributed " + "instances. The number of density multipliers " + "must equal one or the number " + "of instances.", + c.id_, c.density_mult_.size(), c.n_instances())); + } + } } // Search through universes for material cells and assign each one a diff --git a/src/hdf5_interface.cpp b/src/hdf5_interface.cpp index e90aa74901..bf1f79549e 100644 --- a/src/hdf5_interface.cpp +++ b/src/hdf5_interface.cpp @@ -225,8 +225,7 @@ void get_name(hid_t obj_id, std::string& name) { size_t size = 1 + H5Iget_name(obj_id, nullptr, 0); name.resize(size); - // TODO: switch to name.data() when using C++17 - H5Iget_name(obj_id, &name[0], size); + H5Iget_name(obj_id, name.data(), size); } int get_num_datasets(hid_t group_id) diff --git a/src/ifp.cpp b/src/ifp.cpp index 1f81f26f6e..cc4a76538b 100644 --- a/src/ifp.cpp +++ b/src/ifp.cpp @@ -28,13 +28,13 @@ bool is_generation_time_or_both() return false; } -void ifp(const Particle& p, const SourceSite& site, int64_t idx) +void ifp(const Particle& p, int64_t idx) { if (is_beta_effective_or_both()) { const auto& delayed_groups = simulation::ifp_source_delayed_group_bank[p.current_work() - 1]; simulation::ifp_fission_delayed_group_bank[idx] = - _ifp(site.delayed_group, delayed_groups); + _ifp(p.delayed_group(), delayed_groups); } if (is_generation_time_or_both()) { const auto& lifetimes = diff --git a/src/initialize.cpp b/src/initialize.cpp index 2da78137d1..36f3261169 100644 --- a/src/initialize.cpp +++ b/src/initialize.cpp @@ -401,6 +401,10 @@ bool read_model_xml() // Finalize cross sections having assigned temperatures finalize_cross_sections(); + // Compute cell density multipliers now that material densities + // have been finalized (from geometry_aux.h) + finalize_cell_densities(); + if (check_for_node(root, "tallies")) read_tallies_xml(root.child("tallies")); @@ -441,6 +445,11 @@ void read_separate_xml_files() // Finalize cross sections having assigned temperatures finalize_cross_sections(); + + // Compute cell density multipliers now that material densities + // have been finalized (from geometry_aux.h) + finalize_cell_densities(); + read_tallies_xml(); // Initialize distribcell_filters diff --git a/src/material.cpp b/src/material.cpp index 32384ddf12..54caa38409 100644 --- a/src/material.cpp +++ b/src/material.cpp @@ -890,7 +890,7 @@ void Material::calculate_neutron_xs(Particle& p) const // ADD TO MACROSCOPIC CROSS SECTION // Copy atom density of nuclide in material - double atom_density = atom_density_(i); + double atom_density = this->atom_density(i, p.density_mult()); // Add contributions to cross sections p.macro_xs().total += atom_density * micro.total; @@ -925,7 +925,7 @@ void Material::calculate_photon_xs(Particle& p) const // ADD TO MACROSCOPIC CROSS SECTION // Copy atom density of nuclide in material - double atom_density = atom_density_(i); + double atom_density = this->atom_density(i, p.density_mult()); // Add contributions to material macroscopic cross sections p.macro_xs().total += atom_density * micro.total; diff --git a/src/mesh.cpp b/src/mesh.cpp index 3e4ff1a3ec..58d218b9ca 100644 --- a/src/mesh.cpp +++ b/src/mesh.cpp @@ -590,6 +590,8 @@ Position StructuredMesh::sample_element( UnstructuredMesh::UnstructuredMesh(pugi::xml_node node) : Mesh(node) { + n_dimension_ = 3; + // check the mesh type if (check_for_node(node, "type")) { auto temp = get_node_value(node, "type", true, true); @@ -2519,7 +2521,9 @@ MOABMesh::MOABMesh(pugi::xml_node node) : UnstructuredMesh(node) } MOABMesh::MOABMesh(const std::string& filename, double length_multiplier) + : UnstructuredMesh() { + n_dimension_ = 3; filename_ = filename; set_length_multiplier(length_multiplier); initialize(); @@ -3215,7 +3219,7 @@ void MOABMesh::write(const std::string& base_filename) const const std::string LibMesh::mesh_lib_type = "libmesh"; -LibMesh::LibMesh(pugi::xml_node node) : UnstructuredMesh(node), adaptive_(false) +LibMesh::LibMesh(pugi::xml_node node) : UnstructuredMesh(node) { // filename_ and length_multiplier_ will already be set by the // UnstructuredMesh constructor @@ -3226,7 +3230,6 @@ LibMesh::LibMesh(pugi::xml_node node) : UnstructuredMesh(node), adaptive_(false) // create the mesh from a pointer to a libMesh Mesh LibMesh::LibMesh(libMesh::MeshBase& input_mesh, double length_multiplier) - : adaptive_(input_mesh.n_active_elem() != input_mesh.n_elem()) { if (!dynamic_cast(&input_mesh)) { fatal_error("At present LibMesh tallies require a replicated mesh. Please " @@ -3240,8 +3243,8 @@ LibMesh::LibMesh(libMesh::MeshBase& input_mesh, double length_multiplier) // create the mesh from an input file LibMesh::LibMesh(const std::string& filename, double length_multiplier) - : adaptive_(false) { + n_dimension_ = 3; set_mesh_pointer_from_filename(filename); set_length_multiplier(length_multiplier); initialize(); @@ -3302,21 +3305,6 @@ void LibMesh::initialize() auto first_elem = *m_->elements_begin(); first_element_id_ = first_elem->id(); - // if the mesh is adaptive elements aren't guaranteed by libMesh to be - // contiguous in ID space, so we need to map from bin indices (defined over - // active elements) to global dof ids - if (adaptive_) { - bin_to_elem_map_.reserve(m_->n_active_elem()); - elem_to_bin_map_.resize(m_->n_elem(), -1); - for (auto it = m_->active_elements_begin(); it != m_->active_elements_end(); - it++) { - auto elem = *it; - - bin_to_elem_map_.push_back(elem->id()); - elem_to_bin_map_[elem->id()] = bin_to_elem_map_.size() - 1; - } - } - // bounding box for the mesh for quick rejection checks bbox_ = libMesh::MeshTools::create_bounding_box(*m_); libMesh::Point ll = bbox_.min(); @@ -3374,7 +3362,7 @@ std::string LibMesh::library() const int LibMesh::n_bins() const { - return m_->n_active_elem(); + return m_->n_elem(); } int LibMesh::n_surface_bins() const @@ -3397,14 +3385,6 @@ int LibMesh::n_surface_bins() const void LibMesh::add_score(const std::string& var_name) { - if (adaptive_) { - warning(fmt::format( - "Exodus output cannot be provided as unstructured mesh {} is adaptive.", - this->id_)); - - return; - } - if (!equation_systems_) { build_eqn_sys(); } @@ -3440,14 +3420,6 @@ void LibMesh::remove_scores() void LibMesh::set_score_data(const std::string& var_name, const vector& values, const vector& std_dev) { - if (adaptive_) { - warning(fmt::format( - "Exodus output cannot be provided as unstructured mesh {} is adaptive.", - this->id_)); - - return; - } - if (!equation_systems_) { build_eqn_sys(); } @@ -3491,14 +3463,6 @@ void LibMesh::set_score_data(const std::string& var_name, void LibMesh::write(const std::string& filename) const { - if (adaptive_) { - warning(fmt::format( - "Exodus output cannot be provided as unstructured mesh {} is adaptive.", - this->id_)); - - return; - } - write_message(fmt::format( "Writing file: {}.e for unstructured mesh {}", filename, this->id_)); libMesh::ExodusII_IO exo(*m_); @@ -3532,8 +3496,7 @@ int LibMesh::get_bin(Position r) const int LibMesh::get_bin_from_element(const libMesh::Elem* elem) const { - int bin = - adaptive_ ? elem_to_bin_map_[elem->id()] : elem->id() - first_element_id_; + int bin = elem->id() - first_element_id_; if (bin >= n_bins() || bin < 0) { fatal_error(fmt::format("Invalid bin: {}", bin)); } @@ -3548,7 +3511,7 @@ std::pair, vector> LibMesh::plot( const libMesh::Elem& LibMesh::get_element_from_bin(int bin) const { - return adaptive_ ? m_->elem_ref(bin_to_elem_map_.at(bin)) : m_->elem_ref(bin); + return m_->elem_ref(bin); } double LibMesh::volume(int bin) const @@ -3556,6 +3519,65 @@ double LibMesh::volume(int bin) const return this->get_element_from_bin(bin).volume(); } +AdaptiveLibMesh::AdaptiveLibMesh( + libMesh::MeshBase& input_mesh, double length_multiplier) + : LibMesh(input_mesh, length_multiplier), num_active_(m_->n_active_elem()) +{ + // if the mesh is adaptive elements aren't guaranteed by libMesh to be + // contiguous in ID space, so we need to map from bin indices (defined over + // active elements) to global dof ids + bin_to_elem_map_.reserve(num_active_); + elem_to_bin_map_.resize(m_->n_elem(), -1); + for (auto it = m_->active_elements_begin(); it != m_->active_elements_end(); + it++) { + auto elem = *it; + + bin_to_elem_map_.push_back(elem->id()); + elem_to_bin_map_[elem->id()] = bin_to_elem_map_.size() - 1; + } +} + +int AdaptiveLibMesh::n_bins() const +{ + return num_active_; +} + +void AdaptiveLibMesh::add_score(const std::string& var_name) +{ + warning(fmt::format( + "Exodus output cannot be provided as unstructured mesh {} is adaptive.", + this->id_)); +} + +void AdaptiveLibMesh::set_score_data(const std::string& var_name, + const vector& values, const vector& std_dev) +{ + warning(fmt::format( + "Exodus output cannot be provided as unstructured mesh {} is adaptive.", + this->id_)); +} + +void AdaptiveLibMesh::write(const std::string& filename) const +{ + warning(fmt::format( + "Exodus output cannot be provided as unstructured mesh {} is adaptive.", + this->id_)); +} + +int AdaptiveLibMesh::get_bin_from_element(const libMesh::Elem* elem) const +{ + int bin = elem_to_bin_map_[elem->id()]; + if (bin >= n_bins() || bin < 0) { + fatal_error(fmt::format("Invalid bin: {}", bin)); + } + return bin; +} + +const libMesh::Elem& AdaptiveLibMesh::get_element_from_bin(int bin) const +{ + return m_->elem_ref(bin_to_elem_map_.at(bin)); +} + #endif // OPENMC_LIBMESH_ENABLED //============================================================================== diff --git a/src/mgxs.cpp b/src/mgxs.cpp index a88d2c196b..a2c479f215 100644 --- a/src/mgxs.cpp +++ b/src/mgxs.cpp @@ -617,10 +617,12 @@ void Mgxs::calculate_xs(Particle& p) } int temperature = p.mg_xs_cache().t; int angle = p.mg_xs_cache().a; - p.macro_xs().total = xs[temperature].total(angle, p.g()); - p.macro_xs().absorption = xs[temperature].absorption(angle, p.g()); + p.macro_xs().total = xs[temperature].total(angle, p.g()) * p.density_mult(); + p.macro_xs().absorption = + xs[temperature].absorption(angle, p.g()) * p.density_mult(); p.macro_xs().nu_fission = - fissionable ? xs[temperature].nu_fission(angle, p.g()) : 0.; + fissionable ? xs[temperature].nu_fission(angle, p.g()) * p.density_mult() + : 0.; } //============================================================================== diff --git a/src/particle.cpp b/src/particle.cpp index 67cb144935..31b469adc1 100644 --- a/src/particle.cpp +++ b/src/particle.cpp @@ -144,6 +144,7 @@ void Particle::from_source(const SourceSite* src) time() = src->time; time_last() = src->time; parent_nuclide() = src->parent_nuclide; + delayed_group() = src->delayed_group; // Convert signed surface ID to signed index if (src->surf_id != SURFACE_NONE) { @@ -200,7 +201,8 @@ void Particle::event_calculate_xs() // Calculate microscopic and macroscopic cross sections if (material() != MATERIAL_VOID) { if (settings::run_CE) { - if (material() != material_last() || sqrtkT() != sqrtkT_last()) { + if (material() != material_last() || sqrtkT() != sqrtkT_last() || + density_mult() != density_mult_last()) { // If the material is the same as the last material and the // temperature hasn't changed, we don't need to lookup cross // sections again. @@ -252,6 +254,11 @@ void Particle::event_advance() this->time() += dt; this->lifetime() += dt; + // Score timed track-length tallies + if (!model::active_timed_tracklength_tallies.empty()) { + score_timed_tracklength_tally(*this, distance); + } + // Score track-length tallies if (!model::active_tracklength_tallies.empty()) { score_tracklength_tally(*this, distance); @@ -544,7 +551,8 @@ void Particle::cross_surface(const Surface& surf) #endif // Handle any applicable boundary conditions. - if (surf.bc_ && settings::run_mode != RunMode::PLOTTING) { + if (surf.bc_ && settings::run_mode != RunMode::PLOTTING && + settings::run_mode != RunMode::VOLUME) { surf.bc_->handle_particle(*this, surf); return; } @@ -558,9 +566,10 @@ void Particle::cross_surface(const Surface& surf) int32_t i_cell = next_cell(surface_index(), cell_last(n_coord() - 1), lowest_coord().universe()) - 1; - // save material and temp + // save material, temperature, and density multiplier material_last() = material(); sqrtkT_last() = sqrtkT(); + density_mult_last() = density_mult(); // set new cell value lowest_coord().cell() = i_cell; auto& cell = model::cells[i_cell]; @@ -571,6 +580,7 @@ void Particle::cross_surface(const Surface& surf) material() = cell->material(cell_instance()); sqrtkT() = cell->sqrtkT(cell_instance()); + density_mult() = cell->density_mult(cell_instance()); return; } #endif diff --git a/src/physics.cpp b/src/physics.cpp index 3c06e543de..e947fecbb9 100644 --- a/src/physics.cpp +++ b/src/physics.cpp @@ -115,7 +115,7 @@ void sample_neutron_reaction(Particle& p) // Make sure particle population doesn't grow out of control for // subcritical multiplication problems. - if (p.secondary_bank().size() >= 10000) { + if (p.secondary_bank().size() >= settings::max_secondaries) { fatal_error( "The secondary particle bank appears to be growing without " "bound. You are likely running a subcritical multiplication problem " @@ -210,13 +210,23 @@ void create_fission_sites(Particle& p, int i_nuclide, const Reaction& rx) site.particle = ParticleType::neutron; site.time = p.time(); site.wgt = 1. / weight; - site.parent_id = p.id(); - site.progeny_id = p.n_progeny()++; site.surf_id = 0; // Sample delayed group and angle/energy for fission reaction sample_fission_neutron(i_nuclide, rx, &site, p); + // Reject site if it exceeds time cutoff + if (site.delayed_group > 0) { + double t_cutoff = settings::time_cutoff[static_cast(site.particle)]; + if (site.time > t_cutoff) { + continue; + } + } + + // Set parent and progeny IDs + site.parent_id = p.id(); + site.progeny_id = p.n_progeny()++; + // Store fission site in bank if (use_fission_bank) { int64_t idx = simulation::fission_bank.thread_safe_append(site); @@ -236,18 +246,15 @@ void create_fission_sites(Particle& p, int i_nuclide, const Reaction& rx) } // Iterated Fission Probability (IFP) method if (settings::ifp_on) { - ifp(p, site, idx); + ifp(p, idx); } } else { p.secondary_bank().push_back(site); } - // Set the delayed group on the particle as well - p.delayed_group() = site.delayed_group; - // Increment the number of neutrons born delayed - if (p.delayed_group() > 0) { - nu_d[p.delayed_group() - 1]++; + if (site.delayed_group > 0) { + nu_d[site.delayed_group - 1]++; } // Write fission particles to nuBank @@ -496,7 +503,7 @@ int sample_nuclide(Particle& p) for (int i = 0; i < n; ++i) { // Get atom density int i_nuclide = mat->nuclide_[i]; - double atom_density = mat->atom_density_[i]; + double atom_density = mat->atom_density(i, p.density_mult()); // Increment probability to compare to cutoff prob += atom_density * p.neutron_xs(i_nuclide).total; @@ -521,7 +528,7 @@ int sample_element(Particle& p) for (int i = 0; i < mat->element_.size(); ++i) { // Find atom density int i_element = mat->element_[i]; - double atom_density = mat->atom_density_[i]; + double atom_density = mat->atom_density(i, p.density_mult()); // Determine microscopic cross section double sigma = atom_density * p.photon_xs(i_element).total; @@ -1069,6 +1076,10 @@ void sample_fission_neutron( // set the delayed group for the particle born from fission site->delayed_group = group; + // Sample time of emission based on decay constant of precursor + double decay_rate = rx.products_[site->delayed_group].decay_rate_; + site->time -= std::log(prn(p.current_seed())) / decay_rate; + } else { // ==================================================================== // PROMPT NEUTRON SAMPLED diff --git a/src/physics_mg.cpp b/src/physics_mg.cpp index 5ebef9c141..4c28cb1795 100644 --- a/src/physics_mg.cpp +++ b/src/physics_mg.cpp @@ -139,8 +139,6 @@ void create_fission_sites(Particle& p) site.particle = ParticleType::neutron; site.time = p.time(); site.wgt = 1. / weight; - site.parent_id = p.id(); - site.progeny_id = p.n_progeny()++; // Sample the cosine of the angle, assuming fission neutrons are emitted // isotropically @@ -165,6 +163,24 @@ void create_fission_sites(Particle& p) // of the code, 0 is prompt. site.delayed_group = dg + 1; + // If delayed product production, sample time of emission + if (dg != -1) { + auto& macro_xs = data::mg.macro_xs_[p.material()]; + double decay_rate = + macro_xs.get_xs(MgxsType::DECAY_RATE, 0, nullptr, nullptr, &dg, 0, 0); + site.time -= std::log(prn(p.current_seed())) / decay_rate; + + // Reject site if it exceeds time cutoff + double t_cutoff = settings::time_cutoff[static_cast(site.particle)]; + if (site.time > t_cutoff) { + continue; + } + } + + // Set parent and progeny ID + site.parent_id = p.id(); + site.progeny_id = p.n_progeny()++; + // Store fission site in bank if (use_fission_bank) { int64_t idx = simulation::fission_bank.thread_safe_append(site); diff --git a/src/settings.cpp b/src/settings.cpp index afa42a3c5e..03d42bb9da 100644 --- a/src/settings.cpp +++ b/src/settings.cpp @@ -114,6 +114,7 @@ int max_order {0}; int n_log_bins {8000}; int n_batches; int n_max_batches; +int max_secondaries {10000}; int max_history_splits {10'000'000}; int max_tracks {1000}; ResScatMethod res_scat_method {ResScatMethod::rvs}; @@ -1144,6 +1145,11 @@ void read_settings_xml(pugi::xml_node root) weight_windows_on = get_node_value_bool(root, "weight_windows_on"); } + if (check_for_node(root, "max_secondaries")) { + settings::max_secondaries = + std::stoi(get_node_value(root, "max_secondaries")); + } + if (check_for_node(root, "max_history_splits")) { settings::max_history_splits = std::stoi(get_node_value(root, "max_history_splits")); diff --git a/src/tallies/tally.cpp b/src/tallies/tally.cpp index ba18386026..b9c615ecb5 100644 --- a/src/tallies/tally.cpp +++ b/src/tallies/tally.cpp @@ -27,10 +27,12 @@ #include "openmc/tallies/filter_legendre.h" #include "openmc/tallies/filter_mesh.h" #include "openmc/tallies/filter_meshborn.h" +#include "openmc/tallies/filter_meshmaterial.h" #include "openmc/tallies/filter_meshsurface.h" #include "openmc/tallies/filter_particle.h" #include "openmc/tallies/filter_sph_harm.h" #include "openmc/tallies/filter_surface.h" +#include "openmc/tallies/filter_time.h" #include "openmc/xml_interface.h" #include "xtensor/xadapt.hpp" @@ -38,9 +40,10 @@ #include "xtensor/xview.hpp" #include -#include // for max +#include // for max, set_union #include -#include // for size_t +#include // for size_t +#include // for back_inserter #include namespace openmc { @@ -56,11 +59,13 @@ vector> tallies; vector active_tallies; vector active_analog_tallies; vector active_tracklength_tallies; +vector active_timed_tracklength_tallies; vector active_collision_tallies; vector active_meshsurf_tallies; vector active_surface_tallies; vector active_pulse_height_tallies; vector pulse_height_cells; +vector time_grid; } // namespace model namespace simulation { @@ -243,8 +248,8 @@ Tally::Tally(pugi::xml_node node) for (int score : scores_) { switch (score) { case SCORE_PULSE_HEIGHT: - fatal_error( - "For pulse-height tallies, photon transport needs to be activated."); + fatal_error("For pulse-height tallies, photon transport needs to be " + "activated."); break; } } @@ -318,7 +323,8 @@ Tally::Tally(pugi::xml_node node) if (has_energyout && i_nuc == -1) { fatal_error(fmt::format( "Error on tally {}: Cannot use a " - "'nuclide_density' or 'temperature' derivative on a tally with an " + "'nuclide_density' or 'temperature' derivative on a tally with " + "an " "outgoing energy filter and 'total' nuclide rate. Instead, tally " "each nuclide in the material individually.", id_)); @@ -493,9 +499,9 @@ void Tally::add_filter(Filter* filter) void Tally::set_strides() { - // Set the strides. Filters are traversed in reverse so that the last filter - // has the shortest stride in memory and the first filter has the longest - // stride. + // Set the strides. Filters are traversed in reverse so that the last + // filter has the shortest stride in memory and the first filter has the + // longest stride. auto n = filters_.size(); strides_.resize(n, 0); int stride = 1; @@ -551,9 +557,11 @@ void Tally::set_scores(const vector& scores) // Iterate over the given scores. for (auto score_str : scores) { - // Make sure a delayed group filter wasn't used with an incompatible score. + // Make sure a delayed group filter wasn't used with an incompatible + // score. if (delayedgroup_filter_ != C_NONE) { - if (score_str != "delayed-nu-fission" && score_str != "decay-rate") + if (score_str != "delayed-nu-fission" && score_str != "decay-rate" && + score_str != "ifp-beta-numerator") fatal_error("Cannot tally " + score_str + "with a delayedgroup filter"); } @@ -984,8 +992,8 @@ void reduce_tally_results() } } - // Note that global tallies are *always* reduced even when no_reduce option is - // on. + // Note that global tallies are *always* reduced even when no_reduce option + // is on. // Get view of global tally values auto& gt = simulation::global_tallies; @@ -1064,21 +1072,59 @@ void accumulate_tallies() } } +double distance_to_time_boundary(double time, double speed) +{ + if (model::time_grid.empty()) { + return INFTY; + } else if (time >= model::time_grid.back()) { + return INFTY; + } else { + double next_time = + *std::upper_bound(model::time_grid.begin(), model::time_grid.end(), time); + return (next_time - time) * speed; + } +} + +//! Add new points to the global time grid +// +//! \param grid Vector of new time points to add +void add_to_time_grid(vector grid) +{ + if (grid.empty()) + return; + + // Create new vector with enough space to hold old and new grid points + vector merged; + merged.reserve(model::time_grid.size() + grid.size()); + + // Merge and remove duplicates + std::set_union(model::time_grid.begin(), model::time_grid.end(), grid.begin(), + grid.end(), std::back_inserter(merged)); + + // Swap in the new grid + model::time_grid.swap(merged); +} + void setup_active_tallies() { model::active_tallies.clear(); model::active_analog_tallies.clear(); model::active_tracklength_tallies.clear(); + model::active_timed_tracklength_tallies.clear(); model::active_collision_tallies.clear(); model::active_meshsurf_tallies.clear(); model::active_surface_tallies.clear(); model::active_pulse_height_tallies.clear(); + model::time_grid.clear(); for (auto i = 0; i < model::tallies.size(); ++i) { const auto& tally {*model::tallies[i]}; if (tally.active_) { model::active_tallies.push_back(i); + bool mesh_present = (tally.get_filter() || + tally.get_filter()); + auto time_filter = tally.get_filter(); switch (tally.type_) { case TallyType::VOLUME: @@ -1087,7 +1133,12 @@ void setup_active_tallies() model::active_analog_tallies.push_back(i); break; case TallyEstimator::TRACKLENGTH: - model::active_tracklength_tallies.push_back(i); + if (time_filter && mesh_present) { + model::active_timed_tracklength_tallies.push_back(i); + add_to_time_grid(time_filter->bins()); + } else { + model::active_tracklength_tallies.push_back(i); + } break; case TallyEstimator::COLLISION: model::active_collision_tallies.push_back(i); @@ -1123,10 +1174,12 @@ void free_memory_tally() model::active_tallies.clear(); model::active_analog_tallies.clear(); model::active_tracklength_tallies.clear(); + model::active_timed_tracklength_tallies.clear(); model::active_collision_tallies.clear(); model::active_meshsurf_tallies.clear(); model::active_surface_tallies.clear(); model::active_pulse_height_tallies.clear(); + model::time_grid.clear(); model::tally_map.clear(); } @@ -1465,8 +1518,8 @@ extern "C" int openmc_tally_get_n_realizations(int32_t index, int32_t* n) return 0; } -//! \brief Returns a pointer to a tally results array along with its shape. This -//! allows a user to obtain in-memory tally results from Python directly. +//! \brief Returns a pointer to a tally results array along with its shape. +//! This allows a user to obtain in-memory tally results from Python directly. extern "C" int openmc_tally_results( int32_t index, double** results, size_t* shape) { diff --git a/src/tallies/tally_scoring.cpp b/src/tallies/tally_scoring.cpp index e73fb90f31..67e851644a 100644 --- a/src/tallies/tally_scoring.cpp +++ b/src/tallies/tally_scoring.cpp @@ -233,7 +233,7 @@ double score_fission_q(const Particle& p, int score_bin, const Tally& tally, double score {0.0}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); const Nuclide& nuc {*data::nuclides[j_nuclide]}; score += get_nuc_fission_q(nuc, p, score_bin) * atom_density * p.neutron_xs(j_nuclide).fission; @@ -696,7 +696,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); score += p.neutron_xs(j_nuclide).fission * data::nuclides[j_nuclide]->nu( E, ReactionProduct::EmissionMode::prompt) * @@ -743,7 +743,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); // Tally each delayed group bin individually for (auto d_bin = 0; d_bin < filt.n_bins(); ++d_bin) { auto d = filt.groups()[d_bin]; @@ -763,7 +763,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); score += p.neutron_xs(j_nuclide).fission * data::nuclides[j_nuclide]->nu( E, ReactionProduct::EmissionMode::delayed) * @@ -824,7 +824,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); const auto& nuc {*data::nuclides[j_nuclide]}; if (nuc.fissionable_) { const auto& rxn {*nuc.fission_rx_[0]}; @@ -849,7 +849,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); const auto& nuc {*data::nuclides[j_nuclide]}; if (nuc.fissionable_) { const auto& rxn {*nuc.fission_rx_[0]}; @@ -893,7 +893,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); const auto& nuc {*data::nuclides[j_nuclide]}; if (nuc.fissionable_) { const auto& rxn {*nuc.fission_rx_[0]}; @@ -924,7 +924,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); if (p.neutron_xs(j_nuclide).elastic == CACHE_INVALID) data::nuclides[j_nuclide]->calculate_elastic_xs(p); score += p.neutron_xs(j_nuclide).elastic * atom_density * flux; @@ -964,6 +964,15 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, if (delayed_groups.size() == settings::ifp_n_generation) { if (delayed_groups[0] > 0) { score = p.wgt_last(); + if (tally.delayedgroup_filter_ != C_NONE) { + auto i_dg_filt = tally.filters()[tally.delayedgroup_filter_]; + const DelayedGroupFilter& filt { + *dynamic_cast( + model::tally_filters[i_dg_filt].get())}; + score_fission_delayed_dg(i_tally, delayed_groups[0] - 1, + score, score_index, p.filter_matches()); + continue; + } } } } @@ -1025,7 +1034,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); score += p.neutron_xs(j_nuclide).reaction[m] * atom_density * flux; } } @@ -1079,7 +1088,7 @@ void score_general_ce_nonanalog(Particle& p, int i_tally, int start_index, const Material& material {*model::materials[p.material()]}; for (auto i = 0; i < material.nuclide_.size(); ++i) { auto j_nuclide = material.nuclide_[i]; - auto atom_density = material.atom_density_(i); + auto atom_density = material.atom_density(i, p.density_mult()); score += get_nuclide_xs(p, j_nuclide, score_bin) * atom_density * flux; } @@ -1624,8 +1633,7 @@ void score_general_mg(Particle& p, int i_tally, int start_index, tally.estimator_ == TallyEstimator::COLLISION) { if (settings::survival_biasing) { // Determine weight that was absorbed - wgt_absorb = p.wgt_last() * p.neutron_xs(p.event_nuclide()).absorption / - p.neutron_xs(p.event_nuclide()).total; + wgt_absorb = p.wgt_last() * p.macro_xs().absorption / p.macro_xs().total; // Then we either are alive and had a scatter (and so g changed), // or are dead and g did not change @@ -2383,7 +2391,8 @@ void score_analog_tally_mg(Particle& p) model::materials[p.material()]->mat_nuclide_index_[i_nuclide]; if (j == C_NONE) continue; - atom_density = model::materials[p.material()]->atom_density_(j); + atom_density = + model::materials[p.material()]->atom_density(j, p.density_mult()); } score_general_mg(p, i_tally, i * tally.scores_.size(), filter_index, @@ -2404,15 +2413,13 @@ void score_analog_tally_mg(Particle& p) match.bins_present_ = false; } -void score_tracklength_tally(Particle& p, double distance) +void score_tracklength_tally_general( + Particle& p, double flux, const vector& tallies) { - // Determine the tracklength estimate of the flux - double flux = p.wgt() * distance; - // Set 'none' value for log union grid index int i_log_union = C_NONE; - for (auto i_tally : model::active_tracklength_tallies) { + for (auto i_tally : tallies) { const Tally& tally {*model::tallies[i_tally]}; // Initialize an iterator over valid filter bin combinations. If there are @@ -2451,8 +2458,9 @@ void score_tracklength_tally(Particle& p, double distance) atom_density = 1.0; } } else { - atom_density = - tally.multiply_density() ? mat->atom_density_(j) : 1.0; + atom_density = tally.multiply_density() + ? mat->atom_density(j, p.density_mult()) + : 1.0; } } } @@ -2481,6 +2489,57 @@ void score_tracklength_tally(Particle& p, double distance) match.bins_present_ = false; } +void score_timed_tracklength_tally(Particle& p, double total_distance) +{ + double speed = p.speed(); + double total_dt = total_distance / speed; + + // save particle last state + auto time_last = p.time_last(); + auto r_last = p.r_last(); + + // move particle back + p.move_distance(-total_distance); + p.time() -= total_dt; + p.lifetime() -= total_dt; + + double distance_traveled = 0.0; + while (distance_traveled < total_distance) { + + double distance = std::min(distance_to_time_boundary(p.time(), speed), + total_distance - distance_traveled); + double dt = distance / speed; + + // Save particle last state for tracklength tallies + p.time_last() = p.time(); + p.r_last() = p.r(); + + // Advance particle in space and time + p.move_distance(distance); + p.time() += dt; + p.lifetime() += dt; + + // Determine the tracklength estimate of the flux + double flux = p.wgt() * distance; + + score_tracklength_tally_general( + p, flux, model::active_timed_tracklength_tallies); + distance_traveled += distance; + } + + p.time_last() = time_last; + p.r_last() = r_last; +} + +void score_tracklength_tally(Particle& p, double distance) +{ + + // Determine the tracklength estimate of the flux + double flux = p.wgt() * distance; + + score_tracklength_tally_general(p, flux, model::active_tracklength_tallies); +} + void score_collision_tally(Particle& p) { // Determine the collision estimate of the flux @@ -2530,8 +2589,9 @@ void score_collision_tally(Particle& p) atom_density = 1.0; } } else { - atom_density = - tally.multiply_density() ? mat->atom_density_(j) : 1.0; + atom_density = tally.multiply_density() + ? mat->atom_density(j, p.density_mult()) + : 1.0; } } diff --git a/tests/regression_tests/adj_cell_rotation/results_true.dat b/tests/regression_tests/adj_cell_rotation/results_true.dat index b3df12e71f..ddb1546b5b 100644 --- a/tests/regression_tests/adj_cell_rotation/results_true.dat +++ b/tests/regression_tests/adj_cell_rotation/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.403987E-01 1.514158E-03 +4.368327E-01 1.953533E-03 diff --git a/tests/regression_tests/albedo_box/results_true.dat b/tests/regression_tests/albedo_box/results_true.dat index 0f571f2459..dca80abcd8 100644 --- a/tests/regression_tests/albedo_box/results_true.dat +++ b/tests/regression_tests/albedo_box/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.590800E+00 4.251788E-03 +1.593206E+00 2.925742E-03 diff --git a/tests/regression_tests/asymmetric_lattice/results_true.dat b/tests/regression_tests/asymmetric_lattice/results_true.dat index 741327d80b..3d6b610a69 100644 --- a/tests/regression_tests/asymmetric_lattice/results_true.dat +++ b/tests/regression_tests/asymmetric_lattice/results_true.dat @@ -1 +1 @@ -b0ca1fb0436732188b1a199b3250ca9a33782f8fc379b0f7ff9c582e0c794b0a0470df063cafd0b05e802b26f61eaaf9ff5c0a8a672a933246acf49eed3ebf9f \ No newline at end of file +cc76769636be4f681137598cf366e978d7347425a1dfa1b293d17a28381b2b62595fb7f0d2f126dd06972ff9e79089a18dd53aba45fa2b1f316515b91fe6495a \ No newline at end of file diff --git a/tests/regression_tests/cmfd_feed/results_true.dat b/tests/regression_tests/cmfd_feed/results_true.dat index f5f22d9acd..1ef9624d4c 100644 --- a/tests/regression_tests/cmfd_feed/results_true.dat +++ b/tests/regression_tests/cmfd_feed/results_true.dat @@ -1,117 +1,117 @@ k-combined: -1.164262E+00 9.207592E-03 +1.181723E+00 9.944883E-03 tally 1: -1.156972E+01 -1.339924E+01 -2.136306E+01 -4.567185E+01 -2.859527E+01 -8.195821E+01 -3.470754E+01 -1.207851E+02 -3.766403E+01 -1.422263E+02 -3.778821E+01 -1.432660E+02 -3.573197E+01 -1.278854E+02 -2.849979E+01 -8.135515E+01 -2.073803E+01 -4.303374E+01 -1.112117E+01 -1.242944E+01 +1.169899E+01 +1.373251E+01 +2.142380E+01 +4.605511E+01 +2.968085E+01 +8.838716E+01 +3.561418E+01 +1.271206E+02 +3.777783E+01 +1.428817E+02 +3.805832E+01 +1.450213E+02 +3.439836E+01 +1.184892E+02 +2.852438E+01 +8.161896E+01 +2.088423E+01 +4.376204E+01 +1.076670E+01 +1.168108E+01 tally 2: -2.388054E+01 -2.875255E+01 -1.667791E+01 -1.403426E+01 -4.224771E+01 -8.942109E+01 -2.993088E+01 -4.490335E+01 -5.689839E+01 -1.625557E+02 -4.043633E+01 -8.212299E+01 -6.764024E+01 -2.297126E+02 -4.807902E+01 -1.161468E+02 -7.314835E+01 -2.684645E+02 -5.203584E+01 -1.359261E+02 -7.375727E+01 -2.733105E+02 -5.252944E+01 -1.386205E+02 -6.909571E+01 -2.397721E+02 -4.922548E+01 -1.217465E+02 -5.685978E+01 -1.621746E+02 -4.051938E+01 -8.237277E+01 -4.185562E+01 -8.784067E+01 -2.983570E+01 -4.467414E+01 -2.238373E+01 -2.520356E+01 -1.566758E+01 -1.234103E+01 +2.321241E+01 +2.702156E+01 +1.620912E+01 +1.317752E+01 +4.197404E+01 +8.845008E+01 +2.982666E+01 +4.469221E+01 +5.810089E+01 +1.695857E+02 +4.134123E+01 +8.588866E+01 +6.982488E+01 +2.447068E+02 +4.966939E+01 +1.238763E+02 +7.428421E+01 +2.767613E+02 +5.287955E+01 +1.403163E+02 +7.447402E+01 +2.785012E+02 +5.324628E+01 +1.423393E+02 +6.895164E+01 +2.381937E+02 +4.916366E+01 +1.211701E+02 +5.679253E+01 +1.617881E+02 +4.043125E+01 +8.204061E+01 +4.218618E+01 +8.933666E+01 +2.978592E+01 +4.456592E+01 +2.196426E+01 +2.435867E+01 +1.525576E+01 +1.175879E+01 tally 3: -1.609520E+01 -1.307542E+01 -1.033429E+00 -5.510889E-02 -2.877073E+01 -4.149542E+01 -1.964219E+00 -1.954692E-01 -3.896816E+01 -7.629752E+01 -2.484053E+00 -3.103733E-01 -4.634285E+01 -1.079367E+02 -2.974750E+00 -4.468223E-01 -5.007964E+01 -1.259202E+02 -3.181802E+00 -5.103621E-01 -5.058915E+01 -1.286193E+02 -3.249442E+00 -5.337712E-01 -4.744464E+01 -1.131026E+02 -3.067644E+00 -4.736335E-01 -3.900632E+01 -7.634433E+01 -2.443552E+00 -3.028060E-01 -2.874166E+01 -4.146375E+01 -1.810421E+00 -1.671667E-01 -1.509222E+01 -1.145579E+01 -1.014919E+00 -5.391053E-02 +1.563788E+01 +1.226528E+01 +1.053289E+00 +5.666942E-02 +2.870755E+01 +4.139654E+01 +1.838017E+00 +1.710528E-01 +3.978616E+01 +7.955764E+01 +2.560657E+00 +3.334449E-01 +4.780385E+01 +1.147770E+02 +3.139243E+00 +4.967628E-01 +5.106650E+01 +1.308704E+02 +3.170056E+00 +5.078920E-01 +5.123992E+01 +1.318586E+02 +3.211706E+00 +5.205979E-01 +4.729862E+01 +1.121695E+02 +3.068662E+00 +4.749488E-01 +3.898816E+01 +7.630564E+01 +2.516911E+00 +3.199696E-01 +2.865357E+01 +4.125742E+01 +1.852314E+00 +1.741116E-01 +1.467340E+01 +1.088460E+01 +9.268633E-01 +4.450662E-02 tally 4: -3.148231E+00 -4.974555E-01 +3.029754E+00 +4.613561E-01 0.000000E+00 0.000000E+00 -2.805439E+00 -3.982239E-01 -5.574031E+00 -1.561105E+00 +2.832501E+00 +4.049252E-01 +5.517243E+00 +1.527794E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -128,14 +128,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.574031E+00 -1.561105E+00 -2.805439E+00 -3.982239E-01 -5.171038E+00 -1.344877E+00 -7.372031E+00 -2.725420E+00 +5.517243E+00 +1.527794E+00 +2.832501E+00 +4.049252E-01 +5.117178E+00 +1.316972E+00 +7.333303E+00 +2.701677E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -152,14 +152,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.372031E+00 -2.725420E+00 -5.171038E+00 -1.344877E+00 -6.946847E+00 -2.424850E+00 -8.496610E+00 -3.627542E+00 +7.333303E+00 +2.701677E+00 +5.117178E+00 +1.316972E+00 +7.248464E+00 +2.641591E+00 +8.817788E+00 +3.905530E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -176,14 +176,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.496610E+00 -3.627542E+00 -6.946847E+00 -2.424850E+00 -8.479501E+00 -3.607280E+00 -9.261869E+00 -4.305912E+00 +8.817788E+00 +3.905530E+00 +7.248464E+00 +2.641591E+00 +8.646465E+00 +3.749847E+00 +9.460948E+00 +4.495388E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -200,14 +200,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.261869E+00 -4.305912E+00 -8.479501E+00 -3.607280E+00 -9.232858E+00 -4.278432E+00 -9.306384E+00 -4.348594E+00 +9.460948E+00 +4.495388E+00 +8.646465E+00 +3.749847E+00 +9.379341E+00 +4.415049E+00 +9.278640E+00 +4.320720E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -224,14 +224,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.306384E+00 -4.348594E+00 -9.232858E+00 -4.278432E+00 -9.299764E+00 -4.347828E+00 -8.511976E+00 -3.639893E+00 +9.278640E+00 +4.320720E+00 +9.379341E+00 +4.415049E+00 +9.465746E+00 +4.498591E+00 +8.656146E+00 +3.760545E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -248,14 +248,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.511976E+00 -3.639893E+00 -9.299764E+00 -4.347828E+00 -8.726086E+00 -3.819567E+00 -7.147277E+00 -2.562747E+00 +8.656146E+00 +3.760545E+00 +9.465746E+00 +4.498591E+00 +8.589782E+00 +3.700308E+00 +6.996002E+00 +2.456935E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -272,14 +272,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.147277E+00 -2.562747E+00 -8.726086E+00 -3.819567E+00 -7.218790E+00 -2.612243E+00 -5.018287E+00 -1.263077E+00 +6.996002E+00 +2.456935E+00 +8.589782E+00 +3.700308E+00 +7.352050E+00 +2.714808E+00 +5.105164E+00 +1.312559E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -296,14 +296,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.018287E+00 -1.263077E+00 -7.218790E+00 -2.612243E+00 -5.443494E+00 -1.487018E+00 -2.732334E+00 -3.773047E-01 +5.105164E+00 +1.312559E+00 +7.352050E+00 +2.714808E+00 +5.442756E+00 +1.486776E+00 +2.697305E+00 +3.675580E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -320,12 +320,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.732334E+00 -3.773047E-01 -5.443494E+00 -1.487018E+00 -3.044773E+00 -4.655756E-01 +2.697305E+00 +3.675580E-01 +5.442756E+00 +1.486776E+00 +3.017025E+00 +4.571443E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -345,144 +345,144 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -1.609029E+01 -1.306718E+01 -2.230601E+00 -2.559496E-01 -2.876780E+01 -4.148686E+01 -3.835952E+00 -7.456562E-01 -3.895738E+01 -7.625344E+01 -4.841024E+00 -1.197335E+00 -4.633595E+01 -1.079043E+02 -6.236821E+00 -1.963311E+00 -5.007472E+01 -1.258967E+02 -6.749745E+00 -2.297130E+00 -5.058336E+01 -1.285894E+02 -6.727612E+00 -2.315656E+00 -4.743869E+01 -1.130735E+02 -6.338193E+00 -2.042159E+00 -3.899838E+01 -7.631289E+01 -5.187573E+00 -1.359733E+00 -2.873434E+01 -4.144233E+01 -3.815610E+00 -7.367619E-01 -1.509020E+01 -1.145268E+01 -2.125767E+00 -2.341894E-01 +1.563588E+01 +1.226217E+01 +2.209027E+00 +2.507131E-01 +2.870034E+01 +4.137550E+01 +3.726620E+00 +7.021948E-01 +3.977762E+01 +7.952285E+01 +5.304975E+00 +1.427333E+00 +4.779747E+01 +1.147456E+02 +6.528302E+00 +2.151715E+00 +5.105366E+01 +1.308037E+02 +6.986782E+00 +2.467487E+00 +5.123380E+01 +1.318264E+02 +6.845633E+00 +2.383542E+00 +4.729296E+01 +1.121433E+02 +6.252695E+00 +1.977351E+00 +3.898236E+01 +7.628315E+01 +5.461495E+00 +1.528579E+00 +2.864576E+01 +4.123538E+01 +3.857301E+00 +7.581323E-01 +1.467047E+01 +1.088031E+01 +2.277024E+00 +2.679801E-01 cmfd indices 1.000000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.129918E+00 -1.143848E+00 -1.147976E+00 -1.151534E+00 -1.152378E+00 -1.148219E+00 -1.150402E+00 -1.154647E+00 -1.156159E+00 -1.160048E+00 -1.167441E+00 -1.168163E+00 -1.168629E+00 -1.164120E+00 -1.165051E+00 -1.169177E+00 +1.169107E+00 +1.175079E+00 +1.173912E+00 +1.175368E+00 +1.174026E+00 +1.181745E+00 +1.182261E+00 +1.183559E+00 +1.178691E+00 +1.179222E+00 +1.179017E+00 +1.172979E+00 +1.175043E+00 +1.173458E+00 +1.174152E+00 +1.171451E+00 cmfd entropy -3.224769E+00 -3.225945E+00 -3.227421E+00 -3.226174E+00 -3.224429E+00 -3.227049E+00 -3.230710E+00 -3.230315E+00 -3.226825E+00 -3.226655E+00 -3.226588E+00 -3.224155E+00 -3.223246E+00 -3.222640E+00 -3.223920E+00 -3.222838E+00 +3.207640E+00 +3.210547E+00 +3.212218E+00 +3.209573E+00 +3.211619E+00 +3.212126E+00 +3.213163E+00 +3.214288E+00 +3.215737E+00 +3.213677E+00 +3.214925E+00 +3.215612E+00 +3.216708E+00 +3.221454E+00 +3.219048E+00 +3.218387E+00 cmfd balance -3.90454E-03 -4.08089E-03 -3.46511E-03 -4.09535E-03 -2.62009E-03 -2.23559E-03 -2.54033E-03 -2.12799E-03 -2.25864E-03 -1.85766E-03 -1.49916E-03 -1.63471E-03 -1.48377E-03 -1.59800E-03 -1.37354E-03 -1.32853E-03 +4.88208E-03 +4.75139E-03 +3.15783E-03 +3.67091E-03 +2.99797E-03 +2.91060E-03 +2.06576E-03 +1.83482E-03 +1.56292E-03 +1.58659E-03 +2.32986E-03 +1.47376E-03 +1.46673E-03 +1.22627E-03 +1.31963E-03 +1.26456E-03 cmfd dominance ratio -5.539E-01 -5.537E-01 -5.536E-01 -5.515E-01 -5.512E-01 -5.514E-01 -5.518E-01 -5.507E-01 -5.500E-01 -5.497E-01 -5.477E-01 -5.461E-01 -5.444E-01 -5.445E-01 -5.454E-01 +5.467E-01 +5.453E-01 +5.458E-01 +5.436E-01 +5.442E-01 +5.406E-01 +5.401E-01 +5.413E-01 +4.995E-01 +5.396E-01 +5.409E-01 +5.414E-01 +5.423E-01 +5.456E-01 +5.442E-01 5.441E-01 cmfd openmc source comparison -9.875240E-03 -1.106163E-02 -9.847628E-03 -6.065921E-03 -5.772039E-03 -4.615656E-03 -4.244331E-03 -3.694299E-03 -3.545814E-03 -3.213063E-03 -3.467537E-03 -3.383489E-03 -3.697591E-03 -3.937358E-03 -3.369124E-03 -3.190359E-03 +9.587418E-03 +8.150978E-03 +6.677661E-03 +6.334727E-03 +5.153692E-03 +5.082964E-03 +4.633153E-03 +4.037383E-03 +3.528742E-03 +4.559089E-03 +3.517370E-03 +3.306117E-03 +2.913809E-03 +1.906045E-03 +1.932794E-03 +1.711341E-03 cmfd source -4.360494E-02 -8.397599E-02 -1.074181E-01 -1.294531E-01 -1.385611E-01 -1.407934E-01 -1.325191E-01 -1.044311E-01 -7.660359E-02 -4.263941E-02 +4.496492E-02 +7.869674E-02 +1.100280E-01 +1.354045E-01 +1.363339E-01 +1.380533E-01 +1.314512E-01 +1.077480E-01 +7.847306E-02 +3.884630E-02 diff --git a/tests/regression_tests/cmfd_feed_2g/results_true.dat b/tests/regression_tests/cmfd_feed_2g/results_true.dat index 2b61d9f4e8..e66eae13c4 100644 --- a/tests/regression_tests/cmfd_feed_2g/results_true.dat +++ b/tests/regression_tests/cmfd_feed_2g/results_true.dat @@ -1,112 +1,112 @@ k-combined: -1.035567E+00 9.463160E-03 +1.027434E+00 6.509170E-03 tally 1: -1.146535E+02 -1.315267E+03 -1.157458E+02 -1.340166E+03 -1.140491E+02 -1.301364E+03 -1.146589E+02 -1.315433E+03 +1.162758E+02 +1.352562E+03 +1.138125E+02 +1.295815E+03 +1.143712E+02 +1.308316E+03 +1.150293E+02 +1.323834E+03 tally 2: -4.319968E+01 -9.360083E+01 -6.373035E+01 -2.038056E+02 -1.889646E+02 -1.812892E+03 -1.024866E+02 -5.254528E+02 -4.323262E+01 -9.360200E+01 -6.363111E+01 -2.028178E+02 -1.849746E+02 -1.711533E+03 -1.034532E+02 -5.352768E+02 -4.296541E+01 -9.249656E+01 -6.346919E+01 -2.018659E+02 -1.888697E+02 -1.812037E+03 -1.025707E+02 -5.262261E+02 -4.691085E+01 -1.269707E+02 -6.299377E+01 -1.990497E+02 -1.853864E+02 -1.719984E+03 -1.023015E+02 -5.235858E+02 +4.284580E+01 +9.207089E+01 +6.335165E+01 +2.014931E+02 +1.894187E+02 +1.818190E+03 +1.033212E+02 +5.340768E+02 +4.282771E+01 +9.186295E+01 +6.295029E+01 +1.983895E+02 +1.834276E+02 +1.684375E+03 +1.022482E+02 +5.228403E+02 +4.330690E+01 +9.402038E+01 +6.395965E+01 +2.053163E+02 +1.851113E+02 +1.714198E+03 +1.030809E+02 +5.314535E+02 +4.337097E+01 +9.426435E+01 +6.417590E+01 +2.063443E+02 +1.846817E+02 +1.706518E+03 +1.027233E+02 +5.279582E+02 tally 3: -6.034963E+01 -1.827718E+02 +5.992726E+01 +1.803120E+02 0.000000E+00 0.000000E+00 -1.865665E-02 -4.244195E-05 -4.170941E+00 -8.769372E-01 -3.453368E+00 -5.989168E-01 +2.172646E-02 +4.414237E-05 +4.181401E+00 +8.912796E-01 +3.536506E+00 +6.287425E-01 0.000000E+00 0.000000E+00 -9.743205E+01 -4.749420E+02 -8.570316E-01 -3.807993E-02 -6.005903E+01 -1.807233E+02 +9.824432E+01 +4.828691E+02 +9.116848E-01 +4.231247E-02 +5.955090E+01 +1.775522E+02 0.000000E+00 0.000000E+00 -1.885450E-02 -3.653402E-05 -4.323863E+00 -9.447512E-01 -3.465465E+00 -6.022861E-01 +1.893222E-02 +3.288000E-05 +4.048183E+00 +8.291130E-01 +3.384041E+00 +5.742363E-01 0.000000E+00 0.000000E+00 -9.843481E+01 -4.846158E+02 -9.048150E-01 -4.205551E-02 -5.996660E+01 -1.802150E+02 +9.734253E+01 +4.738861E+02 +9.157632E-01 +4.329280E-02 +6.045835E+01 +1.835255E+02 0.000000E+00 0.000000E+00 -1.221444E-02 -2.263445E-05 -4.301287E+00 -9.309882E-01 -3.456076E+00 -5.992144E-01 +1.501842E-02 +1.896931E-05 +4.289989E+00 +9.251538E-01 +3.481357E+00 +6.071667E-01 0.000000E+00 0.000000E+00 -9.761231E+01 -4.765834E+02 -8.434644E-01 -3.728180E-02 -5.961891E+01 -1.783106E+02 +9.799829E+01 +4.803591E+02 +8.899390E-01 +4.078750E-02 +6.064531E+01 +1.842746E+02 0.000000E+00 0.000000E+00 -1.500709E-02 -3.541280E-05 -4.155669E+00 -8.713442E-01 -3.455342E+00 -6.006426E-01 +1.495496E-02 +3.082640E-05 +4.321537E+00 +9.371611E-01 +3.453767E+00 +5.983727E-01 0.000000E+00 0.000000E+00 -9.726798E+01 -4.733393E+02 -9.202611E-01 -4.390503E-02 +9.771776E+01 +4.777781E+02 +8.975444E-01 +4.157471E-02 tally 4: 0.000000E+00 0.000000E+00 @@ -116,14 +116,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.943264E+00 -4.008855E+00 -3.661063E+01 -6.704808E+01 -8.945553E+00 -4.011707E+00 -3.696832E+01 -6.835286E+01 +8.840487E+00 +3.915792E+00 +3.700362E+01 +6.851588E+01 +8.756789E+00 +3.844443E+00 +3.672366E+01 +6.747174E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -132,14 +132,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.844569E+00 -3.924591E+00 -3.666726E+01 -6.726522E+01 -8.769637E+00 -3.855006E+00 -3.654115E+01 -6.680777E+01 +8.860460E+00 +3.940908E+00 +3.704658E+01 +6.864069E+01 +8.832046E+00 +3.916611E+00 +3.736239E+01 +6.982147E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -156,14 +156,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.945553E+00 -4.011707E+00 -3.696832E+01 -6.835286E+01 -8.943264E+00 -4.008855E+00 -3.661063E+01 -6.704808E+01 +8.756789E+00 +3.844443E+00 +3.672366E+01 +6.747174E+01 +8.840487E+00 +3.915792E+00 +3.700362E+01 +6.851588E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -180,14 +180,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.648474E+00 -3.752219E+00 -3.689442E+01 -6.808997E+01 -8.757378E+00 -3.850408E+00 -3.716920E+01 -6.909715E+01 +8.892576E+00 +3.964978E+00 +3.703525E+01 +6.860645E+01 +8.824229E+00 +3.906925E+00 +3.685909E+01 +6.796123E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -212,22 +212,22 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.783669E+00 -3.870748E+00 -3.687358E+01 -6.802581E+01 -8.755250E+00 -3.846298E+00 -3.660278E+01 -6.704349E+01 -8.769637E+00 -3.855006E+00 -3.654115E+01 -6.680777E+01 -8.844569E+00 -3.924591E+00 -3.666726E+01 -6.726522E+01 +9.050876E+00 +4.111409E+00 +3.656082E+01 +6.687580E+01 +9.042402E+00 +4.105842E+00 +3.687247E+01 +6.801050E+01 +8.832046E+00 +3.916611E+00 +3.736239E+01 +6.982147E+01 +8.860460E+00 +3.940908E+00 +3.704658E+01 +6.864069E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -252,14 +252,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.755250E+00 -3.846298E+00 -3.660278E+01 -6.704349E+01 -8.783669E+00 -3.870748E+00 -3.687358E+01 -6.802581E+01 +9.042402E+00 +4.105842E+00 +3.687247E+01 +6.801050E+01 +9.050876E+00 +4.111409E+00 +3.656082E+01 +6.687580E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -268,14 +268,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.757378E+00 -3.850408E+00 -3.716920E+01 -6.909715E+01 -8.648474E+00 -3.752219E+00 -3.689442E+01 -6.808997E+01 +8.824229E+00 +3.906925E+00 +3.685909E+01 +6.796123E+01 +8.892576E+00 +3.964978E+00 +3.703525E+01 +6.860645E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -301,133 +301,133 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -6.036829E+01 -1.828885E+02 -1.008777E+02 -5.091033E+02 -1.353211E+01 -9.188155E+00 -4.618716E+01 -1.067410E+02 -6.007789E+01 -1.808371E+02 -1.018892E+02 -5.192269E+02 -1.357961E+01 -9.247052E+00 -4.618560E+01 -1.067058E+02 -5.997882E+01 -1.802895E+02 -1.010597E+02 -5.108478E+02 -1.374955E+01 -9.502494E+00 -4.619500E+01 -1.067547E+02 -5.963392E+01 -1.783999E+02 -1.007134E+02 -5.074700E+02 -1.319398E+01 -8.734106E+00 -4.586295E+01 -1.052870E+02 +5.994898E+01 +1.804403E+02 +1.017670E+02 +5.181130E+02 +1.354160E+01 +9.220935E+00 +4.648971E+01 +1.081636E+02 +5.956983E+01 +1.776668E+02 +1.007226E+02 +5.073592E+02 +1.347883E+01 +9.120344E+00 +4.609907E+01 +1.063127E+02 +6.047337E+01 +1.836168E+02 +1.014777E+02 +5.150557E+02 +1.390508E+01 +9.722899E+00 +4.629251E+01 +1.072027E+02 +6.066027E+01 +1.843661E+02 +1.011648E+02 +5.120629E+02 +1.365982E+01 +9.372236E+00 +4.602994E+01 +1.060579E+02 cmfd indices 2.000000E+00 2.000000E+00 1.000000E+00 2.000000E+00 k cmfd -1.018115E+00 -1.022665E+00 -1.020323E+00 -1.020653E+00 -1.021036E+00 -1.020623E+00 -1.021482E+00 -1.025450E+00 -1.027292E+00 -1.028065E+00 -1.027065E+00 -1.024275E+00 -1.025309E+00 -1.026039E+00 -1.026700E+00 -1.023865E+00 +1.013488E+00 +1.024396E+00 +1.015533E+00 +1.009319E+00 +1.012726E+00 +1.014831E+00 +1.021757E+00 +1.022002E+00 +1.023619E+00 +1.020953E+00 +1.023910E+00 +1.027657E+00 +1.024501E+00 +1.023838E+00 +1.025464E+00 +1.022802E+00 cmfd entropy -1.998965E+00 -1.999214E+00 -1.999348E+00 -1.999366E+00 -1.999564E+00 -1.999453E+00 -1.999533E+00 -1.999630E+00 -1.999739E+00 -1.999588E+00 -1.999581E+00 -1.999719E+00 -1.999773E+00 -1.999764E+00 -1.999821E+00 -1.999843E+00 +1.998974E+00 +1.998742E+00 +1.999128E+00 +1.998952E+00 +1.998951E+00 +1.999439E+00 +1.999626E+00 +1.999826E+00 +1.999513E+00 +1.999451E+00 +1.999514E+00 +1.999590E+00 +1.999563E+00 +1.999604E+00 +1.999742E+00 +1.999736E+00 cmfd balance -5.73174E-04 -7.55398E-04 -1.46671E-03 -6.39625E-04 -8.19008E-04 -1.93449E-03 -1.15900E-03 -1.01690E-03 -5.62788E-04 -6.90450E-04 -6.01060E-04 -5.73418E-04 -4.37190E-04 -4.82966E-04 -4.09700E-04 -3.45096E-04 +9.79896E-04 +4.24873E-04 +8.05696E-04 +1.92071E-03 +3.70731E-04 +2.81424E-04 +8.28991E-04 +6.12217E-04 +5.29185E-04 +4.97799E-04 +3.09154E-04 +1.73703E-04 +2.56689E-04 +2.64938E-04 +1.96305E-04 +1.82702E-04 cmfd dominance ratio -6.264E-03 -6.142E-03 -5.987E-03 -6.082E-03 -5.895E-03 -5.939E-03 -5.910E-03 -5.948E-03 -6.013E-03 -6.017E-03 -6.024E-03 -6.008E-03 -5.976E-03 -5.987E-03 -5.967E-03 -5.929E-03 +6.304E-03 +6.246E-03 +6.159E-03 +6.249E-03 +6.101E-03 +6.155E-03 +6.010E-03 +6.177E-03 +6.349E-03 +6.241E-03 +6.244E-03 +6.249E-03 +6.270E-03 +6.272E-03 +6.278E-03 +6.290E-03 cmfd openmc source comparison -4.832872E-05 -6.552342E-05 -7.516800E-05 -7.916087E-05 -9.022260E-05 -8.574478E-05 -7.891622E-05 -7.281636E-05 -7.750571E-05 -6.565408E-05 -6.078665E-05 -5.834343E-05 -4.758176E-05 -5.723990E-05 -4.994116E-05 -4.116808E-05 +4.046094E-05 +5.979431E-05 +3.836521E-05 +4.577591E-05 +5.012911E-05 +2.114677E-05 +2.074571E-05 +3.042280E-05 +2.408163E-05 +2.434542E-05 +1.190699E-05 +9.499301E-06 +2.354221E-05 +2.937924E-05 +1.889875E-05 +1.913866E-05 cmfd source -2.455663E-01 -2.553511E-01 -2.512257E-01 -2.478570E-01 +2.489706E-01 +2.426801E-01 +2.532142E-01 +2.551351E-01 0.000000E+00 0.000000E+00 0.000000E+00 diff --git a/tests/regression_tests/cmfd_feed_expanding_window/results_true.dat b/tests/regression_tests/cmfd_feed_expanding_window/results_true.dat index 8fd8cdbb84..b39f82f96e 100644 --- a/tests/regression_tests/cmfd_feed_expanding_window/results_true.dat +++ b/tests/regression_tests/cmfd_feed_expanding_window/results_true.dat @@ -1,117 +1,117 @@ k-combined: -1.167865E+00 7.492213E-03 +1.170835E+00 5.423480E-03 tally 1: -1.146860E+01 -1.318884E+01 -2.161527E+01 -4.685283E+01 -2.951158E+01 -8.733566E+01 -3.521610E+01 -1.242821E+02 -3.774236E+01 -1.426501E+02 -3.727918E+01 -1.391158E+02 -3.377176E+01 -1.143839E+02 -2.904497E+01 -8.452907E+01 -2.090871E+01 -4.384549E+01 -1.078642E+01 -1.168086E+01 +1.205100E+01 +1.456707E+01 +2.183882E+01 +4.781179E+01 +2.844010E+01 +8.102358E+01 +3.356334E+01 +1.130832E+02 +3.660829E+01 +1.344973E+02 +3.697740E+01 +1.371500E+02 +3.400119E+01 +1.160196E+02 +2.839868E+01 +8.083199E+01 +2.140398E+01 +4.615447E+01 +1.118179E+01 +1.262942E+01 tally 2: -1.136810E+00 -1.292338E+00 -7.987303E-01 -6.379700E-01 -2.266938E+00 -5.139009E+00 -1.613483E+00 -2.603328E+00 -3.046349E+00 -9.280239E+00 -2.182459E+00 -4.763126E+00 -3.568068E+00 -1.273111E+01 -2.532456E+00 -6.413333E+00 -3.989504E+00 -1.591614E+01 -2.848301E+00 -8.112818E+00 -3.853133E+00 -1.484663E+01 -2.718493E+00 -7.390202E+00 -3.478138E+00 -1.209745E+01 -2.467281E+00 -6.087476E+00 -2.952220E+00 -8.715605E+00 -2.103261E+00 -4.423706E+00 -1.917459E+00 -3.676649E+00 -1.378369E+00 -1.899902E+00 -1.048240E+00 -1.098807E+00 -7.511947E-01 -5.642934E-01 +1.218245E+00 +1.484121E+00 +8.387442E-01 +7.034918E-01 +2.142134E+00 +4.588738E+00 +1.526727E+00 +2.330895E+00 +2.736157E+00 +7.486556E+00 +1.973921E+00 +3.896363E+00 +3.606244E+00 +1.300500E+01 +2.537580E+00 +6.439313E+00 +3.668958E+00 +1.346126E+01 +2.599095E+00 +6.755294E+00 +3.647982E+00 +1.330777E+01 +2.539750E+00 +6.450332E+00 +3.118921E+00 +9.727669E+00 +2.186447E+00 +4.780549E+00 +2.881110E+00 +8.300795E+00 +2.042635E+00 +4.172360E+00 +2.045602E+00 +4.184486E+00 +1.458384E+00 +2.126884E+00 +1.022124E+00 +1.044738E+00 +7.112678E-01 +5.059018E-01 tally 3: -7.701233E-01 -5.930898E-01 -4.481585E-02 -2.008461E-03 -1.547307E+00 -2.394158E+00 -1.226539E-01 -1.504398E-02 -2.106373E+00 -4.436806E+00 -1.450618E-01 -2.104294E-02 -2.437654E+00 -5.942157E+00 -1.521380E-01 -2.314598E-02 -2.754639E+00 -7.588038E+00 -1.745460E-01 -3.046629E-02 -2.623852E+00 -6.884601E+00 -1.851602E-01 -3.428432E-02 -2.376886E+00 -5.649588E+00 -1.615729E-01 -2.610582E-02 -2.021856E+00 -4.087900E+00 -1.533174E-01 -2.350622E-02 -1.333190E+00 -1.777397E+00 -7.076188E-02 -5.007243E-03 -7.258527E-01 -5.268622E-01 -3.656030E-02 -1.336656E-03 +8.048428E-01 +6.477720E-01 +6.603741E-02 +4.360940E-03 +1.466886E+00 +2.151755E+00 +1.002354E-01 +1.004713E-02 +1.909238E+00 +3.645189E+00 +1.202824E-01 +1.446786E-02 +2.443130E+00 +5.968886E+00 +1.627351E-01 +2.648270E-02 +2.492602E+00 +6.213064E+00 +1.910368E-01 +3.649506E-02 +2.437262E+00 +5.940245E+00 +1.568389E-01 +2.459843E-02 +2.104091E+00 +4.427200E+00 +1.450465E-01 +2.103848E-02 +1.965900E+00 +3.864762E+00 +1.367918E-01 +1.871199E-02 +1.402871E+00 +1.968047E+00 +1.061316E-01 +1.126391E-02 +6.832689E-01 +4.668565E-01 +4.599034E-02 +2.115112E-03 tally 4: -1.667432E-01 -2.780328E-02 +1.497312E-01 +2.241943E-02 0.000000E+00 0.000000E+00 -1.292567E-01 -1.670730E-02 -2.813370E-01 -7.915052E-02 +1.535839E-01 +2.358801E-02 +2.882052E-01 +8.306225E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -128,14 +128,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.813370E-01 -7.915052E-02 -1.292567E-01 -1.670730E-02 -2.670549E-01 -7.131835E-02 -4.055324E-01 -1.644566E-01 +2.882052E-01 +8.306225E-02 +1.535839E-01 +2.358801E-02 +2.526805E-01 +6.384743E-02 +3.616220E-01 +1.307705E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -152,14 +152,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.055324E-01 -1.644566E-01 -2.670549E-01 -7.131835E-02 -3.848125E-01 -1.480807E-01 -4.809430E-01 -2.313062E-01 +3.616220E-01 +1.307705E-01 +2.526805E-01 +6.384743E-02 +3.594306E-01 +1.291904E-01 +4.229730E-01 +1.789062E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -176,14 +176,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.809430E-01 -2.313062E-01 -3.848125E-01 -1.480807E-01 -4.543918E-01 -2.064719E-01 -5.106133E-01 -2.607260E-01 +4.229730E-01 +1.789062E-01 +3.594306E-01 +1.291904E-01 +3.973299E-01 +1.578711E-01 +4.255879E-01 +1.811250E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -200,14 +200,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.106133E-01 -2.607260E-01 -4.543918E-01 -2.064719E-01 -4.543120E-01 -2.063994E-01 -4.626328E-01 -2.140291E-01 +4.255879E-01 +1.811250E-01 +3.973299E-01 +1.578711E-01 +4.633933E-01 +2.147333E-01 +4.672837E-01 +2.183540E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -224,14 +224,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.626328E-01 -2.140291E-01 -4.543120E-01 -2.063994E-01 -4.827759E-01 -2.330726E-01 -4.442622E-01 -1.973689E-01 +4.672837E-01 +2.183540E-01 +4.633933E-01 +2.147333E-01 +4.251073E-01 +1.807162E-01 +3.842922E-01 +1.476805E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -248,14 +248,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.442622E-01 -1.973689E-01 -4.827759E-01 -2.330726E-01 -4.630420E-01 -2.144079E-01 -3.886524E-01 -1.510507E-01 +3.842922E-01 +1.476805E-01 +4.251073E-01 +1.807162E-01 +4.045096E-01 +1.636280E-01 +3.192860E-01 +1.019436E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -272,14 +272,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -3.886524E-01 -1.510507E-01 -4.630420E-01 -2.144079E-01 -3.535870E-01 -1.250237E-01 -2.530312E-01 -6.402478E-02 +3.192860E-01 +1.019436E-01 +4.045096E-01 +1.636280E-01 +3.738326E-01 +1.397508E-01 +2.598153E-01 +6.750398E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -296,14 +296,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.530312E-01 -6.402478E-02 -3.535870E-01 -1.250237E-01 -2.465524E-01 -6.078808E-02 -1.197152E-01 -1.433173E-02 +2.598153E-01 +6.750398E-02 +3.738326E-01 +1.397508E-01 +2.453191E-01 +6.018146E-02 +1.098964E-01 +1.207721E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -320,12 +320,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -1.197152E-01 -1.433173E-02 -2.465524E-01 -6.078808E-02 -1.369631E-01 -1.875888E-02 +1.098964E-01 +1.207721E-02 +2.453191E-01 +6.018146E-02 +1.458094E-01 +2.126039E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -345,119 +345,119 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -7.701233E-01 -5.930898E-01 -1.386250E-01 -1.921688E-02 -1.547307E+00 -2.394158E+00 -2.630277E-01 -6.918357E-02 -2.106373E+00 -4.436806E+00 -2.807880E-01 -7.884187E-02 -2.435849E+00 -5.933361E+00 -3.322060E-01 -1.103608E-01 -2.753634E+00 -7.582501E+00 -3.825922E-01 -1.463768E-01 -2.623852E+00 -6.884601E+00 -3.888710E-01 -1.512206E-01 -2.376886E+00 -5.649588E+00 -3.196217E-01 -1.021581E-01 -2.021856E+00 -4.087900E+00 -2.897881E-01 -8.397715E-02 -1.333190E+00 -1.777397E+00 -1.627110E-01 -2.647486E-02 -7.258527E-01 -5.268622E-01 -9.348666E-02 -8.739755E-03 +8.048428E-01 +6.477720E-01 +1.018934E-01 +1.038226E-02 +1.466886E+00 +2.151755E+00 +1.414681E-01 +2.001322E-02 +1.909238E+00 +3.645189E+00 +2.450211E-01 +6.003535E-02 +2.443130E+00 +5.968886E+00 +3.360056E-01 +1.128997E-01 +2.492602E+00 +6.213064E+00 +3.266277E-01 +1.066856E-01 +2.437262E+00 +5.940245E+00 +2.878100E-01 +8.283461E-02 +2.104091E+00 +4.427200E+00 +3.440457E-01 +1.183675E-01 +1.965900E+00 +3.864762E+00 +2.880615E-01 +8.297945E-02 +1.401955E+00 +1.965478E+00 +1.646479E-01 +2.710892E-02 +6.832689E-01 +4.668565E-01 +1.147413E-01 +1.316557E-02 cmfd indices 1.000000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.149077E+00 -1.156751E+00 -1.158648E+00 -1.159506E+00 -1.156567E+00 -1.160259E+00 -1.150345E+00 -1.149846E+00 -1.151606E+00 -1.164544E+00 -1.174648E+00 +1.181376E+00 +1.176656E+00 +1.161939E+00 +1.163552E+00 +1.163035E+00 +1.170382E+00 +1.160597E+00 +1.154301E+00 +1.159007E+00 +1.148290E+00 +1.157088E+00 cmfd entropy -3.216173E+00 -3.228717E+00 -3.220402E+00 -3.214352E+00 -3.215636E+00 -3.213599E+00 -3.212854E+00 -3.213131E+00 -3.213196E+00 -3.205474E+00 -3.202869E+00 +3.246419E+00 +3.246511E+00 +3.252247E+00 +3.240919E+00 +3.237600E+00 +3.233990E+00 +3.234226E+00 +3.229356E+00 +3.224272E+00 +3.225381E+00 +3.226778E+00 cmfd balance -3.08825E-03 -1.42345E-03 -1.21253E-03 -1.17694E-03 -1.05901E-03 -9.29611E-04 -1.35587E-03 -1.13579E-03 -1.14964E-03 -1.29313E-03 -1.46566E-03 +4.18486E-03 +1.72126E-03 +1.10899E-03 +1.88170E-03 +1.31646E-03 +1.34128E-03 +1.57944E-03 +2.11251E-03 +1.79912E-03 +1.86000E-03 +1.47765E-03 cmfd dominance ratio 5.524E-01 -5.614E-01 -5.522E-01 -5.487E-01 -5.482E-01 -5.446E-01 -5.437E-01 -5.429E-01 -5.407E-01 -5.380E-01 -5.377E-01 +5.597E-01 +5.622E-01 +5.544E-01 +5.541E-01 +5.519E-01 +5.532E-01 +5.550E-01 +5.484E-01 +5.497E-01 +5.500E-01 cmfd openmc source comparison -1.586045E-02 -6.953134E-03 -6.860419E-03 -6.198467E-03 -5.142854E-03 -4.373354E-03 -5.564831E-03 -4.184765E-03 -1.867780E-03 -2.734784E-03 -2.523985E-03 +1.905464E-03 +4.145126E-03 +2.465876E-03 +2.346755E-03 +1.848120E-03 +3.263822E-03 +3.641639E-03 +4.031509E-03 +4.999010E-03 +6.640746E-03 +5.691414E-03 cmfd source -4.241440E-02 -8.226026E-02 -1.180811E-01 -1.328433E-01 -1.412410E-01 -1.424902E-01 -1.269340E-01 -1.096490E-01 -6.953251E-02 -3.455422E-02 +4.951338E-02 +8.478025E-02 +1.083132E-01 +1.301432E-01 +1.341190E-01 +1.445825E-01 +1.255119E-01 +1.063303E-01 +7.830158E-02 +3.840469E-02 diff --git a/tests/regression_tests/cmfd_feed_ng/results_true.dat b/tests/regression_tests/cmfd_feed_ng/results_true.dat index 153238bfeb..4ea1515f18 100644 --- a/tests/regression_tests/cmfd_feed_ng/results_true.dat +++ b/tests/regression_tests/cmfd_feed_ng/results_true.dat @@ -1,208 +1,208 @@ k-combined: -1.005987E+00 1.354263E-02 +1.008852E+00 9.028695E-03 tally 1: -1.140273E+02 -1.301245E+03 -1.147962E+02 -1.319049E+03 -1.151426E+02 -1.326442E+03 -1.149265E+02 -1.321518E+03 +1.151271E+02 +1.325871E+03 +1.143934E+02 +1.309051E+03 +1.142507E+02 +1.306616E+03 +1.140242E+02 +1.300786E+03 tally 2: -3.462748E+01 -7.542476E+01 -5.129219E+01 -1.658142E+02 -1.034704E+01 -6.730603E+00 -8.672967E+00 -4.715295E+00 -1.344669E+02 -1.132019E+03 -7.262519E+01 -3.300787E+02 -3.447358E+01 -7.459545E+01 -5.075836E+01 -1.619570E+02 -1.080516E+01 -7.366369E+00 -8.908065E+00 -4.991975E+00 -1.354224E+02 -1.146824E+03 -7.300078E+01 -3.332531E+02 -3.432298E+01 -7.388666E+01 -5.096378E+01 -1.627979E+02 -1.053664E+01 -7.029789E+00 -8.826624E+00 -4.904429E+00 -1.388389E+02 -1.207280E+03 -7.376623E+01 -3.403211E+02 -4.383841E+01 -1.943331E+02 -5.165881E+01 -1.675923E+02 -1.059646E+01 -7.048052E+00 -8.763673E+00 -4.823505E+00 -1.378179E+02 -1.188104E+03 -7.431708E+01 -3.453746E+02 +3.403617E+01 +7.260478E+01 +5.031678E+01 +1.588977E+02 +1.003700E+01 +6.373741E+00 +8.514575E+00 +4.571811E+00 +1.413036E+02 +1.264708E+03 +7.321799E+01 +3.353408E+02 +3.354839E+01 +7.052647E+01 +4.895930E+01 +1.501243E+02 +9.972495E+00 +6.271276E+00 +8.436263E+00 +4.481319E+00 +1.353506E+02 +1.146040E+03 +7.309382E+01 +3.341751E+02 +3.389861E+01 +7.205501E+01 +5.005946E+01 +1.571210E+02 +1.041650E+01 +6.810868E+00 +8.839753E+00 +4.897617E+00 +1.344145E+02 +1.130242E+03 +7.270373E+01 +3.307223E+02 +3.347928E+01 +7.040185E+01 +4.940585E+01 +1.535767E+02 +9.898649E+00 +6.175319E+00 +8.406032E+00 +4.442856E+00 +1.374544E+02 +1.182191E+03 +7.334301E+01 +3.365399E+02 tally 3: -4.858880E+01 -1.488705E+02 +4.755532E+01 +1.419592E+02 0.000000E+00 0.000000E+00 -8.148667E-03 -1.337050E-05 +1.628248E-02 +3.680742E-05 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.347376E+00 -7.045574E-01 -2.433484E+00 -3.727266E-01 +3.347160E+00 +7.104290E-01 +2.453669E+00 +3.797470E-01 0.000000E+00 0.000000E+00 -6.095478E+00 -2.332622E+00 +5.925795E+00 +2.220734E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.235421E-01 -1.205155E-03 -3.647699E-01 -8.953589E-03 +9.542527E-02 +1.118856E-03 +3.018759E-01 +6.371059E-03 0.000000E+00 0.000000E+00 -2.673965E+00 -4.517972E-01 +2.501316E+00 +3.938401E-01 0.000000E+00 0.000000E+00 -6.841105E+01 -2.929195E+02 -5.902473E-01 -2.307683E-02 -4.792291E+01 -1.444397E+02 +6.926265E+01 +3.001504E+02 +6.765221E-01 +2.991787E-02 +4.605523E+01 +1.328435E+02 0.000000E+00 0.000000E+00 -2.183275E-02 -8.061011E-05 +1.687782E-02 +3.921162E-05 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.435826E+00 -7.480244E-01 -2.450829E+00 -3.800327E-01 +3.481608E+00 +7.705602E-01 +2.439374E+00 +3.779705E-01 0.000000E+00 0.000000E+00 -6.331358E+00 -2.530492E+00 +5.855806E+00 +2.162361E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.012941E-01 -8.217580E-04 -2.981274E-01 -5.863186E-03 +1.016677E-01 +9.263706E-04 +3.264878E-01 +7.385168E-03 0.000000E+00 0.000000E+00 -2.535628E+00 -4.048310E-01 +2.519730E+00 +3.986182E-01 0.000000E+00 0.000000E+00 -6.912003E+01 -2.987684E+02 -5.984862E-01 -2.386115E-02 -4.822881E+01 -1.458309E+02 +6.920950E+01 +2.996184E+02 +5.985719E-01 +2.368062E-02 +4.730723E+01 +1.403550E+02 0.000000E+00 0.000000E+00 -1.525590E-02 -3.794082E-05 +6.800415E-03 +1.163614E-05 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.314494E+00 -6.944527E-01 -2.424209E+00 -3.691360E-01 +3.347607E+00 +7.085691E-01 +2.556997E+00 +4.109118E-01 0.000000E+00 0.000000E+00 -6.254897E+00 -2.474317E+00 +6.171063E+00 +2.391770E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.112542E-01 -1.051688E-03 -3.234880E-01 -7.156753E-03 +7.942016E-02 +5.628747E-04 +3.456912E-01 +7.940086E-03 0.000000E+00 0.000000E+00 -2.474142E+00 -3.837496E-01 +2.684459E+00 +4.546338E-01 0.000000E+00 0.000000E+00 -6.987095E+01 -3.053358E+02 -5.928782E-01 -2.368116E-02 -4.885415E+01 -1.499856E+02 +6.850588E+01 +2.936078E+02 +6.458806E-01 +2.672541E-02 +4.673301E+01 +1.374202E+02 0.000000E+00 0.000000E+00 -1.262416E-02 -2.486286E-05 +1.504681E-02 +4.202606E-05 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.426826E+00 -7.480396E-01 -2.487209E+00 -3.903882E-01 +3.139138E+00 +6.206027E-01 +2.341735E+00 +3.454035E-01 0.000000E+00 0.000000E+00 -6.127303E+00 -2.364605E+00 +5.923755E+00 +2.216341E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -9.439007E-02 -1.082564E-03 -2.963491E-01 -5.652952E-03 +7.030156E-02 +4.283974E-04 +3.247594E-01 +7.133772E-03 0.000000E+00 0.000000E+00 -2.620696E+00 -4.311792E-01 +2.559691E+00 +4.119674E-01 0.000000E+00 0.000000E+00 -7.030725E+01 -3.091241E+02 -5.986966E-01 -2.352487E-02 +6.938051E+01 +3.012078E+02 +5.159565E-01 +1.730381E-02 tally 4: 0.000000E+00 0.000000E+00 @@ -216,18 +216,18 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.028624E+00 -3.105990E+00 -2.154648E+00 -2.948865E-01 -2.714077E+01 -4.607926E+01 -7.035506E+00 -3.118549E+00 -2.085916E+00 -2.730884E-01 -2.750091E+01 -4.731304E+01 +7.028166E+00 +3.103666E+00 +2.028371E+00 +2.606104E-01 +2.715466E+01 +4.614452E+01 +6.981028E+00 +3.059096E+00 +2.032450E+00 +2.610410E-01 +2.734281E+01 +4.675062E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -240,18 +240,18 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.170567E+00 -3.240715E+00 -2.131758E+00 -2.862355E-01 -2.747702E+01 -4.722977E+01 -7.068817E+00 -3.139275E+00 -2.095865E+00 -2.762179E-01 -2.737835E+01 -4.688689E+01 +6.969559E+00 +3.054867E+00 +2.042871E+00 +2.624815E-01 +2.766332E+01 +4.787778E+01 +7.022610E+00 +3.098329E+00 +2.109973E+00 +2.824233E-01 +2.733826E+01 +4.676309E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -276,18 +276,18 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.035506E+00 -3.118549E+00 -2.085916E+00 -2.730884E-01 -2.750091E+01 -4.731304E+01 -7.028624E+00 -3.105990E+00 -2.154648E+00 -2.948865E-01 -2.714077E+01 -4.607926E+01 +6.981028E+00 +3.059096E+00 +2.032450E+00 +2.610410E-01 +2.734281E+01 +4.675062E+01 +7.028166E+00 +3.103666E+00 +2.028371E+00 +2.606104E-01 +2.715466E+01 +4.614452E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -312,18 +312,18 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.103896E+00 -3.171147E+00 -2.095666E+00 -2.756673E-01 -2.711842E+01 -4.600196E+01 -7.197270E+00 -3.255501E+00 -2.046179E+00 -2.630301E-01 -2.729901E+01 -4.662030E+01 +6.782152E+00 +2.885448E+00 +1.951138E+00 +2.400912E-01 +2.739652E+01 +4.697696E+01 +6.873220E+00 +2.965563E+00 +1.999066E+00 +2.521586E-01 +2.732700E+01 +4.670990E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -360,30 +360,30 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.240906E+00 -3.296285E+00 -2.130816E+00 -2.850713E-01 -2.761433E+01 -4.771548E+01 -7.126427E+00 -3.199209E+00 -2.177254E+00 -2.998765E-01 -2.754936E+01 -4.748447E+01 -7.068817E+00 -3.139275E+00 -2.095865E+00 -2.762179E-01 -2.737835E+01 -4.688689E+01 -7.170567E+00 -3.240715E+00 -2.131758E+00 -2.862355E-01 -2.747702E+01 -4.722977E+01 +6.933695E+00 +3.028826E+00 +2.080336E+00 +2.719620E-01 +2.726925E+01 +4.650782E+01 +6.836291E+00 +2.935998E+00 +2.124868E+00 +2.841370E-01 +2.709685E+01 +4.591604E+01 +7.022610E+00 +3.098329E+00 +2.109973E+00 +2.824233E-01 +2.733826E+01 +4.676309E+01 +6.969559E+00 +3.054867E+00 +2.042871E+00 +2.624815E-01 +2.766332E+01 +4.787778E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -420,18 +420,18 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.126427E+00 -3.199209E+00 -2.177254E+00 -2.998765E-01 -2.754936E+01 -4.748447E+01 -7.240906E+00 -3.296285E+00 -2.130816E+00 -2.850713E-01 -2.761433E+01 -4.771548E+01 +6.836291E+00 +2.935998E+00 +2.124868E+00 +2.841370E-01 +2.709685E+01 +4.591604E+01 +6.933695E+00 +3.028826E+00 +2.080336E+00 +2.719620E-01 +2.726925E+01 +4.650782E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -444,18 +444,18 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.197270E+00 -3.255501E+00 -2.046179E+00 -2.630301E-01 -2.729901E+01 -4.662030E+01 -7.103896E+00 -3.171147E+00 -2.095666E+00 -2.756673E-01 -2.711842E+01 -4.600196E+01 +6.873220E+00 +2.965563E+00 +1.999066E+00 +2.521586E-01 +2.732700E+01 +4.670990E+01 +6.782152E+00 +2.885448E+00 +1.951138E+00 +2.400912E-01 +2.739652E+01 +4.697696E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -493,124 +493,124 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -4.859695E+01 -1.489217E+02 -8.528963E+00 -4.561881E+00 -7.144500E+01 -3.194467E+02 -1.120265E+01 -7.944038E+00 -4.009821E+00 -1.012575E+00 -3.235456E+01 -6.558658E+01 -4.794474E+01 -1.445671E+02 -8.782187E+00 -4.852477E+00 -7.195036E+01 -3.237389E+02 -1.075572E+01 -7.333822E+00 -4.084680E+00 -1.054714E+00 -3.267154E+01 -6.675266E+01 -4.824407E+01 -1.459220E+02 -8.679106E+00 -4.742342E+00 -7.266858E+01 -3.302641E+02 -1.094872E+01 -7.536318E+00 -3.935828E+00 -9.749543E-01 -3.319517E+01 -6.894791E+01 -4.886677E+01 -1.500624E+02 -8.614512E+00 -4.662618E+00 -7.321408E+01 -3.352172E+02 -1.095123E+01 -7.574359E+00 -3.885927E+00 -9.539315E-01 -3.334065E+01 -6.953215E+01 +4.757160E+01 +1.420561E+02 +8.379464E+00 +4.426892E+00 +7.205748E+01 +3.248178E+02 +1.047742E+01 +6.922945E+00 +3.879420E+00 +9.517577E-01 +3.297227E+01 +6.802001E+01 +4.607211E+01 +1.329402E+02 +8.295180E+00 +4.334618E+00 +7.205259E+01 +3.247324E+02 +1.059307E+01 +7.039382E+00 +3.783039E+00 +9.030658E-01 +3.288052E+01 +6.762048E+01 +4.731403E+01 +1.403940E+02 +8.728060E+00 +4.774750E+00 +7.152809E+01 +3.200993E+02 +1.074636E+01 +7.270116E+00 +4.007351E+00 +1.010562E+00 +3.249303E+01 +6.611829E+01 +4.674806E+01 +1.375015E+02 +8.265491E+00 +4.296947E+00 +7.226174E+01 +3.267127E+02 +1.079228E+01 +7.340408E+00 +3.843888E+00 +9.273339E-01 +3.300391E+01 +6.823122E+01 cmfd indices 2.000000E+00 2.000000E+00 1.000000E+00 3.000000E+00 k cmfd -1.026473E+00 -1.024183E+00 -1.023151E+00 -1.025047E+00 -1.019801E+00 -1.020492E+00 -1.015249E+00 -1.016714E+00 -1.016047E+00 -1.019687E+00 -1.020955E+00 +1.011190E+00 +1.010705E+00 +1.014132E+00 +1.015900E+00 +1.019132E+00 +1.022616E+00 +1.023007E+00 +1.022300E+00 +1.014692E+00 +1.007628E+00 +1.006204E+00 cmfd entropy -1.999640E+00 -1.999556E+00 -1.999484E+00 -1.999718E+00 -1.999697E+00 -1.999657E+00 -1.999883E+00 -1.999902E+00 -1.999977E+00 -1.999977E+00 -1.999906E+00 +1.999167E+00 +1.999076E+00 +1.998507E+00 +1.997924E+00 +1.997814E+00 +1.997752E+00 +1.997882E+00 +1.998074E+00 +1.998109E+00 +1.998301E+00 +1.998581E+00 cmfd balance -8.10090E-04 -1.28103E-03 -7.97200E-04 -5.82188E-04 -7.20670E-04 -7.31475E-04 -5.71904E-04 -6.14057E-04 -6.00142E-04 -5.47870E-04 -3.53604E-04 +9.30124E-04 +2.56632E-04 +3.62598E-04 +4.17543E-04 +5.25720E-04 +4.90208E-04 +3.61304E-04 +2.24090E-04 +1.86602E-04 +1.78395E-04 +6.42497E-05 cmfd dominance ratio -3.977E-03 -4.018E-03 -3.950E-03 -3.866E-03 -3.840E-03 -3.888E-03 -3.867E-03 -3.896E-03 -3.924E-03 -3.885E-03 -3.913E-03 +4.194E-03 +4.234E-03 +4.149E-03 +4.209E-03 +4.185E-03 +4.197E-03 +4.175E-03 +4.105E-03 +4.056E-03 +4.122E-03 +4.113E-03 cmfd openmc source comparison -4.787501E-05 -4.450525E-05 -2.532345E-05 -3.844307E-05 -4.821504E-05 -4.840760E-05 -3.739246E-05 -3.957960E-05 -4.521480E-05 -4.072007E-05 -2.532636E-05 +2.078995E-05 +2.415218E-05 +3.311536E-05 +3.598613E-05 +3.156455E-05 +2.737017E-05 +2.468500E-05 +2.514215E-05 +1.601626E-05 +1.424027E-05 +4.201148E-06 cmfd source -2.486236E-01 -2.531628E-01 -2.460219E-01 -2.521918E-01 +2.558585E-01 +2.597562E-01 +2.529866E-01 +2.313986E-01 0.000000E+00 0.000000E+00 0.000000E+00 diff --git a/tests/regression_tests/cmfd_feed_rectlin/results_true.dat b/tests/regression_tests/cmfd_feed_rectlin/results_true.dat index 600b5d1528..a98f3fbd38 100644 --- a/tests/regression_tests/cmfd_feed_rectlin/results_true.dat +++ b/tests/regression_tests/cmfd_feed_rectlin/results_true.dat @@ -1,149 +1,149 @@ k-combined: -1.160561E+00 1.029736E-02 +1.157362E+00 9.651846E-03 tally 1: -1.089904E+01 -1.193573E+01 -2.026534E+01 -4.113383E+01 -2.723584E+01 -7.440537E+01 -3.309956E+01 -1.101184E+02 -3.659327E+01 -1.341221E+02 -3.780158E+01 -1.430045E+02 -3.520883E+01 -1.241772E+02 -2.961801E+01 -8.784675E+01 -2.182029E+01 -4.781083E+01 -1.180347E+01 -1.399970E+01 +1.160989E+01 +1.351117E+01 +2.127132E+01 +4.540172E+01 +2.903242E+01 +8.450044E+01 +3.443549E+01 +1.188763E+02 +3.678332E+01 +1.355586E+02 +3.760088E+01 +1.418740E+02 +3.433077E+01 +1.181837E+02 +2.861986E+01 +8.231285E+01 +2.182277E+01 +4.792086E+01 +1.138713E+01 +1.304425E+01 tally 2: -8.794706E+00 -3.939413E+00 -6.131113E+00 -1.913116E+00 -3.265522E+01 -5.364042E+01 -2.304238E+01 -2.672742E+01 -2.250225E+01 -2.541491E+01 -1.601668E+01 -1.288405E+01 -5.525355E+01 -1.531915E+02 -3.929637E+01 -7.748545E+01 -3.222711E+01 -5.216630E+01 -2.285375E+01 -2.623641E+01 -7.051908E+01 -2.495413E+02 -5.010064E+01 -1.259701E+02 -3.728726E+01 -6.974440E+01 -2.652872E+01 -3.530919E+01 -3.747306E+01 -7.058235E+01 -2.681415E+01 -3.613314E+01 -7.296802E+01 -2.669214E+02 -5.202502E+01 -1.356733E+02 -3.333947E+01 -5.579355E+01 -2.361733E+01 -2.800800E+01 -5.785916E+01 -1.680561E+02 -4.093282E+01 -8.410711E+01 -2.377151E+01 -2.842464E+01 -1.681789E+01 -1.423646E+01 -3.422028E+01 -5.880493E+01 -2.415199E+01 -2.930240E+01 -8.890608E+00 -3.986356E+00 -6.140159E+00 -1.897764E+00 +8.861425E+00 +3.953963E+00 +6.090757E+00 +1.866235E+00 +3.309260E+01 +5.493482E+01 +2.330765E+01 +2.725350E+01 +2.295343E+01 +2.647375E+01 +1.629166E+01 +1.334081E+01 +5.714234E+01 +1.640293E+02 +4.054051E+01 +8.261123E+01 +3.331786E+01 +5.565082E+01 +2.366345E+01 +2.807637E+01 +7.034800E+01 +2.485209E+02 +5.001286E+01 +1.256087E+02 +3.651223E+01 +6.686058E+01 +2.606851E+01 +3.408881E+01 +3.729833E+01 +6.997492E+01 +2.657970E+01 +3.553107E+01 +7.212382E+01 +2.611253E+02 +5.124647E+01 +1.318756E+02 +3.304529E+01 +5.486643E+01 +2.347504E+01 +2.771353E+01 +5.711252E+01 +1.640619E+02 +4.060288E+01 +8.298231E+01 +2.384078E+01 +2.855909E+01 +1.684046E+01 +1.426180E+01 +3.329487E+01 +5.573544E+01 +2.349871E+01 +2.776487E+01 +8.676886E+00 +3.814132E+00 +5.980976E+00 +1.815143E+00 tally 3: -5.925339E+00 -1.788596E+00 -3.912632E-01 -8.061838E-03 -2.215544E+01 -2.471404E+01 -1.465191E+00 -1.092622E-01 -1.542988E+01 -1.195626E+01 -1.022876E+00 -5.356825E-02 -3.792029E+01 -7.218149E+01 -2.370476E+00 -2.839465E-01 -2.200154E+01 -2.432126E+01 -1.360836E+00 -9.402424E-02 -4.824980E+01 -1.168447E+02 -3.124366E+00 -4.907460E-01 -2.557420E+01 -3.282066E+01 -1.725855E+00 -1.519830E-01 -2.577963E+01 -3.341077E+01 -1.654042E+00 -1.386845E-01 -5.008220E+01 -1.257610E+02 -3.223857E+00 -5.237360E-01 -2.273380E+01 -2.595325E+01 -1.438369E+00 -1.050840E-01 -3.938822E+01 -7.789691E+01 -2.648324E+00 -3.559703E-01 -1.623604E+01 -1.327214E+01 -1.058882E+00 -5.680630E-02 -2.325730E+01 -2.717892E+01 -1.584276E+00 -1.275868E-01 -5.937929E+00 -1.774847E+00 -3.866918E-01 -7.994353E-03 +5.847135E+00 +1.719612E+00 +3.960040E-01 +8.297721E-03 +2.245534E+01 +2.530222E+01 +1.468678E+00 +1.094031E-01 +1.571194E+01 +1.240597E+01 +1.004169E+00 +5.156464E-02 +3.901605E+01 +7.652715E+01 +2.648696E+00 +3.571840E-01 +2.275978E+01 +2.597555E+01 +1.456067E+00 +1.075035E-01 +4.821184E+01 +1.167725E+02 +3.105774E+00 +4.859873E-01 +2.519281E+01 +3.183845E+01 +1.595498E+00 +1.292133E-01 +2.560583E+01 +3.297409E+01 +1.673871E+00 +1.429651E-01 +4.930025E+01 +1.220909E+02 +3.206604E+00 +5.220919E-01 +2.255825E+01 +2.560134E+01 +1.422870E+00 +1.027151E-01 +3.910818E+01 +7.698933E+01 +2.568903E+00 +3.333385E-01 +1.620292E+01 +1.321173E+01 +1.068678E+00 +5.798793E-02 +2.264343E+01 +2.578648E+01 +1.503553E+00 +1.158411E-01 +5.751110E+00 +1.676910E+00 +3.450582E-01 +6.411784E-03 tally 4: -3.063235E+00 -4.714106E-01 +3.051764E+00 +4.671879E-01 0.000000E+00 0.000000E+00 -1.425705E+00 -1.043616E-01 -4.355515E+00 -9.538346E-01 +1.407008E+00 +1.004485E-01 +4.354708E+00 +9.506434E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -160,14 +160,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.355515E+00 -9.538346E-01 -1.425705E+00 -1.043616E-01 -3.859174E+00 -7.519499E-01 -6.350310E+00 -2.024214E+00 +4.354708E+00 +9.506434E-01 +1.407008E+00 +1.004485E-01 +3.852730E+00 +7.498016E-01 +6.382605E+00 +2.043123E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -184,14 +184,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -6.350310E+00 -2.024214E+00 -3.859174E+00 -7.519499E-01 -4.993073E+00 -1.258264E+00 -7.194275E+00 -2.596886E+00 +6.382605E+00 +2.043123E+00 +3.852730E+00 +7.498016E-01 +5.061607E+00 +1.288306E+00 +7.281209E+00 +2.659444E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -208,14 +208,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.194275E+00 -2.596886E+00 -4.993073E+00 -1.258264E+00 -6.786617E+00 -2.312259E+00 -8.306978E+00 -3.459668E+00 +7.281209E+00 +2.659444E+00 +5.061607E+00 +1.288306E+00 +7.096602E+00 +2.527474E+00 +8.632232E+00 +3.736665E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -232,14 +232,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.306978E+00 -3.459668E+00 -6.786617E+00 -2.312259E+00 -7.603410E+00 -2.905228E+00 -8.791222E+00 -3.882935E+00 +8.632232E+00 +3.736665E+00 +7.096602E+00 +2.527474E+00 +7.759456E+00 +3.019026E+00 +8.968687E+00 +4.037738E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -256,14 +256,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.791222E+00 -3.882935E+00 -7.603410E+00 -2.905228E+00 -8.867113E+00 -3.938503E+00 -9.302808E+00 -4.340042E+00 +8.968687E+00 +4.037738E+00 +7.759456E+00 +3.019026E+00 +8.749025E+00 +3.839161E+00 +9.126289E+00 +4.176440E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -280,14 +280,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.302808E+00 -4.340042E+00 -8.867113E+00 -3.938503E+00 -9.270113E+00 -4.306513E+00 -9.263471E+00 -4.302184E+00 +9.126289E+00 +4.176440E+00 +8.749025E+00 +3.839161E+00 +9.259277E+00 +4.304020E+00 +9.165726E+00 +4.216173E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -304,14 +304,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.263471E+00 -4.302184E+00 -9.270113E+00 -4.306513E+00 -9.348712E+00 -4.388570E+00 -8.977713E+00 -4.047349E+00 +9.165726E+00 +4.216173E+00 +9.259277E+00 +4.304020E+00 +9.433925E+00 +4.473551E+00 +8.910566E+00 +3.991458E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -328,14 +328,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.977713E+00 -4.047349E+00 -9.348712E+00 -4.388570E+00 -9.234380E+00 -4.280666E+00 -8.036978E+00 -3.239853E+00 +8.910566E+00 +3.991458E+00 +9.433925E+00 +4.473551E+00 +9.099397E+00 +4.154062E+00 +7.770126E+00 +3.029928E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -352,14 +352,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.036978E+00 -3.239853E+00 -9.234380E+00 -4.280666E+00 -8.713633E+00 -3.808850E+00 -7.160878E+00 -2.572915E+00 +7.770126E+00 +3.029928E+00 +9.099397E+00 +4.154062E+00 +8.575842E+00 +3.694998E+00 +6.934243E+00 +2.418570E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -376,14 +376,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.160878E+00 -2.572915E+00 -8.713633E+00 -3.808850E+00 -7.378538E+00 -2.732122E+00 -5.145728E+00 -1.329190E+00 +6.934243E+00 +2.418570E+00 +8.575842E+00 +3.694998E+00 +7.437526E+00 +2.780629E+00 +5.136923E+00 +1.331553E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -400,14 +400,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.145728E+00 -1.329190E+00 -7.378538E+00 -2.732122E+00 -6.660125E+00 -2.228506E+00 -4.087925E+00 -8.435381E-01 +5.136923E+00 +1.331553E+00 +7.437526E+00 +2.780629E+00 +6.648582E+00 +2.216687E+00 +4.050691E+00 +8.279789E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -424,14 +424,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.087925E+00 -8.435381E-01 -6.660125E+00 -2.228506E+00 -4.466295E+00 -1.002320E+00 -1.468481E+00 -1.099604E-01 +4.050691E+00 +8.279789E-01 +6.648582E+00 +2.216687E+00 +4.390906E+00 +9.686686E-01 +1.391624E+00 +9.861955E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -448,12 +448,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -1.468481E+00 -1.099604E-01 -4.466295E+00 -1.002320E+00 -3.139355E+00 -4.955456E-01 +1.391624E+00 +9.861955E-02 +4.390906E+00 +9.686686E-01 +3.113477E+00 +4.874296E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -473,164 +473,164 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -5.925339E+00 -1.788596E+00 -8.954773E-01 -4.217679E-02 -2.215054E+01 -2.470273E+01 -2.944747E+00 -4.443186E-01 -1.542658E+01 -1.195085E+01 -1.950262E+00 -1.946340E-01 -3.791137E+01 -7.214779E+01 -4.955741E+00 -1.254830E+00 -2.200054E+01 -2.431894E+01 -3.031040E+00 -4.685971E-01 -4.823946E+01 -1.167941E+02 -6.226321E+00 -1.956308E+00 -2.556930E+01 -3.280828E+01 -3.582546E+00 -6.505962E-01 -2.577249E+01 -3.339204E+01 -3.316825E+00 -5.676842E-01 -5.007249E+01 -1.257124E+02 -6.462364E+00 -2.120157E+00 -2.273285E+01 -2.595106E+01 -2.960964E+00 -4.496277E-01 -3.937362E+01 -7.783849E+01 -5.339336E+00 -1.449257E+00 -1.623315E+01 -1.326746E+01 -2.289661E+00 -2.698618E-01 -2.325250E+01 -2.716827E+01 -3.253010E+00 -5.413837E-01 -5.937929E+00 -1.774847E+00 -9.208589E-01 -4.421403E-02 +5.846103E+00 +1.718959E+00 +8.952028E-01 +4.184063E-02 +2.245226E+01 +2.529524E+01 +3.092645E+00 +4.848878E-01 +1.571095E+01 +1.240426E+01 +2.178244E+00 +2.438479E-01 +3.900638E+01 +7.648853E+01 +5.265574E+00 +1.401505E+00 +2.275895E+01 +2.597348E+01 +3.067909E+00 +4.810969E-01 +4.820213E+01 +1.167232E+02 +6.403602E+00 +2.070034E+00 +2.519091E+01 +3.183360E+01 +3.463531E+00 +6.097568E-01 +2.560388E+01 +3.296889E+01 +3.456252E+00 +6.101655E-01 +4.929539E+01 +1.220666E+02 +6.629094E+00 +2.223366E+00 +2.255498E+01 +2.559363E+01 +2.833426E+00 +4.150907E-01 +3.909813E+01 +7.694976E+01 +5.582222E+00 +1.584757E+00 +1.620082E+01 +1.320814E+01 +2.282196E+00 +2.703156E-01 +2.263498E+01 +2.576758E+01 +3.162736E+00 +5.145038E-01 +5.750110E+00 +1.676357E+00 +9.181679E-01 +4.562885E-02 cmfd indices 1.400000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.125528E+00 -1.145509E+00 -1.158948E+00 -1.171983E+00 -1.180649E+00 -1.184072E+00 -1.188112E+00 -1.183095E+00 -1.182269E+00 -1.175467E+00 -1.175184E+00 -1.172637E+00 -1.171593E+00 -1.175439E+00 -1.174650E+00 -1.176474E+00 +1.166740E+00 +1.184008E+00 +1.166534E+00 +1.155559E+00 +1.164960E+00 +1.163229E+00 +1.165897E+00 +1.170104E+00 +1.170207E+00 +1.168091E+00 +1.170940E+00 +1.174589E+00 +1.174609E+00 +1.171505E+00 +1.174456E+00 +1.178370E+00 cmfd entropy -3.607059E+00 -3.604890E+00 -3.601329E+00 -3.597776E+00 -3.597360E+00 -3.597387E+00 -3.595379E+00 -3.596995E+00 -3.600901E+00 -3.601832E+00 -3.601426E+00 -3.604521E+00 -3.602848E+00 -3.603875E+00 -3.605213E+00 -3.606699E+00 +3.594757E+00 +3.587018E+00 +3.590385E+00 +3.595101E+00 +3.592151E+00 +3.600294E+00 +3.602102E+00 +3.604941E+00 +3.605897E+00 +3.604880E+00 +3.601658E+00 +3.602551E+00 +3.600160E+00 +3.604540E+00 +3.604094E+00 +3.602509E+00 cmfd balance -4.46212E-03 -4.66648E-03 -5.04274E-03 -5.21553E-03 -3.92498E-03 -2.97185E-03 -2.79785E-03 -2.66951E-03 -2.17472E-03 -1.98009E-03 -1.77035E-03 -1.51281E-03 -1.52807E-03 -1.33341E-03 -1.18155E-03 -1.07752E-03 +5.52960E-03 +5.42154E-03 +3.62152E-03 +2.92850E-03 +4.08642E-03 +2.07444E-03 +2.03704E-03 +2.06886E-03 +2.09646E-03 +1.94256E-03 +2.02728E-03 +1.89830E-03 +1.83910E-03 +1.48140E-03 +1.47034E-03 +1.64452E-03 cmfd dominance ratio -6.136E-01 -6.127E-01 -6.137E-01 -6.102E-01 -6.067E-01 -6.061E-01 -6.031E-01 6.046E-01 -6.071E-01 -6.089E-01 -6.073E-01 -6.080E-01 -6.080E-01 +6.015E-01 +6.059E-01 +6.060E-01 +6.061E-01 +6.109E-01 +6.110E-01 +6.108E-01 +6.120E-01 +6.124E-01 +6.109E-01 6.090E-01 -6.092E-01 -6.094E-01 +6.116E-01 +6.137E-01 +6.117E-01 +6.131E-01 cmfd openmc source comparison -1.043027E-02 -1.278226E-02 -1.184867E-02 -1.017186E-02 -1.099696E-02 -7.955341E-03 -8.360344E-03 -6.875508E-03 -4.824018E-03 -4.915363E-03 -5.371647E-03 -4.593100E-03 -4.894955E-03 -4.928253E-03 -4.292171E-03 -4.018545E-03 +1.035187E-02 +9.394886E-03 +6.879487E-03 +7.236029E-03 +6.543528E-03 +3.600620E-03 +2.859638E-03 +2.230047E-03 +2.180643E-03 +1.638534E-03 +1.764349E-03 +1.621487E-03 +1.221762E-03 +1.626297E-03 +1.951813E-03 +9.584126E-04 cmfd source -1.600876E-02 -6.000305E-02 -4.248071E-02 -9.935789E-02 -5.768092E-02 -1.338593E-01 -7.417398E-02 -7.102984E-02 -1.382563E-01 -6.181889E-02 -1.142473E-01 -4.571447E-02 -6.864655E-02 -1.672206E-02 +1.677059E-02 +6.229453E-02 +4.278394E-02 +1.134852E-01 +6.231020E-02 +1.327286E-01 +6.808362E-02 +7.130954E-02 +1.362127E-01 +6.048013E-02 +1.094460E-01 +4.546687E-02 +6.403310E-02 +1.459510E-02 diff --git a/tests/regression_tests/cmfd_feed_ref_d/results_true.dat b/tests/regression_tests/cmfd_feed_ref_d/results_true.dat index 9cc26b8cff..34cde1a46e 100644 --- a/tests/regression_tests/cmfd_feed_ref_d/results_true.dat +++ b/tests/regression_tests/cmfd_feed_ref_d/results_true.dat @@ -1,117 +1,117 @@ k-combined: -1.167869E+00 7.492916E-03 +1.162249E+00 5.812620E-03 tally 1: -1.146821E+01 -1.318787E+01 -2.161476E+01 -4.685066E+01 -2.951084E+01 -8.733116E+01 -3.521523E+01 -1.242762E+02 -3.774181E+01 -1.426460E+02 -3.727924E+01 -1.391162E+02 -3.377236E+01 -1.143877E+02 -2.904590E+01 -8.453427E+01 -2.090941E+01 -4.384824E+01 -1.078680E+01 -1.168172E+01 +1.153831E+01 +1.338142E+01 +2.155552E+01 +4.659071E+01 +2.813997E+01 +7.941672E+01 +3.270996E+01 +1.073664E+02 +3.639852E+01 +1.329148E+02 +3.729637E+01 +1.393474E+02 +3.443129E+01 +1.186461E+02 +2.832690E+01 +8.040998E+01 +2.177527E+01 +4.771147E+01 +1.146822E+01 +1.328252E+01 tally 2: -1.136805E+00 -1.292326E+00 -7.987282E-01 -6.379667E-01 -2.266961E+00 -5.139112E+00 -1.613498E+00 -2.603376E+00 -3.046379E+00 -9.280427E+00 -2.182480E+00 -4.763219E+00 -3.568101E+00 -1.273134E+01 -2.532478E+00 -6.413444E+00 -3.989532E+00 -1.591637E+01 -2.848319E+00 -8.112921E+00 -3.853139E+00 -1.484668E+01 -2.718497E+00 -7.390223E+00 -3.478134E+00 -1.209742E+01 -2.467279E+00 -6.087465E+00 -2.952214E+00 -8.715569E+00 -2.103257E+00 -4.423688E+00 -1.917446E+00 -3.676599E+00 -1.378361E+00 -1.899878E+00 -1.048230E+00 -1.098785E+00 -7.511876E-01 -5.642828E-01 +1.024353E+00 +1.049299E+00 +6.991057E-01 +4.887487E-01 +2.200432E+00 +4.841901E+00 +1.561655E+00 +2.438768E+00 +2.910400E+00 +8.470426E+00 +2.095155E+00 +4.389674E+00 +3.466006E+00 +1.201320E+01 +2.480456E+00 +6.152662E+00 +3.711781E+00 +1.377732E+01 +2.646019E+00 +7.001418E+00 +3.953648E+00 +1.563133E+01 +2.832759E+00 +8.024524E+00 +3.597870E+00 +1.294467E+01 +2.555396E+00 +6.530048E+00 +2.860871E+00 +8.184585E+00 +2.032282E+00 +4.130169E+00 +2.006740E+00 +4.027007E+00 +1.408150E+00 +1.982886E+00 +1.035163E+00 +1.071562E+00 +7.084068E-01 +5.018402E-01 tally 3: -7.701212E-01 -5.930866E-01 -4.481580E-02 -2.008456E-03 -1.547321E+00 -2.394203E+00 -1.226538E-01 -1.504395E-02 -2.106393E+00 -4.436893E+00 -1.450617E-01 -2.104289E-02 -2.437675E+00 -5.942260E+00 -1.521379E-01 -2.314593E-02 -2.754657E+00 -7.588135E+00 -1.745458E-01 -3.046622E-02 -2.623856E+00 -6.884619E+00 -1.851600E-01 -3.428423E-02 -2.376884E+00 -5.649579E+00 -1.615728E-01 -2.610576E-02 -2.021851E+00 -4.087882E+00 -1.533172E-01 -2.350617E-02 -1.333182E+00 -1.777374E+00 -7.076179E-02 -5.007231E-03 -7.258458E-01 -5.268521E-01 -3.656026E-02 -1.336653E-03 +6.713566E-01 +4.507196E-01 +5.581718E-02 +3.115557E-03 +1.508976E+00 +2.277009E+00 +1.139601E-01 +1.298690E-02 +2.035529E+00 +4.143377E+00 +1.221001E-01 +1.490843E-02 +2.385217E+00 +5.689262E+00 +1.500087E-01 +2.250260E-02 +2.546286E+00 +6.483574E+00 +1.546601E-01 +2.391975E-02 +2.726427E+00 +7.433407E+00 +1.686144E-01 +2.843081E-02 +2.466613E+00 +6.084179E+00 +1.558230E-01 +2.428079E-02 +1.951251E+00 +3.807379E+00 +1.197744E-01 +1.434590E-02 +1.347903E+00 +1.816842E+00 +9.419149E-02 +8.872037E-03 +6.840490E-01 +4.679231E-01 +5.000289E-02 +2.500289E-03 tally 4: -1.667426E-01 -2.780308E-02 +1.561665E-01 +2.438798E-02 0.000000E+00 0.000000E+00 -1.292556E-01 -1.670700E-02 -2.813401E-01 -7.915227E-02 +1.307011E-01 +1.708276E-02 +2.703168E-01 +7.307115E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -128,14 +128,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.813401E-01 -7.915227E-02 -1.292556E-01 -1.670700E-02 -2.670582E-01 -7.132006E-02 -4.055365E-01 -1.644599E-01 +2.703168E-01 +7.307115E-02 +1.307011E-01 +1.708276E-02 +2.637619E-01 +6.957033E-02 +3.685390E-01 +1.358210E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -152,14 +152,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.055365E-01 -1.644599E-01 -2.670582E-01 -7.132006E-02 -3.848164E-01 -1.480837E-01 -4.809472E-01 -2.313102E-01 +3.685390E-01 +1.358210E-01 +2.637619E-01 +6.957033E-02 +3.887017E-01 +1.510890E-01 +4.439407E-01 +1.970834E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -176,14 +176,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.809472E-01 -2.313102E-01 -3.848164E-01 -1.480837E-01 -4.543959E-01 -2.064756E-01 -5.106174E-01 -2.607301E-01 +4.439407E-01 +1.970834E-01 +3.887017E-01 +1.510890E-01 +4.456116E-01 +1.985697E-01 +4.737035E-01 +2.243950E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -200,14 +200,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.106174E-01 -2.607301E-01 -4.543959E-01 -2.064756E-01 -4.543155E-01 -2.064026E-01 -4.626331E-01 -2.140294E-01 +4.737035E-01 +2.243950E-01 +4.456116E-01 +1.985697E-01 +4.760577E-01 +2.266309E-01 +4.703245E-01 +2.212052E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -224,14 +224,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.626331E-01 -2.140294E-01 -4.543155E-01 -2.064026E-01 -4.827763E-01 -2.330729E-01 -4.442611E-01 -1.973679E-01 +4.703245E-01 +2.212052E-01 +4.760577E-01 +2.266309E-01 +4.878056E-01 +2.379543E-01 +4.373120E-01 +1.912418E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -248,14 +248,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.442611E-01 -1.973679E-01 -4.827763E-01 -2.330729E-01 -4.630415E-01 -2.144074E-01 -3.886521E-01 -1.510505E-01 +4.373120E-01 +1.912418E-01 +4.878056E-01 +2.379543E-01 +4.262194E-01 +1.816630E-01 +3.334152E-01 +1.111657E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -272,14 +272,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -3.886521E-01 -1.510505E-01 -4.630415E-01 -2.144074E-01 -3.535862E-01 -1.250232E-01 -2.530293E-01 -6.402384E-02 +3.334152E-01 +1.111657E-01 +4.262194E-01 +1.816630E-01 +3.560156E-01 +1.267471E-01 +2.409954E-01 +5.807879E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -296,14 +296,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.530293E-01 -6.402384E-02 -3.535862E-01 -1.250232E-01 -2.465508E-01 -6.078730E-02 -1.197139E-01 -1.433141E-02 +2.409954E-01 +5.807879E-02 +3.560156E-01 +1.267471E-01 +2.646501E-01 +7.003965E-02 +1.327244E-01 +1.761576E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -320,12 +320,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -1.197139E-01 -1.433141E-02 -2.465508E-01 -6.078730E-02 -1.369614E-01 -1.875841E-02 +1.327244E-01 +1.761576E-02 +2.646501E-01 +7.003965E-02 +1.480567E-01 +2.192079E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -345,119 +345,119 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -7.701212E-01 -5.930866E-01 -1.386254E-01 -1.921700E-02 -1.547321E+00 -2.394203E+00 -2.630318E-01 -6.918571E-02 -2.106393E+00 -4.436893E+00 -2.807911E-01 -7.884363E-02 -2.435870E+00 -5.933464E+00 -3.322093E-01 -1.103630E-01 -2.753652E+00 -7.582597E+00 -3.825961E-01 -1.463797E-01 -2.623856E+00 -6.884619E+00 -3.888719E-01 -1.512213E-01 -2.376884E+00 -5.649579E+00 -3.196211E-01 -1.021576E-01 -2.021851E+00 -4.087882E+00 -2.897873E-01 -8.397667E-02 -1.333182E+00 -1.777374E+00 -1.627096E-01 -2.647441E-02 -7.258458E-01 -5.268521E-01 -9.348575E-02 -8.739586E-03 +6.713566E-01 +4.507196E-01 +9.805793E-02 +9.615358E-03 +1.508976E+00 +2.277009E+00 +1.968348E-01 +3.874394E-02 +2.032573E+00 +4.131353E+00 +2.120922E-01 +4.498309E-02 +2.385217E+00 +5.689262E+00 +2.863031E-01 +8.196946E-02 +2.545200E+00 +6.478041E+00 +3.278920E-01 +1.075131E-01 +2.726427E+00 +7.433407E+00 +3.770758E-01 +1.421861E-01 +2.466613E+00 +6.084179E+00 +3.593230E-01 +1.291130E-01 +1.951251E+00 +3.807379E+00 +2.474112E-01 +6.121229E-02 +1.347903E+00 +1.816842E+00 +2.127109E-01 +4.524594E-02 +6.823620E-01 +4.656179E-01 +1.249863E-01 +1.562159E-02 cmfd indices 1.000000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.149087E+00 -1.156777E+00 -1.158641E+00 -1.159507E+00 -1.156564E+00 -1.160257E+00 -1.150344E+00 -1.149854E+00 -1.151616E+00 -1.164575E+00 -1.174683E+00 +1.181365E+00 +1.176693E+00 +1.161946E+00 +1.163565E+00 +1.163043E+00 +1.169908E+00 +1.149155E+00 +1.142379E+00 +1.152957E+00 +1.137602E+00 +1.141883E+00 cmfd entropy -3.216202E+00 -3.228703E+00 -3.220414E+00 -3.214361E+00 -3.215642E+00 -3.213607E+00 -3.212862E+00 -3.213128E+00 -3.213189E+00 -3.205465E+00 -3.202859E+00 +3.246422E+00 +3.246496E+00 +3.252238E+00 +3.240920E+00 +3.237606E+00 +3.234301E+00 +3.234103E+00 +3.229918E+00 +3.226983E+00 +3.221321E+00 +3.223622E+00 cmfd balance -3.08825E-03 -1.42554E-03 -1.21448E-03 -1.17859E-03 -1.06034E-03 -9.30949E-04 -1.35713E-03 -1.13694E-03 -1.14938E-03 -1.29296E-03 -1.46518E-03 +4.18486E-03 +1.72126E-03 +1.10906E-03 +1.88158E-03 +1.31626E-03 +1.30818E-03 +1.77315E-03 +2.16148E-03 +1.67789E-03 +2.31333E-03 +1.94932E-03 cmfd dominance ratio -5.503E-01 -5.596E-01 5.505E-01 -5.471E-01 -5.468E-01 -5.427E-01 -5.421E-01 -5.412E-01 -5.389E-01 -5.371E-01 -5.329E-01 +5.580E-01 +5.610E-01 +5.526E-01 +5.519E-01 +5.499E-01 +5.504E-01 +5.504E-01 +5.475E-01 +5.465E-01 +5.477E-01 cmfd openmc source comparison -1.571006E-02 -6.945629E-03 -6.838511E-03 -6.183655E-03 -5.138825E-03 -4.362701E-03 -5.558586E-03 -4.188314E-03 -1.837101E-03 -2.737321E-03 -2.529244E-03 +1.902234E-03 +4.110960E-03 +2.452031E-03 +2.337951E-03 +1.838979E-03 +3.138637E-03 +2.684401E-03 +2.912891E-03 +2.823494E-03 +6.391584E-03 +5.904139E-03 cmfd source -4.240947E-02 -8.226746E-02 -1.180848E-01 -1.328470E-01 -1.412449E-01 -1.424870E-01 -1.269297E-01 -1.096476E-01 -6.953001E-02 -3.455212E-02 +4.488002E-02 +8.895136E-02 +1.085930E-01 +1.229651E-01 +1.330479E-01 +1.497140E-01 +1.309102E-01 +1.028556E-01 +7.738878E-02 +4.069397E-02 diff --git a/tests/regression_tests/cmfd_feed_rolling_window/results_true.dat b/tests/regression_tests/cmfd_feed_rolling_window/results_true.dat index 5ff4a132fd..2e31b35bab 100644 --- a/tests/regression_tests/cmfd_feed_rolling_window/results_true.dat +++ b/tests/regression_tests/cmfd_feed_rolling_window/results_true.dat @@ -1,117 +1,117 @@ k-combined: -1.173626E+00 1.098719E-02 +1.158333E+00 1.402684E-02 tally 1: -1.101892E+01 -1.218768E+01 -2.036233E+01 -4.152577E+01 -2.937587E+01 -8.637268E+01 -3.502389E+01 -1.231700E+02 -3.804803E+01 -1.453948E+02 -3.822561E+01 -1.465677E+02 -3.456290E+01 -1.198651E+02 -2.904088E+01 -8.470264E+01 -2.111529E+01 -4.463713E+01 -1.147633E+01 -1.326012E+01 +1.169478E+01 +1.373162E+01 +2.192038E+01 +4.844559E+01 +2.913292E+01 +8.542569E+01 +3.446069E+01 +1.201782E+02 +3.624088E+01 +1.320213E+02 +3.569791E+01 +1.278170E+02 +3.340601E+01 +1.119165E+02 +2.908648E+01 +8.514603E+01 +2.175458E+01 +4.767916E+01 +1.171268E+01 +1.378033E+01 tally 2: -1.010478E+00 -1.021066E+00 -6.902031E-01 -4.763804E-01 -1.899891E+00 -3.609584E+00 -1.322615E+00 -1.749312E+00 -2.756419E+00 -7.597845E+00 -1.955934E+00 -3.825676E+00 -3.818740E+00 -1.458278E+01 -2.704746E+00 -7.315652E+00 -3.920857E+00 -1.537312E+01 -2.843144E+00 -8.083470E+00 -3.835060E+00 -1.470768E+01 -2.728705E+00 -7.445831E+00 -3.510590E+00 -1.232424E+01 -2.497237E+00 -6.236191E+00 -2.717388E+00 -7.384198E+00 -1.903638E+00 -3.623837E+00 -2.207863E+00 -4.874659E+00 -1.563588E+00 -2.444808E+00 -1.289027E+00 -1.661591E+00 -9.022714E-01 -8.140937E-01 +1.132414E+00 +1.282361E+00 +7.822980E-01 +6.119901E-01 +2.124428E+00 +4.513196E+00 +1.490832E+00 +2.222581E+00 +3.158472E+00 +9.975946E+00 +2.221665E+00 +4.935795E+00 +3.994786E+00 +1.595831E+01 +2.828109E+00 +7.998199E+00 +3.491035E+00 +1.218732E+01 +2.461223E+00 +6.057617E+00 +3.461784E+00 +1.198395E+01 +2.473337E+00 +6.117398E+00 +3.027132E+00 +9.163527E+00 +2.150455E+00 +4.624458E+00 +2.471217E+00 +6.106911E+00 +1.737168E+00 +3.017752E+00 +1.880969E+00 +3.538044E+00 +1.316574E+00 +1.733367E+00 +1.233103E+00 +1.520543E+00 +8.543318E-01 +7.298828E-01 tally 3: -6.593197E-01 -4.347024E-01 -5.216387E-02 -2.721069E-03 -1.266446E+00 -1.603885E+00 -8.298797E-02 -6.887003E-03 -1.888709E+00 -3.567222E+00 -1.398940E-01 -1.957033E-02 -2.616078E+00 -6.843867E+00 -1.588627E-01 -2.523735E-02 -2.733300E+00 -7.470927E+00 -1.944290E-01 -3.780262E-02 -2.643656E+00 -6.988917E+00 -1.612338E-01 -2.599633E-02 -2.410643E+00 -5.811199E+00 -1.754603E-01 -3.078631E-02 -1.838012E+00 -3.378288E+00 -1.126265E-01 -1.268473E-02 -1.500033E+00 -2.250100E+00 -1.102554E-01 -1.215626E-02 -8.750096E-01 -7.656418E-01 -6.757592E-02 -4.566505E-03 +7.540113E-01 +5.685330E-01 +6.367610E-02 +4.054646E-03 +1.436984E+00 +2.064922E+00 +8.961822E-02 +8.031425E-03 +2.132240E+00 +4.546449E+00 +1.356065E-01 +1.838913E-02 +2.726356E+00 +7.433016E+00 +1.780572E-01 +3.170438E-02 +2.379700E+00 +5.662970E+00 +1.544735E-01 +2.386206E-02 +2.383471E+00 +5.680933E+00 +1.568319E-01 +2.459624E-02 +2.047271E+00 +4.191318E+00 +1.662654E-01 +2.764418E-02 +1.673107E+00 +2.799287E+00 +1.132020E-01 +1.281468E-02 +1.271576E+00 +1.616906E+00 +7.546797E-02 +5.695415E-03 +8.249906E-01 +6.806094E-01 +5.660098E-02 +3.203671E-03 tally 4: -1.490605E-01 -2.221904E-02 +1.551630E-01 +2.407556E-02 0.000000E+00 0.000000E+00 -1.139233E-01 -1.297851E-02 -2.549497E-01 -6.499934E-02 +1.487992E-01 +2.214121E-02 +2.878091E-01 +8.283409E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -128,14 +128,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.549497E-01 -6.499934E-02 -1.139233E-01 -1.297851E-02 -2.191337E-01 -4.801958E-02 -3.295187E-01 -1.085826E-01 +2.878091E-01 +8.283409E-02 +1.487992E-01 +2.214121E-02 +2.936596E-01 +8.623595E-02 +3.954149E-01 +1.563529E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -152,14 +152,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -3.295187E-01 -1.085826E-01 -2.191337E-01 -4.801958E-02 -3.872400E-01 -1.499548E-01 -4.595835E-01 -2.112170E-01 +3.954149E-01 +1.563529E-01 +2.936596E-01 +8.623595E-02 +3.991153E-01 +1.592930E-01 +4.758410E-01 +2.264247E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -176,14 +176,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.595835E-01 -2.112170E-01 -3.872400E-01 -1.499548E-01 -4.668106E-01 -2.179121E-01 -5.112307E-01 -2.613569E-01 +4.758410E-01 +2.264247E-01 +3.991153E-01 +1.592930E-01 +4.850882E-01 +2.353106E-01 +5.210840E-01 +2.715285E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -200,14 +200,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.112307E-01 -2.613569E-01 -4.668106E-01 -2.179121E-01 -4.716605E-01 -2.224636E-01 -4.916148E-01 -2.416851E-01 +5.210840E-01 +2.715285E-01 +4.850882E-01 +2.353106E-01 +4.790245E-01 +2.294645E-01 +4.570092E-01 +2.088574E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -224,14 +224,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.916148E-01 -2.416851E-01 -4.716605E-01 -2.224636E-01 -4.696777E-01 -2.205972E-01 -4.365150E-01 -1.905453E-01 +4.570092E-01 +2.088574E-01 +4.790245E-01 +2.294645E-01 +4.505886E-01 +2.030301E-01 +3.884038E-01 +1.508575E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -248,14 +248,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -4.365150E-01 -1.905453E-01 -4.696777E-01 -2.205972E-01 -4.179902E-01 -1.747158E-01 -3.350564E-01 -1.122628E-01 +3.884038E-01 +1.508575E-01 +4.505886E-01 +2.030301E-01 +3.986999E-01 +1.589616E-01 +3.220889E-01 +1.037412E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -272,14 +272,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -3.350564E-01 -1.122628E-01 -4.179902E-01 -1.747158E-01 -3.743487E-01 -1.401370E-01 -2.400661E-01 -5.763172E-02 +3.220889E-01 +1.037412E-01 +3.986999E-01 +1.589616E-01 +3.319083E-01 +1.101631E-01 +2.101261E-01 +4.415297E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -296,14 +296,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.400661E-01 -5.763172E-02 -3.743487E-01 -1.401370E-01 -3.063657E-01 -9.385994E-02 -1.605078E-01 -2.576275E-02 +2.101261E-01 +4.415297E-02 +3.319083E-01 +1.101631E-01 +2.795459E-01 +7.814588E-02 +1.306499E-01 +1.706938E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -320,12 +320,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -1.605078E-01 -2.576275E-02 -3.063657E-01 -9.385994E-02 -1.700639E-01 -2.892174E-02 +1.306499E-01 +1.706938E-02 +2.795459E-01 +7.814588E-02 +1.585507E-01 +2.513833E-02 0.000000E+00 0.000000E+00 0.000000E+00 @@ -345,119 +345,119 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -6.593197E-01 -4.347024E-01 -1.314196E-01 -1.727112E-02 -1.266446E+00 -1.603885E+00 -2.002491E-01 -4.009970E-02 -1.888709E+00 -3.567222E+00 -2.444522E-01 -5.975686E-02 -2.616078E+00 -6.843867E+00 -3.234935E-01 -1.046481E-01 -2.733300E+00 -7.470927E+00 -3.309500E-01 -1.095279E-01 -2.643656E+00 -6.988917E+00 -4.025014E-01 -1.620074E-01 -2.410643E+00 -5.811199E+00 -3.050040E-01 -9.302747E-02 -1.838012E+00 -3.378288E+00 -2.800764E-01 -7.844279E-02 -1.500033E+00 -2.250100E+00 -2.324765E-01 -5.404531E-02 -8.750096E-01 -7.656418E-01 -1.256919E-01 -1.579844E-02 +7.530237E-01 +5.670447E-01 +1.178984E-01 +1.390004E-02 +1.436984E+00 +2.064922E+00 +1.458395E-01 +2.126916E-02 +2.132240E+00 +4.546449E+00 +2.950109E-01 +8.703141E-02 +2.726356E+00 +7.433016E+00 +3.397288E-01 +1.154157E-01 +2.379700E+00 +5.662970E+00 +3.113206E-01 +9.692053E-02 +2.383471E+00 +5.680933E+00 +3.455611E-01 +1.194125E-01 +2.047271E+00 +4.191318E+00 +2.910986E-01 +8.473841E-02 +1.673107E+00 +2.799287E+00 +2.381996E-01 +5.673907E-02 +1.270672E+00 +1.614606E+00 +1.795241E-01 +3.222889E-02 +8.249906E-01 +6.806094E-01 +1.201397E-01 +1.443354E-02 cmfd indices 1.000000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.166297E+00 -1.148237E+00 -1.162472E+00 -1.187078E+00 -1.188411E+00 -1.194879E+00 -1.216739E+00 -1.216829E+00 -1.196596E+00 -1.199223E+00 -1.211817E+00 +1.184474E+00 +1.188170E+00 +1.165127E+00 +1.135010E+00 +1.145439E+00 +1.158451E+00 +1.154420E+00 +1.179615E+00 +1.197843E+00 +1.181252E+00 +1.186316E+00 cmfd entropy -3.215349E+00 -3.225577E+00 -3.223357E+00 -3.208828E+00 -3.211072E+00 -3.206578E+00 -3.195799E+00 -3.198236E+00 -3.220074E+00 -3.230249E+00 -3.238015E+00 +3.243654E+00 +3.244091E+00 +3.249203E+00 +3.249952E+00 +3.245538E+00 +3.240838E+00 +3.238919E+00 +3.223131E+00 +3.216002E+00 +3.220324E+00 +3.224804E+00 cmfd balance -2.07468E-03 -2.39687E-03 -1.51020E-03 -2.07618E-03 -1.89367E-03 -2.00902E-03 -2.54856E-03 -2.43636E-03 -2.48527E-03 -3.07775E-03 -3.37967E-03 +4.21104E-03 +1.38052E-03 +1.34642E-03 +2.39255E-03 +2.07426E-03 +1.27927E-03 +2.26249E-03 +2.72103E-03 +2.71504E-03 +2.19156E-03 +1.91989E-03 cmfd dominance ratio -5.505E-01 -5.558E-01 -5.584E-01 -5.477E-01 -5.477E-01 -5.426E-01 -5.335E-01 -5.305E-01 -5.427E-01 +5.520E-01 +5.535E-01 +5.628E-01 +5.696E-01 +5.723E-01 +5.651E-01 +5.648E-01 +5.555E-01 +5.448E-01 +5.488E-01 5.484E-01 -5.465E-01 cmfd openmc source comparison -5.598628E-03 -1.162952E-02 -1.083004E-02 -1.037470E-02 -5.649750E-03 -5.137914E-03 -3.868209E-03 -1.208756E-02 -5.398131E-03 -8.119598E-03 -4.573105E-03 +1.713810E-03 +2.429503E-03 +4.526209E-03 +7.978149E-03 +3.320012E-03 +3.880041E-03 +1.580215E-02 +1.663452E-02 +1.878103E-02 +7.436342E-03 +3.724478E-03 cmfd source -4.219187E-02 -8.692096E-02 -1.061389E-01 -1.199181E-01 -1.377328E-01 -1.326161E-01 -1.345872E-01 -1.112871E-01 -7.569533E-02 -5.291175E-02 +4.688167E-02 +9.066303E-02 +1.150679E-01 +1.430247E-01 +1.370466E-01 +1.267615E-01 +1.244218E-01 +1.048774E-01 +7.083441E-02 +4.042108E-02 diff --git a/tests/regression_tests/cmfd_nofeed/results_true.dat b/tests/regression_tests/cmfd_nofeed/results_true.dat index 756aa45701..ea1a0230b9 100644 --- a/tests/regression_tests/cmfd_nofeed/results_true.dat +++ b/tests/regression_tests/cmfd_nofeed/results_true.dat @@ -1,117 +1,117 @@ k-combined: -1.172893E+00 8.095197E-03 +1.169143E+00 7.248013E-03 tally 1: -1.156995E+01 -1.347019E+01 -2.120053E+01 -4.531200E+01 -2.995993E+01 -8.997889E+01 -3.498938E+01 -1.226414E+02 -3.794510E+01 -1.442188E+02 -3.798115E+01 -1.446436E+02 -3.415954E+01 -1.171635E+02 -2.960329E+01 -8.785532E+01 -2.182231E+01 -4.782353E+01 -1.147379E+01 -1.321150E+01 +1.115130E+01 +1.249933E+01 +2.147608E+01 +4.643964E+01 +2.923697E+01 +8.598273E+01 +3.439175E+01 +1.189653E+02 +3.729169E+01 +1.395456E+02 +3.709975E+01 +1.380839E+02 +3.415420E+01 +1.168226E+02 +2.895696E+01 +8.419764E+01 +2.140382E+01 +4.646784E+01 +1.125483E+01 +1.275812E+01 tally 2: -2.345900E+01 -2.783672E+01 -1.627300E+01 -1.339749E+01 -4.127267E+01 -8.563716E+01 -2.934800E+01 -4.334439E+01 -5.742644E+01 -1.658158E+02 -4.092600E+01 -8.423842E+01 -6.740126E+01 -2.279288E+02 -4.796500E+01 -1.154602E+02 -7.340327E+01 -2.701349E+02 -5.235900E+01 -1.374186E+02 -7.387392E+01 -2.740829E+02 -5.277400E+01 -1.398425E+02 -6.733428E+01 -2.274414E+02 -4.800100E+01 -1.156206E+02 -5.794970E+01 -1.685421E+02 -4.124600E+01 -8.540686E+01 -4.257013E+01 -9.092401E+01 -3.014500E+01 -4.566369E+01 -2.300274E+01 -2.659051E+01 -1.613400E+01 -1.307448E+01 +2.275147E+01 +2.604974E+01 +1.587800E+01 +1.271197E+01 +4.191959E+01 +8.846441E+01 +2.966500E+01 +4.430669E+01 +5.699815E+01 +1.637359E+02 +4.037600E+01 +8.219353E+01 +6.656851E+01 +2.228703E+02 +4.718000E+01 +1.119941E+02 +7.334215E+01 +2.701014E+02 +5.223500E+01 +1.370726E+02 +7.394394E+01 +2.748295E+02 +5.273400E+01 +1.397334E+02 +6.931604E+01 +2.406234E+02 +4.949000E+01 +1.226886E+02 +5.799672E+01 +1.687992E+02 +4.142300E+01 +8.612116E+01 +4.320102E+01 +9.402138E+01 +3.068300E+01 +4.749148E+01 +2.295257E+01 +2.657057E+01 +1.606200E+01 +1.301453E+01 tally 3: -1.564900E+01 -1.239852E+01 -1.086873E+00 -6.047264E-02 -2.821700E+01 -4.006730E+01 -1.855830E+00 -1.755984E-01 -3.946300E+01 -7.833997E+01 -2.523142E+00 -3.210725E-01 -4.622500E+01 -1.072588E+02 -2.919735E+00 -4.340292E-01 -5.033400E+01 -1.270010E+02 -3.243022E+00 -5.318534E-01 -5.082400E+01 -1.297502E+02 -3.313898E+00 -5.546608E-01 -4.623700E+01 -1.072944E+02 -2.887766E+00 -4.203084E-01 -3.975000E+01 -7.934279E+01 -2.567158E+00 -3.333121E-01 -2.903500E+01 -4.237270E+01 -1.852070E+00 -1.733821E-01 -1.557800E+01 -1.219084E+01 -9.951884E-01 -5.121758E-02 +1.528200E+01 +1.177982E+01 +1.040687E+00 +5.586386E-02 +2.857900E+01 +4.113603E+01 +1.871515E+00 +1.774689E-01 +3.888800E+01 +7.626262E+01 +2.534433E+00 +3.274088E-01 +4.541400E+01 +1.037867E+02 +2.926509E+00 +4.319780E-01 +5.034500E+01 +1.273517E+02 +3.215813E+00 +5.215716E-01 +5.076100E+01 +1.295218E+02 +3.194424E+00 +5.165993E-01 +4.768100E+01 +1.138949E+02 +3.058255E+00 +4.732131E-01 +3.995800E+01 +8.015691E+01 +2.454286E+00 +3.044948E-01 +2.957000E+01 +4.412743E+01 +1.938963E+00 +1.908501E-01 +1.544000E+01 +1.202869E+01 +1.038073E+00 +5.487827E-02 tally 4: -3.111000E+00 -4.872850E-01 +3.086000E+00 +4.780160E-01 0.000000E+00 0.000000E+00 -2.794000E+00 -3.972060E-01 -5.520000E+00 -1.535670E+00 +2.739000E+00 +3.790990E-01 +5.478000E+00 +1.505928E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -128,14 +128,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.520000E+00 -1.535670E+00 -2.794000E+00 -3.972060E-01 -5.071000E+00 -1.305697E+00 -7.303000E+00 -2.685365E+00 +5.478000E+00 +1.505928E+00 +2.739000E+00 +3.790990E-01 +5.094000E+00 +1.310476E+00 +7.282000E+00 +2.669810E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -152,14 +152,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.303000E+00 -2.685365E+00 -5.071000E+00 -1.305697E+00 -7.015000E+00 -2.471981E+00 -8.545000E+00 -3.670539E+00 +7.282000E+00 +2.669810E+00 +5.094000E+00 +1.310476E+00 +6.987000E+00 +2.461137E+00 +8.487000E+00 +3.624153E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -176,14 +176,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.545000E+00 -3.670539E+00 -7.015000E+00 -2.471981E+00 -8.431000E+00 -3.570057E+00 -9.224000E+00 -4.268004E+00 +8.487000E+00 +3.624153E+00 +6.987000E+00 +2.461137E+00 +8.250000E+00 +3.421824E+00 +9.022000E+00 +4.088536E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -200,14 +200,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.224000E+00 -4.268004E+00 -8.431000E+00 -3.570057E+00 -9.217000E+00 -4.259749E+00 -9.305000E+00 -4.340149E+00 +9.022000E+00 +4.088536E+00 +8.250000E+00 +3.421824E+00 +9.300000E+00 +4.344142E+00 +9.262000E+00 +4.308946E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -224,14 +224,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.305000E+00 -4.340149E+00 -9.217000E+00 -4.259749E+00 -9.374000E+00 -4.415290E+00 -8.611000E+00 -3.718227E+00 +9.262000E+00 +4.308946E+00 +9.300000E+00 +4.344142E+00 +9.267000E+00 +4.310941E+00 +8.487000E+00 +3.613257E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -248,14 +248,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.611000E+00 -3.718227E+00 -9.374000E+00 -4.415290E+00 -8.515000E+00 -3.639945E+00 -7.056000E+00 -2.501658E+00 +8.487000E+00 +3.613257E+00 +9.267000E+00 +4.310941E+00 +8.682000E+00 +3.778194E+00 +7.123000E+00 +2.544345E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -272,14 +272,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.056000E+00 -2.501658E+00 -8.515000E+00 -3.639945E+00 -7.385000E+00 -2.737677E+00 -5.194000E+00 -1.356022E+00 +7.123000E+00 +2.544345E+00 +8.682000E+00 +3.778194E+00 +7.421000E+00 +2.773897E+00 +5.198000E+00 +1.369216E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -296,14 +296,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.194000E+00 -1.356022E+00 -7.385000E+00 -2.737677E+00 -5.436000E+00 -1.481654E+00 -2.756000E+00 -3.843860E-01 +5.198000E+00 +1.369216E+00 +7.421000E+00 +2.773897E+00 +5.567000E+00 +1.561013E+00 +2.763000E+00 +3.882750E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -320,12 +320,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.756000E+00 -3.843860E-01 -5.436000E+00 -1.481654E+00 -3.030000E+00 -4.643920E-01 +2.763000E+00 +3.882750E-01 +5.567000E+00 +1.561013E+00 +3.106000E+00 +4.853380E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -345,144 +345,144 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -1.564300E+01 -1.238861E+01 -2.090227E+00 -2.262627E-01 -2.821400E+01 -4.005826E+01 -3.870834E+00 -7.614623E-01 -3.945400E+01 -7.830326E+01 -5.290557E+00 -1.422339E+00 -4.621500E+01 -1.072116E+02 -6.144745E+00 -1.903309E+00 -5.032900E+01 -1.269756E+02 -6.867524E+00 -2.373593E+00 -5.081000E+01 -1.296784E+02 -6.456283E+00 -2.130767E+00 -4.623000E+01 -1.072613E+02 -5.931623E+00 -1.776451E+00 -3.974500E+01 -7.932288E+01 -5.339603E+00 -1.456812E+00 -2.902800E+01 -4.235232E+01 -4.102240E+00 -8.519551E-01 -1.557800E+01 -1.219084E+01 -2.137954E+00 -2.347770E-01 +1.527700E+01 +1.177204E+01 +2.285003E+00 +2.661382E-01 +2.857200E+01 +4.111506E+01 +4.126099E+00 +8.737996E-01 +3.887800E+01 +7.622094E+01 +5.121343E+00 +1.333837E+00 +4.540600E+01 +1.037492E+02 +6.160114E+00 +1.913665E+00 +5.033400E+01 +1.272949E+02 +6.859861E+00 +2.384476E+00 +5.075800E+01 +1.295055E+02 +6.929393E+00 +2.443364E+00 +4.767500E+01 +1.138658E+02 +6.385463E+00 +2.080293E+00 +3.995300E+01 +8.013651E+01 +5.620641E+00 +1.603844E+00 +2.956200E+01 +4.410395E+01 +3.952701E+00 +7.877105E-01 +1.543500E+01 +1.202080E+01 +2.203583E+00 +2.512936E-01 cmfd indices 1.000000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.129918E+00 -1.148352E+00 -1.143137E+00 -1.145795E+00 -1.147285E+00 -1.148588E+00 -1.148151E+00 -1.162118E+00 -1.165380E+00 -1.162851E+00 -1.163379E+00 -1.166986E+00 -1.167838E+00 -1.171743E+00 -1.170398E+00 -1.169773E+00 +1.169107E+00 +1.173852E+00 +1.181921E+00 +1.187733E+00 +1.185766E+00 +1.177020E+00 +1.181200E+00 +1.180088E+00 +1.180676E+00 +1.174948E+00 +1.174167E+00 +1.174935E+00 +1.169912E+00 +1.169058E+00 +1.170366E+00 +1.169774E+00 cmfd entropy -3.224769E+00 -3.222795E+00 -3.221174E+00 -3.222164E+00 -3.221025E+00 -3.220967E+00 -3.223497E+00 -3.219213E+00 -3.221679E+00 -3.222084E+00 -3.222281E+00 -3.222540E+00 -3.224614E+00 -3.224193E+00 -3.224925E+00 -3.224367E+00 +3.207640E+00 +3.212075E+00 +3.215463E+00 +3.219545E+00 +3.225225E+00 +3.227103E+00 +3.229048E+00 +3.228263E+00 +3.229077E+00 +3.229932E+00 +3.229351E+00 +3.228195E+00 +3.228493E+00 +3.227823E+00 +3.225830E+00 +3.227270E+00 cmfd balance -3.90454E-03 -4.33180E-03 -3.77057E-03 -3.16391E-03 -3.11765E-03 -2.59886E-03 -2.81060E-03 -3.25473E-03 -2.68544E-03 -2.01716E-03 -1.89350E-03 -1.79159E-03 -1.51353E-03 -1.48514E-03 -1.50207E-03 -1.44045E-03 +4.88208E-03 +4.63702E-03 +3.41158E-03 +2.99755E-03 +2.78360E-03 +3.31542E-03 +2.64344E-03 +2.04609E-03 +1.84340E-03 +1.65450E-03 +1.70816E-03 +1.69952E-03 +1.51417E-03 +1.32738E-03 +1.41435E-03 +1.01462E-03 cmfd dominance ratio -5.539E-01 -5.522E-01 -5.491E-01 -5.511E-01 -5.506E-01 -5.523E-01 -5.523E-01 +5.467E-01 +5.468E-01 +5.448E-01 +5.457E-01 +5.457E-01 +5.485E-01 +5.500E-01 +5.497E-01 +5.495E-01 +5.499E-01 +5.502E-01 +5.485E-01 +5.492E-01 +5.483E-01 5.473E-01 -5.478E-01 -5.461E-01 -5.462E-01 -5.459E-01 -5.475E-01 -5.463E-01 5.466E-01 -5.469E-01 cmfd openmc source comparison -9.875240E-03 -1.119358E-02 -8.513903E-03 -7.728971E-03 -5.993771E-03 -5.837301E-03 -4.861789E-03 -5.624038E-03 -4.297229E-03 -4.029732E-03 -3.669197E-03 -3.598834E-03 -3.023310E-03 -3.347346E-03 -2.943658E-03 -2.764986E-03 +9.587418E-03 +7.785087E-03 +6.798967E-03 +5.947641E-03 +4.980801E-03 +4.272665E-03 +4.073759E-03 +4.305612E-03 +3.572759E-03 +3.785830E-03 +3.766828E-03 +3.495462E-03 +3.017281E-03 +2.857633E-03 +2.858606E-03 +2.449010E-03 cmfd source -4.561921E-02 -7.896381E-02 -1.084687E-01 -1.264057E-01 -1.408942E-01 -1.438180E-01 -1.247333E-01 -1.100896E-01 -7.897187E-02 -4.203556E-02 +4.390084E-02 +7.966902E-02 +1.087889E-01 +1.263915E-01 +1.394331E-01 +1.383156E-01 +1.319970E-01 +1.051339E-01 +8.248244E-02 +4.388774E-02 diff --git a/tests/regression_tests/cmfd_restart/results_true.dat b/tests/regression_tests/cmfd_restart/results_true.dat index f5f22d9acd..1ef9624d4c 100644 --- a/tests/regression_tests/cmfd_restart/results_true.dat +++ b/tests/regression_tests/cmfd_restart/results_true.dat @@ -1,117 +1,117 @@ k-combined: -1.164262E+00 9.207592E-03 +1.181723E+00 9.944883E-03 tally 1: -1.156972E+01 -1.339924E+01 -2.136306E+01 -4.567185E+01 -2.859527E+01 -8.195821E+01 -3.470754E+01 -1.207851E+02 -3.766403E+01 -1.422263E+02 -3.778821E+01 -1.432660E+02 -3.573197E+01 -1.278854E+02 -2.849979E+01 -8.135515E+01 -2.073803E+01 -4.303374E+01 -1.112117E+01 -1.242944E+01 +1.169899E+01 +1.373251E+01 +2.142380E+01 +4.605511E+01 +2.968085E+01 +8.838716E+01 +3.561418E+01 +1.271206E+02 +3.777783E+01 +1.428817E+02 +3.805832E+01 +1.450213E+02 +3.439836E+01 +1.184892E+02 +2.852438E+01 +8.161896E+01 +2.088423E+01 +4.376204E+01 +1.076670E+01 +1.168108E+01 tally 2: -2.388054E+01 -2.875255E+01 -1.667791E+01 -1.403426E+01 -4.224771E+01 -8.942109E+01 -2.993088E+01 -4.490335E+01 -5.689839E+01 -1.625557E+02 -4.043633E+01 -8.212299E+01 -6.764024E+01 -2.297126E+02 -4.807902E+01 -1.161468E+02 -7.314835E+01 -2.684645E+02 -5.203584E+01 -1.359261E+02 -7.375727E+01 -2.733105E+02 -5.252944E+01 -1.386205E+02 -6.909571E+01 -2.397721E+02 -4.922548E+01 -1.217465E+02 -5.685978E+01 -1.621746E+02 -4.051938E+01 -8.237277E+01 -4.185562E+01 -8.784067E+01 -2.983570E+01 -4.467414E+01 -2.238373E+01 -2.520356E+01 -1.566758E+01 -1.234103E+01 +2.321241E+01 +2.702156E+01 +1.620912E+01 +1.317752E+01 +4.197404E+01 +8.845008E+01 +2.982666E+01 +4.469221E+01 +5.810089E+01 +1.695857E+02 +4.134123E+01 +8.588866E+01 +6.982488E+01 +2.447068E+02 +4.966939E+01 +1.238763E+02 +7.428421E+01 +2.767613E+02 +5.287955E+01 +1.403163E+02 +7.447402E+01 +2.785012E+02 +5.324628E+01 +1.423393E+02 +6.895164E+01 +2.381937E+02 +4.916366E+01 +1.211701E+02 +5.679253E+01 +1.617881E+02 +4.043125E+01 +8.204061E+01 +4.218618E+01 +8.933666E+01 +2.978592E+01 +4.456592E+01 +2.196426E+01 +2.435867E+01 +1.525576E+01 +1.175879E+01 tally 3: -1.609520E+01 -1.307542E+01 -1.033429E+00 -5.510889E-02 -2.877073E+01 -4.149542E+01 -1.964219E+00 -1.954692E-01 -3.896816E+01 -7.629752E+01 -2.484053E+00 -3.103733E-01 -4.634285E+01 -1.079367E+02 -2.974750E+00 -4.468223E-01 -5.007964E+01 -1.259202E+02 -3.181802E+00 -5.103621E-01 -5.058915E+01 -1.286193E+02 -3.249442E+00 -5.337712E-01 -4.744464E+01 -1.131026E+02 -3.067644E+00 -4.736335E-01 -3.900632E+01 -7.634433E+01 -2.443552E+00 -3.028060E-01 -2.874166E+01 -4.146375E+01 -1.810421E+00 -1.671667E-01 -1.509222E+01 -1.145579E+01 -1.014919E+00 -5.391053E-02 +1.563788E+01 +1.226528E+01 +1.053289E+00 +5.666942E-02 +2.870755E+01 +4.139654E+01 +1.838017E+00 +1.710528E-01 +3.978616E+01 +7.955764E+01 +2.560657E+00 +3.334449E-01 +4.780385E+01 +1.147770E+02 +3.139243E+00 +4.967628E-01 +5.106650E+01 +1.308704E+02 +3.170056E+00 +5.078920E-01 +5.123992E+01 +1.318586E+02 +3.211706E+00 +5.205979E-01 +4.729862E+01 +1.121695E+02 +3.068662E+00 +4.749488E-01 +3.898816E+01 +7.630564E+01 +2.516911E+00 +3.199696E-01 +2.865357E+01 +4.125742E+01 +1.852314E+00 +1.741116E-01 +1.467340E+01 +1.088460E+01 +9.268633E-01 +4.450662E-02 tally 4: -3.148231E+00 -4.974555E-01 +3.029754E+00 +4.613561E-01 0.000000E+00 0.000000E+00 -2.805439E+00 -3.982239E-01 -5.574031E+00 -1.561105E+00 +2.832501E+00 +4.049252E-01 +5.517243E+00 +1.527794E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -128,14 +128,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.574031E+00 -1.561105E+00 -2.805439E+00 -3.982239E-01 -5.171038E+00 -1.344877E+00 -7.372031E+00 -2.725420E+00 +5.517243E+00 +1.527794E+00 +2.832501E+00 +4.049252E-01 +5.117178E+00 +1.316972E+00 +7.333303E+00 +2.701677E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -152,14 +152,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.372031E+00 -2.725420E+00 -5.171038E+00 -1.344877E+00 -6.946847E+00 -2.424850E+00 -8.496610E+00 -3.627542E+00 +7.333303E+00 +2.701677E+00 +5.117178E+00 +1.316972E+00 +7.248464E+00 +2.641591E+00 +8.817788E+00 +3.905530E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -176,14 +176,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.496610E+00 -3.627542E+00 -6.946847E+00 -2.424850E+00 -8.479501E+00 -3.607280E+00 -9.261869E+00 -4.305912E+00 +8.817788E+00 +3.905530E+00 +7.248464E+00 +2.641591E+00 +8.646465E+00 +3.749847E+00 +9.460948E+00 +4.495388E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -200,14 +200,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.261869E+00 -4.305912E+00 -8.479501E+00 -3.607280E+00 -9.232858E+00 -4.278432E+00 -9.306384E+00 -4.348594E+00 +9.460948E+00 +4.495388E+00 +8.646465E+00 +3.749847E+00 +9.379341E+00 +4.415049E+00 +9.278640E+00 +4.320720E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -224,14 +224,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -9.306384E+00 -4.348594E+00 -9.232858E+00 -4.278432E+00 -9.299764E+00 -4.347828E+00 -8.511976E+00 -3.639893E+00 +9.278640E+00 +4.320720E+00 +9.379341E+00 +4.415049E+00 +9.465746E+00 +4.498591E+00 +8.656146E+00 +3.760545E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -248,14 +248,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -8.511976E+00 -3.639893E+00 -9.299764E+00 -4.347828E+00 -8.726086E+00 -3.819567E+00 -7.147277E+00 -2.562747E+00 +8.656146E+00 +3.760545E+00 +9.465746E+00 +4.498591E+00 +8.589782E+00 +3.700308E+00 +6.996002E+00 +2.456935E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -272,14 +272,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -7.147277E+00 -2.562747E+00 -8.726086E+00 -3.819567E+00 -7.218790E+00 -2.612243E+00 -5.018287E+00 -1.263077E+00 +6.996002E+00 +2.456935E+00 +8.589782E+00 +3.700308E+00 +7.352050E+00 +2.714808E+00 +5.105164E+00 +1.312559E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -296,14 +296,14 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -5.018287E+00 -1.263077E+00 -7.218790E+00 -2.612243E+00 -5.443494E+00 -1.487018E+00 -2.732334E+00 -3.773047E-01 +5.105164E+00 +1.312559E+00 +7.352050E+00 +2.714808E+00 +5.442756E+00 +1.486776E+00 +2.697305E+00 +3.675580E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -320,12 +320,12 @@ tally 4: 0.000000E+00 0.000000E+00 0.000000E+00 -2.732334E+00 -3.773047E-01 -5.443494E+00 -1.487018E+00 -3.044773E+00 -4.655756E-01 +2.697305E+00 +3.675580E-01 +5.442756E+00 +1.486776E+00 +3.017025E+00 +4.571443E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -345,144 +345,144 @@ tally 4: 0.000000E+00 0.000000E+00 tally 5: -1.609029E+01 -1.306718E+01 -2.230601E+00 -2.559496E-01 -2.876780E+01 -4.148686E+01 -3.835952E+00 -7.456562E-01 -3.895738E+01 -7.625344E+01 -4.841024E+00 -1.197335E+00 -4.633595E+01 -1.079043E+02 -6.236821E+00 -1.963311E+00 -5.007472E+01 -1.258967E+02 -6.749745E+00 -2.297130E+00 -5.058336E+01 -1.285894E+02 -6.727612E+00 -2.315656E+00 -4.743869E+01 -1.130735E+02 -6.338193E+00 -2.042159E+00 -3.899838E+01 -7.631289E+01 -5.187573E+00 -1.359733E+00 -2.873434E+01 -4.144233E+01 -3.815610E+00 -7.367619E-01 -1.509020E+01 -1.145268E+01 -2.125767E+00 -2.341894E-01 +1.563588E+01 +1.226217E+01 +2.209027E+00 +2.507131E-01 +2.870034E+01 +4.137550E+01 +3.726620E+00 +7.021948E-01 +3.977762E+01 +7.952285E+01 +5.304975E+00 +1.427333E+00 +4.779747E+01 +1.147456E+02 +6.528302E+00 +2.151715E+00 +5.105366E+01 +1.308037E+02 +6.986782E+00 +2.467487E+00 +5.123380E+01 +1.318264E+02 +6.845633E+00 +2.383542E+00 +4.729296E+01 +1.121433E+02 +6.252695E+00 +1.977351E+00 +3.898236E+01 +7.628315E+01 +5.461495E+00 +1.528579E+00 +2.864576E+01 +4.123538E+01 +3.857301E+00 +7.581323E-01 +1.467047E+01 +1.088031E+01 +2.277024E+00 +2.679801E-01 cmfd indices 1.000000E+01 1.000000E+00 1.000000E+00 1.000000E+00 k cmfd -1.129918E+00 -1.143848E+00 -1.147976E+00 -1.151534E+00 -1.152378E+00 -1.148219E+00 -1.150402E+00 -1.154647E+00 -1.156159E+00 -1.160048E+00 -1.167441E+00 -1.168163E+00 -1.168629E+00 -1.164120E+00 -1.165051E+00 -1.169177E+00 +1.169107E+00 +1.175079E+00 +1.173912E+00 +1.175368E+00 +1.174026E+00 +1.181745E+00 +1.182261E+00 +1.183559E+00 +1.178691E+00 +1.179222E+00 +1.179017E+00 +1.172979E+00 +1.175043E+00 +1.173458E+00 +1.174152E+00 +1.171451E+00 cmfd entropy -3.224769E+00 -3.225945E+00 -3.227421E+00 -3.226174E+00 -3.224429E+00 -3.227049E+00 -3.230710E+00 -3.230315E+00 -3.226825E+00 -3.226655E+00 -3.226588E+00 -3.224155E+00 -3.223246E+00 -3.222640E+00 -3.223920E+00 -3.222838E+00 +3.207640E+00 +3.210547E+00 +3.212218E+00 +3.209573E+00 +3.211619E+00 +3.212126E+00 +3.213163E+00 +3.214288E+00 +3.215737E+00 +3.213677E+00 +3.214925E+00 +3.215612E+00 +3.216708E+00 +3.221454E+00 +3.219048E+00 +3.218387E+00 cmfd balance -3.90454E-03 -4.08089E-03 -3.46511E-03 -4.09535E-03 -2.62009E-03 -2.23559E-03 -2.54033E-03 -2.12799E-03 -2.25864E-03 -1.85766E-03 -1.49916E-03 -1.63471E-03 -1.48377E-03 -1.59800E-03 -1.37354E-03 -1.32853E-03 +4.88208E-03 +4.75139E-03 +3.15783E-03 +3.67091E-03 +2.99797E-03 +2.91060E-03 +2.06576E-03 +1.83482E-03 +1.56292E-03 +1.58659E-03 +2.32986E-03 +1.47376E-03 +1.46673E-03 +1.22627E-03 +1.31963E-03 +1.26456E-03 cmfd dominance ratio -5.539E-01 -5.537E-01 -5.536E-01 -5.515E-01 -5.512E-01 -5.514E-01 -5.518E-01 -5.507E-01 -5.500E-01 -5.497E-01 -5.477E-01 -5.461E-01 -5.444E-01 -5.445E-01 -5.454E-01 +5.467E-01 +5.453E-01 +5.458E-01 +5.436E-01 +5.442E-01 +5.406E-01 +5.401E-01 +5.413E-01 +4.995E-01 +5.396E-01 +5.409E-01 +5.414E-01 +5.423E-01 +5.456E-01 +5.442E-01 5.441E-01 cmfd openmc source comparison -9.875240E-03 -1.106163E-02 -9.847628E-03 -6.065921E-03 -5.772039E-03 -4.615656E-03 -4.244331E-03 -3.694299E-03 -3.545814E-03 -3.213063E-03 -3.467537E-03 -3.383489E-03 -3.697591E-03 -3.937358E-03 -3.369124E-03 -3.190359E-03 +9.587418E-03 +8.150978E-03 +6.677661E-03 +6.334727E-03 +5.153692E-03 +5.082964E-03 +4.633153E-03 +4.037383E-03 +3.528742E-03 +4.559089E-03 +3.517370E-03 +3.306117E-03 +2.913809E-03 +1.906045E-03 +1.932794E-03 +1.711341E-03 cmfd source -4.360494E-02 -8.397599E-02 -1.074181E-01 -1.294531E-01 -1.385611E-01 -1.407934E-01 -1.325191E-01 -1.044311E-01 -7.660359E-02 -4.263941E-02 +4.496492E-02 +7.869674E-02 +1.100280E-01 +1.354045E-01 +1.363339E-01 +1.380533E-01 +1.314512E-01 +1.077480E-01 +7.847306E-02 +3.884630E-02 diff --git a/tests/regression_tests/complex_cell/results_true.dat b/tests/regression_tests/complex_cell/results_true.dat index 3ce3d7cbc7..ddedb07ff0 100644 --- a/tests/regression_tests/complex_cell/results_true.dat +++ b/tests/regression_tests/complex_cell/results_true.dat @@ -1,11 +1,11 @@ k-combined: -2.564169E-01 4.095378E-03 +2.603220E-01 1.429366E-03 tally 1: -2.607144E+00 -1.360414E+00 -2.681079E+00 -1.439354E+00 -9.627534E-01 -1.855496E-01 -1.123751E-01 +2.624819E+00 +1.378200E+00 +2.730035E+00 +1.492361E+00 +1.013707E+00 +2.055807E-01 +1.123257E-01 2.530233E-03 diff --git a/tests/regression_tests/confidence_intervals/results_true.dat b/tests/regression_tests/confidence_intervals/results_true.dat index 6a906d07e7..8ca2566249 100644 --- a/tests/regression_tests/confidence_intervals/results_true.dat +++ b/tests/regression_tests/confidence_intervals/results_true.dat @@ -1,5 +1,5 @@ k-combined: -2.759923E-01 6.988588E-03 +2.850178E-01 9.646334E-03 tally 1: -6.167984E+01 -4.772717E+02 +6.234169E+01 +4.884167E+02 diff --git a/tests/regression_tests/cpp_driver/driver.cpp b/tests/regression_tests/cpp_driver/driver.cpp index 48ed7f3171..a99c97b64e 100644 --- a/tests/regression_tests/cpp_driver/driver.cpp +++ b/tests/regression_tests/cpp_driver/driver.cpp @@ -15,14 +15,16 @@ using namespace openmc; -int main(int argc, char** argv) { +int main(int argc, char** argv) +{ #ifdef OPENMC_MPI MPI_Comm world {MPI_COMM_WORLD}; int err = openmc_init(argc, argv, &world); #else int err = openmc_init(argc, argv, nullptr); #endif - if (err) fatal_error(openmc_err_msg); + if (err) + fatal_error(openmc_err_msg); // create a new cell filter auto cell_filter = Filter::create(); @@ -30,7 +32,7 @@ int main(int argc, char** argv) { // add all cells to the cell filter std::vector cell_indices; for (auto& entry : openmc::model::cell_map) { - cell_indices.push_back(entry.second); + cell_indices.push_back(entry.second); } // enable distribcells offsets for all cells prepare_distribcell(&cell_indices); @@ -39,7 +41,6 @@ int main(int argc, char** argv) { std::sort(cell_indices.begin(), cell_indices.end()); cell_filter->set_cells(cell_indices); - // create a new tally auto tally = Tally::create(); std::vector filters = {cell_filter}; @@ -60,14 +61,19 @@ int main(int argc, char** argv) { } } - // set a higher temperature for only one of the lattice cells (ID is 4 in the model) + // set a higher temperature for only one of the lattice cells (ID is 4 in the + // model) model::cells[model::cell_map[4]]->set_temperature(400.0, 3, true); + // set the density of another lattice cell to 2 + model::cells[model::cell_map[4]]->set_density(2.0, 2, true); + // the summary file will be used to check that // temperatures were set correctly so clear // error output can be provided #ifdef OPENMC_MPI - if (openmc::mpi::master) openmc::write_summary(); + if (openmc::mpi::master) + openmc::write_summary(); #else openmc::write_summary(); #endif diff --git a/tests/regression_tests/cpp_driver/results_true.dat b/tests/regression_tests/cpp_driver/results_true.dat index c2b0b8d6f3..09f188db6b 100644 --- a/tests/regression_tests/cpp_driver/results_true.dat +++ b/tests/regression_tests/cpp_driver/results_true.dat @@ -1,13 +1,13 @@ k-combined: -1.933305E+00 1.300360E-02 +1.874924E+00 2.180236E-02 tally 1: -9.552846E+01 -1.019358E+03 -2.887973E+01 -9.308509E+01 -9.732441E+01 -1.059022E+03 -2.217326E+02 -5.486892E+03 -2.217326E+02 -5.486892E+03 +9.484447E+01 +1.002269E+03 +2.746252E+01 +8.406603E+01 +9.833099E+01 +1.076376E+03 +2.206380E+02 +5.417609E+03 +2.206380E+02 +5.417609E+03 diff --git a/tests/regression_tests/dagmc/external/main.cpp b/tests/regression_tests/dagmc/external/main.cpp index 3765cf79ae..e78ab03fa2 100644 --- a/tests/regression_tests/dagmc/external/main.cpp +++ b/tests/regression_tests/dagmc/external/main.cpp @@ -100,6 +100,9 @@ int main(int argc, char* argv[]) } } + // Finalize cell densities + openmc::finalize_cell_densities(); + // Run OpenMC openmc_err = openmc_run(); if (openmc_err) diff --git a/tests/regression_tests/dagmc/external/results_true.dat b/tests/regression_tests/dagmc/external/results_true.dat index cda6569378..9a6b481b7f 100644 --- a/tests/regression_tests/dagmc/external/results_true.dat +++ b/tests/regression_tests/dagmc/external/results_true.dat @@ -1,5 +1,5 @@ k-combined: -9.118190E-01 3.615552E-02 +1.083415E+00 5.991738E-02 tally 1: -8.430103E+00 -1.442878E+01 +8.862860E+00 +1.602117E+01 diff --git a/tests/regression_tests/dagmc/legacy/results_true.dat b/tests/regression_tests/dagmc/legacy/results_true.dat index cda6569378..9a6b481b7f 100644 --- a/tests/regression_tests/dagmc/legacy/results_true.dat +++ b/tests/regression_tests/dagmc/legacy/results_true.dat @@ -1,5 +1,5 @@ k-combined: -9.118190E-01 3.615552E-02 +1.083415E+00 5.991738E-02 tally 1: -8.430103E+00 -1.442878E+01 +8.862860E+00 +1.602117E+01 diff --git a/tests/regression_tests/dagmc/refl/results_true.dat b/tests/regression_tests/dagmc/refl/results_true.dat index 533c62a902..b49a4a7a49 100644 --- a/tests/regression_tests/dagmc/refl/results_true.dat +++ b/tests/regression_tests/dagmc/refl/results_true.dat @@ -1,5 +1,5 @@ k-combined: -2.035173E+00 3.967029E-02 +2.047107E+00 8.605767E-02 tally 1: -1.064492E+01 -2.301019E+01 +1.145034E+01 +2.636875E+01 diff --git a/tests/regression_tests/dagmc/universes/inputs_true.dat b/tests/regression_tests/dagmc/universes/inputs_true.dat index 2fa79d831e..be1a17383c 100644 --- a/tests/regression_tests/dagmc/universes/inputs_true.dat +++ b/tests/regression_tests/dagmc/universes/inputs_true.dat @@ -48,6 +48,14 @@ 100 10 5 + + + -10.0 -10.0 -24.0 10.0 10.0 24.0 + + + true + + false diff --git a/tests/regression_tests/dagmc/universes/results_true.dat b/tests/regression_tests/dagmc/universes/results_true.dat index 76cbc9db0c..aacb7d1ab5 100644 --- a/tests/regression_tests/dagmc/universes/results_true.dat +++ b/tests/regression_tests/dagmc/universes/results_true.dat @@ -1,13 +1,13 @@ k-combined: -9.887663E-01 1.510336E-02 +9.719586E-01 3.630894E-02 tally 1: -4.340758E+00 -4.265459E+00 -4.712319E+00 -4.654778E+00 -4.151897E+00 -3.588090E+00 -2.965925E+00 -1.852746E+00 +4.463288E+00 +4.136647E+00 +4.769631E+00 +4.622840E+00 +4.315273E+00 +3.871129E+00 +4.091804E+00 +3.582192E+00 0.000000E+00 0.000000E+00 diff --git a/tests/regression_tests/dagmc/universes/test.py b/tests/regression_tests/dagmc/universes/test.py index 057a7b0d47..d68c6b11cf 100644 --- a/tests/regression_tests/dagmc/universes/test.py +++ b/tests/regression_tests/dagmc/universes/test.py @@ -11,81 +11,87 @@ pytestmark = pytest.mark.skipif( reason="DAGMC CAD geometry is not enabled.") -class DAGMCUniverseTest(PyAPITestHarness): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) +@pytest.fixture +def pin_lattice_model(): + ### MATERIALS ### + fuel = openmc.Material(name='no-void fuel') + fuel.set_density('g/cc', 10.29769) + fuel.add_nuclide('U234', 0.93120485) + fuel.add_nuclide('U235', 0.00055815) + fuel.add_nuclide('U238', 0.022408) + fuel.add_nuclide('O16', 0.045829) - ### MATERIALS ### - fuel = openmc.Material(name='no-void fuel') - fuel.set_density('g/cc', 10.29769) - fuel.add_nuclide('U234', 0.93120485) - fuel.add_nuclide('U235', 0.00055815) - fuel.add_nuclide('U238', 0.022408) - fuel.add_nuclide('O16', 0.045829) + cladding = openmc.Material(name='clad') + cladding.set_density('g/cc', 6.55) + cladding.add_nuclide('Zr90', 0.021827) + cladding.add_nuclide('Zr91', 0.00476) + cladding.add_nuclide('Zr92', 0.0072758) + cladding.add_nuclide('Zr94', 0.0073734) + cladding.add_nuclide('Zr96', 0.0011879) - cladding = openmc.Material(name='clad') - cladding.set_density('g/cc', 6.55) - cladding.add_nuclide('Zr90', 0.021827) - cladding.add_nuclide('Zr91', 0.00476) - cladding.add_nuclide('Zr92', 0.0072758) - cladding.add_nuclide('Zr94', 0.0073734) - cladding.add_nuclide('Zr96', 0.0011879) + water = openmc.Material(name='water') + water.set_density('g/cc', 0.740582) + water.add_nuclide('H1', 0.049457) + water.add_nuclide('O16', 0.024672) + water.add_nuclide('B10', 8.0042e-06) + water.add_nuclide('B11', 3.2218e-05) + water.add_s_alpha_beta('c_H_in_H2O') - water = openmc.Material(name='water') - water.set_density('g/cc', 0.740582) - water.add_nuclide('H1', 0.049457) - water.add_nuclide('O16', 0.024672) - water.add_nuclide('B10', 8.0042e-06) - water.add_nuclide('B11', 3.2218e-05) - water.add_s_alpha_beta('c_H_in_H2O') + model = openmc.Model() + model.materials = openmc.Materials([fuel, cladding, water]) - self._model.materials = openmc.Materials([fuel, cladding, water]) + ### GEOMETRY ### + # create the DAGMC universe + pincell_univ = openmc.DAGMCUniverse(filename='dagmc.h5m', auto_geom_ids=True) - ### GEOMETRY ### - # create the DAGMC universe - pincell_univ = openmc.DAGMCUniverse(filename='dagmc.h5m', auto_geom_ids=True) + # creates another DAGMC universe, this time with within a bounded cell + bound_pincell_universe = openmc.DAGMCUniverse(filename='dagmc.h5m').bounded_universe() + # uses the bound_dag_cell as the root argument to test the type checks in openmc.Geometry + bound_pincell_geometry = openmc.Geometry(root=bound_pincell_universe) + # assigns the bound_dag_geometry to the model to test the type checks in model.Geometry setter + model.geometry = bound_pincell_geometry - # creates another DAGMC universe, this time with within a bounded cell - bound_pincell_universe = openmc.DAGMCUniverse(filename='dagmc.h5m').bounded_universe() - # uses the bound_dag_cell as the root argument to test the type checks in openmc.Geometry - bound_pincell_geometry = openmc.Geometry(root=bound_pincell_universe) - # assigns the bound_dag_geometry to the model to test the type checks in model.Geometry setter - self._model.geometry = bound_pincell_geometry + # create a 2 x 2 lattice using the DAGMC pincell + pitch = np.asarray((24.0, 24.0)) + lattice = openmc.RectLattice() + lattice.pitch = pitch + lattice.universes = [[pincell_univ] * 2] * 2 + lattice.lower_left = -pitch - # create a 2 x 2 lattice using the DAGMC pincell - pitch = np.asarray((24.0, 24.0)) - lattice = openmc.RectLattice() - lattice.pitch = pitch - lattice.universes = [[pincell_univ] * 2] * 2 - lattice.lower_left = -pitch + left = openmc.XPlane(x0=-pitch[0], name='left', boundary_type='reflective') + right = openmc.XPlane(x0=pitch[0], name='right', boundary_type='reflective') + front = openmc.YPlane(y0=-pitch[1], name='front', boundary_type='reflective') + back = openmc.YPlane(y0=pitch[1], name='back', boundary_type='reflective') + # clip the DAGMC geometry at +/- 10 cm w/ CSG planes + bottom = openmc.ZPlane(z0=-10.0, name='bottom', boundary_type='reflective') + top = openmc.ZPlane(z0=10.0, name='top', boundary_type='reflective') - left = openmc.XPlane(x0=-pitch[0], name='left', boundary_type='reflective') - right = openmc.XPlane(x0=pitch[0], name='right', boundary_type='reflective') - front = openmc.YPlane(y0=-pitch[1], name='front', boundary_type='reflective') - back = openmc.YPlane(y0=pitch[1], name='back', boundary_type='reflective') - # clip the DAGMC geometry at +/- 10 cm w/ CSG planes - bottom = openmc.ZPlane(z0=-10.0, name='bottom', boundary_type='reflective') - top = openmc.ZPlane(z0=10.0, name='top', boundary_type='reflective') + bounding_region = +left & -right & +front & -back & +bottom & -top + bounding_cell = openmc.Cell(fill=lattice, region=bounding_region) - bounding_region = +left & -right & +front & -back & +bottom & -top - bounding_cell = openmc.Cell(fill=lattice, region=bounding_region) + model.geometry = openmc.Geometry([bounding_cell]) - self._model.geometry = openmc.Geometry([bounding_cell]) + # add a cell instance tally + tally = openmc.Tally(name='cell instance tally') + # using scattering + cell_instance_filter = openmc.CellInstanceFilter(((4, 0), (4, 1), (4, 2), (4, 3), (4, 4))) + tally.filters = [cell_instance_filter] + tally.scores = ['scatter'] + model.tallies = [tally] - # add a cell instance tally - tally = openmc.Tally(name='cell instance tally') - # using scattering - cell_instance_filter = openmc.CellInstanceFilter(((4, 0), (4, 1), (4, 2), (4, 3), (4, 4))) - tally.filters = [cell_instance_filter] - tally.scores = ['scatter'] - self._model.tallies = [tally] + # settings + model.settings.particles = 100 + model.settings.batches = 10 + model.settings.inactive = 5 + model.settings.output = {'summary' : False} + model.settings.source = openmc.IndependentSource( + space=openmc.stats.Box((-10., -10., -24.), (10., 10., 24.)), + constraints={'fissionable': True}, + ) - # settings - self._model.settings.particles = 100 - self._model.settings.batches = 10 - self._model.settings.inactive = 5 - self._model.settings.output = {'summary' : False} + return model -def test_univ(): - harness = DAGMCUniverseTest('statepoint.10.h5', model=openmc.Model()) + +def test_univ(pin_lattice_model): + harness = PyAPITestHarness('statepoint.10.h5', model=pin_lattice_model) harness.main() diff --git a/tests/regression_tests/density/results_true.dat b/tests/regression_tests/density/results_true.dat index c8e3b1ede8..42dc0c19f3 100644 --- a/tests/regression_tests/density/results_true.dat +++ b/tests/regression_tests/density/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.110057E+00 1.303260E-02 +1.082191E+00 3.064029E-02 diff --git a/tests/regression_tests/deplete_no_transport/test_reference_coupled_days.h5 b/tests/regression_tests/deplete_no_transport/test_reference_coupled_days.h5 index 5fdc656d97..9757c9791b 100644 Binary files a/tests/regression_tests/deplete_no_transport/test_reference_coupled_days.h5 and b/tests/regression_tests/deplete_no_transport/test_reference_coupled_days.h5 differ diff --git a/tests/regression_tests/deplete_no_transport/test_reference_coupled_hours.h5 b/tests/regression_tests/deplete_no_transport/test_reference_coupled_hours.h5 index 65bfc19a91..08d4d3eedc 100644 Binary files a/tests/regression_tests/deplete_no_transport/test_reference_coupled_hours.h5 and b/tests/regression_tests/deplete_no_transport/test_reference_coupled_hours.h5 differ diff --git a/tests/regression_tests/deplete_no_transport/test_reference_coupled_minutes.h5 b/tests/regression_tests/deplete_no_transport/test_reference_coupled_minutes.h5 index 294cb589f7..41b5235bb6 100644 Binary files a/tests/regression_tests/deplete_no_transport/test_reference_coupled_minutes.h5 and b/tests/regression_tests/deplete_no_transport/test_reference_coupled_minutes.h5 differ diff --git a/tests/regression_tests/deplete_no_transport/test_reference_coupled_months.h5 b/tests/regression_tests/deplete_no_transport/test_reference_coupled_months.h5 index ed62e46104..53d80aff0f 100644 Binary files a/tests/regression_tests/deplete_no_transport/test_reference_coupled_months.h5 and b/tests/regression_tests/deplete_no_transport/test_reference_coupled_months.h5 differ diff --git a/tests/regression_tests/deplete_no_transport/test_reference_fission_q.h5 b/tests/regression_tests/deplete_no_transport/test_reference_fission_q.h5 index 9d32d89fe2..fe695692d6 100644 Binary files a/tests/regression_tests/deplete_no_transport/test_reference_fission_q.h5 and b/tests/regression_tests/deplete_no_transport/test_reference_fission_q.h5 differ diff --git a/tests/regression_tests/deplete_no_transport/test_reference_source_rate.h5 b/tests/regression_tests/deplete_no_transport/test_reference_source_rate.h5 index 3f3b4aa2ac..c9c7e9e363 100644 Binary files a/tests/regression_tests/deplete_no_transport/test_reference_source_rate.h5 and b/tests/regression_tests/deplete_no_transport/test_reference_source_rate.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_ext_source.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_ext_source.h5 index aa09e1bcf4..3ed38f3d6c 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_ext_source.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_ext_source.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_feed.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_feed.h5 index 284d5cbe4e..a147022322 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_feed.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_feed.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_removal.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_removal.h5 index 271af24103..3d48105d7b 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_removal.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_removal.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_transfer.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_transfer.h5 index 25365f6f3a..97855478ca 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_transfer.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_depletion_with_transfer.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_feed.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_feed.h5 index d080b44709..70a4a3d67a 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_feed.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_feed.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_removal.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_removal.h5 index 36f89e0090..b41218a9b2 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_removal.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_only_removal.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_ext_source.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_ext_source.h5 index f3b1b171eb..71bfdae112 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_ext_source.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_ext_source.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_transfer.h5 b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_transfer.h5 index b0ba997407..ccf92b3991 100644 Binary files a/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_transfer.h5 and b/tests/regression_tests/deplete_with_transfer_rates/ref_no_depletion_with_transfer.h5 differ diff --git a/tests/regression_tests/deplete_with_transfer_rates/test.py b/tests/regression_tests/deplete_with_transfer_rates/test.py index 4ad009d22e..9784a07f6b 100644 --- a/tests/regression_tests/deplete_with_transfer_rates/test.py +++ b/tests/regression_tests/deplete_with_transfer_rates/test.py @@ -40,10 +40,9 @@ def model(): geometry = openmc.Geometry([cell_f, cell_w]) settings = openmc.Settings() - settings.particles = 100 + settings.particles = 150 settings.inactive = 0 settings.batches = 10 - settings.seed = 1 return openmc.Model(geometry, materials, settings) diff --git a/tests/regression_tests/deplete_with_transport/last_step_reference_materials.xml b/tests/regression_tests/deplete_with_transport/last_step_reference_materials.xml index 242e2e7db5..2dca559925 100644 --- a/tests/regression_tests/deplete_with_transport/last_step_reference_materials.xml +++ b/tests/regression_tests/deplete_with_transport/last_step_reference_materials.xml @@ -4,993 +4,993 @@ - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + - - - - - - - - - + + + + + + + + + diff --git a/tests/regression_tests/deplete_with_transport/test_reference.h5 b/tests/regression_tests/deplete_with_transport/test_reference.h5 index e8478250be..cc616e7910 100644 Binary files a/tests/regression_tests/deplete_with_transport/test_reference.h5 and b/tests/regression_tests/deplete_with_transport/test_reference.h5 differ diff --git a/tests/regression_tests/diff_tally/results_true.dat b/tests/regression_tests/diff_tally/results_true.dat index 14729c8214..a88081b7c1 100644 --- a/tests/regression_tests/diff_tally/results_true.dat +++ b/tests/regression_tests/diff_tally/results_true.dat @@ -1,27 +1,27 @@ d_material,d_nuclide,d_variable,score,mean,std. dev. -3,,density,flux,-8.7368155e+00,1.5577812e+00 -3,,density,flux,-1.4842625e+01,2.2947682e+00 -1,,density,flux,-2.0922686e-01,4.9935069e-02 -1,,density,flux,-3.4582490e-01,1.7454386e-01 -1,O16,nuclide_density,flux,1.1301782e+01,2.2440389e+01 -1,O16,nuclide_density,flux,3.2481563e+00,3.2342885e+01 -1,U235,nuclide_density,flux,-1.5048665e+03,5.9045681e+02 -1,U235,nuclide_density,flux,-1.6193231e+03,9.7230073e+02 -1,,temperature,flux,-1.0891931e-04,2.3076849e-04 -1,,temperature,flux,-1.3563853e-04,2.0952841e-04 -3,,density,total,-3.9155374e+00,5.4862771e-01 -3,,density,absorption,-4.9210534e-01,3.4700776e-02 -3,,density,scatter,-3.4234320e+00,5.1443821e-01 -3,,density,fission,-3.1088949e-01,8.0540906e-02 -3,,density,nu-fission,-7.6137447e-01,1.9548876e-01 -3,,density,total,-3.8615156e-01,1.0175701e-01 -3,,density,absorption,-3.4458071e-01,9.3381192e-02 -3,,density,scatter,-4.1570854e-02,8.6942039e-03 -3,,density,fission,-2.9864832e-01,8.4711885e-02 -3,,density,nu-fission,-7.2797006e-01,2.0640455e-01 -3,,density,total,1.0491251e+01,9.1787723e+00 -3,,density,absorption,2.9819000e-01,3.0887165e-01 -3,,density,scatter,1.0193061e+01,8.8715930e+00 +3,,density,flux,-9.2822822e+00,1.6880315e+00 +3,,density,flux,-2.0591270e+01,3.0043477e+00 +1,,density,flux,-2.9765141e-01,5.2949290e-02 +1,,density,flux,-4.0095723e-01,1.1716168e-01 +1,O16,nuclide_density,flux,-1.4245069e+01,6.3028710e+00 +1,O16,nuclide_density,flux,-2.5098326e+01,5.7525657e+00 +1,U235,nuclide_density,flux,-2.1513560e+03,6.7234014e+02 +1,U235,nuclide_density,flux,-2.4222736e+03,7.7715656e+02 +1,,temperature,flux,-1.1242141e-04,8.1692839e-05 +1,,temperature,flux,6.1357500e-06,7.4812624e-05 +3,,density,total,-4.2880614e+00,7.0021512e-01 +3,,density,absorption,-5.0324695e-01,4.9079615e-02 +3,,density,scatter,-3.7848144e+00,6.5868388e-01 +3,,density,fission,-2.7732455e-01,6.4647487e-02 +3,,density,nu-fission,-6.7990282e-01,1.5692707e-01 +3,,density,total,-3.8043572e-01,9.6222860e-02 +3,,density,absorption,-3.3518262e-01,8.6810436e-02 +3,,density,scatter,-4.5253106e-02,9.5205809e-03 +3,,density,fission,-2.6400028e-01,6.8175997e-02 +3,,density,nu-fission,-6.4353897e-01,1.6613026e-01 +3,,density,total,-3.2070285e-01,2.8328990e+00 +3,,density,absorption,2.5921007e-02,2.2141808e-02 +3,,density,scatter,-3.4662385e-01,2.8171749e+00 3,,density,fission,0.0000000e+00,0.0000000e+00 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 3,,density,total,0.0000000e+00,0.0000000e+00 @@ -29,19 +29,19 @@ d_material,d_nuclide,d_variable,score,mean,std. dev. 3,,density,scatter,0.0000000e+00,0.0000000e+00 3,,density,fission,0.0000000e+00,0.0000000e+00 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 -1,,density,total,4.7128871e-01,5.7197095e-02 -1,,density,absorption,2.1981833e-02,1.7427232e-02 -1,,density,scatter,4.4930687e-01,4.0030120e-02 -1,,density,fission,6.0712328e-03,1.3719512e-02 -1,,density,nu-fission,1.5474650e-02,3.3437103e-02 -1,,density,total,1.2203418e-02,1.5798741e-02 -1,,density,absorption,7.0228085e-03,1.5294984e-02 -1,,density,scatter,5.1806097e-03,5.0807003e-04 -1,,density,fission,4.1074923e-03,1.3759608e-02 -1,,density,nu-fission,1.0046778e-02,3.3529881e-02 -1,,density,total,-5.2100220e-01,2.7618985e-01 -1,,density,absorption,-1.1039048e-02,6.2043549e-03 -1,,density,scatter,-5.0996315e-01,2.7027892e-01 +1,,density,total,4.0321800e-01,3.5365140e-02 +1,,density,absorption,4.8426976e-03,8.3784362e-03 +1,,density,scatter,3.9837530e-01,2.9076664e-02 +1,,density,fission,-5.4793062e-03,7.1720201e-03 +1,,density,nu-fission,-1.2481616e-02,1.7542625e-02 +1,,density,total,-3.6063021e-03,7.1950060e-03 +1,,density,absorption,-8.2666439e-03,6.9274342e-03 +1,,density,scatter,4.6603417e-03,4.1803496e-04 +1,,density,fission,-7.6315741e-03,7.1774359e-03 +1,,density,nu-fission,-1.8551295e-02,1.7493106e-02 +1,,density,total,-6.2852725e-01,1.9776006e-01 +1,,density,absorption,-1.4850233e-02,4.3086611e-03 +1,,density,scatter,-6.1367701e-01,1.9363188e-01 1,,density,fission,0.0000000e+00,0.0000000e+00 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 1,,density,total,0.0000000e+00,0.0000000e+00 @@ -49,19 +49,19 @@ d_material,d_nuclide,d_variable,score,mean,std. dev. 1,,density,scatter,0.0000000e+00,0.0000000e+00 1,,density,fission,0.0000000e+00,0.0000000e+00 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 -1,O16,nuclide_density,total,5.5744608e+01,1.3811361e+01 -1,O16,nuclide_density,absorption,2.1284059e+00,3.3353171e+00 -1,O16,nuclide_density,scatter,5.3616202e+01,1.0494347e+01 -1,O16,nuclide_density,fission,6.6058671e-01,1.9263932e+00 -1,O16,nuclide_density,nu-fission,1.5973305e+00,4.6977280e+00 -1,O16,nuclide_density,total,9.8433784e-01,2.4053581e+00 -1,O16,nuclide_density,absorption,9.1167507e-01,2.2565683e+00 -1,O16,nuclide_density,scatter,7.2662768e-02,1.5198625e-01 -1,O16,nuclide_density,fission,6.8845700e-01,1.9451444e+00 -1,O16,nuclide_density,nu-fission,1.6768628e+00,4.7395897e+00 -1,O16,nuclide_density,total,8.1604245e+00,3.7248338e+01 -1,O16,nuclide_density,absorption,2.4903834e-01,4.5609671e-01 -1,O16,nuclide_density,scatter,7.9113862e+00,3.6811434e+01 +1,O16,nuclide_density,total,4.2608989e+01,2.6322158e+00 +1,O16,nuclide_density,absorption,-5.9877963e-01,4.2139216e-01 +1,O16,nuclide_density,scatter,4.3207769e+01,2.5312922e+00 +1,O16,nuclide_density,fission,-9.2838585e-01,4.3505041e-01 +1,O16,nuclide_density,nu-fission,-2.2834786e+00,1.0634300e+00 +1,O16,nuclide_density,total,-1.1195412e+00,3.3033730e-01 +1,O16,nuclide_density,absorption,-1.0650267e+00,3.2780477e-01 +1,O16,nuclide_density,scatter,-5.4514540e-02,2.4911965e-02 +1,O16,nuclide_density,fission,-8.6787386e-01,4.4270048e-01 +1,O16,nuclide_density,nu-fission,-2.1159252e+00,1.0787495e+00 +1,O16,nuclide_density,total,-3.1004750e+01,8.0776339e+00 +1,O16,nuclide_density,absorption,-5.0354237e-01,2.6144390e-01 +1,O16,nuclide_density,scatter,-3.0501208e+01,7.8176703e+00 1,O16,nuclide_density,fission,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,total,0.0000000e+00,0.0000000e+00 @@ -69,19 +69,19 @@ d_material,d_nuclide,d_variable,score,mean,std. dev. 1,O16,nuclide_density,scatter,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,fission,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 -1,U235,nuclide_density,total,-2.8654443e+02,3.3721470e+02 -1,U235,nuclide_density,absorption,2.0329180e+02,1.0522263e+02 -1,U235,nuclide_density,scatter,-4.8983623e+02,2.3237977e+02 -1,U235,nuclide_density,fission,2.6089045e+02,7.2578344e+01 -1,U235,nuclide_density,nu-fission,6.3692044e+02,1.7710877e+02 -1,U235,nuclide_density,total,4.5611633e+02,9.1682367e+01 -1,U235,nuclide_density,absorption,3.3831545e+02,8.5035501e+01 -1,U235,nuclide_density,scatter,1.1780088e+02,7.4128809e+00 -1,U235,nuclide_density,fission,2.6094461e+02,7.2102445e+01 -1,U235,nuclide_density,nu-fission,6.3705705e+02,1.7578950e+02 -1,U235,nuclide_density,total,-4.1342174e+03,1.4666097e+03 -1,U235,nuclide_density,absorption,-1.1329170e+02,3.5066579e+01 -1,U235,nuclide_density,scatter,-4.0209257e+03,1.4320401e+03 +1,U235,nuclide_density,total,-5.3578869e+02,3.4044374e+02 +1,U235,nuclide_density,absorption,2.0769087e+02,1.0873543e+02 +1,U235,nuclide_density,scatter,-7.4347956e+02,2.5966153e+02 +1,U235,nuclide_density,fission,2.8982867e+02,8.5348425e+01 +1,U235,nuclide_density,nu-fission,7.0772332e+02,2.0847449e+02 +1,U235,nuclide_density,total,4.8356107e+02,1.0276621e+02 +1,U235,nuclide_density,absorption,3.6683548e+02,9.6924085e+01 +1,U235,nuclide_density,scatter,1.1672558e+02,6.1773010e+00 +1,U235,nuclide_density,fission,2.8941699e+02,8.4475937e+01 +1,U235,nuclide_density,nu-fission,7.0639136e+02,2.0594285e+02 +1,U235,nuclide_density,total,-4.6777522e+03,1.5037171e+03 +1,U235,nuclide_density,absorption,-1.1585081e+02,3.8299177e+01 +1,U235,nuclide_density,scatter,-4.5619014e+03,1.4660078e+03 1,U235,nuclide_density,fission,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,total,0.0000000e+00,0.0000000e+00 @@ -89,19 +89,19 @@ d_material,d_nuclide,d_variable,score,mean,std. dev. 1,U235,nuclide_density,scatter,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,fission,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 -1,,temperature,total,5.3733744e-05,1.1785516e-04 -1,,temperature,absorption,-1.3987780e-05,1.9819801e-05 -1,,temperature,scatter,6.7721524e-05,9.9934995e-05 -1,,temperature,fission,-1.4882696e-05,1.6930666e-05 -1,,temperature,nu-fission,-3.6272065e-05,4.1250892e-05 -1,,temperature,total,-1.8119796e-05,2.2651409e-05 -1,,temperature,absorption,-1.7632076e-05,2.1825006e-05 -1,,temperature,scatter,-4.8771972e-07,1.4270133e-06 -1,,temperature,fission,-1.4890811e-05,1.6935899e-05 -1,,temperature,nu-fission,-3.6292215e-05,4.1263951e-05 -1,,temperature,total,-2.0776498e-04,2.9286552e-04 -1,,temperature,absorption,-3.9068381e-06,3.4912438e-06 -1,,temperature,scatter,-2.0385814e-04,2.8941307e-04 +1,,temperature,total,8.2134941e-05,1.3941434e-05 +1,,temperature,absorption,4.1502002e-05,3.5967068e-05 +1,,temperature,scatter,4.0632939e-05,2.6595574e-05 +1,,temperature,fission,3.1768469e-06,2.1582455e-05 +1,,temperature,nu-fission,7.7368345e-06,5.2593375e-05 +1,,temperature,total,1.0834099e-06,2.6707333e-05 +1,,temperature,absorption,1.6240165e-06,2.6844372e-05 +1,,temperature,scatter,-5.4060665e-07,2.5905412e-07 +1,,temperature,fission,3.1674458e-06,2.1588836e-05 +1,,temperature,nu-fission,7.7134913e-06,5.2609321e-05 +1,,temperature,total,9.5175179e-05,1.0549922e-04 +1,,temperature,absorption,4.3553888e-06,2.9261613e-06 +1,,temperature,scatter,9.0819790e-05,1.0362538e-04 1,,temperature,fission,0.0000000e+00,0.0000000e+00 1,,temperature,nu-fission,0.0000000e+00,0.0000000e+00 1,,temperature,total,0.0000000e+00,0.0000000e+00 @@ -109,68 +109,68 @@ d_material,d_nuclide,d_variable,score,mean,std. dev. 1,,temperature,scatter,0.0000000e+00,0.0000000e+00 1,,temperature,fission,0.0000000e+00,0.0000000e+00 1,,temperature,nu-fission,0.0000000e+00,0.0000000e+00 -3,,density,absorption,-4.5579543e-01,5.5532252e-02 -3,,density,absorption,-1.3526251e-02,1.3917291e-01 -1,,density,absorption,3.8695654e-02,1.5823093e-02 -1,,density,absorption,-1.8171150e-02,1.2999773e-03 -1,O16,nuclide_density,absorption,2.0992238e+00,2.7230754e+00 -1,O16,nuclide_density,absorption,-6.8956953e-01,3.3064989e-01 -1,U235,nuclide_density,absorption,2.5000417e+02,7.3334295e+01 -1,U235,nuclide_density,absorption,-1.0832917e+02,1.1517513e+01 -1,,temperature,absorption,1.1819459e-05,4.2090670e-05 -1,,temperature,absorption,-7.2302974e-06,1.5200299e-05 +3,,density,absorption,-5.4897740e-01,8.6529144e-02 +3,,density,absorption,1.3410763e-01,5.6235628e-02 +1,,density,absorption,2.9551566e-02,1.5215007e-02 +1,,density,absorption,-8.6382033e-03,5.5181454e-03 +1,O16,nuclide_density,absorption,2.7111116e-01,9.6922067e-01 +1,O16,nuclide_density,absorption,-7.3785997e-01,7.7252792e-01 +1,U235,nuclide_density,absorption,2.7361252e+02,1.6168134e+02 +1,U235,nuclide_density,absorption,-9.6885408e+01,1.9390948e+01 +1,,temperature,absorption,1.0054736e-05,4.2876538e-05 +1,,temperature,absorption,-1.8280609e-06,1.0133065e-05 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 -3,,density,scatter,-7.6858714e-01,3.2467801e-01 +3,,density,scatter,-5.4273849e-01,1.8081153e-01 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 -3,,density,scatter,3.2513857e-04,3.2513857e-04 -3,,density,nu-fission,-6.4963717e-01,1.8008086e-01 -3,,density,scatter,-2.6911548e+00,2.6336008e-01 -3,,density,nu-fission,-6.3014524e-01,1.8056453e-01 -3,,density,scatter,-3.4247012e-02,2.2649385e-02 +3,,density,scatter,1.3451827e-02,7.2870304e-03 +3,,density,nu-fission,-8.4200508e-01,3.4267126e-01 +3,,density,scatter,-3.1963455e+00,5.0369564e-01 +3,,density,nu-fission,-8.2934702e-01,3.4526131e-01 +3,,density,scatter,-7.0221960e-02,6.8067882e-02 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 -3,,density,scatter,1.0254549e+01,1.1054242e+01 +3,,density,scatter,1.1368387e+00,1.2091778e+00 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 3,,density,scatter,0.0000000e+00,0.0000000e+00 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 -3,,density,scatter,2.5022850e-01,2.1207285e+00 +3,,density,scatter,-1.5916491e+00,2.3551913e+00 3,,density,nu-fission,0.0000000e+00,0.0000000e+00 3,,density,scatter,0.0000000e+00,0.0000000e+00 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 -1,,density,scatter,8.1153611e-03,3.1226564e-02 +1,,density,scatter,-1.8655633e-03,2.4061808e-02 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 -1,,density,scatter,2.3728497e-04,9.7166041e-04 -1,,density,nu-fission,2.6248459e-02,3.9328080e-02 -1,,density,scatter,4.2447769e-01,1.2580873e-02 -1,,density,nu-fission,1.9600074e-02,3.8118776e-02 -1,,density,scatter,8.0978391e-03,2.6585488e-03 +1,,density,scatter,-1.7672807e-04,7.4702879e-04 +1,,density,nu-fission,4.4506944e-03,3.1478180e-02 +1,,density,scatter,3.7553200e-01,2.3420342e-02 +1,,density,nu-fission,-1.3567324e-03,3.0610901e-02 +1,,density,scatter,6.9330560e-03,4.6649873e-03 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 -1,,density,scatter,-3.8358302e-01,2.1525401e-01 +1,,density,scatter,-5.1560927e-01,1.4846253e-01 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 1,,density,scatter,0.0000000e+00,0.0000000e+00 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 -1,,density,scatter,-1.1924803e-01,9.1254221e-02 +1,,density,scatter,-1.0427977e-01,6.6396271e-02 1,,density,nu-fission,0.0000000e+00,0.0000000e+00 1,,density,scatter,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 -1,O16,nuclide_density,scatter,-1.6577061e-01,1.0793192e-01 -1,O16,nuclide_density,nu-fission,2.4995074e+00,5.7946039e+00 -1,O16,nuclide_density,scatter,5.5800956e-01,5.7675606e-01 +1,O16,nuclide_density,scatter,4.6587151e-02,9.0232672e-02 +1,O16,nuclide_density,nu-fission,-2.1162226e+00,2.4773842e+00 +1,O16,nuclide_density,scatter,6.6533325e-01,2.4693113e-01 1,O16,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,scatter,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 1,O16,nuclide_density,scatter,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 -1,U235,nuclide_density,scatter,5.8641633e+00,2.9488422e+00 -1,U235,nuclide_density,nu-fission,6.7444160e+02,1.1308014e+02 -1,U235,nuclide_density,scatter,1.1592472e+02,2.8886339e+01 +1,U235,nuclide_density,scatter,2.8979849e+01,2.0235325e+01 +1,U235,nuclide_density,nu-fission,8.1210341e+02,2.9252040e+02 +1,U235,nuclide_density,scatter,1.0307302e+02,4.4919960e+01 1,U235,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,scatter,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,nu-fission,0.0000000e+00,0.0000000e+00 1,U235,nuclide_density,scatter,0.0000000e+00,0.0000000e+00 1,,temperature,nu-fission,0.0000000e+00,0.0000000e+00 -1,,temperature,scatter,-7.7511866e-07,6.4761261e-07 -1,,temperature,nu-fission,-9.5466386e-05,3.1033330e-05 -1,,temperature,scatter,-2.7127084e-06,2.0699253e-07 +1,,temperature,scatter,-3.3782154e-06,3.8240314e-06 +1,,temperature,nu-fission,-6.8920903e-05,4.4384761e-05 +1,,temperature,scatter,1.6325729e-07,2.3270228e-06 1,,temperature,nu-fission,0.0000000e+00,0.0000000e+00 1,,temperature,scatter,0.0000000e+00,0.0000000e+00 1,,temperature,nu-fission,0.0000000e+00,0.0000000e+00 diff --git a/tests/regression_tests/distribmat/results_true.dat b/tests/regression_tests/distribmat/results_true.dat index af7b27fe72..166fd4662d 100644 --- a/tests/regression_tests/distribmat/results_true.dat +++ b/tests/regression_tests/distribmat/results_true.dat @@ -1,5 +1,5 @@ k-combined: -1.257344E+00 6.246360E-04 +1.246391E+00 1.414798E-02 Cell ID = 11 Name = diff --git a/tests/regression_tests/eigenvalue_genperbatch/results_true.dat b/tests/regression_tests/eigenvalue_genperbatch/results_true.dat index 3f7ea801a1..d171c5e87f 100644 --- a/tests/regression_tests/eigenvalue_genperbatch/results_true.dat +++ b/tests/regression_tests/eigenvalue_genperbatch/results_true.dat @@ -1,5 +1,5 @@ k-combined: -3.037481E-01 1.247474E-04 +2.975937E-01 1.293390E-03 tally 1: -3.211129E+01 -2.578396E+02 +3.173222E+01 +2.517683E+02 diff --git a/tests/regression_tests/eigenvalue_no_inactive/results_true.dat b/tests/regression_tests/eigenvalue_no_inactive/results_true.dat index 2b10216081..3ba7485a96 100644 --- a/tests/regression_tests/eigenvalue_no_inactive/results_true.dat +++ b/tests/regression_tests/eigenvalue_no_inactive/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.998284E-01 7.587782E-03 +3.072780E-01 6.882841E-03 diff --git a/tests/regression_tests/energy_grid/results_true.dat b/tests/regression_tests/energy_grid/results_true.dat index deab1e28be..3a042d882b 100644 --- a/tests/regression_tests/energy_grid/results_true.dat +++ b/tests/regression_tests/energy_grid/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.152586E-01 1.458068E-03 +3.218009E-01 4.687417E-03 diff --git a/tests/regression_tests/energy_laws/results_true.dat b/tests/regression_tests/energy_laws/results_true.dat index 534a299b56..7802786838 100644 --- a/tests/regression_tests/energy_laws/results_true.dat +++ b/tests/regression_tests/energy_laws/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.444000E+00 1.044626E-02 +2.458770E+00 9.422203E-03 diff --git a/tests/regression_tests/entropy/results_true.dat b/tests/regression_tests/entropy/results_true.dat index 1c8b2908bc..92d7f091df 100644 --- a/tests/regression_tests/entropy/results_true.dat +++ b/tests/regression_tests/entropy/results_true.dat @@ -1,13 +1,13 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 entropy: 7.688862E+00 -8.237960E+00 -8.314772E+00 -8.285254E+00 -8.271486E+00 -8.291355E+00 -8.253349E+00 -8.336726E+00 -8.284741E+00 -8.328102E+00 +8.226316E+00 +8.308355E+00 +8.243413E+00 +8.369345E+00 +8.304865E+00 +8.230689E+00 +8.338304E+00 +8.270630E+00 +8.386598E+00 diff --git a/tests/regression_tests/filter_cellfrom/results_true.dat b/tests/regression_tests/filter_cellfrom/results_true.dat index 5dd43e1f33..408a4965b1 100644 --- a/tests/regression_tests/filter_cellfrom/results_true.dat +++ b/tests/regression_tests/filter_cellfrom/results_true.dat @@ -1,53 +1,53 @@ k-combined: -9.640806E-02 2.655206E-03 +9.035025E-02 2.654309E-03 tally 1: -6.025999E+00 -3.635317E+00 +5.994069E+00 +3.594398E+00 tally 2: -4.523606E-04 -2.051522E-08 +4.559707E-04 +2.080739E-08 tally 3: -6.026452E+00 -3.635862E+00 +5.994525E+00 +3.594945E+00 tally 4: 0.000000E+00 0.000000E+00 tally 5: -1.530903E+00 -2.357048E-01 +1.473892E+00 +2.187509E-01 tally 6: -4.992646E-05 -2.600391E-10 +5.223875E-05 +2.992861E-10 tally 7: -1.530953E+00 -2.357201E-01 +1.473945E+00 +2.187663E-01 tally 8: -1.889115E+01 -3.574727E+01 +1.885798E+01 +3.558423E+01 tally 9: -7.556902E+00 -5.717680E+00 +7.467961E+00 +5.580255E+00 tally 10: -5.022871E-04 -2.531352E-08 +5.082094E-04 +2.584432E-08 tally 11: -7.557405E+00 -5.718440E+00 +7.468470E+00 +5.581014E+00 tally 12: -1.889115E+01 -3.574727E+01 +1.885798E+01 +3.558423E+01 tally 13: 0.000000E+00 0.000000E+00 tally 14: -2.663407E-04 -7.161725E-09 +2.739543E-04 +7.600983E-09 tally 15: -2.663407E-04 -7.161725E-09 +2.739543E-04 +7.600983E-09 tally 16: -8.025710E+01 -6.459305E+02 +7.881296E+01 +6.221087E+02 tally 17: -1.067059E+02 -1.140939E+03 +1.051397E+02 +1.106292E+03 diff --git a/tests/regression_tests/filter_cellinstance/results_true.dat b/tests/regression_tests/filter_cellinstance/results_true.dat index 079b7d3d25..1529865954 100644 --- a/tests/regression_tests/filter_cellinstance/results_true.dat +++ b/tests/regression_tests/filter_cellinstance/results_true.dat @@ -1,84 +1,84 @@ k-combined: -1.050139E+00 1.886614E-02 +1.097679E+00 8.074294E-03 tally 1: -9.724996E-02 -2.784804E-03 -1.146976E-01 -3.173782E-03 -1.698297E-01 -6.569993E-03 -1.158802E-01 -2.959280E-03 -2.533354E-01 -1.539905E-02 -1.908717E-01 -8.360058E-03 -1.738899E-01 -6.713494E-03 -3.172247E-01 -2.124184E-02 -1.363012E-01 -4.653519E-03 -1.698720E-01 -6.753819E-03 -9.934671E-02 -2.371660E-03 -6.038075E-02 -1.204656E-03 -1.038793E+01 -2.590382E+01 -2.841397E+01 -1.865709E+02 -2.786916E+01 -1.923869E+02 -1.085149E+01 -2.907194E+01 -1.038793E+01 -2.590382E+01 -2.841397E+01 -1.865709E+02 -2.786916E+01 -1.923869E+02 -1.085149E+01 -2.907194E+01 +7.125168E-02 +1.412152E-03 +1.254059E-01 +4.145686E-03 +1.609454E-01 +6.174116E-03 +1.444278E-01 +4.523981E-03 +3.363588E-01 +2.342988E-02 +1.751677E-01 +7.108034E-03 +1.384074E-01 +3.949804E-03 +2.856450E-01 +1.824185E-02 +9.680810E-02 +2.256338E-03 +1.691663E-01 +6.456530E-03 +1.160968E-01 +3.233815E-03 +7.334131E-02 +1.456688E-03 +1.168548E+01 +3.210924E+01 +2.860162E+01 +1.876786E+02 +2.857267E+01 +1.996553E+02 +1.050245E+01 +2.569953E+01 +1.168548E+01 +3.210924E+01 +2.860162E+01 +1.876786E+02 +2.857267E+01 +1.996553E+02 +1.050245E+01 +2.569953E+01 tally 2: -1.085149E+01 -2.907194E+01 -2.786916E+01 -1.923869E+02 -2.841397E+01 -1.865709E+02 -1.038793E+01 -2.590382E+01 -1.085149E+01 -2.907194E+01 -2.786916E+01 -1.923869E+02 -2.841397E+01 -1.865709E+02 -1.038793E+01 -2.590382E+01 -6.038075E-02 -1.204656E-03 -9.934671E-02 -2.371660E-03 -1.698720E-01 -6.753819E-03 -1.363012E-01 -4.653519E-03 -3.172247E-01 -2.124184E-02 -1.738899E-01 -6.713494E-03 -1.908717E-01 -8.360058E-03 -2.533354E-01 -1.539905E-02 -1.158802E-01 -2.959280E-03 -1.698297E-01 -6.569993E-03 -1.146976E-01 -3.173782E-03 -9.724996E-02 -2.784804E-03 +1.050245E+01 +2.569953E+01 +2.857267E+01 +1.996553E+02 +2.860162E+01 +1.876786E+02 +1.168548E+01 +3.210924E+01 +1.050245E+01 +2.569953E+01 +2.857267E+01 +1.996553E+02 +2.860162E+01 +1.876786E+02 +1.168548E+01 +3.210924E+01 +7.334131E-02 +1.456688E-03 +1.160968E-01 +3.233815E-03 +1.691663E-01 +6.456530E-03 +9.680810E-02 +2.256338E-03 +2.856450E-01 +1.824185E-02 +1.384074E-01 +3.949804E-03 +1.751677E-01 +7.108034E-03 +3.363588E-01 +2.342988E-02 +1.444278E-01 +4.523981E-03 +1.609454E-01 +6.174116E-03 +1.254059E-01 +4.145686E-03 +7.125168E-02 +1.412152E-03 diff --git a/tests/regression_tests/filter_distribcell/case-3/results_true.dat b/tests/regression_tests/filter_distribcell/case-3/results_true.dat index f30e858f06..77f2a2a873 100644 --- a/tests/regression_tests/filter_distribcell/case-3/results_true.dat +++ b/tests/regression_tests/filter_distribcell/case-3/results_true.dat @@ -1 +1 @@ -1d09084dc41305687d53d1e800fb3d0ac3949aa4e1cb0bfbb327d0ec1ad4b74fc97ee73da84b910529296b858aab9b8a5d0924d17ca2cc373625e1a9e197aa94 \ No newline at end of file +93c1efbc586874a715982d26609e9e79232de25a0b73093a00938d658440644f0ee6bb823902a6ef1b7a2a855e67b2da0a0e767ef550f9ffa4dea723e35af6f5 \ No newline at end of file diff --git a/tests/regression_tests/filter_distribcell/case-4/results_true.dat b/tests/regression_tests/filter_distribcell/case-4/results_true.dat index 228456c58b..ed84838ee4 100644 --- a/tests/regression_tests/filter_distribcell/case-4/results_true.dat +++ b/tests/regression_tests/filter_distribcell/case-4/results_true.dat @@ -1,12 +1,12 @@ k-combined: -1.068596E-01 INF +1.069692E-01 INF tally 1: 1.812612E-02 3.285561E-04 2.870442E-02 8.239436E-04 -1.807689E-02 -3.267740E-04 +1.824058E-02 +3.327188E-04 2.660796E-02 7.079835E-04 1.961572E-02 diff --git a/tests/regression_tests/filter_energyfun/results_true.dat b/tests/regression_tests/filter_energyfun/results_true.dat index 0aadac82e9..d64de58a69 100644 --- a/tests/regression_tests/filter_energyfun/results_true.dat +++ b/tests/regression_tests/filter_energyfun/results_true.dat @@ -1,10 +1,10 @@ energyfunction nuclide score mean std. dev. -0 448ee8dfd19c4f Am241 ((n,gamma) / (n,gamma)) 1.74e-01 6.83e-03 +0 448ee8dfd19c4f Am241 ((n,gamma) / (n,gamma)) 1.74e-01 5.44e-03 energyfunction nuclide score mean std. dev. -0 37e006ae6b2e74 Am241 (n,gamma) 8.16e-02 2.24e-03 +0 37e006ae6b2e74 Am241 (n,gamma) 8.35e-02 1.83e-03 energyfunction nuclide score mean std. dev. -0 b4e2ac84068d2d Am241 (n,gamma) 8.19e-02 2.25e-03 +0 b4e2ac84068d2d Am241 (n,gamma) 8.39e-02 1.84e-03 energyfunction nuclide score mean std. dev. -0 dacf88242512ea Am241 (n,gamma) 7.95e-02 2.19e-03 +0 dacf88242512ea Am241 (n,gamma) 8.14e-02 1.78e-03 energyfunction nuclide score mean std. dev. -0 fe168c70d9e078 Am241 (n,gamma) 1.06e-01 2.96e-03 +0 fe168c70d9e078 Am241 (n,gamma) 1.09e-01 2.41e-03 diff --git a/tests/regression_tests/filter_mesh/results_true.dat b/tests/regression_tests/filter_mesh/results_true.dat index a91eadb356..34e99c17e2 100644 --- a/tests/regression_tests/filter_mesh/results_true.dat +++ b/tests/regression_tests/filter_mesh/results_true.dat @@ -1 +1 @@ -bd55ee25094f9ad04fda4439f58ef0fed718632c88b9fde411a484dc624dedcd45dee643e14d8b107d8b92757737b8bb3d9a667de5482457d6d8346afffdf657 \ No newline at end of file +e07ed2bc8893c69721abf61b123336f1f6128a3bee6ec63b84d1f549f31707a74a6ce885091ccc0eac6b7f16f7cab39ede4784584c08825829e108de878ea5fb \ No newline at end of file diff --git a/tests/regression_tests/filter_musurface/results_true.dat b/tests/regression_tests/filter_musurface/results_true.dat index 39c9f2b925..4cdd7dbf50 100644 --- a/tests/regression_tests/filter_musurface/results_true.dat +++ b/tests/regression_tests/filter_musurface/results_true.dat @@ -1,11 +1,11 @@ k-combined: -1.157005E-01 7.587090E-03 +1.202075E-01 1.113188E-02 tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -8.770000E-01 -1.608710E-01 -3.909000E+00 -3.063035E+00 +9.230000E-01 +1.791510E-01 +3.869000E+00 +3.002523E+00 diff --git a/tests/regression_tests/filter_translations/results_true.dat b/tests/regression_tests/filter_translations/results_true.dat index d257d71a69..a63586d2dd 100644 --- a/tests/regression_tests/filter_translations/results_true.dat +++ b/tests/regression_tests/filter_translations/results_true.dat @@ -1,342 +1,342 @@ k-combined: -2.298294E-01 3.256961E-01 +7.729082E-01 3.775399E-02 tally 1: -4.880089E-02 -4.894233E-04 -8.221192E-02 -1.373712E-03 -5.205261E-02 -5.584673E-04 -1.272758E-01 -3.371623E-03 -3.599375E-01 -2.655645E-02 -1.377572E-01 -3.835778E-03 -1.646205E-01 -5.916595E-03 -3.806765E-01 -2.947576E-02 -1.470573E-01 -4.360385E-03 -5.568294E-02 -6.368003E-04 -6.775790E-02 -9.447074E-04 -5.580909E-02 -6.303584E-04 -6.674847E-02 -9.080853E-04 -9.747628E-02 -1.934325E-03 -6.824062E-02 -9.908844E-04 -1.891692E-01 -7.211874E-03 -5.976566E-01 -7.206211E-02 -1.805640E-01 -6.599680E-03 -2.114692E-01 -9.202185E-03 -6.514433E-01 -8.523087E-02 -1.905740E-01 -7.287607E-03 -7.633486E-02 -1.216488E-03 -1.117747E-01 -2.538705E-03 -7.438042E-02 -1.127109E-03 -7.356007E-02 -1.090617E-03 -1.161258E-01 -2.734941E-03 -6.745417E-02 -9.371031E-04 -2.153323E-01 -9.293477E-03 -9.414362E-01 -2.261845E-01 -2.016933E-01 -8.270477E-03 -2.370758E-01 -1.150628E-02 -9.973982E-01 -2.489516E-01 -2.152505E-01 -9.424546E-03 -7.502684E-02 -1.208304E-03 -1.244515E-01 -3.168682E-03 -7.515812E-02 -1.151397E-03 -6.355178E-02 -8.423316E-04 -1.040915E-01 -2.224064E-03 -6.902234E-02 -9.843766E-04 -1.978591E-01 -7.894161E-03 -5.162186E-01 -5.357742E-02 -1.897326E-01 -7.231935E-03 -1.827950E-01 -6.839560E-03 -5.780661E-01 -6.799910E-02 -1.881215E-01 -7.093746E-03 -6.083700E-02 -7.861240E-04 -9.978991E-02 -2.022733E-03 -6.004653E-02 -7.428556E-04 -4.951220E-02 -4.952385E-04 -7.401227E-02 -1.124154E-03 -5.151090E-02 -5.339359E-04 -1.356118E-01 -3.711749E-03 -3.400140E-01 -2.367518E-02 -1.385305E-01 -4.060592E-03 -1.438711E-01 -4.191824E-03 -3.276170E-01 -2.210924E-02 -1.279501E-01 -3.435254E-03 -4.852204E-02 -4.919417E-04 -7.229090E-02 -1.062894E-03 -4.344414E-02 -3.825354E-04 +5.296804E-02 +5.661701E-04 +8.356446E-02 +1.412139E-03 +5.041335E-02 +5.143568E-04 +1.299348E-01 +3.467618E-03 +3.929702E-01 +3.147038E-02 +1.379707E-01 +3.888484E-03 +1.405034E-01 +4.473799E-03 +3.785796E-01 +2.940585E-02 +1.422010E-01 +4.113723E-03 +5.647073E-02 +6.735251E-04 +7.911154E-02 +1.329137E-03 +5.160755E-02 +5.361448E-04 +6.669424E-02 +9.090832E-04 +1.008621E-01 +2.134534E-03 +6.808932E-02 +9.355993E-04 +1.873006E-01 +7.135961E-03 +6.221575E-01 +7.819842E-02 +1.856653E-01 +6.954762E-03 +2.014929E-01 +8.327845E-03 +5.853251E-01 +6.945708E-02 +1.709645E-01 +5.917124E-03 +7.214913E-02 +1.058962E-03 +1.027720E-01 +2.138475E-03 +6.099853E-02 +7.493941E-04 +6.892071E-02 +9.630680E-04 +1.035459E-01 +2.173883E-03 +6.973870E-02 +9.904237E-04 +2.125703E-01 +9.112659E-03 +9.012205E-01 +2.163546E-01 +2.066426E-01 +8.617414E-03 +2.258950E-01 +1.039607E-02 +9.476792E-01 +2.350708E-01 +2.225585E-01 +1.017898E-02 +7.111503E-02 +1.036847E-03 +1.117012E-01 +2.530040E-03 +6.870474E-02 +9.551035E-04 +5.738897E-02 +6.699030E-04 +9.522335E-02 +1.835769E-03 +6.570917E-02 +8.656870E-04 +1.945592E-01 +7.593336E-03 +5.514753E-01 +6.122981E-02 +2.144202E-01 +9.421739E-03 +1.971631E-01 +7.944046E-03 +6.088996E-01 +7.442954E-02 +1.965447E-01 +7.765628E-03 +7.005494E-02 +1.012891E-03 +1.010633E-01 +2.084095E-03 +6.145926E-02 +7.694351E-04 +4.999479E-02 +5.129164E-04 +7.238243E-02 +1.062921E-03 +4.902309E-02 +4.852193E-04 +1.324655E-01 +3.642431E-03 +3.305312E-01 +2.265726E-02 +1.332993E-01 +3.728385E-03 +1.547469E-01 +4.894837E-03 +3.625944E-01 +2.747313E-02 +1.435761E-01 +4.334405E-03 +5.789603E-02 +7.065383E-04 +7.589559E-02 +1.205386E-03 +5.210018E-02 +5.790843E-04 tally 2: -2.379877E-01 -1.141258E-02 -2.376600E-01 -1.137350E-02 -6.546514E-01 -8.852321E-02 -5.823862E-01 -6.810779E-02 -2.692631E-01 -1.479426E-02 -2.360469E-01 -1.124950E-02 -3.534788E-01 -2.528363E-02 -3.247931E-01 -2.160130E-02 -1.181513E+00 -2.959140E-01 -1.078874E+00 -2.467321E-01 -3.743375E-01 -2.859905E-02 -3.468123E-01 -2.427809E-02 -3.203903E-01 -2.109786E-02 -3.315547E-01 -2.216053E-02 -1.039077E+00 -2.294722E-01 -1.091786E+00 -2.572834E-01 -3.615960E-01 -2.678347E-02 -3.323317E-01 -2.226424E-02 -2.519726E-01 -1.279098E-02 -2.332385E-01 -1.101251E-02 -5.587247E-01 -6.293355E-02 -5.426859E-01 -6.010041E-02 -2.332981E-01 -1.097940E-02 -2.239951E-01 -1.043440E-02 +2.572693E-01 +1.338921E-02 +2.567576E-01 +1.333558E-02 +6.127899E-01 +7.781914E-02 +6.163075E-01 +7.600273E-02 +2.566545E-01 +1.372553E-02 +2.509744E-01 +1.286275E-02 +3.366720E-01 +2.282560E-02 +3.216175E-01 +2.103222E-02 +1.118187E+00 +2.697988E-01 +1.050003E+00 +2.391098E-01 +3.407360E-01 +2.332214E-02 +3.150094E-01 +2.006040E-02 +3.130223E-01 +2.001074E-02 +3.238651E-01 +2.101351E-02 +1.061186E+00 +2.372828E-01 +1.099461E+00 +2.597134E-01 +3.445524E-01 +2.400393E-02 +3.429055E-01 +2.372392E-02 +2.299776E-01 +1.064851E-02 +2.208901E-01 +9.829109E-03 +6.015657E-01 +7.399276E-02 +5.851229E-01 +7.165716E-02 +2.583609E-01 +1.364046E-02 +2.456380E-01 +1.257735E-02 tally 3: -4.880089E-02 -4.894233E-04 -8.221192E-02 -1.373712E-03 -5.205261E-02 -5.584673E-04 -1.272758E-01 -3.371623E-03 -3.599375E-01 -2.655645E-02 -1.377572E-01 -3.835778E-03 -1.646205E-01 -5.916595E-03 -3.806765E-01 -2.947576E-02 -1.470573E-01 -4.360385E-03 -5.568294E-02 -6.368003E-04 -6.775790E-02 -9.447074E-04 -5.580909E-02 -6.303584E-04 -6.674847E-02 -9.080853E-04 -9.747628E-02 -1.934325E-03 -6.824062E-02 -9.908844E-04 -1.891692E-01 -7.211874E-03 -5.976566E-01 -7.206211E-02 -1.805640E-01 -6.599680E-03 -2.114692E-01 -9.202185E-03 -6.514433E-01 -8.523087E-02 -1.905740E-01 -7.287607E-03 -7.633486E-02 -1.216488E-03 -1.117747E-01 -2.538705E-03 -7.438042E-02 -1.127109E-03 -7.356007E-02 -1.090617E-03 -1.161258E-01 -2.734941E-03 -6.745417E-02 -9.371031E-04 -2.153323E-01 -9.293477E-03 -9.414362E-01 -2.261845E-01 -2.016933E-01 -8.270477E-03 -2.370758E-01 -1.150628E-02 -9.973982E-01 -2.489516E-01 -2.152505E-01 -9.424546E-03 -7.502684E-02 -1.208304E-03 -1.244515E-01 -3.168682E-03 -7.515812E-02 -1.151397E-03 -6.355178E-02 -8.423316E-04 -1.040915E-01 -2.224064E-03 -6.902234E-02 -9.843766E-04 -1.978591E-01 -7.894161E-03 -5.162186E-01 -5.357742E-02 -1.897326E-01 -7.231935E-03 -1.827950E-01 -6.839560E-03 -5.780661E-01 -6.799910E-02 -1.881215E-01 -7.093746E-03 -6.083700E-02 -7.861240E-04 -9.978991E-02 -2.022733E-03 -6.004653E-02 -7.428556E-04 -4.951220E-02 -4.952385E-04 -7.401227E-02 -1.124154E-03 -5.151090E-02 -5.339359E-04 -1.356118E-01 -3.711749E-03 -3.400140E-01 -2.367518E-02 -1.385305E-01 -4.060592E-03 -1.438711E-01 -4.191824E-03 -3.276170E-01 -2.210924E-02 -1.279501E-01 -3.435254E-03 -4.852204E-02 -4.919417E-04 -7.229090E-02 -1.062894E-03 -4.344414E-02 -3.825354E-04 +5.296804E-02 +5.661701E-04 +8.356446E-02 +1.412139E-03 +5.041335E-02 +5.143568E-04 +1.299348E-01 +3.467618E-03 +3.929702E-01 +3.147038E-02 +1.379707E-01 +3.888484E-03 +1.405034E-01 +4.473799E-03 +3.785796E-01 +2.940585E-02 +1.422010E-01 +4.113723E-03 +5.647073E-02 +6.735251E-04 +7.911154E-02 +1.329137E-03 +5.160755E-02 +5.361448E-04 +6.669424E-02 +9.090832E-04 +1.008621E-01 +2.134534E-03 +6.808932E-02 +9.355993E-04 +1.873006E-01 +7.135961E-03 +6.221575E-01 +7.819842E-02 +1.856653E-01 +6.954762E-03 +2.014929E-01 +8.327845E-03 +5.853251E-01 +6.945708E-02 +1.709645E-01 +5.917124E-03 +7.214913E-02 +1.058962E-03 +1.027720E-01 +2.138475E-03 +6.099853E-02 +7.493941E-04 +6.892071E-02 +9.630680E-04 +1.035459E-01 +2.173883E-03 +6.973870E-02 +9.904237E-04 +2.125703E-01 +9.112659E-03 +9.012205E-01 +2.163546E-01 +2.066426E-01 +8.617414E-03 +2.258950E-01 +1.039607E-02 +9.476792E-01 +2.350708E-01 +2.225585E-01 +1.017898E-02 +7.111503E-02 +1.036847E-03 +1.117012E-01 +2.530040E-03 +6.870474E-02 +9.551035E-04 +5.738897E-02 +6.699030E-04 +9.522335E-02 +1.835769E-03 +6.570917E-02 +8.656870E-04 +1.945592E-01 +7.593336E-03 +5.514753E-01 +6.122981E-02 +2.144202E-01 +9.421739E-03 +1.971631E-01 +7.944046E-03 +6.088996E-01 +7.442954E-02 +1.965447E-01 +7.765628E-03 +7.005494E-02 +1.012891E-03 +1.010633E-01 +2.084095E-03 +6.145926E-02 +7.694351E-04 +4.999479E-02 +5.129164E-04 +7.238243E-02 +1.062921E-03 +4.902309E-02 +4.852193E-04 +1.324655E-01 +3.642431E-03 +3.305312E-01 +2.265726E-02 +1.332993E-01 +3.728385E-03 +1.547469E-01 +4.894837E-03 +3.625944E-01 +2.747313E-02 +1.435761E-01 +4.334405E-03 +5.789603E-02 +7.065383E-04 +7.589559E-02 +1.205386E-03 +5.210018E-02 +5.790843E-04 tally 4: -2.379877E-01 -1.141258E-02 -2.376600E-01 -1.137350E-02 -6.546514E-01 -8.852321E-02 -5.823862E-01 -6.810779E-02 -2.692631E-01 -1.479426E-02 -2.360469E-01 -1.124950E-02 -3.534788E-01 -2.528363E-02 -3.247931E-01 -2.160130E-02 -1.181513E+00 -2.959140E-01 -1.078874E+00 -2.467321E-01 -3.743375E-01 -2.859905E-02 -3.468123E-01 -2.427809E-02 -3.203903E-01 -2.109786E-02 -3.315547E-01 -2.216053E-02 -1.039077E+00 -2.294722E-01 -1.091786E+00 -2.572834E-01 -3.615960E-01 -2.678347E-02 -3.323317E-01 -2.226424E-02 -2.519726E-01 -1.279098E-02 -2.332385E-01 -1.101251E-02 -5.587247E-01 -6.293355E-02 -5.426859E-01 -6.010041E-02 -2.332981E-01 -1.097940E-02 -2.239951E-01 -1.043440E-02 +2.572693E-01 +1.338921E-02 +2.567576E-01 +1.333558E-02 +6.127899E-01 +7.781914E-02 +6.163075E-01 +7.600273E-02 +2.566545E-01 +1.372553E-02 +2.509744E-01 +1.286275E-02 +3.366720E-01 +2.282560E-02 +3.216175E-01 +2.103222E-02 +1.118187E+00 +2.697988E-01 +1.050003E+00 +2.391098E-01 +3.407360E-01 +2.332214E-02 +3.150094E-01 +2.006040E-02 +3.130223E-01 +2.001074E-02 +3.238651E-01 +2.101351E-02 +1.061186E+00 +2.372828E-01 +1.099461E+00 +2.597134E-01 +3.445524E-01 +2.400393E-02 +3.429055E-01 +2.372392E-02 +2.299776E-01 +1.064851E-02 +2.208901E-01 +9.829109E-03 +6.015657E-01 +7.399276E-02 +5.851229E-01 +7.165716E-02 +2.583609E-01 +1.364046E-02 +2.456380E-01 +1.257735E-02 diff --git a/tests/regression_tests/statepoint_batch/__init__.py b/tests/regression_tests/ifp/groupwise/__init__.py similarity index 100% rename from tests/regression_tests/statepoint_batch/__init__.py rename to tests/regression_tests/ifp/groupwise/__init__.py diff --git a/tests/regression_tests/ifp/groupwise/inputs_true.dat b/tests/regression_tests/ifp/groupwise/inputs_true.dat new file mode 100644 index 0000000000..6d7e20717b --- /dev/null +++ b/tests/regression_tests/ifp/groupwise/inputs_true.dat @@ -0,0 +1,43 @@ + + + + + + + + + + + + + + eigenvalue + 1000 + 20 + 5 + + + -10.0 -10.0 -10.0 10.0 10.0 10.0 + + + true + + + 5 + + + + 1 2 3 4 5 6 + + + ifp-time-numerator + + + 1 + ifp-beta-numerator + + + ifp-denominator + + + diff --git a/tests/regression_tests/ifp/groupwise/results_true.dat b/tests/regression_tests/ifp/groupwise/results_true.dat new file mode 100644 index 0000000000..ea66a8de3c --- /dev/null +++ b/tests/regression_tests/ifp/groupwise/results_true.dat @@ -0,0 +1,21 @@ +k-combined: +1.006559E+00 5.389391E-03 +tally 1: +9.109384E-08 +5.667165E-16 +tally 2: +3.000000E-03 +9.000000E-06 +0.000000E+00 +0.000000E+00 +2.100000E-02 +1.370000E-04 +2.800000E-02 +2.220000E-04 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +tally 3: +1.489000E+01 +1.480036E+01 diff --git a/tests/regression_tests/ifp/groupwise/test.py b/tests/regression_tests/ifp/groupwise/test.py new file mode 100644 index 0000000000..a1a0ebefb8 --- /dev/null +++ b/tests/regression_tests/ifp/groupwise/test.py @@ -0,0 +1,40 @@ +"""Test the Iterated Fission Probability (IFP) method to compute adjoint-weighted +kinetics parameters using dedicated tallies.""" + +import openmc +import pytest + +from tests.testing_harness import PyAPITestHarness + +@pytest.fixture() +def ifp_model(): + # Material + material = openmc.Material(name="core") + material.add_nuclide("U235", 1.0) + material.set_density('g/cm3', 16.0) + + # Geometry + radius = 10.0 + sphere = openmc.Sphere(r=radius, boundary_type="vacuum") + cell = openmc.Cell(region=-sphere, fill=material) + geometry = openmc.Geometry([cell]) + + # Settings + settings = openmc.Settings() + settings.particles = 1000 + settings.batches = 20 + settings.inactive = 5 + settings.ifp_n_generation = 5 + + model = openmc.Model(settings=settings, geometry=geometry) + + space = openmc.stats.Box(*cell.bounding_box) + model.settings.source = openmc.IndependentSource( + space=space, constraints={'fissionable': True}) + model.add_kinetics_parameters_tallies(num_groups=6) + return model + + +def test_iterated_fission_probability(ifp_model): + harness = PyAPITestHarness("statepoint.20.h5", model=ifp_model) + harness.main() diff --git a/tests/regression_tests/ifp/results_true.dat b/tests/regression_tests/ifp/results_true.dat deleted file mode 100644 index a74e2bd78b..0000000000 --- a/tests/regression_tests/ifp/results_true.dat +++ /dev/null @@ -1,9 +0,0 @@ -k-combined: -1.007452E+00 5.705278E-03 -tally 1: -8.996235E-08 -5.461421E-16 -4.800000E-02 -4.680000E-04 -1.512000E+01 -1.526063E+01 diff --git a/tests/regression_tests/ifp/total/__init__.py b/tests/regression_tests/ifp/total/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/regression_tests/ifp/inputs_true.dat b/tests/regression_tests/ifp/total/inputs_true.dat similarity index 100% rename from tests/regression_tests/ifp/inputs_true.dat rename to tests/regression_tests/ifp/total/inputs_true.dat diff --git a/tests/regression_tests/ifp/total/results_true.dat b/tests/regression_tests/ifp/total/results_true.dat new file mode 100644 index 0000000000..466ca1f015 --- /dev/null +++ b/tests/regression_tests/ifp/total/results_true.dat @@ -0,0 +1,9 @@ +k-combined: +1.006559E+00 5.389391E-03 +tally 1: +9.109384E-08 +5.667165E-16 +5.200000E-02 +5.420000E-04 +1.489000E+01 +1.480036E+01 diff --git a/tests/regression_tests/ifp/test.py b/tests/regression_tests/ifp/total/test.py similarity index 99% rename from tests/regression_tests/ifp/test.py rename to tests/regression_tests/ifp/total/test.py index 6969a54c49..18b89cfc0b 100644 --- a/tests/regression_tests/ifp/test.py +++ b/tests/regression_tests/ifp/total/test.py @@ -6,7 +6,6 @@ import pytest from tests.testing_harness import PyAPITestHarness - @pytest.fixture() def ifp_model(): model = openmc.Model() diff --git a/tests/regression_tests/infinite_cell/results_true.dat b/tests/regression_tests/infinite_cell/results_true.dat index 2c4ce082d5..4cdbcaf887 100644 --- a/tests/regression_tests/infinite_cell/results_true.dat +++ b/tests/regression_tests/infinite_cell/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.589951E-02 8.489144E-04 +9.603664E-02 1.050772E-03 diff --git a/tests/regression_tests/iso_in_lab/results_true.dat b/tests/regression_tests/iso_in_lab/results_true.dat index aaef226234..0378ec86dc 100644 --- a/tests/regression_tests/iso_in_lab/results_true.dat +++ b/tests/regression_tests/iso_in_lab/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.015537E-01 1.086850E-01 +9.365837E-01 5.366122E-02 diff --git a/tests/regression_tests/lattice/results_true.dat b/tests/regression_tests/lattice/results_true.dat index f3e937b36e..dca84bd6a5 100644 --- a/tests/regression_tests/lattice/results_true.dat +++ b/tests/regression_tests/lattice/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.610829E-01 2.522714E-02 +9.182679E-01 5.270201E-02 diff --git a/tests/regression_tests/lattice_distribmat/False/results_true.dat b/tests/regression_tests/lattice_distribmat/False/results_true.dat index 45a9ddb0a6..9ebbb43b83 100644 --- a/tests/regression_tests/lattice_distribmat/False/results_true.dat +++ b/tests/regression_tests/lattice_distribmat/False/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.863277E+00 1.289821E-02 +1.848895E+00 1.480242E-02 diff --git a/tests/regression_tests/lattice_distribmat/True/results_true.dat b/tests/regression_tests/lattice_distribmat/True/results_true.dat index 45a9ddb0a6..9ebbb43b83 100644 --- a/tests/regression_tests/lattice_distribmat/True/results_true.dat +++ b/tests/regression_tests/lattice_distribmat/True/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.863277E+00 1.289821E-02 +1.848895E+00 1.480242E-02 diff --git a/tests/regression_tests/lattice_distribrho/__init__.py b/tests/regression_tests/lattice_distribrho/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/regression_tests/lattice_distribrho/inputs_true.dat b/tests/regression_tests/lattice_distribrho/inputs_true.dat new file mode 100644 index 0000000000..5031bea6e2 --- /dev/null +++ b/tests/regression_tests/lattice_distribrho/inputs_true.dat @@ -0,0 +1,40 @@ + + + + + + + + + + + + + + + + + + + + + 1.0 1.0 + 2 2 + -1.0 -1.0 + +1 1 +1 1 + + + + + + + + + eigenvalue + 1000 + 10 + 5 + + diff --git a/tests/regression_tests/lattice_distribrho/results_true.dat b/tests/regression_tests/lattice_distribrho/results_true.dat new file mode 100644 index 0000000000..f7f3da8e65 --- /dev/null +++ b/tests/regression_tests/lattice_distribrho/results_true.dat @@ -0,0 +1,2 @@ +k-combined: +1.900249E+00 8.157834E-03 diff --git a/tests/regression_tests/lattice_distribrho/test.py b/tests/regression_tests/lattice_distribrho/test.py new file mode 100644 index 0000000000..ec94fe96b8 --- /dev/null +++ b/tests/regression_tests/lattice_distribrho/test.py @@ -0,0 +1,51 @@ +import openmc +import pytest + +from tests.testing_harness import PyAPITestHarness + + +@pytest.fixture +def model(): + model = openmc.Model() + + uo2 = openmc.Material(name='UO2') + uo2.set_density('g/cm3', 10.0) + uo2.add_nuclide('U235', 1.0) + uo2.add_nuclide('O16', 2.0) + water = openmc.Material(name='light water') + water.add_nuclide('H1', 2.0) + water.add_nuclide('O16', 1.0) + water.set_density('g/cm3', 1.0) + water.add_s_alpha_beta('c_H_in_H2O') + model.materials.extend([uo2, water]) + + cyl = openmc.ZCylinder(r=0.4) + pin = openmc.model.pin([cyl], [uo2, water]) + d = 1.0 + + lattice = openmc.RectLattice() + lattice.lower_left = (-d, -d) + lattice.pitch = (d, d) + lattice.universes = [[pin, pin], + [pin, pin]] + box = openmc.model.RectangularPrism( + 2.0 * d, 2.0 * d, + origin=(0.0, 0.0), + boundary_type='reflective' + ) + + pin.cells[1].density = [10.0, 20.0, 10.0, 20.0] + + model.geometry = openmc.Geometry([openmc.Cell(fill=lattice, region=-box)]) + model.geometry.merge_surfaces = True + + model.settings.batches = 10 + model.settings.inactive = 5 + model.settings.particles = 1000 + + return model + + +def test_lattice_checkerboard(model): + harness = PyAPITestHarness('statepoint.10.h5', model) + harness.main() diff --git a/tests/regression_tests/lattice_hex/results_true.dat b/tests/regression_tests/lattice_hex/results_true.dat index 789bacc404..46db641ebe 100644 --- a/tests/regression_tests/lattice_hex/results_true.dat +++ b/tests/regression_tests/lattice_hex/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.566607E-01 9.207770E-03 +2.595598E-01 9.089294E-03 diff --git a/tests/regression_tests/lattice_hex_coincident/results_true.dat b/tests/regression_tests/lattice_hex_coincident/results_true.dat index c134e123f9..c798b66e40 100644 --- a/tests/regression_tests/lattice_hex_coincident/results_true.dat +++ b/tests/regression_tests/lattice_hex_coincident/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.917792E+00 4.329425E-02 +1.931086E+00 5.968486E-02 diff --git a/tests/regression_tests/lattice_hex_x/results_true.dat b/tests/regression_tests/lattice_hex_x/results_true.dat index 174dc70cd4..44f947283c 100644 --- a/tests/regression_tests/lattice_hex_x/results_true.dat +++ b/tests/regression_tests/lattice_hex_x/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.367975E+00 2.264887E-02 +1.326294E+00 1.193578E-02 diff --git a/tests/regression_tests/lattice_multiple/results_true.dat b/tests/regression_tests/lattice_multiple/results_true.dat index 7a06551bd8..0866932d2a 100644 --- a/tests/regression_tests/lattice_multiple/results_true.dat +++ b/tests/regression_tests/lattice_multiple/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.859911E+00 8.282311E-03 +1.843982E+00 5.815875E-03 diff --git a/tests/regression_tests/lattice_rotated/results_true.dat b/tests/regression_tests/lattice_rotated/results_true.dat index eeaa268fb1..9a96a92594 100644 --- a/tests/regression_tests/lattice_rotated/results_true.dat +++ b/tests/regression_tests/lattice_rotated/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.426784E-01 6.627506E-03 +4.515246E-01 2.358354E-02 diff --git a/tests/regression_tests/mg_basic/results_true.dat b/tests/regression_tests/mg_basic/results_true.dat index 15a9f21868..16980732db 100644 --- a/tests/regression_tests/mg_basic/results_true.dat +++ b/tests/regression_tests/mg_basic/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.009864E+00 1.107115E-02 +1.004679E+00 1.329350E-02 diff --git a/tests/regression_tests/mg_basic_delayed/results_true.dat b/tests/regression_tests/mg_basic_delayed/results_true.dat index 6f7c79c1b2..f150030b9b 100644 --- a/tests/regression_tests/mg_basic_delayed/results_true.dat +++ b/tests/regression_tests/mg_basic_delayed/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.024610E+00 9.643746E-03 +1.017078E+00 1.181139E-02 diff --git a/tests/regression_tests/mg_convert/results_true.dat b/tests/regression_tests/mg_convert/results_true.dat index ff3d7bb913..f8f748cc7c 100644 --- a/tests/regression_tests/mg_convert/results_true.dat +++ b/tests/regression_tests/mg_convert/results_true.dat @@ -1,24 +1,24 @@ k-combined: -9.984888E-01 1.558301E-03 +9.926427E-01 3.067527E-03 k-combined: -1.001035E+00 7.622447E-04 +9.932868E-01 2.780271E-03 k-combined: -9.984888E-01 1.558301E-03 +9.926427E-01 3.067527E-03 k-combined: -9.991101E-01 2.776191E-03 +1.000000E+00 0.000000E+00 k-combined: -9.965954E-01 5.185046E-03 +9.902969E-01 1.654717E-02 k-combined: -9.987613E-01 4.806845E-04 +9.882796E-01 1.929843E-03 k-combined: -9.991101E-01 2.776191E-03 +1.000000E+00 0.000000E+00 k-combined: -9.965954E-01 5.185315E-03 +9.902953E-01 1.654291E-02 k-combined: -9.987610E-01 4.791528E-04 +9.882814E-01 1.927488E-03 k-combined: -9.944808E-01 4.458524E-03 +9.893153E-01 7.576652E-03 k-combined: -9.984888E-01 1.558301E-03 +9.926427E-01 3.067527E-03 k-combined: -9.984888E-01 1.558301E-03 +9.926427E-01 3.067527E-03 diff --git a/tests/regression_tests/mg_convert/test.py b/tests/regression_tests/mg_convert/test.py index 8099c89a29..0e50f3a744 100755 --- a/tests/regression_tests/mg_convert/test.py +++ b/tests/regression_tests/mg_convert/test.py @@ -1,3 +1,4 @@ +from math import isnan import os import hashlib @@ -142,10 +143,13 @@ class MGXSTestHarness(PyAPITestHarness): openmc.run(openmc_exec=config['exe']) with openmc.StatePoint('statepoint.{}.h5'.format(batches)) as sp: + # Sometimes NaN results are produced; convert these to 0.0 + std_dev = 0.0 if isnan(sp.keff.s) else sp.keff.s + # Write out k-combined. outstr += 'k-combined:\n' form = '{:12.6E} {:12.6E}\n' - outstr += form.format(sp.keff.n, sp.keff.s) + outstr += form.format(sp.keff.n, std_dev) return outstr diff --git a/tests/regression_tests/mg_legendre/results_true.dat b/tests/regression_tests/mg_legendre/results_true.dat index e2989469c8..04d9c9874b 100644 --- a/tests/regression_tests/mg_legendre/results_true.dat +++ b/tests/regression_tests/mg_legendre/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.003646E+00 9.134747E-03 +1.009220E+00 9.571832E-03 diff --git a/tests/regression_tests/mg_max_order/results_true.dat b/tests/regression_tests/mg_max_order/results_true.dat index e2989469c8..04d9c9874b 100644 --- a/tests/regression_tests/mg_max_order/results_true.dat +++ b/tests/regression_tests/mg_max_order/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.003646E+00 9.134747E-03 +1.009220E+00 9.571832E-03 diff --git a/tests/regression_tests/mg_survival_biasing/results_true.dat b/tests/regression_tests/mg_survival_biasing/results_true.dat index cddbdaceb3..4b26978ada 100644 --- a/tests/regression_tests/mg_survival_biasing/results_true.dat +++ b/tests/regression_tests/mg_survival_biasing/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.878738E-01 8.326224E-03 +9.889968E-01 9.144186E-03 diff --git a/tests/regression_tests/mg_tallies/results_true.dat b/tests/regression_tests/mg_tallies/results_true.dat index 7484dd2485..07fe22ce50 100644 --- a/tests/regression_tests/mg_tallies/results_true.dat +++ b/tests/regression_tests/mg_tallies/results_true.dat @@ -1,1324 +1,1324 @@ k-combined: -1.003646E+00 9.134747E-03 +1.012390E+00 9.679132E-03 tally 1: -5.220000E-01 -5.995400E-02 -1.400000E-02 -4.000000E-05 -6.718865E-03 -9.371695E-06 -1.106435E-02 -3.119729E-05 -1.216992E-07 -3.699412E-15 -1.106435E-02 -3.119729E-05 +1.342000E+00 +4.291640E-01 +7.000000E-02 +1.158000E-03 +2.919844E-02 +1.953371E-04 +5.372246E-02 +6.734832E-04 +2.939310E-07 +2.375686E-14 +5.372246E-02 +6.734832E-04 0.000000E+00 0.000000E+00 -1.343773E+06 -3.748678E+11 -5.220000E-01 -5.995400E-02 +5.839688E+06 +7.813485E+12 +1.342000E+00 +4.291640E-01 0.000000E+00 0.000000E+00 -1.520872E+00 -5.121226E-01 -2.564000E+00 -1.338762E+00 -1.160000E-01 -2.738000E-03 -4.593685E-02 -4.275719E-04 -1.360763E-01 -3.951569E-03 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+3.655420E-03 +5.417928E-06 +2.332325E-05 +2.205650E-10 +2.942995E+05 +3.511863E+10 +1.300000E-01 +5.822000E-03 +1.092814E-05 +4.842290E-11 tally 13: -1.092010E+02 -2.386227E+03 -4.975000E+00 -4.950147E+00 -2.009472E+00 -8.076733E-01 -5.000649E+00 -5.012321E+00 -2.728992E-05 -1.491241E-10 -4.964474E+00 -4.939215E+00 -3.617555E-02 -2.875519E-04 -4.018944E+08 -3.230693E+16 -1.092010E+02 -2.386227E+03 -1.333979E-02 -5.019969E-05 -1.042260E+02 -2.173864E+03 -1.042260E+02 -2.173864E+03 +1.098420E+02 +2.414277E+03 +4.993000E+00 +4.986021E+00 +2.023763E+00 +8.192234E-01 +5.037812E+00 +5.086734E+00 +2.745346E-05 +1.509092E-10 +5.002505E+00 +5.014944E+00 +3.530702E-02 +2.695026E-04 +4.047525E+08 +3.276894E+16 +1.098420E+02 +2.414277E+03 +1.059695E-02 +2.782849E-05 +1.048490E+02 +2.199887E+03 +1.048490E+02 +2.199887E+03 tally 14: -1.092010E+02 -2.386227E+03 -4.979068E+00 -4.959690E+00 -2.016700E+00 -8.137138E-01 -5.041749E+00 -5.085712E+00 -5.020635E-05 -5.047241E-10 -5.009785E+00 -5.021429E+00 -3.196471E-02 -2.044235E-04 -4.033399E+08 -3.254855E+16 -1.092010E+02 -2.386227E+03 -1.497710E-02 -4.487918E-05 +1.098420E+02 +2.414277E+03 +5.008447E+00 +5.018748E+00 +2.028674E+00 +8.234818E-01 +5.071684E+00 +5.146761E+00 +5.050718E-05 +5.107669E-10 +5.039530E+00 +5.081707E+00 +3.215450E-02 +2.068774E-04 +4.057347E+08 +3.293927E+16 +1.098420E+02 +2.414277E+03 +1.506603E-02 +4.541792E-05 tally 15: -1.097121E+02 -2.408636E+03 -5.009145E+00 -5.019563E+00 -2.032191E+00 -8.264420E-01 -5.080477E+00 -5.165263E+00 -2.756641E-05 -1.523527E-10 -5.048267E+00 -5.099975E+00 -3.221025E-02 -2.076211E-04 -4.064382E+08 -3.305768E+16 -1.093810E+02 -2.394075E+03 -1.509215E-02 -4.558119E-05 +1.103689E+02 +2.437562E+03 +5.035611E+00 +5.073005E+00 +2.041209E+00 +8.337913E-01 +5.103022E+00 +5.211196E+00 +2.765405E-05 +1.532759E-10 +5.070669E+00 +5.145327E+00 +3.235318E-02 +2.094674E-04 +4.082417E+08 +3.335165E+16 +1.098580E+02 +2.414983E+03 +1.515912E-02 +4.598653E-05 tally 16: -1.042260E+02 -2.173864E+03 -1.042260E+02 -2.173864E+03 -5.000649E+00 -5.012321E+00 +1.048490E+02 +2.199887E+03 +1.048490E+02 +2.199887E+03 +5.037812E+00 +5.086734E+00 tally 17: -6.507000E+00 -8.478423E+00 -1.444000E+00 -4.172780E-01 -1.146407E+00 -2.630079E-01 -2.867025E+00 -1.647980E+00 -2.707153E-05 -1.467503E-10 -2.848880E+00 -1.627146E+00 -1.814469E-02 -6.685238E-05 -2.292814E+08 -1.052031E+16 -6.507000E+00 -8.478423E+00 -9.467712E-03 -2.396878E-05 -5.063000E+00 -5.136983E+00 -5.063000E+00 -5.136983E+00 -1.026940E+02 -2.110535E+03 +6.546000E+00 +8.579894E+00 +1.462000E+00 +4.278220E-01 +1.160697E+00 +2.696537E-01 +2.879845E+00 +1.663297E+00 +2.723379E-05 +1.485067E-10 +2.862628E+00 +1.643479E+00 +1.721726E-02 +6.055382E-05 +2.321395E+08 +1.078615E+16 +6.546000E+00 +8.579894E+00 +6.709978E-03 +1.387848E-05 +5.084000E+00 +5.178800E+00 +5.084000E+00 +5.178800E+00 +1.032960E+02 +2.135240E+03 3.531000E+00 -2.493861E+00 +2.493943E+00 8.630652E-01 -1.489924E-01 -2.133624E+00 -9.150435E-01 -2.183901E-07 -9.544829E-15 -2.115593E+00 -8.991467E-01 -1.803087E-02 -8.677353E-05 +1.489973E-01 +2.157967E+00 +9.345420E-01 +2.196703E-07 +9.656558E-15 +2.139877E+00 +9.185178E-01 +1.808977E-02 +8.744581E-05 1.726130E+08 -5.959695E+15 -1.026940E+02 -2.110535E+03 -3.872081E-03 -5.919692E-06 -9.916300E+01 -1.968002E+03 -9.916300E+01 -1.968002E+03 +5.959891E+15 +1.032960E+02 +2.135240E+03 +3.886968E-03 +5.976458E-06 +9.976500E+01 +1.991860E+03 +9.976500E+01 +1.991860E+03 tally 18: -6.507000E+00 -8.478423E+00 -1.455344E+00 -4.241161E-01 -1.155413E+00 -2.673178E-01 -2.888532E+00 -1.670737E+00 -4.955615E-05 -4.917547E-10 -2.870219E+00 -1.649619E+00 -1.831331E-02 -6.715634E-05 -2.310826E+08 -1.069271E+16 -6.507000E+00 -8.478423E+00 -8.580723E-03 -1.474352E-05 -1.026940E+02 -2.110535E+03 -3.523724E+00 -2.484884E+00 -8.612868E-01 -1.484560E-01 -2.153217E+00 -9.278503E-01 -6.502027E-07 -8.460574E-14 -2.139566E+00 -9.161225E-01 -1.365140E-02 -3.729555E-05 -1.722574E+08 -5.938242E+15 -1.026940E+02 -2.110535E+03 -6.396382E-03 -8.187874E-06 +6.546000E+00 +8.579894E+00 +1.464067E+00 +4.291919E-01 +1.162338E+00 +2.705171E-01 +2.905845E+00 +1.690732E+00 +4.985316E-05 +4.976401E-10 +2.887422E+00 +1.669362E+00 +1.842307E-02 +6.796008E-05 +2.324676E+08 +1.082069E+16 +6.546000E+00 +8.579894E+00 +8.632151E-03 +1.491997E-05 +1.032960E+02 +2.135240E+03 +3.544380E+00 +2.513971E+00 +8.663357E-01 +1.501938E-01 +2.165839E+00 +9.387115E-01 +6.540142E-07 +8.559612E-14 +2.152108E+00 +9.268463E-01 +1.373143E-02 +3.773212E-05 +1.732671E+08 +6.007753E+15 +1.032960E+02 +2.135240E+03 +6.433878E-03 +8.283719E-06 tally 19: -6.573230E+00 -8.663027E+00 -1.470157E+00 -4.333505E-01 -1.167173E+00 -2.731383E-01 -2.917933E+00 -1.707114E+00 -2.734707E-05 -1.499456E-10 -2.899433E+00 -1.685536E+00 -1.849971E-02 -6.861856E-05 -2.334346E+08 -1.092553E+16 -6.518000E+00 -8.507644E+00 -8.668060E-03 -1.506454E-05 -1.031389E+02 -2.128993E+03 -3.538988E+00 -2.506616E+00 -8.650177E-01 -1.497544E-01 -2.162544E+00 -9.359650E-01 -2.193361E-07 -9.628305E-15 -2.148834E+00 -9.241346E-01 -1.371054E-02 -3.762172E-05 -1.730035E+08 -5.990176E+15 -1.028630E+02 -2.117467E+03 -6.424090E-03 -8.259483E-06 +6.593971E+00 +8.715030E+00 +1.474796E+00 +4.359519E-01 +1.170856E+00 +2.747779E-01 +2.927140E+00 +1.717362E+00 +2.743336E-05 +1.508457E-10 +2.908582E+00 +1.695655E+00 +1.855808E-02 +6.903047E-05 +2.341712E+08 +1.099112E+16 +6.547000E+00 +8.582573E+00 +8.695410E-03 +1.515497E-05 +1.037750E+02 +2.155274E+03 +3.560815E+00 +2.537559E+00 +8.703528E-01 +1.516031E-01 +2.175882E+00 +9.475192E-01 +2.206889E-07 +9.747163E-15 +2.162087E+00 +9.355427E-01 +1.379510E-02 +3.808615E-05 +1.740706E+08 +6.064123E+15 +1.033110E+02 +2.135863E+03 +6.463712E-03 +8.361443E-06 tally 20: -5.063000E+00 -5.136983E+00 -5.063000E+00 -5.136983E+00 +5.084000E+00 +5.178800E+00 +5.084000E+00 +5.178800E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -2.867025E+00 -1.647980E+00 -1.445000E+00 -4.178610E-01 -1.445000E+00 -4.178610E-01 +2.879845E+00 +1.663297E+00 +1.463000E+00 +4.284330E-01 +1.463000E+00 +4.284330E-01 0.000000E+00 0.000000E+00 -9.771800E+01 -1.911083E+03 -9.771800E+01 -1.911083E+03 -2.133624E+00 -9.150435E-01 +9.830200E+01 +1.933884E+03 +9.830200E+01 +1.933884E+03 +2.157967E+00 +9.345420E-01 diff --git a/tests/regression_tests/mg_temperature/results_true.dat b/tests/regression_tests/mg_temperature/results_true.dat index 19364e1d96..6de4c6bb13 100644 --- a/tests/regression_tests/mg_temperature/results_true.dat +++ b/tests/regression_tests/mg_temperature/results_true.dat @@ -1,40 +1,40 @@ micro, method: nearest, t: 300.0, k-combined: -1.439563E+00 4.526076E-04 +1.439913E+00 4.285638E-04 kanalyt 1.440410E+00 micro, method: nearest, t: 600.0, k-combined: -1.409389E+00 4.684481E-04 +1.410750E+00 4.829834E-04 kanalyt 1.410164E+00 micro, method: nearest, t: 900.0, k-combined: -1.407593E+00 4.410387E-04 +1.408232E+00 4.946310E-04 kanalyt 1.407830E+00 micro, method: interpolation, t: 520.0, k-combined: -1.418259E+00 4.242856E-04 +1.418877E+00 4.651822E-04 kanalyt 1.418514E+00 micro, method: interpolation, t: 600.0, k-combined: -1.409389E+00 4.684481E-04 +1.410750E+00 4.829834E-04 kanalyt 1.410164E+00 macro, method: nearest, t: 300.0, k-combined: -1.439563E+00 4.526076E-04 +1.439913E+00 4.285638E-04 kanalyt 1.440410E+00 macro, method: nearest, t: 600.0, k-combined: -1.409389E+00 4.684481E-04 +1.410750E+00 4.829834E-04 kanalyt 1.410164E+00 macro, method: nearest, t: 900.0, k-combined: -1.407593E+00 4.410387E-04 +1.408232E+00 4.946310E-04 kanalyt 1.407830E+00 macro, method: interpolation, t: 520.0, k-combined: -1.418259E+00 4.242856E-04 +1.418877E+00 4.651822E-04 kanalyt 1.418514E+00 macro, method: interpolation, t: 600, k-combined: -1.409389E+00 4.684481E-04 +1.410750E+00 4.829834E-04 kanalyt 1.410164E+00 diff --git a/tests/regression_tests/mg_temperature_multi/results_true.dat b/tests/regression_tests/mg_temperature_multi/results_true.dat index 80c2f56225..3e2f990c8e 100644 --- a/tests/regression_tests/mg_temperature_multi/results_true.dat +++ b/tests/regression_tests/mg_temperature_multi/results_true.dat @@ -1,8 +1,8 @@ k-combined: -1.337115E+00 7.221249E-03 +1.309371E+00 6.765039E-03 tally 1: -2.549066E+01 -1.299987E+02 +2.532303E+01 +1.282689E+02 tally 2: -9.276778E+01 -1.721791E+03 +9.336894E+01 +1.743765E+03 diff --git a/tests/regression_tests/mgxs_library_ce_to_mg/results_true.dat b/tests/regression_tests/mgxs_library_ce_to_mg/results_true.dat index d956595345..7ce1063146 100644 --- a/tests/regression_tests/mgxs_library_ce_to_mg/results_true.dat +++ b/tests/regression_tests/mgxs_library_ce_to_mg/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.158563E+00 3.354681E-02 +1.152065E+00 2.768158E-02 diff --git a/tests/regression_tests/mgxs_library_ce_to_mg_nuclides/results_true.dat b/tests/regression_tests/mgxs_library_ce_to_mg_nuclides/results_true.dat index a4e9dafcc0..50c8328c88 100644 --- a/tests/regression_tests/mgxs_library_ce_to_mg_nuclides/results_true.dat +++ b/tests/regression_tests/mgxs_library_ce_to_mg_nuclides/results_true.dat @@ -1,2 +1,2 @@ k-combined: -6.025533E-01 1.157401E-02 +4.139942E-01 1.181308E-02 diff --git a/tests/regression_tests/mgxs_library_condense/results_true.dat b/tests/regression_tests/mgxs_library_condense/results_true.dat index ae5bff6e35..98b30932c3 100644 --- a/tests/regression_tests/mgxs_library_condense/results_true.dat +++ b/tests/regression_tests/mgxs_library_condense/results_true.dat @@ -1,362 +1,362 @@ mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.699306 0.028642 -2 1 2 1 1 total 0.687913 0.025966 -1 2 1 1 1 total 0.716035 0.018945 -3 2 2 1 1 total 0.702630 0.028574 +0 1 1 1 1 total 0.702881 0.026175 +2 1 2 1 1 total 0.706921 0.029169 +1 2 1 1 1 total 0.707809 0.024766 +3 2 2 1 1 total 0.717967 0.024008 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.443642 0.030984 -2 1 2 1 1 total 0.429968 0.028072 -1 2 1 1 1 total 0.461535 0.021345 -3 2 2 1 1 total 0.439454 0.031232 +0 1 1 1 1 total 0.431023 0.028803 +2 1 2 1 1 total 0.451864 0.030748 +1 2 1 1 1 total 0.456990 0.026359 +3 2 2 1 1 total 0.450621 0.026744 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.443642 0.030984 -2 1 2 1 1 total 0.429968 0.028072 -1 2 1 1 1 total 0.461535 0.021345 -3 2 2 1 1 total 0.439454 0.031232 +0 1 1 1 1 total 0.431023 0.028803 +2 1 2 1 1 total 0.451864 0.030748 +1 2 1 1 1 total 0.456990 0.026359 +3 2 2 1 1 total 0.450621 0.026744 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.021895 0.001041 -2 1 2 1 1 total 0.021903 0.001108 -1 2 1 1 1 total 0.024895 0.001401 -3 2 2 1 1 total 0.022105 0.001198 +0 1 1 1 1 total 0.022398 0.001401 +2 1 2 1 1 total 0.022325 0.001371 +1 2 1 1 1 total 0.022942 0.000990 +3 2 2 1 1 total 0.022705 0.001322 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.021883 0.001040 -2 1 2 1 1 total 0.021879 0.001108 -1 2 1 1 1 total 0.024875 0.001401 -3 2 2 1 1 total 0.022071 0.001197 +0 1 1 1 1 total 0.022394 0.001401 +2 1 2 1 1 total 0.022321 0.001371 +1 2 1 1 1 total 0.022935 0.000990 +3 2 2 1 1 total 0.022699 0.001322 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.011219 0.000958 -2 1 2 1 1 total 0.011437 0.001013 -1 2 1 1 1 total 0.012947 0.001437 -3 2 2 1 1 total 0.011756 0.001144 +0 1 1 1 1 total 0.011562 0.001544 +2 1 2 1 1 total 0.011852 0.001418 +1 2 1 1 1 total 0.012168 0.000958 +3 2 2 1 1 total 0.011986 0.001418 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.010676 0.000481 -2 1 2 1 1 total 0.010466 0.000446 -1 2 1 1 1 total 0.011948 0.000517 -3 2 2 1 1 total 0.010350 0.000547 +0 1 1 1 1 total 0.010836 0.000803 +2 1 2 1 1 total 0.010473 0.000591 +1 2 1 1 1 total 0.010774 0.000415 +3 2 2 1 1 total 0.010719 0.000688 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.026218 0.001180 -2 1 2 1 1 total 0.025724 0.001093 -1 2 1 1 1 total 0.029326 0.001262 -3 2 2 1 1 total 0.025451 0.001338 +0 1 1 1 1 total 0.026602 0.001957 +2 1 2 1 1 total 0.025695 0.001442 +1 2 1 1 1 total 0.026454 0.001015 +3 2 2 1 1 total 0.026310 0.001678 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 2.067337e+06 93152.452502 -2 1 2 1 1 total 2.026907e+06 86377.585629 -1 2 1 1 1 total 2.313358e+06 99980.823985 -3 2 2 1 1 total 2.004370e+06 105820.022073 +0 1 1 1 1 total 2.098256e+06 155243.612264 +2 1 2 1 1 total 2.027699e+06 114334.400924 +1 2 1 1 1 total 2.086255e+06 80325.567787 +3 2 2 1 1 total 2.075596e+06 133128.805680 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.677411 0.027731 -2 1 2 1 1 total 0.666009 0.025155 -1 2 1 1 1 total 0.691140 0.018119 -3 2 2 1 1 total 0.680525 0.027587 +0 1 1 1 1 total 0.680483 0.025407 +2 1 2 1 1 total 0.684597 0.028126 +1 2 1 1 1 total 0.684867 0.024133 +3 2 2 1 1 total 0.695262 0.023087 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 0.679832 0.030242 -2 1 2 1 1 total 0.663143 0.019259 -1 2 1 1 1 total 0.679503 0.027107 -3 2 2 1 1 total 0.681909 0.033506 +0 1 1 1 1 total 0.678017 0.026288 +2 1 2 1 1 total 0.674888 0.033989 +1 2 1 1 1 total 0.681736 0.025618 +3 2 2 1 1 total 0.683701 0.023788 mesh 1 group in group out legendre nuclide mean std. dev. x y z -0 1 1 1 1 1 P0 total 0.679832 0.030426 -1 1 1 1 1 1 P1 total 0.255665 0.011704 -2 1 1 1 1 1 P2 total 0.087020 0.005603 -3 1 1 1 1 1 P3 total 0.006425 0.005919 -8 1 2 1 1 1 P0 total 0.663143 0.019088 -9 1 2 1 1 1 P1 total 0.257945 0.010887 -10 1 2 1 1 1 P2 total 0.095395 0.006988 -11 1 2 1 1 1 P3 total 0.009816 0.003950 -4 2 1 1 1 1 P0 total 0.679503 0.026695 -5 2 1 1 1 1 P1 total 0.254500 0.009901 -6 2 1 1 1 1 P2 total 0.093289 0.005481 -7 2 1 1 1 1 P3 total 0.004631 0.004081 -12 2 2 1 1 1 P0 total 0.681909 0.032740 -13 2 2 1 1 1 P1 total 0.263176 0.012659 -14 2 2 1 1 1 P2 total 0.093102 0.006603 -15 2 2 1 1 1 P3 total 0.007938 0.005673 +0 1 1 1 1 1 P0 total 0.678017 0.026290 +1 1 1 1 1 1 P1 total 0.271858 0.011693 +2 1 1 1 1 1 P2 total 0.095219 0.002950 +3 1 1 1 1 1 P3 total 0.012808 0.004686 +8 1 2 1 1 1 P0 total 0.674888 0.033578 +9 1 2 1 1 1 P1 total 0.255058 0.009912 +10 1 2 1 1 1 P2 total 0.098001 0.005459 +11 1 2 1 1 1 P3 total 0.012058 0.005439 +4 2 1 1 1 1 P0 total 0.681736 0.025439 +5 2 1 1 1 1 P1 total 0.250820 0.009035 +6 2 1 1 1 1 P2 total 0.092563 0.006549 +7 2 1 1 1 1 P3 total 0.008511 0.003905 +12 2 2 1 1 1 P0 total 0.683701 0.024254 +13 2 2 1 1 1 P1 total 0.267345 0.011695 +14 2 2 1 1 1 P2 total 0.096222 0.005551 +15 2 2 1 1 1 P3 total 0.011515 0.003236 mesh 1 group in group out legendre nuclide mean std. dev. x y z -0 1 1 1 1 1 P0 total 0.679832 0.030426 -1 1 1 1 1 1 P1 total 0.255665 0.011704 -2 1 1 1 1 1 P2 total 0.087020 0.005603 -3 1 1 1 1 1 P3 total 0.006425 0.005919 -8 1 2 1 1 1 P0 total 0.663143 0.019088 -9 1 2 1 1 1 P1 total 0.257945 0.010887 -10 1 2 1 1 1 P2 total 0.095395 0.006988 -11 1 2 1 1 1 P3 total 0.009816 0.003950 -4 2 1 1 1 1 P0 total 0.679503 0.026695 -5 2 1 1 1 1 P1 total 0.254500 0.009901 -6 2 1 1 1 1 P2 total 0.093289 0.005481 -7 2 1 1 1 1 P3 total 0.004631 0.004081 -12 2 2 1 1 1 P0 total 0.681909 0.032740 -13 2 2 1 1 1 P1 total 0.263176 0.012659 -14 2 2 1 1 1 P2 total 0.093102 0.006603 -15 2 2 1 1 1 P3 total 0.007938 0.005673 +0 1 1 1 1 1 P0 total 0.678017 0.026290 +1 1 1 1 1 1 P1 total 0.271858 0.011693 +2 1 1 1 1 1 P2 total 0.095219 0.002950 +3 1 1 1 1 1 P3 total 0.012808 0.004686 +8 1 2 1 1 1 P0 total 0.674888 0.033578 +9 1 2 1 1 1 P1 total 0.255058 0.009912 +10 1 2 1 1 1 P2 total 0.098001 0.005459 +11 1 2 1 1 1 P3 total 0.012058 0.005439 +4 2 1 1 1 1 P0 total 0.681736 0.025439 +5 2 1 1 1 1 P1 total 0.250820 0.009035 +6 2 1 1 1 1 P2 total 0.092563 0.006549 +7 2 1 1 1 1 P3 total 0.008511 0.003905 +12 2 2 1 1 1 P0 total 0.683701 0.024254 +13 2 2 1 1 1 P1 total 0.267345 0.011695 +14 2 2 1 1 1 P2 total 0.096222 0.005551 +15 2 2 1 1 1 P3 total 0.011515 0.003236 mesh 1 group in group out nuclide mean std. dev. x y z -0 1 1 1 1 1 total 1.0 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total 0.013354 0.000892 -19 2 2 1 2 total 0.032606 0.002209 -20 2 2 1 3 total 0.121069 0.008302 -21 2 2 1 4 total 0.305776 0.021416 -22 2 2 1 5 total 0.861442 0.063571 -23 2 2 1 6 total 2.893392 0.212640 - mesh 1 delayedgroup group in group out nuclide mean std. dev. - x y z -0 1 1 1 1 1 1 total 0.0 0.0 -1 1 1 1 2 1 1 total 0.0 0.0 -2 1 1 1 3 1 1 total 0.0 0.0 -3 1 1 1 4 1 1 total 0.0 0.0 -4 1 1 1 5 1 1 total 0.0 0.0 -5 1 1 1 6 1 1 total 0.0 0.0 -12 1 2 1 1 1 1 total 0.0 0.0 -13 1 2 1 2 1 1 total 0.0 0.0 -14 1 2 1 3 1 1 total 0.0 0.0 -15 1 2 1 4 1 1 total 0.0 0.0 -16 1 2 1 5 1 1 total 0.0 0.0 -17 1 2 1 6 1 1 total 0.0 0.0 -6 2 1 1 1 1 1 total 0.0 0.0 -7 2 1 1 2 1 1 total 0.0 0.0 -8 2 1 1 3 1 1 total 0.0 0.0 -9 2 1 1 4 1 1 total 0.0 0.0 -10 2 1 1 5 1 1 total 0.0 0.0 -11 2 1 1 6 1 1 total 0.0 0.0 -18 2 2 1 1 1 1 total 0.0 0.0 -19 2 2 1 2 1 1 total 0.0 0.0 -20 2 2 1 3 1 1 total 0.0 0.0 -21 2 2 1 4 1 1 total 0.0 0.0 -22 2 2 1 5 1 1 total 0.0 0.0 -23 2 2 1 6 1 1 total 0.0 0.0 +0 1 1 1 1 total 0.013353 0.001345 +1 1 1 1 2 total 0.032619 0.003120 +2 1 1 1 3 total 0.121042 0.011142 +3 1 1 1 4 total 0.305503 0.026418 +4 1 1 1 5 total 0.860433 0.064665 +5 1 1 1 6 total 2.889963 0.219527 +12 1 2 1 1 total 0.013352 0.001049 +13 1 2 1 2 total 0.032626 0.002465 +14 1 2 1 3 total 0.121027 0.008891 +15 1 2 1 4 total 0.305351 0.021426 +16 1 2 1 5 total 0.859866 0.054490 +17 1 2 1 6 total 2.888034 0.184436 +6 2 1 1 1 total 0.013353 0.000612 +7 2 1 1 2 total 0.032616 0.001412 +8 2 1 1 3 total 0.121047 0.005039 +9 2 1 1 4 total 0.305559 0.012002 +10 2 1 1 5 total 0.860640 0.030707 +11 2 1 1 6 total 2.890664 0.103692 +18 2 2 1 1 total 0.013353 0.001132 +19 2 2 1 2 total 0.032617 0.002633 +20 2 2 1 3 total 0.121046 0.009426 +21 2 2 1 4 total 0.305545 0.022417 +22 2 2 1 5 total 0.860588 0.055030 +23 2 2 1 6 total 2.890489 0.186821 + mesh 1 delayedgroup group in group out nuclide mean std. dev. + x y z +0 1 1 1 1 1 1 total 0.000000 0.000000 +1 1 1 1 2 1 1 total 0.000000 0.000000 +2 1 1 1 3 1 1 total 0.000000 0.000000 +3 1 1 1 4 1 1 total 0.000219 0.000219 +4 1 1 1 5 1 1 total 0.000000 0.000000 +5 1 1 1 6 1 1 total 0.000000 0.000000 +12 1 2 1 1 1 1 total 0.000000 0.000000 +13 1 2 1 2 1 1 total 0.000000 0.000000 +14 1 2 1 3 1 1 total 0.000000 0.000000 +15 1 2 1 4 1 1 total 0.000467 0.000287 +16 1 2 1 5 1 1 total 0.000000 0.000000 +17 1 2 1 6 1 1 total 0.000000 0.000000 +6 2 1 1 1 1 1 total 0.000000 0.000000 +7 2 1 1 2 1 1 total 0.000000 0.000000 +8 2 1 1 3 1 1 total 0.000000 0.000000 +9 2 1 1 4 1 1 total 0.000211 0.000211 +10 2 1 1 5 1 1 total 0.000000 0.000000 +11 2 1 1 6 1 1 total 0.000000 0.000000 +18 2 2 1 1 1 1 total 0.000000 0.000000 +19 2 2 1 2 1 1 total 0.000000 0.000000 +20 2 2 1 3 1 1 total 0.000000 0.000000 +21 2 2 1 4 1 1 total 0.000219 0.000219 +22 2 2 1 5 1 1 total 0.000000 0.000000 +23 2 2 1 6 1 1 total 0.000000 0.000000 diff --git a/tests/regression_tests/mgxs_library_correction/results_true.dat b/tests/regression_tests/mgxs_library_correction/results_true.dat index ff4bd97463..b6aaad0441 100644 --- a/tests/regression_tests/mgxs_library_correction/results_true.dat +++ b/tests/regression_tests/mgxs_library_correction/results_true.dat @@ -1,60 +1,60 @@ material group in group out nuclide mean std. dev. -3 1 1 1 total 0.342252 0.023795 -2 1 1 2 total 0.000695 0.000327 +3 1 1 1 total 0.353477 0.019952 +2 1 1 2 total 0.000522 0.000349 1 1 2 1 total 0.000000 0.000000 -0 1 2 2 total 0.388426 0.020840 +0 1 2 2 total 0.414134 0.029955 material group in group out nuclide mean std. dev. -3 1 1 1 total 0.342252 0.023795 -2 1 1 2 total 0.000695 0.000327 +3 1 1 1 total 0.353477 0.019952 +2 1 1 2 total 0.000522 0.000349 1 1 2 1 total 0.000000 0.000000 -0 1 2 2 total 0.388426 0.020840 +0 1 2 2 total 0.414134 0.029955 material group in group out nuclide mean std. dev. -3 1 1 1 total 0.343021 0.031016 -2 1 1 2 total 0.000697 0.000329 +3 1 1 1 total 0.356124 0.026110 +2 1 1 2 total 0.000526 0.000352 1 1 2 1 total 0.000000 0.000000 -0 1 2 2 total 0.376544 0.025156 +0 1 2 2 total 0.413622 0.044755 material group in group out nuclide mean std. dev. -3 1 1 1 total 0.343021 0.039761 -2 1 1 2 total 0.000697 0.000566 +3 1 1 1 total 0.356124 0.033873 +2 1 1 2 total 0.000526 0.000608 1 1 2 1 total 0.000000 0.000000 -0 1 2 2 total 0.376544 0.032140 +0 1 2 2 total 0.413622 0.054899 material group in group out nuclide mean std. dev. -3 2 1 1 total 0.271174 0.022374 +3 2 1 1 total 0.261901 0.016456 2 2 1 2 total 0.000000 0.000000 1 2 2 1 total 0.000000 0.000000 -0 2 2 2 total 0.295401 0.032831 +0 2 2 2 total 0.322376 0.044195 material group in group out nuclide mean std. dev. -3 2 1 1 total 0.271174 0.022374 +3 2 1 1 total 0.261901 0.016456 2 2 1 2 total 0.000000 0.000000 1 2 2 1 total 0.000000 0.000000 -0 2 2 2 total 0.295401 0.032831 +0 2 2 2 total 0.322376 0.044195 material group in group out nuclide mean std. dev. -3 2 1 1 total 0.264654 0.028288 +3 2 1 1 total 0.266612 0.021169 2 2 1 2 total 0.000000 0.000000 1 2 2 1 total 0.000000 0.000000 -0 2 2 2 total 0.295178 0.032530 +0 2 2 2 total 0.321966 0.054140 material group in group out nuclide mean std. dev. -3 2 1 1 total 0.264654 0.036081 +3 2 1 1 total 0.266612 0.025384 2 2 1 2 total 0.000000 0.000000 1 2 2 1 total 0.000000 0.000000 -0 2 2 2 total 0.295178 0.044676 +0 2 2 2 total 0.321966 0.068014 material group in group out nuclide mean std. dev. -3 3 1 1 total 0.257831 0.014436 -2 3 1 2 total 0.030826 0.000973 -1 3 2 1 total 0.000467 0.000467 -0 3 2 2 total 1.443057 0.119909 +3 3 1 1 total 0.259426 0.012116 +2 3 1 2 total 0.031650 0.000613 +1 3 2 1 total 0.000474 0.000475 +0 3 2 2 total 1.416407 0.162435 material group in group out nuclide mean std. dev. -3 3 1 1 total 0.257831 0.014436 -2 3 1 2 total 0.030826 0.000973 -1 3 2 1 total 0.000467 0.000467 -0 3 2 2 total 1.443057 0.119909 +3 3 1 1 total 0.259426 0.012116 +2 3 1 2 total 0.031650 0.000613 +1 3 2 1 total 0.000474 0.000475 +0 3 2 2 total 1.416407 0.162435 material group in group out nuclide mean std. dev. -3 3 1 1 total 0.267025 0.029512 -2 3 1 2 total 0.031268 0.001416 -1 3 2 1 total 0.000466 0.000467 -0 3 2 2 total 1.440250 0.164573 +3 3 1 1 total 0.266083 0.024503 +2 3 1 2 total 0.031973 0.001157 +1 3 2 1 total 0.000477 0.000480 +0 3 2 2 total 1.427932 0.269812 material group in group out nuclide mean std. dev. -3 3 1 1 total 0.267025 0.032860 -2 3 1 2 total 0.031268 0.001768 -1 3 2 1 total 0.000466 0.000808 -0 3 2 2 total 1.440250 0.212183 +3 3 1 1 total 0.266083 0.027910 +2 3 1 2 total 0.031973 0.001391 +1 3 2 1 total 0.000477 0.000827 +0 3 2 2 total 1.427932 0.328026 diff --git a/tests/regression_tests/mgxs_library_distribcell/results_true.dat b/tests/regression_tests/mgxs_library_distribcell/results_true.dat index ef7cb2b96b..127df75c1e 100644 --- a/tests/regression_tests/mgxs_library_distribcell/results_true.dat +++ b/tests/regression_tests/mgxs_library_distribcell/results_true.dat @@ -1,97 +1,97 @@ sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.455527 0.009851 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.459656 0.010039 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.409242 0.011118 - sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.40929 0.011119 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.416327 0.01121 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.066934 0.002424 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.416327 0.01121 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.066764 0.002423 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.070545 0.002486 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.028358 0.002669 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.070348 0.002485 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.038576 0.001526 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.029374 0.002719 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.094817 0.003725 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.041172 0.001562 + sum(distribcell) group in nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.101218 0.003812 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 7.470225e+06 295170.385185 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 7.972654e+06 302079.851251 + sum(distribcell) group in nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.38911 0.00831 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.388593 0.008156 - sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.388874 0.013889 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.394876 0.014019 sum(distribcell) group in group out legendre nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.388711 0.013887 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.046285 0.005155 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.023632 0.003772 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.006997 0.003207 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.394876 0.014019 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.043329 0.004988 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.027490 0.003974 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.016004 0.003232 sum(distribcell) group in group out legendre nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.388874 0.013889 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.046237 0.005156 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.023571 0.003775 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.007058 0.003207 - sum(distribcell) group in group out nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 1.000418 0.036246 - sum(distribcell) group in group out nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.092139 0.005956 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.394876 0.014019 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.043329 0.004988 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.027490 0.003974 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.016004 0.003232 sum(distribcell) group in group out nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 1.0 0.036242 - sum(distribcell) group in group out legendre nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.388593 0.016275 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.046271 0.005251 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.023624 0.003806 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.006995 0.003209 - sum(distribcell) group in group out legendre nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.388755 0.021528 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.046290 0.005515 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.023634 0.003903 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.006998 0.003221 - sum(distribcell) group out nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 1.0 0.084366 - sum(distribcell) group out nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 1.0 0.084331 - sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 5.253873e-07 2.168462e-08 - sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.094147 0.003701 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 1.0 0.036306 sum(distribcell) group in group out nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.091593 0.005919 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.097856 0.006191 + sum(distribcell) group in group out nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 1.0 0.036306 + sum(distribcell) group in group out legendre nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.389110 0.016390 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.042696 0.005009 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.027088 0.003964 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.015770 0.003204 + sum(distribcell) group in group out legendre nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P0 total 0.389110 0.021638 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P1 total 0.042696 0.005244 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P2 total 0.027088 0.004084 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 P3 total 0.015770 0.003255 + sum(distribcell) group out nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 1.0 0.082469 + sum(distribcell) group out nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 1.0 0.082587 + sum(distribcell) group in nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 5.626624e-07 2.235532e-08 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.814514 0.022129 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.100506 0.003787 + sum(distribcell) group in group out nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.097658 0.006185 sum(distribcell) group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.814419 0.022125 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.800653 0.021558 + sum(distribcell) group in nuclide mean std. dev. +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.800653 0.021558 sum(distribcell) delayedgroup group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.000021 8.473275e-07 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 total 0.000115 4.405467e-06 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 total 0.000112 4.225826e-06 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 total 0.000259 9.559952e-06 -4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 1 total 0.000115 4.025369e-06 -5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 1 total 0.000048 1.682226e-06 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.000023 8.667436e-07 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 total 0.000122 4.499059e-06 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 total 0.000119 4.311220e-06 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 total 0.000275 9.735290e-06 +4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 1 total 0.000122 4.078954e-06 +5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 1 total 0.000051 1.705327e-06 sum(distribcell) delayedgroup group out nuclide mean std. dev. 0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.0 0.000000 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 total 0.0 0.000000 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 total 1.0 1.000002 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 total 1.0 1.414214 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 total 1.0 1.414214 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 total 0.0 0.000000 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 total 0.0 0.000000 4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 1 total 0.0 0.000000 5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 1 total 0.0 0.000000 sum(distribcell) delayedgroup group in nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.000227 0.000012 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 total 0.001210 0.000062 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 total 0.001177 0.000060 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 total 0.002728 0.000136 -4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 1 total 0.001211 0.000059 -5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 1 total 0.000504 0.000025 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 total 0.000227 0.000011 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 total 0.001208 0.000059 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 total 0.001175 0.000056 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 total 0.002721 0.000129 +4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 1 total 0.001206 0.000055 +5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 1 total 0.000502 0.000023 sum(distribcell) delayedgroup nuclide mean std. dev. -0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.013353 0.000692 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 total 0.032613 0.001644 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 total 0.121054 0.005983 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 total 0.305630 0.014645 -4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 total 0.860903 0.038693 -5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 total 2.891558 0.130564 +0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 total 0.013353 0.000658 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 total 0.032616 0.001562 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 total 0.121048 0.005678 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 total 0.305568 0.013868 +4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 total 0.860675 0.036434 +5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 total 2.890786 0.122997 sum(distribcell) delayedgroup group in group out nuclide mean std. dev. 0 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 1 1 1 total 0.000000 0.000000 -1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 1 total 0.000000 0.000000 -2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 1 total 0.000362 0.000256 -3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 1 total 0.000185 0.000185 +1 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 2 1 1 total 0.000198 0.000198 +2 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 3 1 1 total 0.000000 0.000000 +3 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 4 1 1 total 0.000000 0.000000 4 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 5 1 1 total 0.000000 0.000000 5 ((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, ...),) 6 1 1 total 0.000000 0.000000 diff --git a/tests/regression_tests/mgxs_library_hdf5/results_true.dat b/tests/regression_tests/mgxs_library_hdf5/results_true.dat index b2ef8eae92..14d7371fe6 100644 --- a/tests/regression_tests/mgxs_library_hdf5/results_true.dat +++ b/tests/regression_tests/mgxs_library_hdf5/results_true.dat @@ -1,201 +1,201 @@ domain=1 type=total -[5.52629207e-01 1.46792426e+00] -[2.73983948e-02 9.30468557e-02] +[5.66580451e-01 1.44262943e+00] +[1.96770003e-02 1.46112369e-01] domain=1 type=transport -[3.09650231e-01 1.14528468e+00] -[2.96126059e-02 1.01957125e-01] +[3.14856281e-01 1.05346368e+00] +[2.15203447e-02 1.60562179e-01] domain=1 type=nu-transport -[3.09650231e-01 1.14528468e+00] -[2.96126059e-02 1.01957125e-01] +[3.14856281e-01 1.05346368e+00] +[2.15203447e-02 1.60562179e-01] domain=1 type=absorption -[7.90251362e-03 9.52195503e-02] -[7.77996866e-04 5.32017792e-03] +[8.63921263e-03 9.70718967e-02] +[7.09849180e-04 9.96697703e-03] domain=1 type=reduced absorption -[7.88836875e-03 9.52195503e-02] -[7.77877367e-04 5.32017792e-03] +[8.63459183e-03 9.70718967e-02] +[7.09826160e-04 9.96697703e-03] domain=1 type=capture -[5.66271991e-03 4.03380329e-02] -[7.65494411e-04 4.41129849e-03] +[6.29732743e-03 4.01344183e-02] +[7.03181817e-04 9.43458504e-03] domain=1 type=fission -[2.23979371e-03 5.48815174e-02] -[1.44808204e-04 3.21965557e-03] +[2.34188519e-03 5.69374784e-02] +[1.04006997e-04 6.19904834e-03] domain=1 type=nu-fission -[5.70078167e-03 1.33729794e-01] -[3.71908758e-04 7.84533474e-03] +[5.93985124e-03 1.38739554e-01] +[2.57215008e-04 1.51052211e-02] domain=1 type=kappa-fission -[4.36283087e+05 1.06143820e+07] -[2.81939099e+04 6.22698786e+05] +[4.55876276e+05 1.10120160e+07] +[2.00450394e+04 1.19892945e+06] domain=1 type=scatter -[5.44726693e-01 1.37270471e+00] -[2.67443307e-02 8.86578418e-02] +[5.57941239e-01 1.34555753e+00] +[1.96103602e-02 1.38008873e-01] domain=1 type=nu-scatter -[5.46058885e-01 1.38608802e+00] -[2.72733439e-02 9.59957737e-02] +[5.53883536e-01 1.40126963e+00] +[1.89917740e-02 1.62647765e-01] domain=1 type=scatter matrix -[[[5.25081070e-01 2.42978975e-01 9.65459393e-02 8.62265123e-03] - [2.09778151e-02 5.67750504e-03 -1.86093418e-03 -1.63034937e-03]] +[[[5.35878034e-01 2.51724170e-01 1.01011269e-01 1.03439439e-02] + [1.80055019e-02 5.80562809e-03 -1.57470166e-03 -2.27320020e-03]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [1.38608802e+00 2.92665071e-01 4.65545679e-02 3.43129413e-03]]] -[[[2.68584158e-02 1.12354079e-02 5.95151250e-03 5.08213314e-03] - [1.69810442e-03 1.03379654e-03 3.35798077e-04 8.28775769e-04]] + [1.40126963e+00 3.55339640e-01 7.06453615e-02 4.04065595e-02]]] +[[[1.86010787e-02 8.71440749e-03 3.01351835e-03 5.22968320e-03] + [1.36795874e-03 6.67372701e-04 3.26122899e-04 8.68935369e-04]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [9.59957737e-02 3.98634629e-02 1.79245433e-02 2.53788407e-02]]] + [1.62647765e-01 6.23420543e-02 9.61788834e-03 8.80966610e-03]]] domain=1 type=nu-scatter matrix -[[[5.25081070e-01 2.42978975e-01 9.65459393e-02 8.62265123e-03] - [2.09778151e-02 5.67750504e-03 -1.86093418e-03 -1.63034937e-03]] +[[[5.35878034e-01 2.51724170e-01 1.01011269e-01 1.03439439e-02] + [1.80055019e-02 5.80562809e-03 -1.57470166e-03 -2.27320020e-03]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [1.38608802e+00 2.92665071e-01 4.65545679e-02 3.43129413e-03]]] -[[[2.68584158e-02 1.12354079e-02 5.95151250e-03 5.08213314e-03] - [1.69810442e-03 1.03379654e-03 3.35798077e-04 8.28775769e-04]] + [1.40126963e+00 3.55339640e-01 7.06453615e-02 4.04065595e-02]]] +[[[1.86010787e-02 8.71440749e-03 3.01351835e-03 5.22968320e-03] + [1.36795874e-03 6.67372701e-04 3.26122899e-04 8.68935369e-04]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [9.59957737e-02 3.98634629e-02 1.79245433e-02 2.53788407e-02]]] + [1.62647765e-01 6.23420543e-02 9.61788834e-03 8.80966610e-03]]] domain=1 type=multiplicity matrix [[1.00000000e+00 1.00000000e+00] [0.00000000e+00 1.00000000e+00]] -[[4.49973217e-02 9.94834121e-02] - [0.00000000e+00 8.90267353e-02]] +[[3.27047397e-02 1.01015254e-01] + [0.00000000e+00 1.16966513e-01]] domain=1 type=nu-fission matrix -[[6.79725552e-03 0.00000000e+00] - [1.34226308e-01 0.00000000e+00]] -[[1.39232734e-03 0.00000000e+00] - [1.55126210e-02 0.00000000e+00]] +[[7.11392182e-03 0.00000000e+00] + [1.52683850e-01 0.00000000e+00]] +[[1.05605314e-03 0.00000000e+00] + [2.58713491e-02 0.00000000e+00]] domain=1 type=scatter probability matrix -[[9.61583236e-01 3.84167637e-02] +[[9.67492260e-01 3.25077399e-02] [0.00000000e+00 1.00000000e+00]] -[[4.25251594e-02 2.94881301e-03] - [0.00000000e+00 8.90267353e-02]] +[[3.12124830e-02 2.43439942e-03] + [0.00000000e+00 1.16966513e-01]] domain=1 type=consistent scatter matrix -[[[5.23800056e-01 2.42386192e-01 9.63104011e-02 8.60161499e-03] - [2.09266366e-02 5.66365392e-03 -1.85639416e-03 -1.62637189e-03]] +[[[5.39803830e-01 2.53568280e-01 1.01751269e-01 1.04197228e-02] + [1.81374087e-02 5.84815962e-03 -1.58623779e-03 -2.28985347e-03]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [1.37270471e+00 2.89839256e-01 4.61050623e-02 3.39816342e-03]]] -[[[3.46115177e-02 1.51137129e-02 7.17487890e-03 5.08248710e-03] - [1.90677851e-03 1.05813829e-03 3.43862086e-04 8.29548315e-04]] + [1.34555753e+00 3.41211940e-01 6.78366221e-02 3.88000634e-02]]] +[[[2.57534994e-02 1.20804286e-02 4.50621873e-03 5.27902298e-03] + [1.50041314e-03 6.98980912e-04 3.32589287e-04 8.78503928e-04]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [1.50979688e-01 4.66032426e-02 1.81833349e-02 2.51354735e-02]]] + [2.09324012e-01 6.95175402e-02 1.16044952e-02 9.36549883e-03]]] domain=1 type=consistent nu-scatter matrix -[[[5.23800056e-01 2.42386192e-01 9.63104011e-02 8.60161499e-03] - [2.09266366e-02 5.66365392e-03 -1.85639416e-03 -1.62637189e-03]] +[[[5.39803830e-01 2.53568280e-01 1.01751269e-01 1.04197228e-02] + [1.81374087e-02 5.84815962e-03 -1.58623779e-03 -2.28985347e-03]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [1.37270471e+00 2.89839256e-01 4.61050623e-02 3.39816342e-03]]] -[[[4.18746126e-02 1.86381616e-02 8.38211969e-03 5.09720340e-03] - [2.82310416e-03 1.19879975e-03 3.90317811e-04 8.45179676e-04]] + [1.34555753e+00 3.41211940e-01 6.78366221e-02 3.88000634e-02]]] +[[[3.12235732e-02 1.46529414e-02 5.60177820e-03 5.29001047e-03] + [2.36812824e-03 9.15185125e-04 3.69175618e-04 9.08445666e-04]] [[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] - [1.94240879e-01 5.32698778e-02 1.86408495e-02 2.51372940e-02]]] + [2.61890501e-01 8.01593794e-02 1.40578233e-02 1.04071518e-02]]] domain=1 type=chi [1.00000000e+00 0.00000000e+00] -[1.03333203e-01 0.00000000e+00] +[1.42429813e-01 0.00000000e+00] domain=1 type=chi-prompt [1.00000000e+00 0.00000000e+00] -[1.03333203e-01 0.00000000e+00] +[1.43958515e-01 0.00000000e+00] domain=1 type=inverse-velocity -[5.72461488e-08 3.00999757e-06] -[2.80644407e-09 1.80993426e-07] +[6.05275939e-08 2.92408191e-06] +[4.98534008e-09 2.95326306e-07] domain=1 type=prompt-nu-fission -[5.64594959e-03 1.32859920e-01] -[3.68364598e-04 7.79430310e-03] +[5.88433433e-03 1.37837093e-01] +[2.56012352e-04 1.50069660e-02] domain=1 type=prompt-nu-fission matrix -[[6.79725552e-03 0.00000000e+00] - [1.34226308e-01 0.00000000e+00]] -[[1.39232734e-03 0.00000000e+00] - [1.55126210e-02 0.00000000e+00]] +[[7.11392182e-03 0.00000000e+00] + [1.51190909e-01 0.00000000e+00]] +[[1.05605314e-03 0.00000000e+00] + [2.57973847e-02 0.00000000e+00]] domain=1 type=current -[[[0.00000000e+00 0.00000000e+00 3.54200000e+00 3.59000000e+00 - 0.00000000e+00 0.00000000e+00 3.73400000e+00 3.69000000e+00] - [0.00000000e+00 0.00000000e+00 7.08000000e-01 6.90000000e-01 - 0.00000000e+00 0.00000000e+00 6.78000000e-01 6.74000000e-01]] +[[[0.00000000e+00 0.00000000e+00 3.71800000e+00 3.58600000e+00 + 0.00000000e+00 0.00000000e+00 3.62200000e+00 3.71800000e+00] + [0.00000000e+00 0.00000000e+00 6.60000000e-01 6.58000000e-01 + 0.00000000e+00 0.00000000e+00 6.62000000e-01 6.70000000e-01]] - [[3.59000000e+00 3.54200000e+00 0.00000000e+00 0.00000000e+00 - 0.00000000e+00 0.00000000e+00 3.65200000e+00 3.73800000e+00] - [6.90000000e-01 7.08000000e-01 0.00000000e+00 0.00000000e+00 - 0.00000000e+00 0.00000000e+00 6.94000000e-01 6.64000000e-01]] + [[3.58600000e+00 3.71800000e+00 0.00000000e+00 0.00000000e+00 + 0.00000000e+00 0.00000000e+00 3.71200000e+00 3.60600000e+00] + [6.58000000e-01 6.60000000e-01 0.00000000e+00 0.00000000e+00 + 0.00000000e+00 0.00000000e+00 7.04000000e-01 6.74000000e-01]] - [[0.00000000e+00 0.00000000e+00 3.76000000e+00 3.66600000e+00 - 3.69000000e+00 3.73400000e+00 0.00000000e+00 0.00000000e+00] - [0.00000000e+00 0.00000000e+00 6.68000000e-01 7.22000000e-01 - 6.74000000e-01 6.78000000e-01 0.00000000e+00 0.00000000e+00]] + [[0.00000000e+00 0.00000000e+00 3.48600000e+00 3.60600000e+00 + 3.71800000e+00 3.62200000e+00 0.00000000e+00 0.00000000e+00] + [0.00000000e+00 0.00000000e+00 6.66000000e-01 6.74000000e-01 + 6.70000000e-01 6.62000000e-01 0.00000000e+00 0.00000000e+00]] - [[3.66600000e+00 3.76000000e+00 0.00000000e+00 0.00000000e+00 - 3.73800000e+00 3.65200000e+00 0.00000000e+00 0.00000000e+00] - [7.22000000e-01 6.68000000e-01 0.00000000e+00 0.00000000e+00 - 6.64000000e-01 6.94000000e-01 0.00000000e+00 0.00000000e+00]]] -[[[0.00000000e+00 0.00000000e+00 1.04230514e-01 1.61183126e-01 - 0.00000000e+00 0.00000000e+00 1.50419414e-01 1.00498756e-01] - [0.00000000e+00 0.00000000e+00 2.47790234e-02 3.27108545e-02 - 0.00000000e+00 0.00000000e+00 4.84148737e-02 3.24961536e-02]] + [[3.60600000e+00 3.48600000e+00 0.00000000e+00 0.00000000e+00 + 3.60600000e+00 3.71200000e+00 0.00000000e+00 0.00000000e+00] + [6.74000000e-01 6.66000000e-01 0.00000000e+00 0.00000000e+00 + 6.74000000e-01 7.04000000e-01 0.00000000e+00 0.00000000e+00]]] +[[[0.00000000e+00 0.00000000e+00 9.96192752e-02 8.73269718e-02 + 0.00000000e+00 0.00000000e+00 1.22531629e-01 1.08369737e-01] + [0.00000000e+00 0.00000000e+00 3.96232255e-02 4.06693988e-02 + 0.00000000e+00 0.00000000e+00 4.05462699e-02 4.27784993e-02]] - [[1.61183126e-01 1.04230514e-01 0.00000000e+00 0.00000000e+00 - 0.00000000e+00 0.00000000e+00 1.44201248e-01 1.81229137e-01] - [3.27108545e-02 2.47790234e-02 0.00000000e+00 0.00000000e+00 - 0.00000000e+00 0.00000000e+00 3.41467422e-02 2.20454077e-02]] + [[8.73269718e-02 9.96192752e-02 0.00000000e+00 0.00000000e+00 + 0.00000000e+00 0.00000000e+00 7.09506871e-02 5.27825729e-02] + [4.06693988e-02 3.96232255e-02 0.00000000e+00 0.00000000e+00 + 0.00000000e+00 0.00000000e+00 6.11228272e-02 5.88727441e-02]] - [[0.00000000e+00 0.00000000e+00 1.39355660e-01 9.70875893e-02 - 1.00498756e-01 1.50419414e-01 0.00000000e+00 0.00000000e+00] - [0.00000000e+00 0.00000000e+00 1.56204994e-02 3.27719392e-02 - 3.24961536e-02 4.84148737e-02 0.00000000e+00 0.00000000e+00]] + [[0.00000000e+00 0.00000000e+00 1.00279609e-01 1.31209756e-01 + 1.08369737e-01 1.22531629e-01 0.00000000e+00 0.00000000e+00] + [0.00000000e+00 0.00000000e+00 6.05475020e-02 4.87442304e-02 + 4.27784993e-02 4.05462699e-02 0.00000000e+00 0.00000000e+00]] - [[9.70875893e-02 1.39355660e-01 0.00000000e+00 0.00000000e+00 - 1.81229137e-01 1.44201248e-01 0.00000000e+00 0.00000000e+00] - [3.27719392e-02 1.56204994e-02 0.00000000e+00 0.00000000e+00 - 2.20454077e-02 3.41467422e-02 0.00000000e+00 0.00000000e+00]]] + [[1.31209756e-01 1.00279609e-01 0.00000000e+00 0.00000000e+00 + 5.27825729e-02 7.09506871e-02 0.00000000e+00 0.00000000e+00] + [4.87442304e-02 6.05475020e-02 0.00000000e+00 0.00000000e+00 + 5.88727441e-02 6.11228272e-02 0.00000000e+00 0.00000000e+00]]] domain=1 type=diffusion-coefficient -[1.07648340e+00 2.91048451e-01] -[1.02946730e-01 2.59101197e-02] +[1.05868408e+00 3.16416542e-01] +[7.23607812e-02 4.82261806e-02] domain=1 type=nu-diffusion-coefficient -[1.07648340e+00 2.91048451e-01] -[1.02946730e-01 2.59101197e-02] +[1.05868408e+00 3.16416542e-01] +[7.23607812e-02 4.82261806e-02] domain=1 type=delayed-nu-fission -[[1.27862358e-06 3.04521075e-05] - [7.84219053e-06 1.57184471e-04] - [8.19703020e-06 1.50062017e-04] - [2.11585246e-05 3.36451683e-04] - [1.15983232e-05 1.37940708e-04] - [4.75823112e-06 5.77828684e-05]] -[[8.24665595e-08 1.78649023e-06] - [5.11270396e-07 9.22131636e-06] - [5.43215007e-07 8.80347339e-06] - [1.44919046e-06 1.97381285e-05] - [8.56858673e-07 8.09236929e-06] - [3.49663884e-07 3.38986452e-06]] +[[1.33370452e-06 3.15928985e-05] + [8.06563789e-06 1.63072885e-04] + [8.37555675e-06 1.55683610e-04] + [2.14225848e-05 3.49055766e-04] + [1.15633419e-05 1.43108212e-04] + [4.74849054e-06 5.99475175e-05]] +[[5.58190638e-08 3.43966581e-06] + [2.80924725e-07 1.77545031e-05] + [2.81900859e-07 1.69499982e-05] + [7.44207592e-07 3.80033227e-05] + [4.95821820e-07 1.55808550e-05] + [2.00315983e-07 6.52676436e-06]] domain=1 type=chi-delayed [[0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00] - [0.00000000e+00 0.00000000e+00] + [1.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00]] [[0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00] - [0.00000000e+00 0.00000000e+00] + [1.41421356e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00]] domain=1 type=beta -[[2.24289169e-04 2.27713711e-04] - [1.37563425e-03 1.17538857e-03] - [1.43787829e-03 1.12212853e-03] - [3.71151288e-03 2.51590669e-03] - [2.03451453e-03 1.03148823e-03] - [8.34662928e-04 4.32086724e-04]] -[[1.75760869e-05 1.28957660e-05] - [1.08591736e-04 6.65640010e-05] - [1.14785004e-04 6.35478047e-05] - [3.03169937e-04 1.42479528e-04] - [1.75476030e-04 5.84147049e-05] - [7.17094876e-05 2.44697107e-05]] +[[2.24535003e-04 2.27713710e-04] + [1.35788550e-03 1.17538857e-03] + [1.41006170e-03 1.12212852e-03] + [3.60658609e-03 2.51590665e-03] + [1.94673931e-03 1.03148820e-03] + [7.99429201e-04 4.32086711e-04]] +[[1.15072629e-05 2.77827007e-05] + [6.20475481e-05 1.43405806e-04] + [6.31808205e-05 1.36907698e-04] + [1.64551758e-04 3.06958585e-04] + [1.01406915e-04 1.25848924e-04] + [4.11875799e-05 5.27176635e-05]] domain=1 type=decay-rate -[1.33535692e-02 3.26115957e-02 1.21057117e-01 3.05655911e-01 - 8.60999995e-01 2.89188863e+00] -[6.74373067e-04 1.71978136e-03 6.57917554e-03 1.73982053e-02 - 5.37683207e-02 1.79407115e-01] +[1.33525569e-02 3.26187089e-02 1.21041926e-01 3.05503129e-01 + 8.60433350e-01 2.88996258e+00] +[1.34484408e-03 3.11955840e-03 1.11418058e-02 2.64184722e-02 + 6.46651447e-02 2.19526509e-01] domain=1 type=delayed-nu-fission matrix [[[0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00]] @@ -207,7 +207,7 @@ domain=1 type=delayed-nu-fission matrix [0.00000000e+00 0.00000000e+00]] [[0.00000000e+00 0.00000000e+00] - [0.00000000e+00 0.00000000e+00]] + [1.49294023e-03 0.00000000e+00]] [[0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00]] @@ -224,7 +224,7 @@ domain=1 type=delayed-nu-fission matrix [0.00000000e+00 0.00000000e+00]] [[0.00000000e+00 0.00000000e+00] - [0.00000000e+00 0.00000000e+00]] + [1.49788268e-03 0.00000000e+00]] [[0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00]] diff --git a/tests/regression_tests/mgxs_library_histogram/results_true.dat b/tests/regression_tests/mgxs_library_histogram/results_true.dat index 2fa94cef58..f927d057ee 100644 --- a/tests/regression_tests/mgxs_library_histogram/results_true.dat +++ b/tests/regression_tests/mgxs_library_histogram/results_true.dat @@ -1,18 +1,18 @@ material group in group out mu bin nuclide mean std. dev. -33 1 1 1 1 total 0.032861 0.003703 -34 1 1 1 2 total 0.026428 0.003637 -35 1 1 1 3 total 0.029210 0.001648 -36 1 1 1 4 total 0.032513 0.004770 -37 1 1 1 5 total 0.030949 0.003129 -38 1 1 1 6 total 0.027124 0.004029 -39 1 1 1 7 total 0.030079 0.002186 -40 1 1 1 8 total 0.037034 0.002198 -41 1 1 1 9 total 0.038251 0.003825 -42 1 1 1 10 total 0.039294 0.003626 -43 1 1 1 11 total 0.062593 0.005934 -22 1 1 2 1 total 0.000000 0.000000 -23 1 1 2 2 total 0.000174 0.000174 -24 1 1 2 3 total 0.000348 0.000213 +33 1 1 1 1 total 0.029945 0.003043 +34 1 1 1 2 total 0.028378 0.003793 +35 1 1 1 3 total 0.033079 0.002866 +36 1 1 1 4 total 0.030119 0.002259 +37 1 1 1 5 total 0.033601 0.003739 +38 1 1 1 6 total 0.035516 0.001929 +39 1 1 1 7 total 0.032382 0.001744 +40 1 1 1 8 total 0.031860 0.002565 +41 1 1 1 9 total 0.038302 0.004757 +42 1 1 1 10 total 0.041784 0.003047 +43 1 1 1 11 total 0.057453 0.003686 +22 1 1 2 1 total 0.000174 0.000174 +23 1 1 2 2 total 0.000000 0.000000 +24 1 1 2 3 total 0.000174 0.000174 25 1 1 2 4 total 0.000174 0.000174 26 1 1 2 5 total 0.000000 0.000000 27 1 1 2 6 total 0.000000 0.000000 @@ -32,32 +32,32 @@ 19 1 2 1 9 total 0.000000 0.000000 20 1 2 1 10 total 0.000000 0.000000 21 1 2 1 11 total 0.000000 0.000000 -0 1 2 2 1 total 0.032383 0.006826 -1 1 2 2 2 total 0.037146 0.001158 -2 1 2 2 3 total 0.036193 0.004463 -3 1 2 2 4 total 0.036193 0.007028 -4 1 2 2 5 total 0.038098 0.006769 -5 1 2 2 6 total 0.024764 0.004638 -6 1 2 2 7 total 0.034288 0.008049 -7 1 2 2 8 total 0.040003 0.007350 -8 1 2 2 9 total 0.032383 0.003211 -9 1 2 2 10 total 0.050480 0.005824 -10 1 2 2 11 total 0.045718 0.013291 +0 1 2 2 1 total 0.037212 0.004892 +1 1 2 2 2 total 0.039224 0.003682 +2 1 2 2 3 total 0.044253 0.005869 +3 1 2 2 4 total 0.043247 0.004970 +4 1 2 2 5 total 0.025144 0.006632 +5 1 2 2 6 total 0.037212 0.009199 +6 1 2 2 7 total 0.035201 0.008964 +7 1 2 2 8 total 0.041235 0.009733 +8 1 2 2 9 total 0.032184 0.002384 +9 1 2 2 10 total 0.026149 0.006714 +10 1 2 2 11 total 0.035201 0.008073 material group in group out mu bin nuclide mean std. dev. -33 1 1 1 1 total 0.032861 0.003703 -34 1 1 1 2 total 0.026428 0.003637 -35 1 1 1 3 total 0.029210 0.001648 -36 1 1 1 4 total 0.032513 0.004770 -37 1 1 1 5 total 0.030949 0.003129 -38 1 1 1 6 total 0.027124 0.004029 -39 1 1 1 7 total 0.030079 0.002186 -40 1 1 1 8 total 0.037034 0.002198 -41 1 1 1 9 total 0.038251 0.003825 -42 1 1 1 10 total 0.039294 0.003626 -43 1 1 1 11 total 0.062593 0.005934 -22 1 1 2 1 total 0.000000 0.000000 -23 1 1 2 2 total 0.000174 0.000174 -24 1 1 2 3 total 0.000348 0.000213 +33 1 1 1 1 total 0.029945 0.003043 +34 1 1 1 2 total 0.028378 0.003793 +35 1 1 1 3 total 0.033079 0.002866 +36 1 1 1 4 total 0.030119 0.002259 +37 1 1 1 5 total 0.033601 0.003739 +38 1 1 1 6 total 0.035516 0.001929 +39 1 1 1 7 total 0.032382 0.001744 +40 1 1 1 8 total 0.031860 0.002565 +41 1 1 1 9 total 0.038302 0.004757 +42 1 1 1 10 total 0.041784 0.003047 +43 1 1 1 11 total 0.057453 0.003686 +22 1 1 2 1 total 0.000174 0.000174 +23 1 1 2 2 total 0.000000 0.000000 +24 1 1 2 3 total 0.000174 0.000174 25 1 1 2 4 total 0.000174 0.000174 26 1 1 2 5 total 0.000000 0.000000 27 1 1 2 6 total 0.000000 0.000000 @@ -77,33 +77,33 @@ 19 1 2 1 9 total 0.000000 0.000000 20 1 2 1 10 total 0.000000 0.000000 21 1 2 1 11 total 0.000000 0.000000 -0 1 2 2 1 total 0.032383 0.006826 -1 1 2 2 2 total 0.037146 0.001158 -2 1 2 2 3 total 0.036193 0.004463 -3 1 2 2 4 total 0.036193 0.007028 -4 1 2 2 5 total 0.038098 0.006769 -5 1 2 2 6 total 0.024764 0.004638 -6 1 2 2 7 total 0.034288 0.008049 -7 1 2 2 8 total 0.040003 0.007350 -8 1 2 2 9 total 0.032383 0.003211 -9 1 2 2 10 total 0.050480 0.005824 -10 1 2 2 11 total 0.045718 0.013291 +0 1 2 2 1 total 0.037212 0.004892 +1 1 2 2 2 total 0.039224 0.003682 +2 1 2 2 3 total 0.044253 0.005869 +3 1 2 2 4 total 0.043247 0.004970 +4 1 2 2 5 total 0.025144 0.006632 +5 1 2 2 6 total 0.037212 0.009199 +6 1 2 2 7 total 0.035201 0.008964 +7 1 2 2 8 total 0.041235 0.009733 +8 1 2 2 9 total 0.032184 0.002384 +9 1 2 2 10 total 0.026149 0.006714 +10 1 2 2 11 total 0.035201 0.008073 material group in group out mu bin nuclide mean std. dev. -33 1 1 1 1 total 0.032927 0.003848 -34 1 1 1 2 total 0.026481 0.003736 -35 1 1 1 3 total 0.029268 0.001884 -36 1 1 1 4 total 0.032578 0.004885 -37 1 1 1 5 total 0.031010 0.003280 -38 1 1 1 6 total 0.027177 0.004124 -39 1 1 1 7 total 0.030139 0.002382 -40 1 1 1 8 total 0.037108 0.002485 -41 1 1 1 9 total 0.038327 0.004013 -42 1 1 1 10 total 0.039372 0.003833 -43 1 1 1 11 total 0.062717 0.006256 -22 1 1 2 1 total 0.000000 0.000000 -23 1 1 2 2 total 0.000174 0.000174 -24 1 1 2 3 total 0.000348 0.000214 -25 1 1 2 4 total 0.000174 0.000174 +33 1 1 1 1 total 0.030147 0.003165 +34 1 1 1 2 total 0.028570 0.003893 +35 1 1 1 3 total 0.033302 0.003016 +36 1 1 1 4 total 0.030322 0.002411 +37 1 1 1 5 total 0.033828 0.003868 +38 1 1 1 6 total 0.035756 0.002159 +39 1 1 1 7 total 0.032601 0.001955 +40 1 1 1 8 total 0.032075 0.002718 +41 1 1 1 9 total 0.038560 0.004896 +42 1 1 1 10 total 0.042066 0.003262 +43 1 1 1 11 total 0.057840 0.004013 +22 1 1 2 1 total 0.000175 0.000175 +23 1 1 2 2 total 0.000000 0.000000 +24 1 1 2 3 total 0.000175 0.000175 +25 1 1 2 4 total 0.000175 0.000175 26 1 1 2 5 total 0.000000 0.000000 27 1 1 2 6 total 0.000000 0.000000 28 1 1 2 7 total 0.000000 0.000000 @@ -122,33 +122,33 @@ 19 1 2 1 9 total 0.000000 0.000000 20 1 2 1 10 total 0.000000 0.000000 21 1 2 1 11 total 0.000000 0.000000 -0 1 2 2 1 total 0.031440 0.006860 -1 1 2 2 2 total 0.036063 0.002322 -2 1 2 2 3 total 0.035138 0.004763 -3 1 2 2 4 total 0.035138 0.007105 -4 1 2 2 5 total 0.036988 0.006894 -5 1 2 2 6 total 0.024042 0.004702 -6 1 2 2 7 total 0.033289 0.008036 -7 1 2 2 8 total 0.038837 0.007464 -8 1 2 2 9 total 0.031440 0.003585 -9 1 2 2 10 total 0.049009 0.006292 -10 1 2 2 11 total 0.044385 0.013144 +0 1 2 2 1 total 0.037164 0.005797 +1 1 2 2 2 total 0.039173 0.004933 +2 1 2 2 3 total 0.044195 0.006937 +3 1 2 2 4 total 0.043191 0.006147 +4 1 2 2 5 total 0.025111 0.006951 +5 1 2 2 6 total 0.037164 0.009702 +6 1 2 2 7 total 0.035155 0.009426 +7 1 2 2 8 total 0.041182 0.010317 +8 1 2 2 9 total 0.032142 0.003598 +9 1 2 2 10 total 0.026115 0.007055 +10 1 2 2 11 total 0.035155 0.008586 material group in group out mu bin nuclide mean std. dev. -33 1 1 1 1 total 0.032927 0.004236 -34 1 1 1 2 total 0.026481 0.003998 -35 1 1 1 3 total 0.029268 0.002455 -36 1 1 1 4 total 0.032578 0.005190 -37 1 1 1 5 total 0.031010 0.003679 -38 1 1 1 6 total 0.027177 0.004376 -39 1 1 1 7 total 0.030139 0.002881 -40 1 1 1 8 total 0.037108 0.003187 -41 1 1 1 9 total 0.038327 0.004511 -42 1 1 1 10 total 0.039372 0.004379 -43 1 1 1 11 total 0.062717 0.007108 -22 1 1 2 1 total 0.000000 0.000000 -23 1 1 2 2 total 0.000174 0.000209 -24 1 1 2 3 total 0.000348 0.000315 -25 1 1 2 4 total 0.000174 0.000209 +33 1 1 1 1 total 0.030147 0.003454 +34 1 1 1 2 total 0.028570 0.004107 +35 1 1 1 3 total 0.033302 0.003381 +36 1 1 1 4 total 0.030322 0.002783 +37 1 1 1 5 total 0.033828 0.004168 +38 1 1 1 6 total 0.035756 0.002711 +39 1 1 1 7 total 0.032601 0.002461 +40 1 1 1 8 total 0.032075 0.003090 +41 1 1 1 9 total 0.038560 0.005205 +42 1 1 1 10 total 0.042066 0.003790 +43 1 1 1 11 total 0.057840 0.004811 +22 1 1 2 1 total 0.000175 0.000234 +23 1 1 2 2 total 0.000000 0.000000 +24 1 1 2 3 total 0.000175 0.000234 +25 1 1 2 4 total 0.000175 0.000234 26 1 1 2 5 total 0.000000 0.000000 27 1 1 2 6 total 0.000000 0.000000 28 1 1 2 7 total 0.000000 0.000000 @@ -167,29 +167,29 @@ 19 1 2 1 9 total 0.000000 0.000000 20 1 2 1 10 total 0.000000 0.000000 21 1 2 1 11 total 0.000000 0.000000 -0 1 2 2 1 total 0.031440 0.007170 -1 1 2 2 2 total 0.036063 0.003334 -2 1 2 2 3 total 0.035138 0.005303 -3 1 2 2 4 total 0.035138 0.007478 -4 1 2 2 5 total 0.036988 0.007318 -5 1 2 2 6 total 0.024042 0.004965 -6 1 2 2 7 total 0.033289 0.008334 -7 1 2 2 8 total 0.038837 0.007896 -8 1 2 2 9 total 0.031440 0.004148 -9 1 2 2 10 total 0.049009 0.007083 -10 1 2 2 11 total 0.044385 0.013469 +0 1 2 2 1 total 0.037164 0.006511 +1 1 2 2 2 total 0.039173 0.005840 +2 1 2 2 3 total 0.044195 0.007782 +3 1 2 2 4 total 0.043191 0.007047 +4 1 2 2 5 total 0.025111 0.007234 +5 1 2 2 6 total 0.037164 0.010146 +6 1 2 2 7 total 0.035155 0.009835 +7 1 2 2 8 total 0.041182 0.010828 +8 1 2 2 9 total 0.032142 0.004419 +9 1 2 2 10 total 0.026115 0.007356 +10 1 2 2 11 total 0.035155 0.009032 material group in group out mu bin nuclide mean std. dev. -33 2 1 1 1 total 0.026798 0.002892 -34 2 1 1 2 total 0.021339 0.003475 -35 2 1 1 3 total 0.021835 0.003963 -36 2 1 1 4 total 0.018361 0.006133 -37 2 1 1 5 total 0.023820 0.003932 -38 2 1 1 6 total 0.025805 0.003808 -39 2 1 1 7 total 0.026798 0.002299 -40 2 1 1 8 total 0.029279 0.003939 -41 2 1 1 9 total 0.034738 0.004323 -42 2 1 1 10 total 0.032753 0.006086 -43 2 1 1 11 total 0.057069 0.003798 +33 2 1 1 1 total 0.025373 0.004281 +34 2 1 1 2 total 0.023909 0.004395 +35 2 1 1 3 total 0.019518 0.003911 +36 2 1 1 4 total 0.019518 0.003424 +37 2 1 1 5 total 0.020006 0.002901 +38 2 1 1 6 total 0.024885 0.005801 +39 2 1 1 7 total 0.019030 0.002566 +40 2 1 1 8 total 0.030741 0.001410 +41 2 1 1 9 total 0.034156 0.002902 +42 2 1 1 10 total 0.042939 0.004498 +43 2 1 1 11 total 0.054650 0.003865 22 2 1 2 1 total 0.000000 0.000000 23 2 1 2 2 total 0.000000 0.000000 24 2 1 2 3 total 0.000000 0.000000 @@ -212,29 +212,29 @@ 19 2 2 1 9 total 0.000000 0.000000 20 2 2 1 10 total 0.000000 0.000000 21 2 2 1 11 total 0.000000 0.000000 -0 2 2 2 1 total 0.032254 0.009449 -1 2 2 2 2 total 0.018815 0.005569 -2 2 2 2 3 total 0.032254 0.009449 -3 2 2 2 4 total 0.024191 0.006844 -4 2 2 2 5 total 0.013439 0.008563 -5 2 2 2 6 total 0.024191 0.005365 -6 2 2 2 7 total 0.043005 0.010420 -7 2 2 2 8 total 0.032254 0.012710 -8 2 2 2 9 total 0.034942 0.007365 -9 2 2 2 10 total 0.021503 0.007051 -10 2 2 2 11 total 0.018815 0.008193 +0 2 2 2 1 total 0.026892 0.012233 +1 2 2 2 2 total 0.034959 0.007449 +2 2 2 2 3 total 0.040337 0.009144 +3 2 2 2 4 total 0.021513 0.003750 +4 2 2 2 5 total 0.018824 0.005602 +5 2 2 2 6 total 0.026892 0.004806 +6 2 2 2 7 total 0.037648 0.012716 +7 2 2 2 8 total 0.026892 0.009768 +8 2 2 2 9 total 0.024202 0.005420 +9 2 2 2 10 total 0.018824 0.010183 +10 2 2 2 11 total 0.018824 0.007033 material group in group out mu bin nuclide mean std. dev. -33 2 1 1 1 total 0.026798 0.002892 -34 2 1 1 2 total 0.021339 0.003475 -35 2 1 1 3 total 0.021835 0.003963 -36 2 1 1 4 total 0.018361 0.006133 -37 2 1 1 5 total 0.023820 0.003932 -38 2 1 1 6 total 0.025805 0.003808 -39 2 1 1 7 total 0.026798 0.002299 -40 2 1 1 8 total 0.029279 0.003939 -41 2 1 1 9 total 0.034738 0.004323 -42 2 1 1 10 total 0.032753 0.006086 -43 2 1 1 11 total 0.057069 0.003798 +33 2 1 1 1 total 0.025373 0.004281 +34 2 1 1 2 total 0.023909 0.004395 +35 2 1 1 3 total 0.019518 0.003911 +36 2 1 1 4 total 0.019518 0.003424 +37 2 1 1 5 total 0.020006 0.002901 +38 2 1 1 6 total 0.024885 0.005801 +39 2 1 1 7 total 0.019030 0.002566 +40 2 1 1 8 total 0.030741 0.001410 +41 2 1 1 9 total 0.034156 0.002902 +42 2 1 1 10 total 0.042939 0.004498 +43 2 1 1 11 total 0.054650 0.003865 22 2 1 2 1 total 0.000000 0.000000 23 2 1 2 2 total 0.000000 0.000000 24 2 1 2 3 total 0.000000 0.000000 @@ -257,29 +257,29 @@ 19 2 2 1 9 total 0.000000 0.000000 20 2 2 1 10 total 0.000000 0.000000 21 2 2 1 11 total 0.000000 0.000000 -0 2 2 2 1 total 0.032254 0.009449 -1 2 2 2 2 total 0.018815 0.005569 -2 2 2 2 3 total 0.032254 0.009449 -3 2 2 2 4 total 0.024191 0.006844 -4 2 2 2 5 total 0.013439 0.008563 -5 2 2 2 6 total 0.024191 0.005365 -6 2 2 2 7 total 0.043005 0.010420 -7 2 2 2 8 total 0.032254 0.012710 -8 2 2 2 9 total 0.034942 0.007365 -9 2 2 2 10 total 0.021503 0.007051 -10 2 2 2 11 total 0.018815 0.008193 +0 2 2 2 1 total 0.026892 0.012233 +1 2 2 2 2 total 0.034959 0.007449 +2 2 2 2 3 total 0.040337 0.009144 +3 2 2 2 4 total 0.021513 0.003750 +4 2 2 2 5 total 0.018824 0.005602 +5 2 2 2 6 total 0.026892 0.004806 +6 2 2 2 7 total 0.037648 0.012716 +7 2 2 2 8 total 0.026892 0.009768 +8 2 2 2 9 total 0.024202 0.005420 +9 2 2 2 10 total 0.018824 0.010183 +10 2 2 2 11 total 0.018824 0.007033 material group in group out mu bin nuclide mean std. dev. -33 2 1 1 1 total 0.026249 0.003012 -34 2 1 1 2 total 0.020902 0.003500 -35 2 1 1 3 total 0.021388 0.003971 -36 2 1 1 4 total 0.017986 0.006048 -37 2 1 1 5 total 0.023333 0.003958 -38 2 1 1 6 total 0.025277 0.003858 -39 2 1 1 7 total 0.026249 0.002473 -40 2 1 1 8 total 0.028680 0.004017 -41 2 1 1 9 total 0.034027 0.004437 -42 2 1 1 10 total 0.032082 0.006091 -43 2 1 1 11 total 0.055901 0.004311 +33 2 1 1 1 total 0.025753 0.004484 +34 2 1 1 2 total 0.024267 0.004581 +35 2 1 1 3 total 0.019810 0.004060 +36 2 1 1 4 total 0.019810 0.003579 +37 2 1 1 5 total 0.020305 0.003071 +38 2 1 1 6 total 0.025258 0.005987 +39 2 1 1 7 total 0.019315 0.002734 +40 2 1 1 8 total 0.031201 0.001961 +41 2 1 1 9 total 0.034668 0.003301 +42 2 1 1 10 total 0.043582 0.004935 +43 2 1 1 11 total 0.055468 0.004591 22 2 1 2 1 total 0.000000 0.000000 23 2 1 2 2 total 0.000000 0.000000 24 2 1 2 3 total 0.000000 0.000000 @@ -302,29 +302,29 @@ 19 2 2 1 9 total 0.000000 0.000000 20 2 2 1 10 total 0.000000 0.000000 21 2 2 1 11 total 0.000000 0.000000 -0 2 2 2 1 total 0.032230 0.009604 -1 2 2 2 2 total 0.018801 0.005658 -2 2 2 2 3 total 0.032230 0.009604 -3 2 2 2 4 total 0.024172 0.006964 -4 2 2 2 5 total 0.013429 0.008588 -5 2 2 2 6 total 0.024172 0.005520 -6 2 2 2 7 total 0.042973 0.010671 -7 2 2 2 8 total 0.032230 0.012821 -8 2 2 2 9 total 0.034915 0.007601 -9 2 2 2 10 total 0.021486 0.007142 -10 2 2 2 11 total 0.018801 0.008251 +0 2 2 2 1 total 0.026854 0.012543 +1 2 2 2 2 total 0.034911 0.008307 +2 2 2 2 3 total 0.040281 0.010079 +3 2 2 2 4 total 0.021483 0.004382 +4 2 2 2 5 total 0.018798 0.005938 +5 2 2 2 6 total 0.026854 0.005579 +6 2 2 2 7 total 0.037596 0.013308 +7 2 2 2 8 total 0.026854 0.010161 +8 2 2 2 9 total 0.024169 0.005987 +9 2 2 2 10 total 0.018798 0.010362 +10 2 2 2 11 total 0.018798 0.007300 material group in group out mu bin nuclide mean std. dev. -33 2 1 1 1 total 0.026249 0.003460 -34 2 1 1 2 total 0.020902 0.003754 -35 2 1 1 3 total 0.021388 0.004206 -36 2 1 1 4 total 0.017986 0.006160 -37 2 1 1 5 total 0.023333 0.004238 -38 2 1 1 6 total 0.025277 0.004192 -39 2 1 1 7 total 0.026249 0.003003 -40 2 1 1 8 total 0.028680 0.004427 -41 2 1 1 9 total 0.034027 0.004956 -42 2 1 1 10 total 0.032082 0.006437 -43 2 1 1 11 total 0.055901 0.005636 +33 2 1 1 1 total 0.025753 0.004661 +34 2 1 1 2 total 0.024267 0.004736 +35 2 1 1 3 total 0.019810 0.004177 +36 2 1 1 4 total 0.019810 0.003711 +37 2 1 1 5 total 0.020305 0.003231 +38 2 1 1 6 total 0.025258 0.006117 +39 2 1 1 7 total 0.019315 0.002897 +40 2 1 1 8 total 0.031201 0.002497 +41 2 1 1 9 total 0.034668 0.003721 +42 2 1 1 10 total 0.043582 0.005386 +43 2 1 1 11 total 0.055468 0.005350 22 2 1 2 1 total 0.000000 0.000000 23 2 1 2 2 total 0.000000 0.000000 24 2 1 2 3 total 0.000000 0.000000 @@ -347,40 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total 0.006819 0.000431 -35 3 1 1 3 total 0.005511 0.000591 -36 3 1 1 4 total 0.006165 0.000470 -37 3 1 1 5 total 0.007660 0.000919 -38 3 1 1 6 total 0.012237 0.000938 -39 3 1 1 7 total 0.040914 0.002235 -40 3 1 1 8 total 0.074356 0.001968 -41 3 1 1 9 total 0.121622 0.004662 -42 3 1 1 10 total 0.158707 0.004147 -43 3 1 1 11 total 0.200742 0.007791 -22 3 1 2 1 total 0.000187 0.000187 -23 3 1 2 2 total 0.001028 0.000096 -24 3 1 2 3 total 0.000841 0.000176 -25 3 1 2 4 total 0.000841 0.000310 -26 3 1 2 5 total 0.001308 0.000274 -27 3 1 2 6 total 0.003736 0.000538 -28 3 1 2 7 total 0.003830 0.000703 -29 3 1 2 8 total 0.006259 0.000452 -30 3 1 2 9 total 0.005231 0.000510 -31 3 1 2 10 total 0.005044 0.000440 -32 3 1 2 11 total 0.002522 0.000194 +33 3 1 1 1 total 0.007681 0.001043 +34 3 1 1 2 total 0.005645 0.000710 +35 3 1 1 3 total 0.007403 0.000552 +36 3 1 1 4 total 0.007866 0.000512 +37 3 1 1 5 total 0.007589 0.000524 +38 3 1 1 6 total 0.011198 0.001548 +39 3 1 1 7 total 0.039701 0.002533 +40 3 1 1 8 total 0.075978 0.001897 +41 3 1 1 9 total 0.112532 0.003677 +42 3 1 1 10 total 0.166670 0.005003 +43 3 1 1 11 total 0.210443 0.005656 +22 3 1 2 1 total 0.000463 0.000207 +23 3 1 2 2 total 0.000555 0.000227 +24 3 1 2 3 total 0.000740 0.000429 +25 3 1 2 4 total 0.001111 0.000236 +26 3 1 2 5 total 0.002128 0.000631 +27 3 1 2 6 total 0.003146 0.000645 +28 3 1 2 7 total 0.004905 0.000561 +29 3 1 2 8 total 0.005738 0.000742 +30 3 1 2 9 total 0.005090 0.000672 +31 3 1 2 10 total 0.005367 0.000561 +32 3 1 2 11 total 0.002406 0.000593 11 3 2 1 1 total 0.000000 0.000000 12 3 2 1 2 total 0.000000 0.000000 13 3 2 1 3 total 0.000000 0.000000 @@ -390,42 +390,42 @@ 17 3 2 1 7 total 0.000000 0.000000 18 3 2 1 8 total 0.000000 0.000000 19 3 2 1 9 total 0.000000 0.000000 -20 3 2 1 10 total 0.000467 0.000467 -21 3 2 1 11 total 0.000000 0.000000 -0 3 2 2 1 total 0.084030 0.007630 -1 3 2 2 2 total 0.099902 0.010027 -2 3 2 2 3 total 0.112040 0.010928 -3 3 2 2 4 total 0.117642 0.008523 -4 3 2 2 5 total 0.139116 0.009002 -5 3 2 2 6 total 0.161057 0.013537 -6 3 2 2 7 total 0.180664 0.010135 -7 3 2 2 8 total 0.219411 0.014717 -8 3 2 2 9 total 0.239485 0.027005 -9 3 2 2 10 total 0.281033 0.021376 -10 3 2 2 11 total 0.369731 0.027200 +20 3 2 1 10 total 0.000000 0.000000 +21 3 2 1 11 total 0.000474 0.000475 +0 3 2 2 1 total 0.074402 0.007811 +1 3 2 2 2 total 0.103783 0.009042 +2 3 2 2 3 total 0.106153 0.012691 +3 3 2 2 4 total 0.115631 0.011475 +4 3 2 2 5 total 0.128900 0.014096 +5 3 2 2 6 total 0.169655 0.021010 +6 3 2 2 7 total 0.175816 0.016086 +7 3 2 2 8 total 0.217519 0.029631 +8 3 2 2 9 total 0.247374 0.021476 +9 3 2 2 10 total 0.299977 0.031756 +10 3 2 2 11 total 0.351157 0.027654 material group in group out mu bin nuclide mean std. dev. -33 3 1 1 1 total 0.007006 0.000692 -34 3 1 1 2 total 0.006819 0.000431 -35 3 1 1 3 total 0.005511 0.000591 -36 3 1 1 4 total 0.006165 0.000470 -37 3 1 1 5 total 0.007660 0.000919 -38 3 1 1 6 total 0.012237 0.000938 -39 3 1 1 7 total 0.040914 0.002235 -40 3 1 1 8 total 0.074356 0.001968 -41 3 1 1 9 total 0.121622 0.004662 -42 3 1 1 10 total 0.158707 0.004147 -43 3 1 1 11 total 0.200742 0.007791 -22 3 1 2 1 total 0.000187 0.000187 -23 3 1 2 2 total 0.001028 0.000096 -24 3 1 2 3 total 0.000841 0.000176 -25 3 1 2 4 total 0.000841 0.000310 -26 3 1 2 5 total 0.001308 0.000274 -27 3 1 2 6 total 0.003736 0.000538 -28 3 1 2 7 total 0.003830 0.000703 -29 3 1 2 8 total 0.006259 0.000452 -30 3 1 2 9 total 0.005231 0.000510 -31 3 1 2 10 total 0.005044 0.000440 -32 3 1 2 11 total 0.002522 0.000194 +33 3 1 1 1 total 0.007681 0.001043 +34 3 1 1 2 total 0.005645 0.000710 +35 3 1 1 3 total 0.007403 0.000552 +36 3 1 1 4 total 0.007866 0.000512 +37 3 1 1 5 total 0.007589 0.000524 +38 3 1 1 6 total 0.011198 0.001548 +39 3 1 1 7 total 0.039701 0.002533 +40 3 1 1 8 total 0.075978 0.001897 +41 3 1 1 9 total 0.112532 0.003677 +42 3 1 1 10 total 0.166670 0.005003 +43 3 1 1 11 total 0.210443 0.005656 +22 3 1 2 1 total 0.000463 0.000207 +23 3 1 2 2 total 0.000555 0.000227 +24 3 1 2 3 total 0.000740 0.000429 +25 3 1 2 4 total 0.001111 0.000236 +26 3 1 2 5 total 0.002128 0.000631 +27 3 1 2 6 total 0.003146 0.000645 +28 3 1 2 7 total 0.004905 0.000561 +29 3 1 2 8 total 0.005738 0.000742 +30 3 1 2 9 total 0.005090 0.000672 +31 3 1 2 10 total 0.005367 0.000561 +32 3 1 2 11 total 0.002406 0.000593 11 3 2 1 1 total 0.000000 0.000000 12 3 2 1 2 total 0.000000 0.000000 13 3 2 1 3 total 0.000000 0.000000 @@ -435,42 +435,42 @@ 17 3 2 1 7 total 0.000000 0.000000 18 3 2 1 8 total 0.000000 0.000000 19 3 2 1 9 total 0.000000 0.000000 -20 3 2 1 10 total 0.000467 0.000467 -21 3 2 1 11 total 0.000000 0.000000 -0 3 2 2 1 total 0.084030 0.007630 -1 3 2 2 2 total 0.099902 0.010027 -2 3 2 2 3 total 0.112040 0.010928 -3 3 2 2 4 total 0.117642 0.008523 -4 3 2 2 5 total 0.139116 0.009002 -5 3 2 2 6 total 0.161057 0.013537 -6 3 2 2 7 total 0.180664 0.010135 -7 3 2 2 8 total 0.219411 0.014717 -8 3 2 2 9 total 0.239485 0.027005 -9 3 2 2 10 total 0.281033 0.021376 -10 3 2 2 11 total 0.369731 0.027200 +20 3 2 1 10 total 0.000000 0.000000 +21 3 2 1 11 total 0.000474 0.000475 +0 3 2 2 1 total 0.074402 0.007811 +1 3 2 2 2 total 0.103783 0.009042 +2 3 2 2 3 total 0.106153 0.012691 +3 3 2 2 4 total 0.115631 0.011475 +4 3 2 2 5 total 0.128900 0.014096 +5 3 2 2 6 total 0.169655 0.021010 +6 3 2 2 7 total 0.175816 0.016086 +7 3 2 2 8 total 0.217519 0.029631 +8 3 2 2 9 total 0.247374 0.021476 +9 3 2 2 10 total 0.299977 0.031756 +10 3 2 2 11 total 0.351157 0.027654 material group in group out mu bin nuclide mean std. dev. -33 3 1 1 1 total 0.007106 0.000737 -34 3 1 1 2 total 0.006917 0.000488 -35 3 1 1 3 total 0.005590 0.000624 -36 3 1 1 4 total 0.006254 0.000516 -37 3 1 1 5 total 0.007770 0.000964 -38 3 1 1 6 total 0.012412 0.001029 -39 3 1 1 7 total 0.041501 0.002618 -40 3 1 1 8 total 0.075421 0.003106 -41 3 1 1 9 total 0.123365 0.006125 -42 3 1 1 10 total 0.160981 0.006595 -43 3 1 1 11 total 0.203618 0.010185 -22 3 1 2 1 total 0.000190 0.000190 -23 3 1 2 2 total 0.001042 0.000103 -24 3 1 2 3 total 0.000853 0.000180 -25 3 1 2 4 total 0.000853 0.000316 -26 3 1 2 5 total 0.001327 0.000281 -27 3 1 2 6 total 0.003790 0.000559 -28 3 1 2 7 total 0.003885 0.000724 -29 3 1 2 8 total 0.006348 0.000500 -30 3 1 2 9 total 0.005306 0.000544 -31 3 1 2 10 total 0.005117 0.000475 -32 3 1 2 11 total 0.002558 0.000213 +33 3 1 1 1 total 0.007759 0.001080 +34 3 1 1 2 total 0.005703 0.000738 +35 3 1 1 3 total 0.007479 0.000602 +36 3 1 1 4 total 0.007946 0.000571 +37 3 1 1 5 total 0.007666 0.000578 +38 3 1 1 6 total 0.011312 0.001601 +39 3 1 1 7 total 0.040106 0.002833 +40 3 1 1 8 total 0.076753 0.003016 +41 3 1 1 9 total 0.113680 0.005068 +42 3 1 1 10 total 0.168370 0.007185 +43 3 1 1 11 total 0.212589 0.008616 +22 3 1 2 1 total 0.000467 0.000210 +23 3 1 2 2 total 0.000561 0.000230 +24 3 1 2 3 total 0.000748 0.000434 +25 3 1 2 4 total 0.001122 0.000241 +26 3 1 2 5 total 0.002150 0.000641 +27 3 1 2 6 total 0.003179 0.000659 +28 3 1 2 7 total 0.004955 0.000586 +29 3 1 2 8 total 0.005796 0.000770 +30 3 1 2 9 total 0.005142 0.000697 +31 3 1 2 10 total 0.005422 0.000590 +32 3 1 2 11 total 0.002431 0.000604 11 3 2 1 1 total 0.000000 0.000000 12 3 2 1 2 total 0.000000 0.000000 13 3 2 1 3 total 0.000000 0.000000 @@ -480,42 +480,42 @@ 17 3 2 1 7 total 0.000000 0.000000 18 3 2 1 8 total 0.000000 0.000000 19 3 2 1 9 total 0.000000 0.000000 -20 3 2 1 10 total 0.000466 0.000467 -21 3 2 1 11 total 0.000000 0.000000 -0 3 2 2 1 total 0.083912 0.007782 -1 3 2 2 2 total 0.099762 0.010188 -2 3 2 2 3 total 0.111883 0.011115 -3 3 2 2 4 total 0.117477 0.008794 -4 3 2 2 5 total 0.138921 0.009363 -5 3 2 2 6 total 0.160831 0.013853 -6 3 2 2 7 total 0.180411 0.010676 -7 3 2 2 8 total 0.219104 0.015265 -8 3 2 2 9 total 0.239149 0.027341 -9 3 2 2 10 total 0.280639 0.021991 -10 3 2 2 11 total 0.369213 0.028038 +20 3 2 1 10 total 0.000000 0.000000 +21 3 2 1 11 total 0.000477 0.000479 +0 3 2 2 1 total 0.074833 0.009685 +1 3 2 2 2 total 0.104384 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30 2 2 y-max out 1 total 0.0000 0.000000 -29 2 2 y-min in 1 total 0.1858 0.012018 -28 2 2 y-min out 1 total 0.1812 0.009583 +29 2 2 y-min in 1 total 0.1870 0.009597 +28 2 2 y-min out 1 total 0.1850 0.011256 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 4.539911 0.323493 -2 1 2 1 1 total 4.278655 0.425575 -1 2 1 1 1 total 4.674097 0.339600 -3 2 2 1 1 total 4.630700 0.312366 +0 1 1 1 1 total 4.581283 0.329623 +2 1 2 1 1 total 4.452968 0.295762 +1 2 1 1 1 total 4.469295 0.239674 +3 2 2 1 1 total 4.570894 0.218416 mesh 1 group in nuclide mean std. dev. x y z -0 1 1 1 1 total 4.538654 0.323497 -2 1 2 1 1 total 4.278494 0.425550 -1 2 1 1 1 total 4.674097 0.339600 -3 2 2 1 1 total 4.634259 0.313464 +0 1 1 1 1 total 4.580746 0.329583 +2 1 2 1 1 total 4.452519 0.295716 +1 2 1 1 1 total 4.468066 0.239680 +3 2 2 1 1 total 4.573657 0.219069 mesh 1 delayedgroup group in nuclide mean std. dev. x y z -0 1 1 1 1 1 total 0.000007 3.997262e-07 -1 1 1 1 2 1 total 0.000035 2.063264e-06 -2 1 1 1 3 1 total 0.000034 1.969771e-06 -3 1 1 1 4 1 total 0.000075 4.416388e-06 -4 1 1 1 5 1 total 0.000031 1.810657e-06 -5 1 1 1 6 1 total 0.000013 7.584779e-07 -12 1 2 1 1 1 total 0.000007 4.931656e-07 -13 1 2 1 2 1 total 0.000037 2.545569e-06 -14 1 2 1 3 1 total 0.000035 2.430221e-06 -15 1 2 1 4 1 total 0.000079 5.448757e-06 -16 1 2 1 5 1 total 0.000032 2.233913e-06 -17 1 2 1 6 1 total 0.000014 9.357785e-07 -6 2 1 1 1 1 total 0.000007 3.618632e-07 -7 2 1 1 2 1 total 0.000035 1.867826e-06 -8 2 1 1 3 1 total 0.000033 1.783189e-06 -9 2 1 1 4 1 total 0.000074 3.998058e-06 -10 2 1 1 5 1 total 0.000030 1.639147e-06 -11 2 1 1 6 1 total 0.000013 6.866331e-07 -18 2 2 1 1 1 total 0.000007 3.603080e-07 -19 2 2 1 2 1 total 0.000035 1.859799e-06 -20 2 2 1 3 1 total 0.000033 1.775526e-06 -21 2 2 1 4 1 total 0.000075 3.980875e-06 -22 2 2 1 5 1 total 0.000031 1.632103e-06 -23 2 2 1 6 1 total 0.000013 6.836821e-07 +0 1 1 1 1 1 total 0.000007 3.812309e-07 +1 1 1 1 2 1 total 0.000036 1.967797e-06 +2 1 1 1 3 1 total 0.000034 1.878630e-06 +3 1 1 1 4 1 total 0.000077 4.212043e-06 +4 1 1 1 5 1 total 0.000031 1.726878e-06 +5 1 1 1 6 1 total 0.000013 7.233832e-07 +12 1 2 1 1 1 total 0.000007 3.663985e-07 +13 1 2 1 2 1 total 0.000035 1.891236e-06 +14 1 2 1 3 1 total 0.000034 1.805539e-06 +15 1 2 1 4 1 total 0.000076 4.048166e-06 +16 1 2 1 5 1 total 0.000031 1.659691e-06 +17 1 2 1 6 1 total 0.000013 6.952388e-07 +6 2 1 1 1 1 total 0.000007 3.123173e-07 +7 2 1 1 2 1 total 0.000035 1.612086e-06 +8 2 1 1 3 1 total 0.000034 1.539037e-06 +9 2 1 1 4 1 total 0.000076 3.450649e-06 +10 2 1 1 5 1 total 0.000031 1.414717e-06 +11 2 1 1 6 1 total 0.000013 5.926201e-07 +18 2 2 1 1 1 total 0.000007 2.946716e-07 +19 2 2 1 2 1 total 0.000036 1.521004e-06 +20 2 2 1 3 1 total 0.000034 1.452083e-06 +21 2 2 1 4 1 total 0.000076 3.255689e-06 +22 2 2 1 5 1 total 0.000031 1.334787e-06 +23 2 2 1 6 1 total 0.000013 5.591374e-07 mesh 1 delayedgroup group out nuclide mean std. dev. x y z -0 1 1 1 1 1 total 0.0 0.000000 -1 1 1 1 2 1 total 1.0 0.866877 -2 1 1 1 3 1 total 1.0 0.866877 -3 1 1 1 4 1 total 1.0 1.414214 -4 1 1 1 5 1 total 1.0 1.414214 +0 1 1 1 1 1 total 1.0 1.414214 +1 1 1 1 2 1 total 0.0 0.000000 +2 1 1 1 3 1 total 0.0 0.000000 +3 1 1 1 4 1 total 1.0 0.578922 +4 1 1 1 5 1 total 0.0 0.000000 5 1 1 1 6 1 total 0.0 0.000000 12 1 2 1 1 1 total 0.0 0.000000 -13 1 2 1 2 1 total 0.0 0.000000 -14 1 2 1 3 1 total 0.0 0.000000 -15 1 2 1 4 1 total 1.0 0.579346 -16 1 2 1 5 1 total 1.0 1.414214 +13 1 2 1 2 1 total 1.0 0.578922 +14 1 2 1 3 1 total 1.0 1.414214 +15 1 2 1 4 1 total 1.0 1.414214 +16 1 2 1 5 1 total 1.0 0.875472 17 1 2 1 6 1 total 1.0 1.414214 -6 2 1 1 1 1 total 1.0 1.414214 -7 2 1 1 2 1 total 1.0 1.414214 -8 2 1 1 3 1 total 1.0 0.874781 -9 2 1 1 4 1 total 0.0 0.000000 -10 2 1 1 5 1 total 0.0 0.000000 +6 2 1 1 1 1 total 0.0 0.000000 +7 2 1 1 2 1 total 0.0 0.000000 +8 2 1 1 3 1 total 1.0 1.414214 +9 2 1 1 4 1 total 1.0 0.579392 +10 2 1 1 5 1 total 1.0 1.414214 11 2 1 1 6 1 total 0.0 0.000000 -18 2 2 1 1 1 total 1.0 1.414214 -19 2 2 1 2 1 total 1.0 0.867902 -20 2 2 1 3 1 total 1.0 1.414214 -21 2 2 1 4 1 total 1.0 1.414214 +18 2 2 1 1 1 total 1.0 0.868163 +19 2 2 1 2 1 total 1.0 1.414214 +20 2 2 1 3 1 total 0.0 0.000000 +21 2 2 1 4 1 total 1.0 0.868969 22 2 2 1 5 1 total 1.0 1.414214 23 2 2 1 6 1 total 0.0 0.000000 mesh 1 delayedgroup group in nuclide mean std. dev. x y z -0 1 1 1 1 1 total 0.000221 0.000016 -1 1 1 1 2 1 total 0.001138 0.000084 -2 1 1 1 3 1 total 0.001087 0.000080 -3 1 1 1 4 1 total 0.002437 0.000180 -4 1 1 1 5 1 total 0.000999 0.000074 -5 1 1 1 6 1 total 0.000418 0.000031 -12 1 2 1 1 1 total 0.000221 0.000014 -13 1 2 1 2 1 total 0.001138 0.000073 -14 1 2 1 3 1 total 0.001087 0.000069 -15 1 2 1 4 1 total 0.002436 0.000155 -16 1 2 1 5 1 total 0.000999 0.000064 -17 1 2 1 6 1 total 0.000418 0.000027 -6 2 1 1 1 1 total 0.000220 0.000014 -7 2 1 1 2 1 total 0.001137 0.000070 -8 2 1 1 3 1 total 0.001086 0.000067 -9 2 1 1 4 1 total 0.002435 0.000150 -10 2 1 1 5 1 total 0.000998 0.000062 -11 2 1 1 6 1 total 0.000418 0.000026 -18 2 2 1 1 1 total 0.000221 0.000015 -19 2 2 1 2 1 total 0.001141 0.000078 -20 2 2 1 3 1 total 0.001089 0.000074 -21 2 2 1 4 1 total 0.002442 0.000167 -22 2 2 1 5 1 total 0.001001 0.000068 -23 2 2 1 6 1 total 0.000419 0.000029 +0 1 1 1 1 1 total 0.000221 0.000015 +1 1 1 1 2 1 total 0.001140 0.000079 +2 1 1 1 3 1 total 0.001088 0.000075 +3 1 1 1 4 1 total 0.002440 0.000169 +4 1 1 1 5 1 total 0.001001 0.000069 +5 1 1 1 6 1 total 0.000419 0.000029 +12 1 2 1 1 1 total 0.000221 0.000013 +13 1 2 1 2 1 total 0.001139 0.000066 +14 1 2 1 3 1 total 0.001088 0.000063 +15 1 2 1 4 1 total 0.002439 0.000142 +16 1 2 1 5 1 total 0.001000 0.000058 +17 1 2 1 6 1 total 0.000419 0.000024 +6 2 1 1 1 1 total 0.000220 0.000013 +7 2 1 1 2 1 total 0.001138 0.000067 +8 2 1 1 3 1 total 0.001086 0.000064 +9 2 1 1 4 1 total 0.002435 0.000144 +10 2 1 1 5 1 total 0.000998 0.000059 +11 2 1 1 6 1 total 0.000418 0.000025 +18 2 2 1 1 1 total 0.000221 0.000013 +19 2 2 1 2 1 total 0.001141 0.000066 +20 2 2 1 3 1 total 0.001090 0.000063 +21 2 2 1 4 1 total 0.002443 0.000141 +22 2 2 1 5 1 total 0.001002 0.000058 +23 2 2 1 6 1 total 0.000420 0.000024 mesh 1 delayedgroup nuclide mean std. dev. x y z -0 1 1 1 1 total 0.013336 0.000997 -1 1 1 1 2 total 0.032739 0.002447 -2 1 1 1 3 total 0.120780 0.009028 -3 1 1 1 4 total 0.302780 0.022633 -4 1 1 1 5 total 0.849490 0.063500 -5 1 1 1 6 total 2.853000 0.213262 -12 1 2 1 1 total 0.013336 0.000866 -13 1 2 1 2 total 0.032739 0.002126 -14 1 2 1 3 total 0.120780 0.007843 -15 1 2 1 4 total 0.302780 0.019661 -16 1 2 1 5 total 0.849490 0.055163 -17 1 2 1 6 total 2.853000 0.185263 -6 2 1 1 1 total 0.013336 0.000814 -7 2 1 1 2 total 0.032739 0.001999 -8 2 1 1 3 total 0.120780 0.007373 -9 2 1 1 4 total 0.302780 0.018483 -10 2 1 1 5 total 0.849490 0.051857 -11 2 1 1 6 total 2.853000 0.174163 -18 2 2 1 1 total 0.013336 0.000896 -19 2 2 1 2 total 0.032739 0.002200 -20 2 2 1 3 total 0.120780 0.008117 -21 2 2 1 4 total 0.302780 0.020349 -22 2 2 1 5 total 0.849490 0.057091 -23 2 2 1 6 total 2.853000 0.191738 +0 1 1 1 1 total 0.013336 0.000919 +1 1 1 1 2 total 0.032739 0.002257 +2 1 1 1 3 total 0.120780 0.008325 +3 1 1 1 4 total 0.302780 0.020871 +4 1 1 1 5 total 0.849490 0.058555 +5 1 1 1 6 total 2.853000 0.196656 +12 1 2 1 1 total 0.013336 0.000770 +13 1 2 1 2 total 0.032739 0.001891 +14 1 2 1 3 total 0.120780 0.006977 +15 1 2 1 4 total 0.302780 0.017490 +16 1 2 1 5 total 0.849490 0.049071 +17 1 2 1 6 total 2.853000 0.164804 +6 2 1 1 1 total 0.013336 0.000790 +7 2 1 1 2 total 0.032739 0.001940 +8 2 1 1 3 total 0.120780 0.007157 +9 2 1 1 4 total 0.302780 0.017942 +10 2 1 1 5 total 0.849490 0.050338 +11 2 1 1 6 total 2.853000 0.169061 +18 2 2 1 1 total 0.013336 0.000757 +19 2 2 1 2 total 0.032739 0.001858 +20 2 2 1 3 total 0.120780 0.006855 +21 2 2 1 4 total 0.302780 0.017186 +22 2 2 1 5 total 0.849490 0.048217 +23 2 2 1 6 total 2.853000 0.161935 mesh 1 delayedgroup group in group out nuclide mean std. dev. x y z -0 1 1 1 1 1 1 total 0.000000 0.000000 -1 1 1 1 2 1 1 total 0.000056 0.000034 -2 1 1 1 3 1 1 total 0.000056 0.000034 -3 1 1 1 4 1 1 total 0.000029 0.000029 -4 1 1 1 5 1 1 total 0.000026 0.000026 +0 1 1 1 1 1 1 total 0.000026 0.000026 +1 1 1 1 2 1 1 total 0.000000 0.000000 +2 1 1 1 3 1 1 total 0.000000 0.000000 +3 1 1 1 4 1 1 total 0.000083 0.000034 +4 1 1 1 5 1 1 total 0.000000 0.000000 5 1 1 1 6 1 1 total 0.000000 0.000000 12 1 2 1 1 1 1 total 0.000000 0.000000 -13 1 2 1 2 1 1 total 0.000000 0.000000 -14 1 2 1 3 1 1 total 0.000000 0.000000 -15 1 2 1 4 1 1 total 0.000079 0.000033 -16 1 2 1 5 1 1 total 0.000032 0.000032 -17 1 2 1 6 1 1 total 0.000032 0.000032 -6 2 1 1 1 1 1 total 0.000029 0.000029 -7 2 1 1 2 1 1 total 0.000027 0.000027 -8 2 1 1 3 1 1 total 0.000058 0.000036 -9 2 1 1 4 1 1 total 0.000000 0.000000 -10 2 1 1 5 1 1 total 0.000000 0.000000 +13 1 2 1 2 1 1 total 0.000081 0.000033 +14 1 2 1 3 1 1 total 0.000026 0.000026 +15 1 2 1 4 1 1 total 0.000026 0.000026 +16 1 2 1 5 1 1 total 0.000059 0.000036 +17 1 2 1 6 1 1 total 0.000033 0.000033 +6 2 1 1 1 1 1 total 0.000000 0.000000 +7 2 1 1 2 1 1 total 0.000000 0.000000 +8 2 1 1 3 1 1 total 0.000032 0.000032 +9 2 1 1 4 1 1 total 0.000080 0.000033 +10 2 1 1 5 1 1 total 0.000028 0.000028 11 2 1 1 6 1 1 total 0.000000 0.000000 -18 2 2 1 1 1 1 total 0.000027 0.000027 -19 2 2 1 2 1 1 total 0.000056 0.000035 -20 2 2 1 3 1 1 total 0.000028 0.000028 -21 2 2 1 4 1 1 total 0.000030 0.000030 -22 2 2 1 5 1 1 total 0.000033 0.000033 +18 2 2 1 1 1 1 total 0.000054 0.000033 +19 2 2 1 2 1 1 total 0.000029 0.000029 +20 2 2 1 3 1 1 total 0.000000 0.000000 +21 2 2 1 4 1 1 total 0.000054 0.000033 +22 2 2 1 5 1 1 total 0.000032 0.000032 23 2 2 1 6 1 1 total 0.000000 0.000000 diff --git a/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat b/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat index c0dba7c0fb..aec8e8bbc1 100644 --- a/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat +++ b/tests/regression_tests/mgxs_library_no_nuclides/results_true.dat @@ -1,227 +1,227 @@ total material group in nuclide mean std. dev. -1 1 1 total 0.413814 0.018434 -0 1 2 total 0.663001 0.012535 +1 1 1 total 0.422772 0.014069 +0 1 2 total 0.661309 0.049458 transport material group in nuclide mean std. dev. -1 1 1 total 0.369730 0.019494 -0 1 2 total 0.643777 0.018246 +1 1 1 total 0.383831 0.015331 +0 1 2 total 0.679181 0.050786 nu-transport material group in nuclide mean std. dev. -1 1 1 total 0.369730 0.019494 -0 1 2 total 0.643777 0.018246 +1 1 1 total 0.383831 0.015331 +0 1 2 total 0.679181 0.050786 absorption material group in nuclide mean std. dev. -1 1 1 total 0.026013 0.001851 -0 1 2 total 0.267233 0.007475 +1 1 1 total 0.027181 0.001539 +0 1 2 total 0.265559 0.020699 reduced absorption material group in nuclide mean std. dev. -1 1 1 total 0.025932 0.001850 -0 1 2 total 0.267233 0.007475 +1 1 1 total 0.027162 0.001538 +0 1 2 total 0.265559 0.020699 capture material group in nuclide mean std. dev. -1 1 1 total 0.018869 0.001758 -0 1 2 total 0.072358 0.008204 +1 1 1 total 0.019717 0.001492 +0 1 2 total 0.072029 0.019378 fission material group in nuclide mean std. dev. -1 1 1 total 0.007144 0.000317 -0 1 2 total 0.194875 0.005528 +1 1 1 total 0.007464 0.000222 +0 1 2 total 0.193530 0.015119 nu-fission material group in nuclide mean std. dev. -1 1 1 total 0.018243 0.000827 -0 1 2 total 0.474851 0.013471 +1 1 1 total 0.018925 0.000543 +0 1 2 total 0.471574 0.036840 kappa-fission material group in nuclide mean std. dev. -1 1 1 total 1.391782e+06 6.192598e+04 -0 1 2 total 3.768981e+07 1.069211e+06 +1 1 1 total 1.453014e+06 4.287190e+04 +0 1 2 total 3.742974e+07 2.924022e+06 scatter material group in nuclide mean std. dev. -1 1 1 total 0.387802 0.017462 -0 1 2 total 0.395768 0.007541 +1 1 1 total 0.395591 0.013417 +0 1 2 total 0.395750 0.029309 nu-scatter material group in nuclide mean std. dev. -1 1 1 total 0.387032 0.024325 -0 1 2 total 0.407651 0.016266 +1 1 1 total 0.392941 0.019689 +0 1 2 total 0.396262 0.027471 scatter matrix material group in group out legendre nuclide mean std. dev. -12 1 1 1 P0 total 0.386336 0.024297 -13 1 1 1 P1 total 0.044084 0.006343 -14 1 1 1 P2 total 0.027336 0.006403 -15 1 1 1 P3 total 0.011672 0.004897 -8 1 1 2 P0 total 0.000695 0.000327 -9 1 1 2 P1 total -0.000359 0.000201 -10 1 1 2 P2 total -0.000047 0.000081 -11 1 1 2 P3 total 0.000239 0.000099 +12 1 1 1 P0 total 0.392419 0.019837 +13 1 1 1 P1 total 0.038941 0.006089 +14 1 1 1 P2 total 0.019512 0.003548 +15 1 1 1 P3 total 0.012951 0.002399 +8 1 1 2 P0 total 0.000522 0.000349 +9 1 1 2 P1 total -0.000301 0.000185 +10 1 1 2 P2 total 0.000045 0.000147 +11 1 1 2 P3 total 0.000069 0.000162 4 1 2 1 P0 total 0.000000 0.000000 5 1 2 1 P1 total 0.000000 0.000000 6 1 2 1 P2 total 0.000000 0.000000 7 1 2 1 P3 total 0.000000 0.000000 -0 1 2 2 P0 total 0.407651 0.016266 -1 1 2 2 P1 total 0.021192 0.013171 -2 1 2 2 P2 total 0.010327 0.017230 -3 1 2 2 P3 total 0.005148 0.013732 +0 1 2 2 P0 total 0.396262 0.027471 +1 1 2 2 P1 total -0.016133 0.010911 +2 1 2 2 P2 total -0.001147 0.010536 +3 1 2 2 P3 total 0.005359 0.008143 nu-scatter matrix material group in group out legendre nuclide mean std. dev. -12 1 1 1 P0 total 0.386336 0.024297 -13 1 1 1 P1 total 0.044084 0.006343 -14 1 1 1 P2 total 0.027336 0.006403 -15 1 1 1 P3 total 0.011672 0.004897 -8 1 1 2 P0 total 0.000695 0.000327 -9 1 1 2 P1 total -0.000359 0.000201 -10 1 1 2 P2 total -0.000047 0.000081 -11 1 1 2 P3 total 0.000239 0.000099 +12 1 1 1 P0 total 0.392419 0.019837 +13 1 1 1 P1 total 0.038941 0.006089 +14 1 1 1 P2 total 0.019512 0.003548 +15 1 1 1 P3 total 0.012951 0.002399 +8 1 1 2 P0 total 0.000522 0.000349 +9 1 1 2 P1 total -0.000301 0.000185 +10 1 1 2 P2 total 0.000045 0.000147 +11 1 1 2 P3 total 0.000069 0.000162 4 1 2 1 P0 total 0.000000 0.000000 5 1 2 1 P1 total 0.000000 0.000000 6 1 2 1 P2 total 0.000000 0.000000 7 1 2 1 P3 total 0.000000 0.000000 -0 1 2 2 P0 total 0.407651 0.016266 -1 1 2 2 P1 total 0.021192 0.013171 -2 1 2 2 P2 total 0.010327 0.017230 -3 1 2 2 P3 total 0.005148 0.013732 +0 1 2 2 P0 total 0.396262 0.027471 +1 1 2 2 P1 total -0.016133 0.010911 +2 1 2 2 P2 total -0.001147 0.010536 +3 1 2 2 P3 total 0.005359 0.008143 multiplicity matrix material group in group out nuclide mean std. dev. -3 1 1 1 total 1.0 0.064268 -2 1 1 2 total 1.0 0.661438 +3 1 1 1 total 1.0 0.054620 +2 1 1 2 total 1.0 0.942809 1 1 2 1 total 0.0 0.000000 -0 1 2 2 total 1.0 0.050545 +0 1 2 2 total 1.0 0.080341 nu-fission matrix material group in group out nuclide mean std. dev. -3 1 1 1 total 0.024633 0.002205 +3 1 1 1 total 0.019257 0.001831 2 1 1 2 total 0.000000 0.000000 -1 1 2 1 total 0.435159 0.014743 +1 1 2 1 total 0.459401 0.022054 0 1 2 2 total 0.000000 0.000000 scatter probability matrix material group in group out nuclide mean std. dev. -3 1 1 1 total 0.998203 0.064101 -2 1 1 2 total 0.001797 0.000844 +3 1 1 1 total 0.998671 0.054518 +2 1 1 2 total 0.001329 0.000888 1 1 2 1 total 0.000000 0.000000 -0 1 2 2 total 1.000000 0.050545 +0 1 2 2 total 1.000000 0.080341 consistent scatter matrix material group in group out legendre nuclide mean std. dev. -12 1 1 1 P0 total 0.387105 0.030361 -13 1 1 1 P1 total 0.044172 0.006684 -14 1 1 1 P2 total 0.027391 0.006543 -15 1 1 1 P3 total 0.011695 0.004937 -8 1 1 2 P0 total 0.000697 0.000329 -9 1 1 2 P1 total -0.000360 0.000202 -10 1 1 2 P2 total -0.000047 0.000082 -11 1 1 2 P3 total 0.000239 0.000100 +12 1 1 1 P0 total 0.395065 0.025390 +13 1 1 1 P1 total 0.039204 0.006325 +14 1 1 1 P2 total 0.019644 0.003656 +15 1 1 1 P3 total 0.013039 0.002470 +8 1 1 2 P0 total 0.000526 0.000352 +9 1 1 2 P1 total -0.000303 0.000186 +10 1 1 2 P2 total 0.000045 0.000148 +11 1 1 2 P3 total 0.000069 0.000163 4 1 2 1 P0 total 0.000000 0.000000 5 1 2 1 P1 total 0.000000 0.000000 6 1 2 1 P2 total 0.000000 0.000000 7 1 2 1 P3 total 0.000000 0.000000 -0 1 2 2 P0 total 0.395768 0.021378 -1 1 2 2 P1 total 0.020575 0.012809 -2 1 2 2 P2 total 0.010026 0.016732 -3 1 2 2 P3 total 0.004998 0.013333 +0 1 2 2 P0 total 0.395750 0.043243 +1 1 2 2 P1 total -0.016112 0.010982 +2 1 2 2 P2 total -0.001146 0.010523 +3 1 2 2 P3 total 0.005353 0.008145 consistent nu-scatter matrix material group in group out legendre nuclide mean std. dev. -12 1 1 1 P0 total 0.387105 0.039252 -13 1 1 1 P1 total 0.044172 0.007262 -14 1 1 1 P2 total 0.027391 0.006776 -15 1 1 1 P3 total 0.011695 0.004994 -8 1 1 2 P0 total 0.000697 0.000566 -9 1 1 2 P1 total -0.000360 0.000313 -10 1 1 2 P2 total -0.000047 0.000087 -11 1 1 2 P3 total 0.000239 0.000187 +12 1 1 1 P0 total 0.395065 0.033321 +13 1 1 1 P1 total 0.039204 0.006677 +14 1 1 1 P2 total 0.019644 0.003810 +15 1 1 1 P3 total 0.013039 0.002571 +8 1 1 2 P0 total 0.000526 0.000608 +9 1 1 2 P1 total -0.000303 0.000341 +10 1 1 2 P2 total 0.000045 0.000154 +11 1 1 2 P3 total 0.000069 0.000175 4 1 2 1 P0 total 0.000000 0.000000 5 1 2 1 P1 total 0.000000 0.000000 6 1 2 1 P2 total 0.000000 0.000000 7 1 2 1 P3 total 0.000000 0.000000 -0 1 2 2 P0 total 0.395768 0.029278 -1 1 2 2 P1 total 0.020575 0.012851 -2 1 2 2 P2 total 0.010026 0.016739 -3 1 2 2 P3 total 0.004998 0.013335 +0 1 2 2 P0 total 0.395750 0.053673 +1 1 2 2 P1 total -0.016112 0.011058 +2 1 2 2 P2 total -0.001146 0.010523 +3 1 2 2 P3 total 0.005353 0.008157 chi material group out nuclide mean std. dev. -1 1 1 total 1.0 0.039887 +1 1 1 total 1.0 0.015644 0 1 2 total 0.0 0.000000 chi-prompt material group out nuclide mean std. dev. -1 1 1 total 1.0 0.039887 +1 1 1 total 1.0 0.017529 0 1 2 total 0.0 0.000000 inverse-velocity material group in nuclide mean std. dev. -1 1 1 total 5.956290e-08 2.255751e-09 -0 1 2 total 2.886630e-06 7.418452e-08 +1 1 1 total 6.047675e-08 4.367288e-09 +0 1 2 total 2.861927e-06 2.241423e-07 prompt-nu-fission material group in nuclide mean std. dev. -1 1 1 total 0.018067 0.000817 -0 1 2 total 0.471762 0.013383 +1 1 1 total 0.018748 0.00054 +0 1 2 total 0.468507 0.03660 prompt-nu-fission matrix material group in group out nuclide mean std. dev. -3 1 1 1 total 0.024633 0.002205 +3 1 1 1 total 0.019049 0.001675 2 1 1 2 total 0.000000 0.000000 -1 1 2 1 total 0.435159 0.014743 +1 1 2 1 total 0.454399 0.022578 0 1 2 2 total 0.000000 0.000000 diffusion-coefficient material group in nuclide mean std. dev. -1 1 1 total 0.901559 0.047536 -0 1 2 total 0.517778 0.014675 +1 1 1 total 0.868438 0.034686 +0 1 2 total 0.490787 0.036698 nu-diffusion-coefficient material group in nuclide mean std. dev. -1 1 1 total 0.901559 0.047536 -0 1 2 total 0.517778 0.014675 +1 1 1 total 0.868438 0.034686 +0 1 2 total 0.490787 0.036698 (n,elastic) material group in nuclide mean std. dev. -1 1 1 total 0.360179 0.016169 -0 1 2 total 0.395768 0.007541 +1 1 1 total 0.368341 0.013033 +0 1 2 total 0.395750 0.029309 (n,level) material group in nuclide mean std. dev. -1 1 1 total 0.000568 0.000028 +1 1 1 total 0.000518 0.000016 0 1 2 total 0.000000 0.000000 (n,2n) material group in nuclide mean std. dev. -1 1 1 total 0.000079 0.000042 +1 1 1 total 0.000019 0.000012 0 1 2 total 0.000000 0.000000 (n,na) - material group in nuclide mean std. dev. -1 1 1 total 8.510945e-07 8.515320e-07 -0 1 2 total 0.000000e+00 0.000000e+00 + material group in nuclide mean std. dev. +1 1 1 total 0.0 0.0 +0 1 2 total 0.0 0.0 (n,nc) material group in nuclide mean std. dev. -1 1 1 total 0.008258 0.000928 +1 1 1 total 0.007599 0.000559 0 1 2 total 0.000000 0.000000 (n,gamma) material group in nuclide mean std. dev. -1 1 1 total 0.018749 0.001838 -0 1 2 total 0.072358 0.001951 +1 1 1 total 0.019608 0.001470 +0 1 2 total 0.072029 0.005584 (n,a) material group in nuclide mean std. dev. -1 1 1 total 0.000119 0.000023 -0 1 2 total 0.000000 0.000000 +1 1 1 total 0.000109 0.00002 +0 1 2 total 0.000000 0.00000 (n,Xa) - material group in nuclide mean std. dev. -1 1 1 total 0.00012 0.000022 -0 1 2 total 0.00000 0.000000 + material group in nuclide mean std. dev. +1 1 1 total 0.000109 0.00002 +0 1 2 total 0.000000 0.00000 heating - material group in nuclide mean std. dev. -1 1 1 total 1.216089e+06 54827.397330 -0 1 2 total 3.262993e+07 904277.817101 + material group in nuclide mean std. dev. +1 1 1 total 1.270644e+06 3.732629e+04 +0 1 2 total 3.241569e+07 2.530346e+06 damage-energy material group in nuclide mean std. dev. -1 1 1 total 2317.176742 165.734097 -0 1 2 total 1371.933922 38.919660 +1 1 1 total 2405.735342 79.042000 +0 1 2 total 1362.470597 106.435803 (n,n1) material group in nuclide mean std. dev. -1 1 1 total 0.012055 0.000759 +1 1 1 total 0.011931 0.000455 0 1 2 total 0.000000 0.000000 (n,a0) material group in nuclide mean std. dev. -1 1 1 total 0.000109 0.000028 -0 1 2 total 0.000000 0.000000 +1 1 1 total 0.000108 0.00002 +0 1 2 total 0.000000 0.00000 (n,nc) matrix material group in group out nuclide mean std. dev. -3 1 1 1 total 0.009563 0.001002 +3 1 1 1 total 0.005745 0.001068 2 1 1 2 total 0.000000 0.000000 1 1 2 1 total 0.000000 0.000000 0 1 2 2 total 0.000000 0.000000 (n,n1) matrix material group in group out nuclide mean std. dev. -3 1 1 1 total 0.013909 0.00145 -2 1 1 2 total 0.000000 0.00000 -1 1 2 1 total 0.000000 0.00000 -0 1 2 2 total 0.000000 0.00000 +3 1 1 1 total 0.013232 0.001025 +2 1 1 2 total 0.000000 0.000000 +1 1 2 1 total 0.000000 0.000000 +0 1 2 2 total 0.000000 0.000000 (n,2n) matrix material group in group out nuclide mean std. dev. 3 1 1 1 total 0.0 0.0 @@ -230,104 +230,104 @@ damage-energy 0 1 2 2 total 0.0 0.0 delayed-nu-fission material delayedgroup group in nuclide mean std. dev. -1 1 1 1 total 0.000004 1.857100e-07 -3 1 2 1 total 0.000025 1.293123e-06 -5 1 3 1 total 0.000026 1.448812e-06 -7 1 4 1 total 0.000068 4.132525e-06 -9 1 5 1 total 0.000037 2.670208e-06 -11 1 6 1 total 0.000015 1.084541e-06 -0 1 1 2 total 0.000108 3.067510e-06 -2 1 2 2 total 0.000558 1.583355e-05 -4 1 3 2 total 0.000533 1.511609e-05 -6 1 4 2 total 0.001195 3.389154e-05 -8 1 5 2 total 0.000490 1.389508e-05 -10 1 6 2 total 0.000205 5.820598e-06 +1 1 1 1 total 0.000004 1.226367e-07 +3 1 2 1 total 0.000026 6.725093e-07 +5 1 3 1 total 0.000027 7.028316e-07 +7 1 4 1 total 0.000068 1.919534e-06 +9 1 5 1 total 0.000037 1.268939e-06 +11 1 6 1 total 0.000015 5.136452e-07 +0 1 1 2 total 0.000107 8.388866e-06 +2 1 2 2 total 0.000554 4.330076e-05 +4 1 3 2 total 0.000529 4.133869e-05 +6 1 4 2 total 0.001186 9.268481e-05 +8 1 5 2 total 0.000486 3.799954e-05 +10 1 6 2 total 0.000204 1.591787e-05 chi-delayed material delayedgroup group out nuclide mean std. dev. -1 1 1 1 total 0.0 0.0 -3 1 2 1 total 0.0 0.0 -5 1 3 1 total 0.0 0.0 -7 1 4 1 total 0.0 0.0 -9 1 5 1 total 0.0 0.0 -11 1 6 1 total 0.0 0.0 -0 1 1 2 total 0.0 0.0 -2 1 2 2 total 0.0 0.0 -4 1 3 2 total 0.0 0.0 -6 1 4 2 total 0.0 0.0 -8 1 5 2 total 0.0 0.0 -10 1 6 2 total 0.0 0.0 +1 1 1 1 total 0.0 0.000000 +3 1 2 1 total 0.0 0.000000 +5 1 3 1 total 0.0 0.000000 +7 1 4 1 total 1.0 0.433956 +9 1 5 1 total 0.0 0.000000 +11 1 6 1 total 0.0 0.000000 +0 1 1 2 total 0.0 0.000000 +2 1 2 2 total 0.0 0.000000 +4 1 3 2 total 0.0 0.000000 +6 1 4 2 total 0.0 0.000000 +8 1 5 2 total 0.0 0.000000 +10 1 6 2 total 0.0 0.000000 beta material delayedgroup group in nuclide mean std. dev. -1 1 1 1 total 0.000223 0.000009 -3 1 2 1 total 0.001375 0.000067 -5 1 3 1 total 0.001439 0.000076 -7 1 4 1 total 0.003724 0.000217 -9 1 5 1 total 0.002049 0.000142 -11 1 6 1 total 0.000840 0.000058 -0 1 1 2 total 0.000228 0.000008 -2 1 2 2 total 0.001175 0.000041 -4 1 3 2 total 0.001122 0.000040 -6 1 4 2 total 0.002516 0.000089 -8 1 5 2 total 0.001031 0.000036 -10 1 6 2 total 0.000432 0.000015 +1 1 1 1 total 0.000225 0.000006 +3 1 2 1 total 0.001359 0.000033 +5 1 3 1 total 0.001412 0.000034 +7 1 4 1 total 0.003611 0.000094 +9 1 5 1 total 0.001950 0.000064 +11 1 6 1 total 0.000801 0.000026 +0 1 1 2 total 0.000228 0.000019 +2 1 2 2 total 0.001175 0.000096 +4 1 3 2 total 0.001122 0.000092 +6 1 4 2 total 0.002516 0.000206 +8 1 5 2 total 0.001031 0.000085 +10 1 6 2 total 0.000432 0.000035 decay-rate material delayedgroup nuclide mean std. dev. -0 1 1 total 0.013353 0.000379 -1 1 2 total 0.032612 0.001002 -2 1 3 total 0.121056 0.003938 -3 1 4 total 0.305642 0.010892 -4 1 5 total 0.860947 0.036893 -5 1 6 total 2.891708 0.122310 +0 1 1 total 0.013352 0.000905 +1 1 2 total 0.032619 0.002094 +2 1 3 total 0.121041 0.007464 +3 1 4 total 0.305491 0.017639 +4 1 5 total 0.860388 0.042833 +5 1 6 total 2.889807 0.145503 delayed-nu-fission matrix - material delayedgroup group in group out nuclide mean std. dev. -3 1 1 1 1 total 0.0 0.0 -7 1 2 1 1 total 0.0 0.0 -11 1 3 1 1 total 0.0 0.0 -15 1 4 1 1 total 0.0 0.0 -19 1 5 1 1 total 0.0 0.0 -23 1 6 1 1 total 0.0 0.0 -2 1 1 1 2 total 0.0 0.0 -6 1 2 1 2 total 0.0 0.0 -10 1 3 1 2 total 0.0 0.0 -14 1 4 1 2 total 0.0 0.0 -18 1 5 1 2 total 0.0 0.0 -22 1 6 1 2 total 0.0 0.0 -1 1 1 2 1 total 0.0 0.0 -5 1 2 2 1 total 0.0 0.0 -9 1 3 2 1 total 0.0 0.0 -13 1 4 2 1 total 0.0 0.0 -17 1 5 2 1 total 0.0 0.0 -21 1 6 2 1 total 0.0 0.0 -0 1 1 2 2 total 0.0 0.0 -4 1 2 2 2 total 0.0 0.0 -8 1 3 2 2 total 0.0 0.0 -12 1 4 2 2 total 0.0 0.0 -16 1 5 2 2 total 0.0 0.0 -20 1 6 2 2 total 0.0 0.0 + material delayedgroup group in group out nuclide mean std. dev. +3 1 1 1 1 total 0.000000 0.000000 +7 1 2 1 1 total 0.000000 0.000000 +11 1 3 1 1 total 0.000000 0.000000 +15 1 4 1 1 total 0.000207 0.000207 +19 1 5 1 1 total 0.000000 0.000000 +23 1 6 1 1 total 0.000000 0.000000 +2 1 1 1 2 total 0.000000 0.000000 +6 1 2 1 2 total 0.000000 0.000000 +10 1 3 1 2 total 0.000000 0.000000 +14 1 4 1 2 total 0.000000 0.000000 +18 1 5 1 2 total 0.000000 0.000000 +22 1 6 1 2 total 0.000000 0.000000 +1 1 1 2 1 total 0.000000 0.000000 +5 1 2 2 1 total 0.000000 0.000000 +9 1 3 2 1 total 0.000000 0.000000 +13 1 4 2 1 total 0.005002 0.001278 +17 1 5 2 1 total 0.000000 0.000000 +21 1 6 2 1 total 0.000000 0.000000 +0 1 1 2 2 total 0.000000 0.000000 +4 1 2 2 2 total 0.000000 0.000000 +8 1 3 2 2 total 0.000000 0.000000 +12 1 4 2 2 total 0.000000 0.000000 +16 1 5 2 2 total 0.000000 0.000000 +20 1 6 2 2 total 0.000000 0.000000 total material group in nuclide mean std. dev. -1 2 1 total 0.313574 0.016009 -0 2 2 total 0.300858 0.005911 +1 2 1 total 0.320478 0.012201 +0 2 2 total 0.300681 0.029685 transport material group in nuclide mean std. dev. -1 2 1 total 0.266154 0.017348 -0 2 2 total 0.300597 0.011062 +1 2 1 total 0.267653 0.015887 +0 2 2 total 0.327250 0.035614 nu-transport material group in nuclide mean std. dev. -1 2 1 total 0.266154 0.017348 -0 2 2 total 0.300597 0.011062 +1 2 1 total 0.267653 0.015887 +0 2 2 total 0.327250 0.035614 absorption - material group in nuclide mean std. dev. -1 2 1 total 0.00150 0.000118 -0 2 2 total 0.00542 0.000201 + material group in nuclide mean std. dev. +1 2 1 total 0.001040 0.000121 +0 2 2 total 0.005284 0.000548 reduced absorption material group in nuclide mean std. dev. -1 2 1 total 0.001481 0.000119 -0 2 2 total 0.005420 0.000201 +1 2 1 total 0.001040 0.000121 +0 2 2 total 0.005284 0.000548 capture - material group in nuclide mean std. dev. -1 2 1 total 0.00150 0.000118 -0 2 2 total 0.00542 0.000201 + material group in nuclide mean std. dev. +1 2 1 total 0.001040 0.000121 +0 2 2 total 0.005284 0.000548 fission material group in nuclide mean std. dev. 1 2 1 total 0.0 0.0 @@ -342,18 +342,18 @@ kappa-fission 0 2 2 total 0.0 0.0 scatter material group in nuclide mean std. dev. -1 2 1 total 0.312074 0.015934 -0 2 2 total 0.295438 0.005743 +1 2 1 total 0.319438 0.012181 +0 2 2 total 0.295397 0.029142 nu-scatter material group in nuclide mean std. dev. -1 2 1 total 0.318594 0.023203 -0 2 2 total 0.295662 0.031486 +1 2 1 total 0.314727 0.014272 +0 2 2 total 0.295807 0.038170 scatter matrix material group in group out legendre nuclide mean std. dev. -12 2 1 1 P0 total 0.318594 0.023203 -13 2 1 1 P1 total 0.047420 0.006684 -14 2 1 1 P2 total 0.029426 0.008048 -15 2 1 1 P3 total 0.007335 0.004092 +12 2 1 1 P0 total 0.314727 0.014272 +13 2 1 1 P1 total 0.052826 0.010175 +14 2 1 1 P2 total 0.033176 0.002264 +15 2 1 1 P3 total 0.006129 0.004317 8 2 1 2 P0 total 0.000000 0.000000 9 2 1 2 P1 total 0.000000 0.000000 10 2 1 2 P2 total 0.000000 0.000000 @@ -362,16 +362,16 @@ scatter matrix 5 2 2 1 P1 total 0.000000 0.000000 6 2 2 1 P2 total 0.000000 0.000000 7 2 2 1 P3 total 0.000000 0.000000 -0 2 2 2 P0 total 0.295662 0.031486 -1 2 2 2 P1 total 0.000261 0.009350 -2 2 2 2 P2 total -0.004912 0.007866 -3 2 2 2 P3 total -0.018278 0.012339 +0 2 2 2 P0 total 0.295807 0.038170 +1 2 2 2 P1 total -0.026569 0.019676 +2 2 2 2 P2 total -0.005395 0.007578 +3 2 2 2 P3 total -0.005680 0.012737 nu-scatter matrix material group in group out legendre nuclide mean std. dev. -12 2 1 1 P0 total 0.318594 0.023203 -13 2 1 1 P1 total 0.047420 0.006684 -14 2 1 1 P2 total 0.029426 0.008048 -15 2 1 1 P3 total 0.007335 0.004092 +12 2 1 1 P0 total 0.314727 0.014272 +13 2 1 1 P1 total 0.052826 0.010175 +14 2 1 1 P2 total 0.033176 0.002264 +15 2 1 1 P3 total 0.006129 0.004317 8 2 1 2 P0 total 0.000000 0.000000 9 2 1 2 P1 total 0.000000 0.000000 10 2 1 2 P2 total 0.000000 0.000000 @@ -380,16 +380,16 @@ nu-scatter matrix 5 2 2 1 P1 total 0.000000 0.000000 6 2 2 1 P2 total 0.000000 0.000000 7 2 2 1 P3 total 0.000000 0.000000 -0 2 2 2 P0 total 0.295662 0.031486 -1 2 2 2 P1 total 0.000261 0.009350 -2 2 2 2 P2 total -0.004912 0.007866 -3 2 2 2 P3 total -0.018278 0.012339 +0 2 2 2 P0 total 0.295807 0.038170 +1 2 2 2 P1 total -0.026569 0.019676 +2 2 2 2 P2 total -0.005395 0.007578 +3 2 2 2 P3 total -0.005680 0.012737 multiplicity matrix material group in group out nuclide mean std. dev. -3 2 1 1 total 1.0 0.071770 +3 2 1 1 total 1.0 0.043852 2 2 1 2 total 0.0 0.000000 1 2 2 1 total 0.0 0.000000 -0 2 2 2 total 1.0 0.103652 +0 2 2 2 total 1.0 0.139361 nu-fission matrix material group in group out nuclide mean std. dev. 3 2 1 1 total 0.0 0.0 @@ -398,16 +398,16 @@ nu-fission matrix 0 2 2 2 total 0.0 0.0 scatter probability matrix material group in group out nuclide mean std. dev. -3 2 1 1 total 1.0 0.071770 +3 2 1 1 total 1.0 0.043852 2 2 1 2 total 0.0 0.000000 1 2 2 1 total 0.0 0.000000 -0 2 2 2 total 1.0 0.103652 +0 2 2 2 total 1.0 0.139361 consistent scatter matrix material group in group out legendre nuclide mean std. dev. -12 2 1 1 P0 total 0.312074 0.027487 -13 2 1 1 P1 total 0.046450 0.006939 -14 2 1 1 P2 total 0.028824 0.008012 -15 2 1 1 P3 total 0.007185 0.004024 +12 2 1 1 P0 total 0.319438 0.018563 +13 2 1 1 P1 total 0.053616 0.010510 +14 2 1 1 P2 total 0.033673 0.002604 +15 2 1 1 P3 total 0.006221 0.004387 8 2 1 2 P0 total 0.000000 0.000000 9 2 1 2 P1 total 0.000000 0.000000 10 2 1 2 P2 total 0.000000 0.000000 @@ -416,16 +416,16 @@ consistent scatter matrix 5 2 2 1 P1 total 0.000000 0.000000 6 2 2 1 P2 total 0.000000 0.000000 7 2 2 1 P3 total 0.000000 0.000000 -0 2 2 2 P0 total 0.295438 0.031157 -1 2 2 2 P1 total 0.000261 0.009343 -2 2 2 2 P2 total -0.004909 0.007859 -3 2 2 2 P3 total -0.018264 0.012327 +0 2 2 2 P0 total 0.295397 0.050438 +1 2 2 2 P1 total -0.026532 0.019872 +2 2 2 2 P2 total -0.005388 0.007591 +3 2 2 2 P3 total -0.005672 0.012735 consistent nu-scatter matrix material group in group out legendre nuclide mean std. dev. -12 2 1 1 P0 total 0.312074 0.035456 -13 2 1 1 P1 total 0.046450 0.007699 -14 2 1 1 P2 total 0.028824 0.008274 -15 2 1 1 P3 total 0.007185 0.004057 +12 2 1 1 P0 total 0.319438 0.023255 +13 2 1 1 P1 total 0.053616 0.010769 +14 2 1 1 P2 total 0.033673 0.002993 +15 2 1 1 P3 total 0.006221 0.004396 8 2 1 2 P0 total 0.000000 0.000000 9 2 1 2 P1 total 0.000000 0.000000 10 2 1 2 P2 total 0.000000 0.000000 @@ -434,10 +434,10 @@ consistent nu-scatter matrix 5 2 2 1 P1 total 0.000000 0.000000 6 2 2 1 P2 total 0.000000 0.000000 7 2 2 1 P3 total 0.000000 0.000000 -0 2 2 2 P0 total 0.295438 0.043686 -1 2 2 2 P1 total 0.000261 0.009343 -2 2 2 2 P2 total -0.004909 0.007876 -3 2 2 2 P3 total -0.018264 0.012471 +0 2 2 2 P0 total 0.295397 0.065105 +1 2 2 2 P1 total -0.026532 0.020213 +2 2 2 2 P2 total -0.005388 0.007628 +3 2 2 2 P3 total -0.005672 0.012759 chi material group out nuclide mean std. dev. 1 2 1 total 0.0 0.0 @@ -448,8 +448,8 @@ chi-prompt 0 2 2 total 0.0 0.0 inverse-velocity material group in nuclide mean std. dev. -1 2 1 total 6.076563e-08 2.727519e-09 -0 2 2 total 2.996176e-06 1.110139e-07 +1 2 1 total 6.068670e-08 4.861582e-09 +0 2 2 total 2.921021e-06 3.028269e-07 prompt-nu-fission material group in nuclide mean std. dev. 1 2 1 total 0.0 0.0 @@ -462,72 +462,72 @@ prompt-nu-fission matrix 0 2 2 2 total 0.0 0.0 diffusion-coefficient material group in nuclide mean std. dev. -1 2 1 total 1.252406 0.081631 -0 2 2 total 1.108904 0.040809 +1 2 1 total 1.245396 0.073923 +0 2 2 total 1.018589 0.110853 nu-diffusion-coefficient material group in nuclide mean std. dev. -1 2 1 total 1.252406 0.081631 -0 2 2 total 1.108904 0.040809 +1 2 1 total 1.245396 0.073923 +0 2 2 total 1.018589 0.110853 (n,elastic) material group in nuclide mean std. dev. -1 2 1 total 0.302664 0.015531 -0 2 2 total 0.295438 0.005743 +1 2 1 total 0.310592 0.012188 +0 2 2 total 0.295397 0.029142 (n,level) material group in nuclide mean std. dev. 1 2 1 total 0.0 0.0 0 2 2 total 0.0 0.0 (n,2n) - material group in nuclide mean std. dev. -1 2 1 total 0.000019 0.000017 -0 2 2 total 0.000000 0.000000 + material group in nuclide mean std. dev. +1 2 1 total 0.0 0.0 +0 2 2 total 0.0 0.0 (n,na) material group in nuclide mean std. dev. -1 2 1 total 4.892570e-09 4.436228e-09 +1 2 1 total 2.157338e-13 1.864239e-13 0 2 2 total 0.000000e+00 0.000000e+00 (n,nc) - material group in nuclide mean std. dev. -1 2 1 total 0.001998 0.000408 -0 2 2 total 0.000000 0.000000 + material group in nuclide mean std. dev. +1 2 1 total 0.00187 0.000152 +0 2 2 total 0.00000 0.000000 (n,gamma) material group in nuclide mean std. dev. -1 2 1 total 0.001497 0.000118 -0 2 2 total 0.005419 0.000201 +1 2 1 total 0.001038 0.000121 +0 2 2 total 0.005283 0.000548 (n,a) material group in nuclide mean std. dev. -1 2 1 total 9.546292e-07 9.180854e-08 -0 2 2 total 2.736059e-07 5.318732e-09 +1 2 1 total 7.402079e-07 3.197538e-08 +0 2 2 total 2.735682e-07 2.698845e-08 (n,Xa) material group in nuclide mean std. dev. -1 2 1 total 9.595218e-07 9.558005e-08 -0 2 2 total 2.736059e-07 5.318732e-09 +1 2 1 total 7.402081e-07 3.197534e-08 +0 2 2 total 2.735682e-07 2.698845e-08 heating material group in nuclide mean std. dev. -1 2 1 total 2551.878627 212.765665 -0 2 2 total 2.332139 0.087384 +1 2 1 total 2479.710231 157.161879 +0 2 2 total 2.314706 0.265682 damage-energy - material group in nuclide mean std. dev. -1 2 1 total 1585.677533 130.382718 -0 2 2 total 0.295108 0.010079 + material group in nuclide mean std. dev. +1 2 1 total 1566.139383 61.602407 +0 2 2 total 0.288739 0.029698 (n,n1) material group in nuclide mean std. dev. -1 2 1 total 0.002835 0.000246 +1 2 1 total 0.002897 0.000181 0 2 2 total 0.000000 0.000000 (n,a0) material group in nuclide mean std. dev. -1 2 1 total 7.169006e-07 6.251188e-08 -0 2 2 total 2.733303e-07 5.313375e-09 +1 2 1 total 6.646569e-07 2.959064e-08 +0 2 2 total 2.732927e-07 2.696126e-08 (n,nc) matrix material group in group out nuclide mean std. dev. -3 2 1 1 total 0.001489 0.001491 +3 2 1 1 total 0.000488 0.000488 2 2 1 2 total 0.000000 0.000000 1 2 2 1 total 0.000000 0.000000 0 2 2 2 total 0.000000 0.000000 (n,n1) matrix - material group in group out nuclide mean std. dev. -3 2 1 1 total 0.001985 0.000507 -2 2 1 2 total 0.000000 0.000000 -1 2 2 1 total 0.000000 0.000000 -0 2 2 2 total 0.000000 0.000000 + material group in group out nuclide mean std. dev. +3 2 1 1 total 0.00244 0.001094 +2 2 1 2 total 0.00000 0.000000 +1 2 2 1 total 0.00000 0.000000 +0 2 2 2 total 0.00000 0.000000 (n,2n) matrix material group in group out nuclide mean std. dev. 3 2 1 1 total 0.0 0.0 @@ -612,28 +612,28 @@ delayed-nu-fission matrix 20 2 6 2 2 total 0.0 0.0 total material group in nuclide mean std. dev. -1 3 1 total 0.682896 0.024140 -0 3 2 total 2.032938 0.085675 +1 3 1 total 0.692034 0.019973 +0 3 2 total 2.033425 0.189463 transport material group in nuclide mean std. dev. -1 3 1 total 0.298986 0.026905 -0 3 2 total 1.471887 0.096907 +1 3 1 total 0.298754 0.021602 +0 3 2 total 1.459465 0.197868 nu-transport material group in nuclide mean std. dev. -1 3 1 total 0.298986 0.026905 -0 3 2 total 1.471887 0.096907 +1 3 1 total 0.298754 0.021602 +0 3 2 total 1.459465 0.197868 absorption material group in nuclide mean std. dev. -1 3 1 total 0.000693 0.000020 -0 3 2 total 0.031171 0.001403 +1 3 1 total 0.000699 0.000035 +0 3 2 total 0.031056 0.003017 reduced absorption material group in nuclide mean std. dev. -1 3 1 total 0.000693 0.000020 -0 3 2 total 0.031171 0.001403 +1 3 1 total 0.000699 0.000035 +0 3 2 total 0.031056 0.003017 capture material group in nuclide mean std. dev. -1 3 1 total 0.000693 0.000020 -0 3 2 total 0.031171 0.001403 +1 3 1 total 0.000699 0.000035 +0 3 2 total 0.031056 0.003017 fission material group in nuclide mean std. dev. 1 3 1 total 0.0 0.0 @@ -648,54 +648,54 @@ kappa-fission 0 3 2 total 0.0 0.0 scatter material group in nuclide mean std. dev. -1 3 1 total 0.682202 0.024123 -0 3 2 total 2.001768 0.084281 +1 3 1 total 0.691336 0.019945 +0 3 2 total 2.002368 0.186454 nu-scatter material group in nuclide mean std. dev. -1 3 1 total 0.672567 0.017434 -0 3 2 total 2.004576 0.129211 +1 3 1 total 0.684356 0.011639 +0 3 2 total 1.990840 0.178205 scatter matrix material group in group out legendre nuclide mean std. dev. -12 3 1 1 P0 total 0.641741 0.016600 -13 3 1 1 P1 total 0.383841 0.011878 -14 3 1 1 P2 total 0.149909 0.005512 -15 3 1 1 P3 total 0.004238 0.002485 -8 3 1 2 P0 total 0.030826 0.000973 -9 3 1 2 P1 total 0.009943 0.000415 -10 3 1 2 P2 total -0.003002 0.000628 -11 3 1 2 P3 total -0.004234 0.000393 -4 3 2 1 P0 total 0.000467 0.000467 -5 3 2 1 P1 total 0.000345 0.000345 -6 3 2 1 P2 total 0.000149 0.000149 -7 3 2 1 P3 total -0.000047 0.000047 -0 3 2 2 P0 total 2.004109 0.129225 -1 3 2 2 P1 total 0.511363 0.043448 -2 3 2 2 P2 total 0.108599 0.014070 -3 3 2 2 P3 total 0.035733 0.021921 +12 3 1 1 P0 total 0.652706 0.011111 +13 3 1 1 P1 total 0.393203 0.008164 +14 3 1 1 P2 total 0.162146 0.003332 +15 3 1 1 P3 total 0.014967 0.004773 +8 3 1 2 P0 total 0.031650 0.000613 +9 3 1 2 P1 total 0.009845 0.000647 +10 3 1 2 P2 total -0.003284 0.000758 +11 3 1 2 P3 total -0.003971 0.000187 +4 3 2 1 P0 total 0.000474 0.000475 +5 3 2 1 P1 total 0.000396 0.000397 +6 3 2 1 P2 total 0.000260 0.000261 +7 3 2 1 P3 total 0.000099 0.000099 +0 3 2 2 P0 total 1.990366 0.178042 +1 3 2 2 P1 total 0.523546 0.053239 +2 3 2 2 P2 total 0.101180 0.015832 +3 3 2 2 P3 total 0.017873 0.005685 nu-scatter matrix material group in group out legendre nuclide mean std. dev. -12 3 1 1 P0 total 0.641741 0.016600 -13 3 1 1 P1 total 0.383841 0.011878 -14 3 1 1 P2 total 0.149909 0.005512 -15 3 1 1 P3 total 0.004238 0.002485 -8 3 1 2 P0 total 0.030826 0.000973 -9 3 1 2 P1 total 0.009943 0.000415 -10 3 1 2 P2 total -0.003002 0.000628 -11 3 1 2 P3 total -0.004234 0.000393 -4 3 2 1 P0 total 0.000467 0.000467 -5 3 2 1 P1 total 0.000345 0.000345 -6 3 2 1 P2 total 0.000149 0.000149 -7 3 2 1 P3 total -0.000047 0.000047 -0 3 2 2 P0 total 2.004109 0.129225 -1 3 2 2 P1 total 0.511363 0.043448 -2 3 2 2 P2 total 0.108599 0.014070 -3 3 2 2 P3 total 0.035733 0.021921 +12 3 1 1 P0 total 0.652706 0.011111 +13 3 1 1 P1 total 0.393203 0.008164 +14 3 1 1 P2 total 0.162146 0.003332 +15 3 1 1 P3 total 0.014967 0.004773 +8 3 1 2 P0 total 0.031650 0.000613 +9 3 1 2 P1 total 0.009845 0.000647 +10 3 1 2 P2 total -0.003284 0.000758 +11 3 1 2 P3 total -0.003971 0.000187 +4 3 2 1 P0 total 0.000474 0.000475 +5 3 2 1 P1 total 0.000396 0.000397 +6 3 2 1 P2 total 0.000260 0.000261 +7 3 2 1 P3 total 0.000099 0.000099 +0 3 2 2 P0 total 1.990366 0.178042 +1 3 2 2 P1 total 0.523546 0.053239 +2 3 2 2 P2 total 0.101180 0.015832 +3 3 2 2 P3 total 0.017873 0.005685 multiplicity matrix material group in group out nuclide mean std. dev. -3 3 1 1 total 1.0 0.022200 -2 3 1 2 total 1.0 0.033880 +3 3 1 1 total 1.0 0.020267 +2 3 1 2 total 1.0 0.024112 1 3 2 1 total 1.0 1.414214 -0 3 2 2 total 1.0 0.066922 +0 3 2 2 total 1.0 0.093189 nu-fission matrix material group in group out nuclide mean std. dev. 3 3 1 1 total 0.0 0.0 @@ -704,46 +704,46 @@ nu-fission matrix 0 3 2 2 total 0.0 0.0 scatter probability matrix material group in group out nuclide mean std. dev. -3 3 1 1 total 0.954167 0.020729 -2 3 1 2 total 0.045833 0.001296 -1 3 2 1 total 0.000233 0.000233 -0 3 2 2 total 0.999767 0.066899 +3 3 1 1 total 0.953753 0.018903 +2 3 1 2 total 0.046247 0.001011 +1 3 2 1 total 0.000238 0.000239 +0 3 2 2 total 0.999762 0.093156 consistent scatter matrix material group in group out legendre nuclide mean std. dev. -12 3 1 1 P0 total 0.650935 0.027014 -13 3 1 1 P1 total 0.389340 0.017459 -14 3 1 1 P2 total 0.152056 0.007457 -15 3 1 1 P3 total 0.004299 0.002525 -8 3 1 2 P0 total 0.031268 0.001416 -9 3 1 2 P1 total 0.010085 0.000533 -10 3 1 2 P2 total -0.003045 0.000645 -11 3 1 2 P3 total -0.004295 0.000423 -4 3 2 1 P0 total 0.000466 0.000467 -5 3 2 1 P1 total 0.000344 0.000345 -6 3 2 1 P2 total 0.000148 0.000149 -7 3 2 1 P3 total -0.000047 0.000047 -0 3 2 2 P0 total 2.001301 0.158219 -1 3 2 2 P1 total 0.510647 0.049275 -2 3 2 2 P2 total 0.108446 0.014900 -3 3 2 2 P3 total 0.035683 0.021951 +12 3 1 1 P0 total 0.659363 0.023079 +13 3 1 1 P1 total 0.397213 0.014683 +14 3 1 1 P2 total 0.163800 0.006035 +15 3 1 1 P3 total 0.015120 0.004843 +8 3 1 2 P0 total 0.031973 0.001157 +9 3 1 2 P1 total 0.009945 0.000721 +10 3 1 2 P2 total -0.003318 0.000772 +11 3 1 2 P3 total -0.004011 0.000225 +4 3 2 1 P0 total 0.000477 0.000480 +5 3 2 1 P1 total 0.000399 0.000401 +6 3 2 1 P2 total 0.000262 0.000264 +7 3 2 1 P3 total 0.000099 0.000100 +0 3 2 2 P0 total 2.001892 0.263710 +1 3 2 2 P1 total 0.526577 0.073894 +2 3 2 2 P2 total 0.101766 0.018719 +3 3 2 2 P3 total 0.017976 0.005976 consistent nu-scatter matrix material group in group out legendre nuclide mean std. dev. -12 3 1 1 P0 total 0.650935 0.030637 -13 3 1 1 P1 total 0.389340 0.019481 -14 3 1 1 P2 total 0.152056 0.008185 -15 3 1 1 P3 total 0.004299 0.002526 -8 3 1 2 P0 total 0.031268 0.001768 -9 3 1 2 P1 total 0.010085 0.000633 -10 3 1 2 P2 total -0.003045 0.000653 -11 3 1 2 P3 total -0.004295 0.000447 -4 3 2 1 P0 total 0.000466 0.000808 -5 3 2 1 P1 total 0.000344 0.000597 -6 3 2 1 P2 total 0.000148 0.000257 -7 3 2 1 P3 total -0.000047 0.000081 -0 3 2 2 P0 total 2.001301 0.207294 -1 3 2 2 P1 total 0.510647 0.059966 -2 3 2 2 P2 total 0.108446 0.016574 -3 3 2 2 P3 total 0.035683 0.022080 +12 3 1 1 P0 total 0.659363 0.026669 +13 3 1 1 P1 total 0.397213 0.016746 +14 3 1 1 P2 total 0.163800 0.006888 +15 3 1 1 P3 total 0.015120 0.004853 +8 3 1 2 P0 total 0.031973 0.001391 +9 3 1 2 P1 total 0.009945 0.000759 +10 3 1 2 P2 total -0.003318 0.000776 +11 3 1 2 P3 total -0.004011 0.000245 +4 3 2 1 P0 total 0.000477 0.000827 +5 3 2 1 P1 total 0.000399 0.000692 +6 3 2 1 P2 total 0.000262 0.000455 +7 3 2 1 P3 total 0.000099 0.000172 +0 3 2 2 P0 total 2.001892 0.323026 +1 3 2 2 P1 total 0.526577 0.088703 +2 3 2 2 P2 total 0.101766 0.020985 +3 3 2 2 P3 total 0.017976 0.006207 chi material group out nuclide mean std. dev. 1 3 1 total 0.0 0.0 @@ -754,8 +754,8 @@ chi-prompt 0 3 2 total 0.0 0.0 inverse-velocity material group in nuclide mean std. dev. -1 3 1 total 6.023693e-08 1.678511e-09 -0 3 2 total 2.995346e-06 1.347817e-07 +1 3 1 total 6.187551e-08 3.945367e-09 +0 3 2 total 2.984343e-06 2.898715e-07 prompt-nu-fission material group in nuclide mean std. dev. 1 3 1 total 0.0 0.0 @@ -768,60 +768,60 @@ prompt-nu-fission matrix 0 3 2 2 total 0.0 0.0 diffusion-coefficient material group in nuclide mean std. dev. -1 3 1 total 1.114881 0.100326 -0 3 2 total 0.226467 0.014910 +1 3 1 total 1.115746 0.080676 +0 3 2 total 0.228394 0.030965 nu-diffusion-coefficient material group in nuclide mean std. dev. -1 3 1 total 1.114881 0.100326 -0 3 2 total 0.226467 0.014910 +1 3 1 total 1.115746 0.080676 +0 3 2 total 0.228394 0.030965 (n,elastic) material group in nuclide mean std. dev. -1 3 1 total 0.682168 0.024125 -0 3 2 total 2.001768 0.084281 +1 3 1 total 0.691333 0.019945 +0 3 2 total 2.002368 0.186454 (n,level) material group in nuclide mean std. dev. -1 3 1 total 0.000033 0.000019 +1 3 1 total 0.000003 0.000002 0 3 2 total 0.000000 0.000000 (n,2n) material group in nuclide mean std. dev. 1 3 1 total 0.0 0.0 0 3 2 total 0.0 0.0 (n,na) - material group in nuclide mean std. dev. -1 3 1 total 9.967562e-07 9.970492e-07 -0 3 2 total 0.000000e+00 0.000000e+00 + material group in nuclide mean std. dev. +1 3 1 total 0.0 0.0 +0 3 2 total 0.0 0.0 (n,nc) - material group in nuclide mean std. dev. -1 3 1 total 8.867935e-07 8.870902e-07 -0 3 2 total 0.000000e+00 0.000000e+00 + material group in nuclide mean std. dev. +1 3 1 total 0.0 0.0 +0 3 2 total 0.0 0.0 (n,gamma) material group in nuclide mean std. dev. -1 3 1 total 0.000219 0.000006 -0 3 2 total 0.010855 0.000488 +1 3 1 total 0.000225 0.000014 +0 3 2 total 0.010815 0.001050 (n,a) material group in nuclide mean std. dev. -1 3 1 total 0.000474 0.000015 -0 3 2 total 0.020316 0.000914 +1 3 1 total 0.000474 0.000021 +0 3 2 total 0.020241 0.001966 (n,Xa) material group in nuclide mean std. dev. -1 3 1 total 0.000475 0.000015 -0 3 2 total 0.020316 0.000914 +1 3 1 total 0.000474 0.000021 +0 3 2 total 0.020242 0.001966 heating material group in nuclide mean std. dev. -1 3 1 total 77986.174023 6103.108384 -0 3 2 total 59060.658662 3576.641806 +1 3 1 total 74978.139095 3970.725596 +0 3 2 total 58539.697122 6443.645451 damage-energy material group in nuclide mean std. dev. -1 3 1 total 1107.847239 59.901669 -0 3 2 total 331.691439 14.926212 +1 3 1 total 1161.596397 41.187452 +0 3 2 total 330.473159 32.100259 (n,n1) - material group in nuclide mean std. dev. -1 3 1 total 0.000001 3.988839e-07 -0 3 2 total 0.000000 0.000000e+00 + material group in nuclide mean std. dev. +1 3 1 total 2.912377e-07 3.897408e-08 +0 3 2 total 0.000000e+00 0.000000e+00 (n,a0) material group in nuclide mean std. dev. -1 3 1 total 0.000084 0.000016 -0 3 2 total 0.001278 0.000058 +1 3 1 total 0.000082 0.000009 +0 3 2 total 0.001273 0.000124 (n,nc) matrix material group in group out nuclide mean std. dev. 3 3 1 1 total 0.0 0.0 diff --git a/tests/regression_tests/mgxs_library_nuclides/results_true.dat b/tests/regression_tests/mgxs_library_nuclides/results_true.dat index c2188997d7..c05ec9b48d 100644 --- a/tests/regression_tests/mgxs_library_nuclides/results_true.dat +++ b/tests/regression_tests/mgxs_library_nuclides/results_true.dat @@ -1 +1 @@ -4ae3b5a70ad72b1be261aee3ab19e0261d1c12f4d4ca50b712d1ba76041bd5387c69fa9fa326619ad588db206cd9aaf464b0025d71ea9b8b1137af0102bca87f \ No newline at end of file +d1e4ab2c0d85bb5da617db9c7a3731494114e2fd3ba75ae8eaa1f0a36648f73fcbcfb487390789b0124719cabdcbfa84af4bb118f11bdc548d1065e1b5af836a \ No newline at end of file diff --git a/tests/regression_tests/mgxs_library_specific_nuclides/results_true.dat b/tests/regression_tests/mgxs_library_specific_nuclides/results_true.dat index eaf56b9666..0c44eb132c 100644 --- a/tests/regression_tests/mgxs_library_specific_nuclides/results_true.dat +++ b/tests/regression_tests/mgxs_library_specific_nuclides/results_true.dat @@ -1 +1 @@ -08d5c199c51496f86fdd739bf7ee0e143a9a159da0f4d364ec970557e5c1fc92a202d906dcae91812e665fd2e88dd7db1e4913ef6b91f456f23b52093c83f483 \ No newline at end of file +efcd9fd6be2ed6c98bbe5279cbacdb287597fcbbc4ed49e164b07e0861f28877b1bef2ad82d70fdac95965f7ed0d0990f77c8545718836b1b55a16b4243208d0 \ No newline at end of file diff --git a/tests/regression_tests/microxs/test_reference_materials_direct.csv b/tests/regression_tests/microxs/test_reference_materials_direct.csv index 3259d0151a..4a63fed85a 100644 --- a/tests/regression_tests/microxs/test_reference_materials_direct.csv +++ b/tests/regression_tests/microxs/test_reference_materials_direct.csv @@ -1,7 +1,7 @@ nuclides,reactions,groups,xs -U235,"(n,gamma)",1,0.14765501510184456 -U235,fission,1,1.2517200956290817 -O16,"(n,gamma)",1,0.00010872314985710938 +U235,"(n,gamma)",1,0.1475718536187164 +U235,fission,1,1.2504996049257149 +O16,"(n,gamma)",1,0.00010981236259441559 O16,fission,1,0.0 -Xe135,"(n,gamma)",1,0.014333667335215764 +Xe135,"(n,gamma)",1,0.014570546772870611 Xe135,fission,1,0.0 diff --git a/tests/regression_tests/microxs/test_reference_materials_flux.csv b/tests/regression_tests/microxs/test_reference_materials_flux.csv index 5023e0d0e6..5eb29902e4 100644 --- a/tests/regression_tests/microxs/test_reference_materials_flux.csv +++ b/tests/regression_tests/microxs/test_reference_materials_flux.csv @@ -1,7 +1,7 @@ nuclides,reactions,groups,xs -U235,"(n,gamma)",1,0.15018326758942505 -U235,fission,1,1.2603151141390958 -O16,"(n,gamma)",1,0.00012159621938463765 +U235,"(n,gamma)",1,0.15003016703758473 +U235,fission,1,1.2646269005413537 +O16,"(n,gamma)",1,0.00012069778439640301 O16,fission,1,0.0 -Xe135,"(n,gamma)",1,0.015180177095633546 +Xe135,"(n,gamma)",1,0.014820264774863562 Xe135,fission,1,0.0 diff --git a/tests/regression_tests/microxs/test_reference_mesh_direct.csv b/tests/regression_tests/microxs/test_reference_mesh_direct.csv index bd07a3237a..60160ee513 100644 --- a/tests/regression_tests/microxs/test_reference_mesh_direct.csv +++ b/tests/regression_tests/microxs/test_reference_mesh_direct.csv @@ -1,7 +1,7 @@ nuclides,reactions,groups,xs -U235,"(n,gamma)",1,0.14765501510184456 -U235,fission,1,1.2517200956290815 -O16,"(n,gamma)",1,0.00010872314985710936 +U235,"(n,gamma)",1,0.14757185361871633 +U235,fission,1,1.2504996049257142 +O16,"(n,gamma)",1,0.0001098123625944155 O16,fission,1,0.0 -Xe135,"(n,gamma)",1,0.014333667335215761 +Xe135,"(n,gamma)",1,0.0145705467728706 Xe135,fission,1,0.0 diff --git a/tests/regression_tests/microxs/test_reference_mesh_flux.csv b/tests/regression_tests/microxs/test_reference_mesh_flux.csv index d946ada802..5eb29902e4 100644 --- a/tests/regression_tests/microxs/test_reference_mesh_flux.csv +++ b/tests/regression_tests/microxs/test_reference_mesh_flux.csv @@ -1,7 +1,7 @@ nuclides,reactions,groups,xs -U235,"(n,gamma)",1,0.15018326758942507 -U235,fission,1,1.2603151141390958 -O16,"(n,gamma)",1,0.00012159621938463766 +U235,"(n,gamma)",1,0.15003016703758473 +U235,fission,1,1.2646269005413537 +O16,"(n,gamma)",1,0.00012069778439640301 O16,fission,1,0.0 -Xe135,"(n,gamma)",1,0.015180177095633546 +Xe135,"(n,gamma)",1,0.014820264774863562 Xe135,fission,1,0.0 diff --git a/tests/regression_tests/multipole/results_true.dat b/tests/regression_tests/multipole/results_true.dat index 8e82655ce5..40b42b1a05 100644 --- a/tests/regression_tests/multipole/results_true.dat +++ b/tests/regression_tests/multipole/results_true.dat @@ -1,36 +1,36 @@ k-combined: -1.354889E+00 8.437211E-03 +1.315804E+00 7.070811E-02 tally 1: -3.869969E+00 -3.000421E+00 -2.800393E+00 -1.570851E+00 -5.399091E-01 -5.842233E-02 -4.577147E-01 -4.203362E-02 +3.840178E+00 +2.953217E+00 +2.769369E+00 +1.535605E+00 +5.400560E-01 +5.840168E-02 +4.595308E-01 +4.237758E-02 0.000000E+00 0.000000E+00 -2.286465E+01 -1.045869E+02 +2.283789E+01 +1.044032E+02 0.000000E+00 0.000000E+00 -6.971793E-04 -9.724819E-08 -2.283955E+01 -1.043576E+02 -4.659256E-06 -2.170865E-11 -3.663230E+02 -2.685383E+04 -2.800393E+00 -1.570851E+00 -2.204999E+00 -9.728014E-01 -3.612213E+02 -2.611152E+04 -4.659256E-06 -2.170865E-11 +6.960971E-04 +9.704386E-08 +2.281620E+01 +1.042051E+02 +3.667073E-05 +1.048567E-09 +3.655557E+02 +2.676173E+04 +2.769369E+00 +1.535605E+00 +2.199058E+00 +9.681253E-01 +3.604950E+02 +2.602657E+04 +3.667073E-05 +1.048567E-09 Cell ID = 11 Name = @@ -38,5 +38,6 @@ Cell Region = -1 Rotation = None Temperature = [500. 700. 0. 800.] + Density = None Translation = None Volume = None diff --git a/tests/regression_tests/output/results_true.dat b/tests/regression_tests/output/results_true.dat index bbf03de943..97b997ae6b 100644 --- a/tests/regression_tests/output/results_true.dat +++ b/tests/regression_tests/output/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 diff --git a/tests/regression_tests/particle_restart_eigval/results_true.dat b/tests/regression_tests/particle_restart_eigval/results_true.dat index bd81920cae..3feeb5e74b 100644 --- a/tests/regression_tests/particle_restart_eigval/results_true.dat +++ b/tests/regression_tests/particle_restart_eigval/results_true.dat @@ -1,16 +1,16 @@ current batch: -1.100000E+01 +8.000000E+00 current generation: 1.000000E+00 particle id: -2.540000E+02 +6.000000E+01 run mode: eigenvalue particle weight: 1.000000E+00 particle energy: -2.220048E+06 +2.028153E+06 particle xyz: --4.820850E+01 2.432936E+01 4.397668E+01 +-3.678172E+01 -6.073321E+01 2.756488E+01 particle uvw: --3.148565E-01 9.184190E-01 2.395245E-01 +-3.284774E-01 -8.920284E-01 3.104639E-01 diff --git a/tests/regression_tests/particle_restart_eigval/settings.xml b/tests/regression_tests/particle_restart_eigval/settings.xml index 64b1a4dd45..de580e4c48 100644 --- a/tests/regression_tests/particle_restart_eigval/settings.xml +++ b/tests/regression_tests/particle_restart_eigval/settings.xml @@ -6,7 +6,7 @@ 12 5 1200 - + 1000000 -10 -10 -5 10 10 5 diff --git a/tests/regression_tests/particle_restart_eigval/test.py b/tests/regression_tests/particle_restart_eigval/test.py index f9d22edb8a..bad3f158c0 100644 --- a/tests/regression_tests/particle_restart_eigval/test.py +++ b/tests/regression_tests/particle_restart_eigval/test.py @@ -2,5 +2,5 @@ from tests.testing_harness import ParticleRestartTestHarness def test_particle_restart_eigval(): - harness = ParticleRestartTestHarness('particle_11_254.h5') + harness = ParticleRestartTestHarness('particle_8_60.h5') harness.main() diff --git a/tests/regression_tests/periodic/results_true.dat b/tests/regression_tests/periodic/results_true.dat index 2189597e11..626004b16b 100644 --- a/tests/regression_tests/periodic/results_true.dat +++ b/tests/regression_tests/periodic/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.623300E+00 2.572983E-02 +1.624889E+00 1.108153E-02 diff --git a/tests/regression_tests/periodic_6fold/results_true.dat b/tests/regression_tests/periodic_6fold/results_true.dat index e60182809a..04aa308781 100644 --- a/tests/regression_tests/periodic_6fold/results_true.dat +++ b/tests/regression_tests/periodic_6fold/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.858730E+00 6.824588E-03 +1.848492E+00 2.933785E-03 diff --git a/tests/regression_tests/periodic_hex/results_true.dat b/tests/regression_tests/periodic_hex/results_true.dat index 584089a15d..eff00b6e16 100644 --- a/tests/regression_tests/periodic_hex/results_true.dat +++ b/tests/regression_tests/periodic_hex/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.284468E+00 2.781588E-02 +2.285622E+00 2.576768E-03 diff --git a/tests/regression_tests/photon_production_fission/results_true.dat b/tests/regression_tests/photon_production_fission/results_true.dat index b17b3621a0..af325d4b02 100644 --- a/tests/regression_tests/photon_production_fission/results_true.dat +++ b/tests/regression_tests/photon_production_fission/results_true.dat @@ -1,12 +1,12 @@ k-combined: -2.278476E+00 6.220292E-02 +2.297165E+00 1.955494E-02 tally 1: -2.664071E+00 -2.369250E+00 +2.696393E+00 +2.423937E+00 0.000000E+00 0.000000E+00 -2.664071E+00 -2.369250E+00 +2.696393E+00 +2.423937E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -18,52 +18,52 @@ tally 1: 0.000000E+00 0.000000E+00 tally 2: -2.640755E+00 -2.326201E+00 -4.245217E+08 -6.012128E+16 +2.672029E+00 +2.380251E+00 +4.288244E+08 +6.130569E+16 0.000000E+00 0.000000E+00 -2.640755E+00 -2.326201E+00 -4.245217E+08 -6.012128E+16 +2.672029E+00 +2.380251E+00 +4.288244E+08 +6.130569E+16 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.675918E+05 -9.365733E+09 +1.711908E+05 +9.769096E+09 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.675918E+05 -9.365733E+09 +1.711908E+05 +9.769096E+09 0.000000E+00 0.000000E+00 tally 3: -2.657846E+00 -2.354717E+00 -4.245217E+08 -6.012128E+16 +2.649127E+00 +2.339294E+00 +4.288244E+08 +6.130569E+16 0.000000E+00 0.000000E+00 -2.657846E+00 -2.354717E+00 -4.245217E+08 -6.012128E+16 +2.649127E+00 +2.339294E+00 +4.288244E+08 +6.130569E+16 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.675918E+05 -9.365733E+09 +1.711908E+05 +9.769096E+09 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.675918E+05 -9.365733E+09 +1.711908E+05 +9.769096E+09 0.000000E+00 0.000000E+00 diff --git a/tests/regression_tests/ptables_off/results_true.dat b/tests/regression_tests/ptables_off/results_true.dat index 1652088ce8..3742748625 100644 --- a/tests/regression_tests/ptables_off/results_true.dat +++ b/tests/regression_tests/ptables_off/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.978318E-01 1.560055E-03 +2.968228E-01 1.770320E-03 diff --git a/tests/regression_tests/quadric_surfaces/results_true.dat b/tests/regression_tests/quadric_surfaces/results_true.dat index 382c4241e0..6fb569f522 100644 --- a/tests/regression_tests/quadric_surfaces/results_true.dat +++ b/tests/regression_tests/quadric_surfaces/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.193830E+00 1.824184E-02 +1.216213E+00 2.789559E-02 diff --git a/tests/regression_tests/random_ray_adjoint_fixed_source/results_true.dat b/tests/regression_tests/random_ray_adjoint_fixed_source/results_true.dat index 7178e2f111..e9aa9015b3 100644 --- a/tests/regression_tests/random_ray_adjoint_fixed_source/results_true.dat +++ b/tests/regression_tests/random_ray_adjoint_fixed_source/results_true.dat @@ -6,4 +6,4 @@ tally 2: 9.482551E+08 tally 3: 1.956327E+05 -7.654469E+09 +7.654468E+09 diff --git a/tests/regression_tests/random_ray_auto_convert/infinite_medium/results_true.dat b/tests/regression_tests/random_ray_auto_convert/infinite_medium/results_true.dat index a0d7fc545f..c7584ab647 100644 --- a/tests/regression_tests/random_ray_auto_convert/infinite_medium/results_true.dat +++ b/tests/regression_tests/random_ray_auto_convert/infinite_medium/results_true.dat @@ -1,2 +1,2 @@ k-combined: -7.796949E-01 1.055316E-02 +7.797820E-01 1.054725E-02 diff --git a/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat b/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat index ebf510cfc7..d544a27df6 100644 --- a/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat +++ b/tests/regression_tests/random_ray_auto_convert/material_wise/results_true.dat @@ -1,2 +1,2 @@ k-combined: -7.375068E-01 7.015839E-03 +7.356667E-01 6.637270E-03 diff --git a/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat b/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat index 2f444fad3c..75a10a2247 100644 --- a/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat +++ b/tests/regression_tests/random_ray_auto_convert/stochastic_slab/results_true.dat @@ -1,2 +1,2 @@ k-combined: -7.499679E-01 8.107614E-03 +7.551716E-01 8.117378E-03 diff --git a/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat b/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat index c6ce6aab94..f27ad46b46 100644 --- a/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat +++ b/tests/regression_tests/random_ray_diagonal_stabilization/results_true.dat @@ -1,2 +1,2 @@ k-combined: -7.152917E-01 1.430362E-02 +7.201808E-01 1.506596E-02 diff --git a/tests/regression_tests/random_ray_fixed_source_linear/linear/results_true.dat b/tests/regression_tests/random_ray_fixed_source_linear/linear/results_true.dat index 2fc08d0a42..e90d6bfdcb 100644 --- a/tests/regression_tests/random_ray_fixed_source_linear/linear/results_true.dat +++ b/tests/regression_tests/random_ray_fixed_source_linear/linear/results_true.dat @@ -1,6 +1,6 @@ tally 1: -2.339085E+00 -2.747304E-01 +2.339086E+00 +2.747305E-01 tally 2: 1.089827E-01 6.069324E-04 diff --git a/tests/regression_tests/random_ray_fixed_source_subcritical/flat/results_true.dat b/tests/regression_tests/random_ray_fixed_source_subcritical/flat/results_true.dat index 831eac5019..4d2fb6c579 100644 --- a/tests/regression_tests/random_ray_fixed_source_subcritical/flat/results_true.dat +++ b/tests/regression_tests/random_ray_fixed_source_subcritical/flat/results_true.dat @@ -83,7 +83,7 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 -1.073356E+02 +1.073355E+02 4.630895E+02 1.263975E+01 6.427678E+00 @@ -107,7 +107,7 @@ tally 1: 2.388612E-03 5.941898E-01 1.414866E-02 -5.319555E+01 +5.319554E+01 1.134034E+02 1.967517E-01 1.551313E-03 @@ -122,7 +122,7 @@ tally 1: 8.044764E+01 2.602455E+02 3.474828E-01 -4.908567E-03 +4.908566E-03 9.665057E-01 3.797493E-02 1.561720E+02 diff --git a/tests/regression_tests/random_ray_fixed_source_subcritical/linear_xy/results_true.dat b/tests/regression_tests/random_ray_fixed_source_subcritical/linear_xy/results_true.dat index 49813144d2..bf602d3e2d 100644 --- a/tests/regression_tests/random_ray_fixed_source_subcritical/linear_xy/results_true.dat +++ b/tests/regression_tests/random_ray_fixed_source_subcritical/linear_xy/results_true.dat @@ -23,7 +23,7 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 -5.235812E+01 +5.235813E+01 1.099243E+02 0.000000E+00 0.000000E+00 @@ -72,12 +72,12 @@ tally 1: 0.000000E+00 0.000000E+00 9.495275E+01 -3.613372E+02 +3.613373E+02 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -5.799250E+01 +5.799251E+01 1.356178E+02 0.000000E+00 0.000000E+00 @@ -86,7 +86,7 @@ tally 1: 1.066414E+02 4.570291E+02 1.254014E+01 -6.325640E+00 +6.325641E+00 3.052020E+01 3.746918E+01 4.977302E+01 @@ -107,7 +107,7 @@ tally 1: 2.371074E-03 5.920173E-01 1.404478E-02 -5.299862E+01 +5.299863E+01 1.125576E+02 1.959914E-01 1.539191E-03 @@ -118,11 +118,11 @@ tally 1: 5.781230E-02 1.341759E-04 1.430525E-01 -8.215326E-04 +8.215327E-04 7.995734E+01 2.570099E+02 3.452934E-01 -4.844058E-03 +4.844059E-03 9.604162E-01 3.747587E-02 1.556795E+02 diff --git a/tests/regression_tests/random_ray_halton_samples/results_true.dat b/tests/regression_tests/random_ray_halton_samples/results_true.dat index 7eb307da05..b62398935b 100644 --- a/tests/regression_tests/random_ray_halton_samples/results_true.dat +++ b/tests/regression_tests/random_ray_halton_samples/results_true.dat @@ -21,7 +21,7 @@ tally 1: 3.807294E-03 2.376683E+00 1.151027E+00 -8.060902E-02 +8.060903E-02 1.323179E-03 1.961862E-01 7.837693E-03 @@ -109,7 +109,7 @@ tally 1: 1.195422E-03 1.864967E-01 7.080943E-03 -7.105765E+00 +7.105766E+00 1.025960E+01 8.287512E-02 1.396474E-03 @@ -133,9 +133,9 @@ tally 1: 7.031793E-01 4.562478E+00 4.165199E+00 -2.870213E+00 +2.870214E+00 1.650126E+00 -4.244068E-01 +4.244069E-01 3.608745E-02 1.032921E+00 2.137598E-01 @@ -151,7 +151,7 @@ tally 1: 1.251254E-03 1.906210E-01 7.411654E-03 -7.162706E+00 +7.162707E+00 1.042515E+01 8.273831E-02 1.391799E-03 diff --git a/tests/regression_tests/random_ray_k_eff/results_true.dat b/tests/regression_tests/random_ray_k_eff/results_true.dat index a21929d53b..37eca77f3c 100644 --- a/tests/regression_tests/random_ray_k_eff/results_true.dat +++ b/tests/regression_tests/random_ray_k_eff/results_true.dat @@ -24,8 +24,8 @@ tally 1: 7.808142E-02 1.242278E-03 1.900346E-01 -7.358490E-03 -7.134948E+00 +7.358491E-03 +7.134949E+00 1.034824E+01 8.272647E-02 1.391871E-03 @@ -41,7 +41,7 @@ tally 1: 3.449537E+01 1.764293E-01 6.225586E-03 -4.907292E-01 +4.907293E-01 4.816400E-02 7.567715E+00 1.145439E+01 @@ -114,7 +114,7 @@ tally 1: 8.322052E-02 1.408294E-03 2.025446E-01 -8.342070E-03 +8.342071E-03 2.094832E+01 8.816715E+01 3.234739E-02 @@ -150,15 +150,15 @@ tally 1: 7.951819E-02 1.286690E-03 1.935314E-01 -7.621556E-03 -7.119586E+00 +7.621557E-03 +7.119587E+00 1.030023E+01 8.428175E-02 1.442931E-03 2.051274E-01 8.547243E-03 2.046758E+01 -8.418767E+01 +8.418768E+01 3.181946E-02 2.034766E-04 7.873502E-02 diff --git a/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat b/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat index 535db3b551..83209044ba 100644 --- a/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat +++ b/tests/regression_tests/random_ray_k_eff_mesh/results_true.dat @@ -1,7 +1,7 @@ k-combined: 8.379203E-01 8.057199E-03 tally 1: -5.080171E+00 +5.080172E+00 5.167984E+00 1.880341E+00 7.079266E-01 @@ -16,7 +16,7 @@ tally 1: 1.692643E+00 5.794069E-01 5.445214E-02 -5.995212E-04 +5.995213E-04 1.325256E-01 3.551193E-03 2.372336E+00 @@ -35,10 +35,10 @@ tally 1: 8.394042E+01 3.100485E-02 1.932097E-04 -7.671933E-02 +7.671934E-02 1.182985E-03 1.313652E+01 -3.451847E+01 +3.451846E+01 1.764978E-01 6.230420E-03 4.909196E-01 @@ -56,7 +56,7 @@ tally 1: 0.000000E+00 0.000000E+00 1.820058E+00 -6.729238E-01 +6.729239E-01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -96,7 +96,7 @@ tally 1: 4.104063E-01 3.377132E-02 9.988468E-01 -2.000404E-01 +2.000405E-01 1.660506E+00 5.567967E-01 5.427391E-02 @@ -147,13 +147,13 @@ tally 1: 3.699815E-03 2.368737E+00 1.143184E+00 -7.950085E-02 +7.950086E-02 1.286135E-03 1.934892E-01 -7.618268E-03 +7.618269E-03 7.119767E+00 1.030095E+01 -8.427627E-02 +8.427628E-02 1.442764E-03 2.051141E-01 8.546249E-03 diff --git a/tests/regression_tests/random_ray_linear/linear/results_true.dat b/tests/regression_tests/random_ray_linear/linear/results_true.dat index 6617c78216..4c0e14370e 100644 --- a/tests/regression_tests/random_ray_linear/linear/results_true.dat +++ b/tests/regression_tests/random_ray_linear/linear/results_true.dat @@ -24,7 +24,7 @@ tally 1: 5.733016E-01 1.643671E-02 1.395301E+00 -9.736091E-02 +9.736092E-02 4.539598E+01 1.030472E+02 5.263055E-01 @@ -44,7 +44,7 @@ tally 1: 2.008092E+00 2.022988E-01 4.188246E+01 -8.843468E+01 +8.843469E+01 0.000000E+00 0.000000E+00 0.000000E+00 @@ -111,7 +111,7 @@ tally 1: 9.671931E-02 4.539193E+01 1.030326E+02 -5.345253E-01 +5.345254E-01 1.428719E-02 1.300944E+00 8.463057E-02 diff --git a/tests/regression_tests/random_ray_volume_estimator_linear/hybrid/results_true.dat b/tests/regression_tests/random_ray_volume_estimator_linear/hybrid/results_true.dat index 2fc08d0a42..e90d6bfdcb 100644 --- a/tests/regression_tests/random_ray_volume_estimator_linear/hybrid/results_true.dat +++ b/tests/regression_tests/random_ray_volume_estimator_linear/hybrid/results_true.dat @@ -1,6 +1,6 @@ tally 1: -2.339085E+00 -2.747304E-01 +2.339086E+00 +2.747305E-01 tally 2: 1.089827E-01 6.069324E-04 diff --git a/tests/regression_tests/reflective_plane/results_true.dat b/tests/regression_tests/reflective_plane/results_true.dat index a1acfaad7e..a4d6edb677 100644 --- a/tests/regression_tests/reflective_plane/results_true.dat +++ b/tests/regression_tests/reflective_plane/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.276857E+00 8.776678E-03 +2.279066E+00 4.793565E-03 diff --git a/tests/regression_tests/resonance_scattering/results_true.dat b/tests/regression_tests/resonance_scattering/results_true.dat index 8316e720e2..72f0933b83 100644 --- a/tests/regression_tests/resonance_scattering/results_true.dat +++ b/tests/regression_tests/resonance_scattering/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.462509E+00 2.205413E-02 +1.462428E+00 1.828903E-02 diff --git a/tests/regression_tests/rotation/results_true.dat b/tests/regression_tests/rotation/results_true.dat index 0fb8ba981f..6db3d329a0 100644 --- a/tests/regression_tests/rotation/results_true.dat +++ b/tests/regression_tests/rotation/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.175600E-01 1.117465E-02 +4.459219E-01 1.899168E-02 diff --git a/tests/regression_tests/salphabeta/results_true.dat b/tests/regression_tests/salphabeta/results_true.dat index d5c7f66e90..75a81075e9 100644 --- a/tests/regression_tests/salphabeta/results_true.dat +++ b/tests/regression_tests/salphabeta/results_true.dat @@ -1,2 +1,2 @@ k-combined: -8.694866E-01 2.033328E-02 +8.628529E-01 3.120924E-02 diff --git a/tests/regression_tests/score_current/results_true.dat b/tests/regression_tests/score_current/results_true.dat index ff939301d0..6bb74445ce 100644 --- a/tests/regression_tests/score_current/results_true.dat +++ b/tests/regression_tests/score_current/results_true.dat @@ -1,274 +1,490 @@ k-combined: -2.298294E-01 3.256961E-01 +7.729082E-01 3.775399E-02 tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.150000E-01 -2.753000E-03 -1.820000E-01 -6.756000E-03 +1.200000E-01 +2.924000E-03 +1.740000E-01 +6.270000E-03 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.110000E-01 -2.601000E-03 -1.530000E-01 -4.865000E-03 -1.910000E-01 -7.535000E-03 +1.200000E-01 +3.044000E-03 +1.510000E-01 +4.615000E-03 +1.710000E-01 +6.067000E-03 0.000000E+00 0.000000E+00 -7.100000E-02 -1.079000E-03 -1.500000E-01 -4.606000E-03 -1.820000E-01 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+1668,248 @@ tally 2: 0.000000E+00 0.000000E+00 0.000000E+00 -1.610000E-01 -5.273000E-03 +1.900000E-01 +7.412000E-03 0.000000E+00 0.000000E+00 -2.310000E-01 -1.098100E-02 +2.420000E-01 +1.208400E-02 0.000000E+00 0.000000E+00 -1.610000E-01 -5.233000E-03 +1.570000E-01 +4.999000E-03 0.000000E+00 0.000000E+00 -1.370000E-01 -3.855000E-03 +1.230000E-01 +3.065000E-03 0.000000E+00 0.000000E+00 -1.760000E-01 -6.482000E-03 +1.730000E-01 +6.279000E-03 0.000000E+00 0.000000E+00 -1.340000E-01 -3.882000E-03 +1.330000E-01 +3.621000E-03 0.000000E+00 0.000000E+00 1.030000E-01 -2.271000E-03 +2.229000E-03 0.000000E+00 0.000000E+00 -2.090000E-01 -8.841000E-03 -0.000000E+00 -0.000000E+00 -1.830000E-01 -6.761000E-03 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -2.310000E-01 -1.098100E-02 -0.000000E+00 -0.000000E+00 -1.610000E-01 -5.273000E-03 -0.000000E+00 -0.000000E+00 -2.620000E-01 -1.380600E-02 -0.000000E+00 -0.000000E+00 -1.700000E-01 -5.970000E-03 -0.000000E+00 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+0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +6.100000E-02 +8.350000E-04 +0.000000E+00 +0.000000E+00 +1.410000E-01 +4.071000E-03 +0.000000E+00 +0.000000E+00 +1.800000E-01 +6.574000E-03 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.760000E-01 +6.598000E-03 +0.000000E+00 +0.000000E+00 +1.230000E-01 +3.305000E-03 +0.000000E+00 +0.000000E+00 +1.690000E-01 +6.135000E-03 +0.000000E+00 +0.000000E+00 +1.220000E-01 +3.344000E-03 +0.000000E+00 +0.000000E+00 +1.540000E-01 +4.986000E-03 +0.000000E+00 +0.000000E+00 +2.690000E-01 +1.478100E-02 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.030000E-01 +2.543000E-03 +0.000000E+00 +0.000000E+00 +1.870000E-01 +7.267000E-03 +0.000000E+00 +0.000000E+00 +1.690000E-01 +5.731000E-03 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.220000E-01 +3.344000E-03 +0.000000E+00 +0.000000E+00 +1.690000E-01 +6.135000E-03 +0.000000E+00 +0.000000E+00 0.000000E+00 0.000000E+00 -1.820000E-01 -6.660000E-03 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1901,11 +1917,11 @@ tally 2: 0.000000E+00 0.000000E+00 1.170000E-01 -2.789000E-03 +2.807000E-03 0.000000E+00 0.000000E+00 -1.300000E-01 -3.604000E-03 +1.760000E-01 +6.534000E-03 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1916,32 +1932,16 @@ tally 2: 0.000000E+00 0.000000E+00 0.000000E+00 -1.120000E-01 -2.640000E-03 +6.000000E-02 +8.060000E-04 0.000000E+00 0.000000E+00 -1.430000E-01 -4.163000E-03 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -4.900000E-02 -5.630000E-04 -0.000000E+00 -0.000000E+00 -1.670000E-01 -5.653000E-03 -0.000000E+00 -0.000000E+00 -1.670000E-01 -5.701000E-03 +1.290000E-01 +3.487000E-03 +0.000000E+00 +0.000000E+00 +1.790000E-01 +6.747000E-03 0.000000E+00 0.000000E+00 0.000000E+00 diff --git a/tests/regression_tests/seed/results_true.dat b/tests/regression_tests/seed/results_true.dat index bcd7118253..ff34071c10 100644 --- a/tests/regression_tests/seed/results_true.dat +++ b/tests/regression_tests/seed/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.069730E-01 2.632099E-03 +3.015003E-01 5.094212E-03 diff --git a/tests/regression_tests/source/results_true.dat b/tests/regression_tests/source/results_true.dat index 673d27c8af..951075bbb9 100644 --- a/tests/regression_tests/source/results_true.dat +++ b/tests/regression_tests/source/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.959436E-01 2.782384E-03 +3.034717E-01 2.799386E-03 diff --git a/tests/regression_tests/source_file/results_true.dat b/tests/regression_tests/source_file/results_true.dat index 264e3d580d..359e0526e6 100644 --- a/tests/regression_tests/source_file/results_true.dat +++ b/tests/regression_tests/source_file/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.983135E-01 5.116978E-03 +2.827397E-01 1.150437E-03 diff --git a/tests/regression_tests/source_mcpl_file/results_true.dat b/tests/regression_tests/source_mcpl_file/results_true.dat index 264e3d580d..3ba1a45200 100644 --- a/tests/regression_tests/source_mcpl_file/results_true.dat +++ b/tests/regression_tests/source_mcpl_file/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.983135E-01 5.116978E-03 +2.827397E-01 1.150438E-03 diff --git a/tests/regression_tests/sourcepoint_batch/results_true.dat b/tests/regression_tests/sourcepoint_batch/results_true.dat index 2770f25ed1..3665bdd08d 100644 --- a/tests/regression_tests/sourcepoint_batch/results_true.dat +++ b/tests/regression_tests/sourcepoint_batch/results_true.dat @@ -1,3 +1,3 @@ k-combined: -3.074376E-01 3.049465E-03 -3.667754E+00 -7.701697E+00 2.213664E+00 +2.920435E-01 9.109227E-04 +1.101997E+00 -8.197502E+00 4.294606E+00 diff --git a/tests/regression_tests/sourcepoint_latest/results_true.dat b/tests/regression_tests/sourcepoint_latest/results_true.dat index bbf03de943..97b997ae6b 100644 --- a/tests/regression_tests/sourcepoint_latest/results_true.dat +++ b/tests/regression_tests/sourcepoint_latest/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 diff --git a/tests/regression_tests/sourcepoint_restart/results_true.dat b/tests/regression_tests/sourcepoint_restart/results_true.dat index b6d85872d1..c20b5f2a0a 100644 --- a/tests/regression_tests/sourcepoint_restart/results_true.dat +++ b/tests/regression_tests/sourcepoint_restart/results_true.dat @@ -1,46 +1,14 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 tally 1: 1.300000E-02 -4.700000E-05 -5.741381E-03 -9.030024E-06 +3.900000E-05 +5.833114E-03 +7.476880E-06 0.000000E+00 0.000000E+00 -3.067112E-04 -9.407179E-08 -1.000000E-03 -1.000000E-06 -3.015814E-04 -9.095135E-08 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -2.600000E-02 -1.420000E-04 -1.268989E-02 -3.464490E-05 -0.000000E+00 -0.000000E+00 -2.948908E-04 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0.000000E+00 @@ -658,45 +50,93 @@ tally 1: 0.000000E+00 0.000000E+00 2.500000E-02 -1.770000E-04 -1.021860E-02 -3.099521E-05 +1.430000E-04 +1.110224E-02 +2.872840E-05 0.000000E+00 0.000000E+00 -3.074376E-04 -9.451786E-08 +5.833203E-04 +1.701353E-07 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +5.000000E-03 +1.100000E-05 +1.752967E-03 +1.027501E-06 +0.000000E+00 +0.000000E+00 +2.930717E-04 +8.589100E-08 0.000000E+00 0.000000E+00 -9.086007E-04 -4.570977E-07 -2.000000E-03 -2.000000E-06 -3.054379E-04 -9.329231E-08 -1.500000E-02 -5.300000E-05 -7.584986E-03 -1.188822E-05 0.000000E+00 0.000000E+00 -6.128755E-04 -1.878102E-07 -1.000000E-03 -1.000000E-06 -6.108758E-04 -3.731692E-07 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 1.800000E-02 -8.600000E-05 -6.672457E-03 -1.369871E-05 +7.600000E-05 +7.300761E-03 +1.254112E-05 0.000000E+00 0.000000E+00 -6.141488E-04 -1.885896E-07 +5.841969E-04 +1.706438E-07 +0.000000E+00 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/dev/null @@ -1,8 +0,0 @@ - - - - - - - - diff --git a/tests/regression_tests/statepoint_batch/materials.xml b/tests/regression_tests/statepoint_batch/materials.xml deleted file mode 100644 index 2472a74717..0000000000 --- a/tests/regression_tests/statepoint_batch/materials.xml +++ /dev/null @@ -1,9 +0,0 @@ - - - - - - - - - diff --git a/tests/regression_tests/statepoint_batch/results_true.dat b/tests/regression_tests/statepoint_batch/results_true.dat deleted file mode 100644 index f5c855d777..0000000000 --- a/tests/regression_tests/statepoint_batch/results_true.dat +++ /dev/null @@ -1,2 +0,0 @@ -k-combined: -3.048864E-01 1.689118E-03 diff --git a/tests/regression_tests/statepoint_batch/settings.xml b/tests/regression_tests/statepoint_batch/settings.xml deleted file mode 100644 index e2f8dad47b..0000000000 --- a/tests/regression_tests/statepoint_batch/settings.xml +++ /dev/null @@ -1,17 +0,0 @@ - - - - - - eigenvalue - 10 - 5 - 1000 - - - - -4 -4 -4 4 4 4 - - - - diff --git a/tests/regression_tests/statepoint_batch/test.py b/tests/regression_tests/statepoint_batch/test.py deleted file mode 100644 index 323b28fc65..0000000000 --- a/tests/regression_tests/statepoint_batch/test.py +++ /dev/null @@ -1,18 +0,0 @@ -from tests.testing_harness import TestHarness - - -class StatepointTestHarness(TestHarness): - def __init__(self): - super().__init__(None) - - def _test_output_created(self): - """Make sure statepoint files have been created.""" - sps = ('statepoint.03.h5', 'statepoint.06.h5', 'statepoint.09.h5') - for sp in sps: - self._sp_name = sp - TestHarness._test_output_created(self) - - -def test_statepoint_batch(): - harness = StatepointTestHarness() - harness.main() diff --git a/tests/regression_tests/statepoint_restart/results_true.dat b/tests/regression_tests/statepoint_restart/results_true.dat index aebc971f49..b919b30005 100644 --- a/tests/regression_tests/statepoint_restart/results_true.dat +++ b/tests/regression_tests/statepoint_restart/results_true.dat @@ -1,66 +1,18 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 tally 1: 1.300000E-02 -4.700000E-05 +3.900000E-05 1.300000E-02 -4.700000E-05 -5.741381E-03 -9.030024E-06 +3.900000E-05 +5.833114E-03 +7.476880E-06 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.067112E-04 -9.407179E-08 -1.000000E-03 -1.000000E-06 -1.000000E-03 -1.000000E-06 -3.015814E-04 -9.095135E-08 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -2.600000E-02 -1.420000E-04 -2.600000E-02 -1.420000E-04 -1.268989E-02 -3.464490E-05 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -2.948908E-04 -8.696057E-08 -1.000000E-03 -1.000000E-06 -1.000000E-03 -1.000000E-06 -1.535009E-03 -1.224718E-06 -1.000000E-03 -1.000000E-06 -1.000000E-03 -1.000000E-06 -0.000000E+00 -0.000000E+00 -3.200000E-02 -2.760000E-04 -3.200000E-02 -2.760000E-04 -1.248507E-02 -3.714039E-05 -0.000000E+00 -0.000000E+00 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0.000000E+00 0.000000E+00 @@ -1226,11 +938,11 @@ tally 1: 0.000000E+00 0.000000E+00 7.000000E-03 -1.500000E-05 +1.900000E-05 7.000000E-03 -1.500000E-05 -4.818843E-03 -6.474375E-06 +1.900000E-05 +3.218959E-03 +4.543526E-06 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1249,18 +961,16 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 -2.400000E-02 -1.180000E-04 -2.400000E-02 -1.180000E-04 -1.088639E-02 -2.567229E-05 +9.000000E-03 +1.900000E-05 +9.000000E-03 +1.900000E-05 +4.380921E-03 +4.182826E-06 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.067112E-04 -9.407179E-08 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1273,24 +983,22 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 -1.300000E-02 -5.100000E-05 -1.300000E-02 -5.100000E-05 -6.002667E-03 -1.149916E-05 0.000000E+00 0.000000E+00 +2.100000E-02 +1.050000E-04 +2.100000E-02 +1.050000E-04 +9.932207E-03 +2.153598E-05 0.000000E+00 0.000000E+00 -3.015814E-04 -9.095135E-08 0.000000E+00 0.000000E+00 +5.854747E-04 +3.427806E-07 0.000000E+00 0.000000E+00 -3.067112E-04 -9.407179E-08 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1301,22 +1009,36 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 -2.948908E-04 -8.696057E-08 +1.800000E-02 +7.400000E-05 +1.800000E-02 +7.400000E-05 +7.301011E-03 +1.358176E-05 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -2.948908E-04 -8.696057E-08 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 +5.804973E-04 +3.369772E-07 +1.000000E-03 +1.000000E-06 +1.000000E-03 +1.000000E-06 0.000000E+00 0.000000E+00 +2.300000E-02 +1.610000E-04 +2.300000E-02 +1.610000E-04 +9.647933E-03 +2.657983E-05 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1335,28 +1057,162 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 +9.000000E-03 +1.900000E-05 +9.000000E-03 +1.900000E-05 +2.915422E-03 +2.203274E-06 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 +8.775182E-04 +4.280701E-07 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -1.300000E-02 -4.700000E-05 -1.300000E-02 -4.700000E-05 -5.486562E-03 -7.965488E-06 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.054379E-04 -9.329231E-08 +0.000000E+00 +0.000000E+00 +1.000000E-03 +1.000000E-06 +1.000000E-03 +1.000000E-06 +2.920435E-04 +8.528942E-08 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +5.000000E-03 +9.000000E-06 +5.000000E-03 +9.000000E-06 +2.044244E-03 +1.796182E-06 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.800000E-02 +9.000000E-05 +1.800000E-02 +9.000000E-05 +6.718632E-03 +1.203946E-05 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +2.927374E-04 +8.569516E-08 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.100000E-02 +2.700000E-05 +1.100000E-02 +2.700000E-05 +4.675703E-03 +5.128811E-06 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +2.914595E-04 +8.494867E-08 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.000000E-03 +1.000000E-06 +1.000000E-03 +1.000000E-06 +2.914595E-04 +8.494867E-08 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +1.000000E-03 +1.000000E-06 +1.000000E-03 +1.000000E-06 +2.920435E-04 +8.528942E-08 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1370,17 +1226,11 @@ tally 1: 0.000000E+00 0.000000E+00 8.000000E-03 -1.800000E-05 +2.600000E-05 8.000000E-03 -1.800000E-05 -3.334317E-03 -3.609712E-06 -0.000000E+00 -0.000000E+00 -0.000000E+00 -0.000000E+00 -2.948908E-04 -8.696057E-08 +2.600000E-05 +4.670349E-03 +6.133014E-06 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1393,28 +1243,178 @@ tally 1: 0.000000E+00 0.000000E+00 0.000000E+00 -2.000000E-02 -1.080000E-04 -2.000000E-02 -1.080000E-04 -9.741552E-03 -2.552400E-05 0.000000E+00 0.000000E+00 0.000000E+00 0.000000E+00 -3.015814E-04 -9.095135E-08 +0.000000E+00 +0.000000E+00 +1.500000E-02 +6.100000E-05 +1.500000E-02 +6.100000E-05 +8.751735E-03 +1.922421E-05 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 +0.000000E+00 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0.000000E+00 -1.800986E-03 -1.622276E-06 -1.000000E-03 -1.000000E-06 -1.000000E-03 -1.000000E-06 0.000000E+00 0.000000E+00 0.000000E+00 @@ -1442,11 +1442,11 @@ tally 1: 0.000000E+00 0.000000E+00 tally 2: -5.818100E-01 -6.772558E-02 -6.344749E-01 -8.054355E-02 -3.690180E+00 -2.724752E+00 -4.102635E+01 -3.367908E+02 +5.554367E-01 +6.170503E-02 +6.055520E-01 +7.334109E-02 +3.526894E+00 +2.488065E+00 +3.925114E+01 +3.081807E+02 diff --git a/tests/regression_tests/statepoint_sourcesep/results_true.dat b/tests/regression_tests/statepoint_sourcesep/results_true.dat index bbf03de943..97b997ae6b 100644 --- a/tests/regression_tests/statepoint_sourcesep/results_true.dat +++ b/tests/regression_tests/statepoint_sourcesep/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 diff --git a/tests/regression_tests/stride/results_true.dat b/tests/regression_tests/stride/results_true.dat index a654111500..825de37667 100644 --- a/tests/regression_tests/stride/results_true.dat +++ b/tests/regression_tests/stride/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.978080E-01 6.106774E-03 +2.953207E-01 2.874356E-03 diff --git a/tests/regression_tests/surface_source/surface_source_true.h5 b/tests/regression_tests/surface_source/surface_source_true.h5 index d056d73284..2c2a19038f 100644 Binary files a/tests/regression_tests/surface_source/surface_source_true.h5 and b/tests/regression_tests/surface_source/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source/surface_source_true.mcpl b/tests/regression_tests/surface_source/surface_source_true.mcpl index 7c819ac9bd..ca4b7c2c42 100644 Binary files a/tests/regression_tests/surface_source/surface_source_true.mcpl and b/tests/regression_tests/surface_source/surface_source_true.mcpl differ diff --git a/tests/regression_tests/surface_source_write/case-01/results_true.dat b/tests/regression_tests/surface_source_write/case-01/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-01/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-01/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-01/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-01/surface_source_true.h5 index 82dca4d032..a43646158b 100644 Binary files a/tests/regression_tests/surface_source_write/case-01/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-01/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-02/results_true.dat b/tests/regression_tests/surface_source_write/case-02/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-02/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-02/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-02/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-02/surface_source_true.h5 index 872efa0707..5a73e7ab2a 100644 Binary files a/tests/regression_tests/surface_source_write/case-02/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-02/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-03/results_true.dat b/tests/regression_tests/surface_source_write/case-03/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-03/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-03/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-03/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-03/surface_source_true.h5 index 04a6ac9a38..228f5a7d0a 100644 Binary files a/tests/regression_tests/surface_source_write/case-03/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-03/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-04/results_true.dat b/tests/regression_tests/surface_source_write/case-04/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-04/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-04/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-04/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-04/surface_source_true.h5 index 75c309eb4f..c276af40f4 100644 Binary files a/tests/regression_tests/surface_source_write/case-04/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-04/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-05/results_true.dat b/tests/regression_tests/surface_source_write/case-05/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-05/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-05/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-05/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-05/surface_source_true.h5 index 1a2f54d765..c276af40f4 100644 Binary files a/tests/regression_tests/surface_source_write/case-05/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-05/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-06/results_true.dat b/tests/regression_tests/surface_source_write/case-06/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-06/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-06/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-06/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-06/surface_source_true.h5 index bef135e5ac..6946938adb 100644 Binary files a/tests/regression_tests/surface_source_write/case-06/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-06/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-07/results_true.dat b/tests/regression_tests/surface_source_write/case-07/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-07/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-07/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-07/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-07/surface_source_true.h5 index f84a5c4c5b..c276af40f4 100644 Binary files a/tests/regression_tests/surface_source_write/case-07/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-07/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-08/results_true.dat b/tests/regression_tests/surface_source_write/case-08/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-08/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-08/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-08/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-08/surface_source_true.h5 index 1fd302a7cd..94cd377d40 100644 Binary files a/tests/regression_tests/surface_source_write/case-08/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-08/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-09/results_true.dat b/tests/regression_tests/surface_source_write/case-09/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-09/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-09/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-09/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-09/surface_source_true.h5 index af832f060c..ebce87b36a 100644 Binary files a/tests/regression_tests/surface_source_write/case-09/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-09/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-10/results_true.dat b/tests/regression_tests/surface_source_write/case-10/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-10/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-10/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-10/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-10/surface_source_true.h5 index 1512d86929..fded9d987e 100644 Binary files a/tests/regression_tests/surface_source_write/case-10/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-10/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-11/results_true.dat b/tests/regression_tests/surface_source_write/case-11/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-11/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-11/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-11/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-11/surface_source_true.h5 index 0edb06c88e..b5b6036201 100644 Binary files a/tests/regression_tests/surface_source_write/case-11/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-11/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-12/results_true.dat b/tests/regression_tests/surface_source_write/case-12/results_true.dat index d793a7e421..ad927bdf30 100644 --- a/tests/regression_tests/surface_source_write/case-12/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-12/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.752377E-02 6.773395E-03 +4.929000E-02 8.212396E-03 diff --git a/tests/regression_tests/surface_source_write/case-12/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-12/surface_source_true.h5 index ea81a82509..6c6925daba 100644 Binary files a/tests/regression_tests/surface_source_write/case-12/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-12/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-13/results_true.dat b/tests/regression_tests/surface_source_write/case-13/results_true.dat index d793a7e421..ad927bdf30 100644 --- a/tests/regression_tests/surface_source_write/case-13/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-13/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.752377E-02 6.773395E-03 +4.929000E-02 8.212396E-03 diff --git a/tests/regression_tests/surface_source_write/case-13/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-13/surface_source_true.h5 index 08bd809852..6c6925daba 100644 Binary files a/tests/regression_tests/surface_source_write/case-13/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-13/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-14/results_true.dat b/tests/regression_tests/surface_source_write/case-14/results_true.dat index d793a7e421..ad927bdf30 100644 --- a/tests/regression_tests/surface_source_write/case-14/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-14/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.752377E-02 6.773395E-03 +4.929000E-02 8.212396E-03 diff --git a/tests/regression_tests/surface_source_write/case-14/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-14/surface_source_true.h5 index 50cddcc70c..6c6925daba 100644 Binary files a/tests/regression_tests/surface_source_write/case-14/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-14/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-15/results_true.dat b/tests/regression_tests/surface_source_write/case-15/results_true.dat index d793a7e421..ad927bdf30 100644 --- a/tests/regression_tests/surface_source_write/case-15/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-15/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.752377E-02 6.773395E-03 +4.929000E-02 8.212396E-03 diff --git a/tests/regression_tests/surface_source_write/case-15/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-15/surface_source_true.h5 index 3e15017a16..5bdb39b2a7 100644 Binary files a/tests/regression_tests/surface_source_write/case-15/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-15/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-16/results_true.dat b/tests/regression_tests/surface_source_write/case-16/results_true.dat index a97be70cae..cd0619c1fe 100644 --- a/tests/regression_tests/surface_source_write/case-16/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-16/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.496403E+00 3.891283E-02 +1.403371E+00 1.456192E-02 diff --git a/tests/regression_tests/surface_source_write/case-16/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-16/surface_source_true.h5 index 49f67e8205..79ac8e1a65 100644 Binary files a/tests/regression_tests/surface_source_write/case-16/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-16/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-17/results_true.dat b/tests/regression_tests/surface_source_write/case-17/results_true.dat index a97be70cae..cd0619c1fe 100644 --- a/tests/regression_tests/surface_source_write/case-17/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-17/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.496403E+00 3.891283E-02 +1.403371E+00 1.456192E-02 diff --git a/tests/regression_tests/surface_source_write/case-17/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-17/surface_source_true.h5 index 35878eecae..aadcc3fa40 100644 Binary files a/tests/regression_tests/surface_source_write/case-17/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-17/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-18/results_true.dat b/tests/regression_tests/surface_source_write/case-18/results_true.dat index a97be70cae..cd0619c1fe 100644 --- a/tests/regression_tests/surface_source_write/case-18/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-18/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.496403E+00 3.891283E-02 +1.403371E+00 1.456192E-02 diff --git a/tests/regression_tests/surface_source_write/case-18/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-18/surface_source_true.h5 index 36da9e7a7f..e5a7619c55 100644 Binary files a/tests/regression_tests/surface_source_write/case-18/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-18/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-19/results_true.dat b/tests/regression_tests/surface_source_write/case-19/results_true.dat index a97be70cae..cd0619c1fe 100644 --- a/tests/regression_tests/surface_source_write/case-19/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-19/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.496403E+00 3.891283E-02 +1.403371E+00 1.456192E-02 diff --git a/tests/regression_tests/surface_source_write/case-19/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-19/surface_source_true.h5 index f4261451dd..db8a49dcee 100644 Binary files a/tests/regression_tests/surface_source_write/case-19/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-19/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-20/results_true.dat b/tests/regression_tests/surface_source_write/case-20/results_true.dat index 7ccce7cc3a..44293cf091 100644 --- a/tests/regression_tests/surface_source_write/case-20/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-20/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.149925E+00 2.542255E-01 +1.266853E+00 4.552028E-02 diff --git a/tests/regression_tests/surface_source_write/case-20/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-20/surface_source_true.h5 index fa8a4e6287..01d2abf61c 100644 Binary files a/tests/regression_tests/surface_source_write/case-20/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-20/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-21/results_true.dat b/tests/regression_tests/surface_source_write/case-21/results_true.dat index 7ccce7cc3a..44293cf091 100644 --- a/tests/regression_tests/surface_source_write/case-21/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-21/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.149925E+00 2.542255E-01 +1.266853E+00 4.552028E-02 diff --git a/tests/regression_tests/surface_source_write/case-21/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-21/surface_source_true.h5 index ed87ce849f..4e5dcb446c 100644 Binary files a/tests/regression_tests/surface_source_write/case-21/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-21/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-a01/results_true.dat b/tests/regression_tests/surface_source_write/case-a01/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-a01/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-a01/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-a01/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-a01/surface_source_true.h5 index 4a86235679..da36fc505e 100644 Binary files a/tests/regression_tests/surface_source_write/case-a01/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-a01/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d01/results_true.dat b/tests/regression_tests/surface_source_write/case-d01/results_true.dat index 7fb415cb15..26b9e30a3b 100644 --- a/tests/regression_tests/surface_source_write/case-d01/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d01/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.263843E-01 3.193920E-02 +9.288719E-01 6.877101E-03 diff --git a/tests/regression_tests/surface_source_write/case-d01/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d01/surface_source_true.h5 index 8f8cd604dc..9a66315ffe 100644 Binary files a/tests/regression_tests/surface_source_write/case-d01/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d01/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d02/results_true.dat b/tests/regression_tests/surface_source_write/case-d02/results_true.dat index 7fb415cb15..26b9e30a3b 100644 --- a/tests/regression_tests/surface_source_write/case-d02/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d02/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.263843E-01 3.193920E-02 +9.288719E-01 6.877101E-03 diff --git a/tests/regression_tests/surface_source_write/case-d02/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d02/surface_source_true.h5 index 3abc471e04..2910629425 100644 Binary files a/tests/regression_tests/surface_source_write/case-d02/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d02/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d03/results_true.dat b/tests/regression_tests/surface_source_write/case-d03/results_true.dat index 7fb415cb15..26b9e30a3b 100644 --- a/tests/regression_tests/surface_source_write/case-d03/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d03/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.263843E-01 3.193920E-02 +9.288719E-01 6.877101E-03 diff --git a/tests/regression_tests/surface_source_write/case-d03/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d03/surface_source_true.h5 index 8435e8f17f..0af7160d4b 100644 Binary files a/tests/regression_tests/surface_source_write/case-d03/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d03/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d04/results_true.dat b/tests/regression_tests/surface_source_write/case-d04/results_true.dat index 7fb415cb15..26b9e30a3b 100644 --- a/tests/regression_tests/surface_source_write/case-d04/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d04/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.263843E-01 3.193920E-02 +9.288719E-01 6.877101E-03 diff --git a/tests/regression_tests/surface_source_write/case-d04/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d04/surface_source_true.h5 index 6c45d92e61..90ab00748b 100644 Binary files a/tests/regression_tests/surface_source_write/case-d04/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d04/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d05/results_true.dat b/tests/regression_tests/surface_source_write/case-d05/results_true.dat index 7fb415cb15..26b9e30a3b 100644 --- a/tests/regression_tests/surface_source_write/case-d05/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d05/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.263843E-01 3.193920E-02 +9.288719E-01 6.877101E-03 diff --git a/tests/regression_tests/surface_source_write/case-d05/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d05/surface_source_true.h5 index 24b04a862e..2f55216798 100644 Binary files a/tests/regression_tests/surface_source_write/case-d05/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d05/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d06/results_true.dat b/tests/regression_tests/surface_source_write/case-d06/results_true.dat index 7fb415cb15..26b9e30a3b 100644 --- a/tests/regression_tests/surface_source_write/case-d06/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d06/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.263843E-01 3.193920E-02 +9.288719E-01 6.877101E-03 diff --git a/tests/regression_tests/surface_source_write/case-d06/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d06/surface_source_true.h5 index 3eb95bef96..27227ad49c 100644 Binary files a/tests/regression_tests/surface_source_write/case-d06/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d06/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d07/results_true.dat b/tests/regression_tests/surface_source_write/case-d07/results_true.dat index 63ea1a64d4..5a4ea66898 100644 --- a/tests/regression_tests/surface_source_write/case-d07/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d07/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.756086E-01 4.639209E-02 +9.947197E-01 3.711779E-02 diff --git a/tests/regression_tests/surface_source_write/case-d07/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d07/surface_source_true.h5 index 0332f2dcfb..fd9f0dc572 100644 Binary files a/tests/regression_tests/surface_source_write/case-d07/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d07/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-d08/results_true.dat b/tests/regression_tests/surface_source_write/case-d08/results_true.dat index 63ea1a64d4..5a4ea66898 100644 --- a/tests/regression_tests/surface_source_write/case-d08/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-d08/results_true.dat @@ -1,2 +1,2 @@ k-combined: -9.756086E-01 4.639209E-02 +9.947197E-01 3.711779E-02 diff --git a/tests/regression_tests/surface_source_write/case-d08/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-d08/surface_source_true.h5 index 2525592045..fd9f0dc572 100644 Binary files a/tests/regression_tests/surface_source_write/case-d08/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-d08/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-e01/results_true.dat b/tests/regression_tests/surface_source_write/case-e01/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-e01/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-e01/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-e01/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-e01/surface_source_true.h5 index 3047519e8c..bbfbd152bc 100644 Binary files a/tests/regression_tests/surface_source_write/case-e01/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-e01/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-e02/results_true.dat b/tests/regression_tests/surface_source_write/case-e02/results_true.dat index 8979eb5547..d4d1d1e5ad 100644 --- a/tests/regression_tests/surface_source_write/case-e02/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-e02/results_true.dat @@ -1,2 +1,2 @@ k-combined: -5.169123E-02 9.144814E-03 +5.642735E-02 1.494035E-02 diff --git a/tests/regression_tests/surface_source_write/case-e02/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-e02/surface_source_true.h5 index 8061528533..bbfbd152bc 100644 Binary files a/tests/regression_tests/surface_source_write/case-e02/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-e02/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_source_write/case-e03/results_true.dat b/tests/regression_tests/surface_source_write/case-e03/results_true.dat index d793a7e421..ad927bdf30 100644 --- a/tests/regression_tests/surface_source_write/case-e03/results_true.dat +++ b/tests/regression_tests/surface_source_write/case-e03/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.752377E-02 6.773395E-03 +4.929000E-02 8.212396E-03 diff --git a/tests/regression_tests/surface_source_write/case-e03/surface_source_true.h5 b/tests/regression_tests/surface_source_write/case-e03/surface_source_true.h5 index becc9254a3..22e108745d 100644 Binary files a/tests/regression_tests/surface_source_write/case-e03/surface_source_true.h5 and b/tests/regression_tests/surface_source_write/case-e03/surface_source_true.h5 differ diff --git a/tests/regression_tests/surface_tally/results_true.dat b/tests/regression_tests/surface_tally/results_true.dat index 8b27fa1928..70d5cad2c6 100644 --- a/tests/regression_tests/surface_tally/results_true.dat +++ b/tests/regression_tests/surface_tally/results_true.dat @@ -1,52 +1,52 @@ mean,std. dev. -2.1200000e-02,1.8366636e-03 -7.4900000e-02,2.2083176e-03 -1.6220000e-01,2.8079253e-03 -6.4010000e-01,8.6838931e-03 -2.1000000e-03,3.7859389e-04 -5.6000000e-03,6.8637534e-04 -1.1700000e-02,1.4456832e-03 -4.1700000e-02,2.7041121e-03 -2.1200000e-02,1.8366636e-03 -7.4900000e-02,2.2083176e-03 -1.6220000e-01,2.8079253e-03 -6.4010000e-01,8.6838931e-03 -2.1000000e-03,3.7859389e-04 -5.6000000e-03,6.8637534e-04 -1.1700000e-02,1.4456832e-03 -4.1700000e-02,2.7041121e-03 -5.2000000e-03,5.9254629e-04 -3.9200000e-02,2.5508169e-03 -4.0200000e-02,1.9310331e-03 -4.1360000e-01,8.0072190e-03 -0.0000000e+00,0.0000000e+00 -1.9000000e-03,3.7859389e-04 +2.4100000e-02,2.1052844e-03 +6.7900000e-02,2.3211587e-03 +1.6860000e-01,4.4800794e-03 +6.4710000e-01,9.1826527e-03 +2.2000000e-03,3.8873013e-04 +5.5000000e-03,1.0979779e-03 +1.2500000e-02,1.5438048e-03 +4.4700000e-02,1.9035055e-03 +2.4100000e-02,2.1052844e-03 +6.7900000e-02,2.3211587e-03 +1.6860000e-01,4.4800794e-03 +6.4710000e-01,9.1826527e-03 +2.2000000e-03,3.8873013e-04 +5.5000000e-03,1.0979779e-03 +1.2500000e-02,1.5438048e-03 +4.4700000e-02,1.9035055e-03 +7.3000000e-03,9.8938814e-04 +3.6600000e-02,2.5086517e-03 +4.1600000e-02,2.4864075e-03 +4.2380000e-01,9.6087923e-03 1.0000000e-04,1.0000000e-04 -1.6400000e-02,1.2840907e-03 --5.2000000e-03,5.9254629e-04 --3.9200000e-02,2.5508169e-03 --4.0200000e-02,1.9310331e-03 --4.1360000e-01,8.0072190e-03 -0.0000000e+00,0.0000000e+00 --1.9000000e-03,3.7859389e-04 +1.5000000e-03,4.5338235e-04 +3.0000000e-04,1.5275252e-04 +1.7300000e-02,1.4609738e-03 +-7.3000000e-03,9.8938814e-04 +-3.6600000e-02,2.5086517e-03 +-4.1600000e-02,2.4864075e-03 +-4.2380000e-01,9.6087923e-03 -1.0000000e-04,1.0000000e-04 --1.6400000e-02,1.2840907e-03 -1.6000000e-02,2.1602469e-03 -3.5700000e-02,2.9441090e-03 -1.2200000e-01,3.5932035e-03 -2.2650000e-01,9.2463206e-03 +-1.5000000e-03,4.5338235e-04 +-3.0000000e-04,1.5275252e-04 +-1.7300000e-02,1.4609738e-03 +1.6800000e-02,1.5902481e-03 +3.1300000e-02,3.8094911e-03 +1.2700000e-01,5.0990195e-03 +2.2330000e-01,9.3631073e-03 2.1000000e-03,3.7859389e-04 -3.7000000e-03,8.1717671e-04 -1.1600000e-02,1.4772347e-03 -2.5300000e-02,1.9723083e-03 +4.0000000e-03,1.0540926e-03 +1.2200000e-02,1.6110728e-03 +2.7400000e-02,1.6613248e-03 0.0000000e+00,0.0000000e+00 --2.9700000e-02,2.4587711e-03 +-3.2000000e-02,1.5634719e-03 0.0000000e+00,0.0000000e+00 --3.5090000e-01,3.7161808e-03 +-3.5400000e-01,7.5938572e-03 0.0000000e+00,0.0000000e+00 --2.1000000e-03,4.8189441e-04 +-3.0000000e-03,6.4978629e-04 0.0000000e+00,0.0000000e+00 --2.1400000e-02,1.7397318e-03 +-2.1800000e-02,1.4892205e-03 0.0000000e+00,0.0000000e+00 0.0000000e+00,0.0000000e+00 0.0000000e+00,0.0000000e+00 diff --git a/tests/regression_tests/survival_biasing/results_true.dat b/tests/regression_tests/survival_biasing/results_true.dat index 7402722017..932414e98b 100644 --- a/tests/regression_tests/survival_biasing/results_true.dat +++ b/tests/regression_tests/survival_biasing/results_true.dat @@ -1,20 +1,20 @@ k-combined: -9.879232E-01 8.097582E-03 +9.517646E-01 1.303111E-02 tally 1: -4.295331E+01 -3.691096E+02 -1.802724E+01 -6.501934E+01 -2.193500E+00 -9.627609E-01 -1.893529E+00 -7.174104E-01 -4.902380E+00 -4.808570E+00 -3.418014E-02 -2.337353E-04 -3.667128E+08 -2.690758E+16 +4.164635E+01 +3.470110E+02 +1.724300E+01 +5.949580E+01 +2.124917E+00 +9.034789E-01 +1.844790E+00 +6.809026E-01 +4.784396E+00 +4.579552E+00 +3.348849E-02 +2.243613E-04 +3.573090E+08 +2.554338E+16 tally 2: -1.802724E+01 -6.501934E+01 +1.724300E+01 +5.949580E+01 diff --git a/tests/regression_tests/tallies/results_true.dat b/tests/regression_tests/tallies/results_true.dat index 3dda0f9b21..1d3aca4b07 100644 --- a/tests/regression_tests/tallies/results_true.dat +++ b/tests/regression_tests/tallies/results_true.dat @@ -1 +1 @@ -ddfbb0a6f5498eb8ff33bb10beb64e244b015861919eb4837bd82855e5fd87c3ff97dfa382d3d60afa81c48d9f857fba8e0b99263e7b35587f8adb75be1fc0ec \ No newline at end of file +d01c3accd5b4de2aa166a77df28cfe42f5738a44c2480752fcfae7564a507362fff006b6dffb7b1dfe248e14bacef0070cabacea5d75c5996653e5605f7c7384 \ No newline at end of file diff --git a/tests/regression_tests/tally_aggregation/results_true.dat b/tests/regression_tests/tally_aggregation/results_true.dat index 172adbfe13..ee6263373a 100644 --- a/tests/regression_tests/tally_aggregation/results_true.dat +++ b/tests/regression_tests/tally_aggregation/results_true.dat @@ -1,97 +1,97 @@ -[[1.6001087e-05 5.4190949e-04] - [3.2669968e-01 1.7730523e-01] - [1.8149266e-02 7.1525113e-01]], [[1.6239097e-05 5.7499676e-04] - [3.1268633e-01 1.7004165e-01] - [1.8873778e-02 7.0217885e-01]], [[1.6693071e-05 5.4106379e-04] - [3.3370208e-01 1.8051505e-01] - [1.9081306e-02 7.3647547e-01]], [[1.6725399e-05 5.1680146e-04] - [3.2854628e-01 1.7757185e-01] - [1.9529646e-02 7.1005198e-01]][[2.4751834e-07 4.3304565e-05] - [8.6840718e-03 4.3442535e-03] - [3.7054051e-04 6.5678133e-03]], [[4.0830852e-07 4.9612204e-05] - [1.2104241e-02 5.9708675e-03] - [7.1398189e-04 8.2408482e-03]], [[2.6546344e-07 2.5234256e-05] - [6.5083211e-03 3.2185071e-03] - [4.2935150e-04 5.1707774e-03]], [[2.7845203e-07 3.4453402e-05] - [3.3125427e-03 1.7749508e-03] - [6.0407731e-04 7.5353872e-03]][[1.0455251e-06 8.1938339e-04] - [1.1392765e+00 5.6434761e-01] - [1.4142831e-06 5.1213654e-01]], [[2.2009815e-06 1.0418935e-03] - [1.4422554e-01 1.0070647e-01] - [3.9488382e-05 7.9236390e-01]], [[1.4606612e-05 2.2374470e-04] - [1.2962842e-02 2.9268594e-02] - [3.1339824e-04 1.1056439e+00]], [[4.7805535e-05 8.9749934e-05] - [5.1694597e-03 1.1111105e-02] - [7.5279695e-02 4.5381305e-01]][[1.4955183e-08 1.1461548e-05] - [1.6454649e-02 8.1236707e-03] - [2.0028007e-08 6.8264819e-03]], [[1.6334486e-07 7.7617340e-05] - [2.1161584e-03 1.4078445e-03] - [1.4742097e-05 6.9350862e-03]], [[1.7444757e-07 1.9026095e-06] - [1.4084092e-04 2.0345990e-04] - [5.9546175e-06 8.6038812e-03]], [[5.6449127e-07 1.0110585e-06] - [5.9158873e-05 1.2485325e-04] - [1.0936497e-03 5.0836702e-03]][[0.2866239 0.2725595]], [[0.2729156 0.258831 ]], [[0.2920724 0.2755922]], [[0.287667 0.2703207]], [[0.035617 0.2232707]], [[0.0353082 0.2224423]], [[0.0370072 0.2288263]], [[0.0363348 0.219573 ]], [[0.0033013 0.2850034]], [[0.0032726 0.2771099]], [[0.0034234 0.2951295]], [[0.0032935 0.2778935]], [[0.0193227 0.1122647]], [[0.0200799 0.1144123]], [[0.0202971 0.1179836]], [[0.0207973 0.1203534]][[0.0086351 0.0061876]], [[0.0120688 0.0074831]], [[0.0064221 0.0035246]], [[0.0030483 0.0024267]], [[0.0009185 0.0033896]], [[0.0009223 0.0039584]], [[0.0010541 0.0038599]], [[0.0012934 0.0028331]], [[6.5126963e-05 2.8486593e-03]], [[7.1110242e-05 4.3424340e-03]], [[5.8911409e-05 2.4296178e-03]], [[8.4278765e-05 6.4182190e-03]], [[0.0003712 0.0020298]], [[0.0007152 0.0036115]], [[0.0004298 0.0019677]], [[0.0006046 0.0021965]][[2.0694650e-04] - [4.2868191e-01] - [1.3029457e-01]], [[1.9694048e-04] - [4.0809445e-01] - [1.2345525e-01]], [[2.1012645e-04] - [4.3670571e-01] - [1.3074883e-01]], [[2.0641548e-04] - [4.3014207e-01] - [1.2763930e-01]], [[0.0002584] - [0.0608867] - [0.1977426]], [[0.0003026] - [0.0602368] - [0.1972111]], [[0.0002509] - [0.0624699] - [0.2031126]], [[0.0002322] - [0.0613385] - [0.1943371]], [[5.9349736e-05] - [1.0506741e-02] - [2.7773865e-01]], [[5.7855564e-05] - [1.0389781e-02] - [2.6993483e-01]], [[6.1819700e-05] - [1.0910874e-02] - [2.8758020e-01]], [[5.9326317e-05] - [1.0424040e-02] - [2.7070367e-01]], [[3.3192167e-05] - [3.9295320e-03] - [1.2762462e-01]], [[3.3882691e-05] - [4.0069157e-03] - [1.3045143e-01]], [[3.4882103e-05] - [4.1306182e-03] - [1.3411514e-01]], [[3.5598508e-05] - [4.2134987e-03] - [1.3690156e-01]][[6.4505980e-06] - [9.6369034e-03] - [4.4700460e-03]], [[8.2880772e-06] - [1.3456171e-02] - [4.5368708e-03]], [[3.9384462e-06] - [7.1570638e-03] - [1.5629142e-03]], [[2.3565894e-06] - [3.4040401e-03] - [1.8956916e-03]], [[4.2806047e-05] - [1.1841015e-03] - [3.3058802e-03]], [[4.8905696e-05] - [1.0360139e-03] - [3.9298937e-03]], [[2.4911390e-05] - [1.2173305e-03] - [3.8114473e-03]], [[3.4347869e-05] - [1.5820360e-03] - [2.6824612e-03]], [[1.0809230e-06] - [1.0316180e-04] - [2.8475354e-03]], [[6.4150814e-07] - [1.1179425e-04] - [4.3415770e-03]], [[7.3848139e-07] - [9.3111666e-05] - [2.4285475e-03]], [[1.2349384e-06] - [1.7152843e-04] - [6.4164799e-03]], [[4.5871493e-07] - [5.4732075e-05] - [2.0627309e-03]], [[8.1649994e-07] - [9.7699188e-05] - [3.6803256e-03]], [[4.5174850e-07] - [5.3913784e-05] - [2.0133571e-03]], [[5.0962865e-07] - [6.0338032e-05] - [2.2773911e-03]] \ No newline at end of file +[[1.6242805e-05 6.2367673e-04] + [3.2895972e-01 1.7786452e-01] + [1.8044266e-02 7.0451122e-01]], [[1.6113947e-05 5.3572864e-04] + [3.1517504e-01 1.7132833e-01] + [1.8305682e-02 7.0072832e-01]], [[1.6472052e-05 5.5758006e-04] + [3.2362364e-01 1.7597163e-01] + [1.9107080e-02 7.2600440e-01]], [[1.6693277e-05 4.9204218e-04] + [3.2429262e-01 1.7600573e-01] + [1.9042489e-02 7.3053854e-01]][[2.9719061e-07 8.0925438e-05] + [8.9432259e-03 4.4057583e-03] + [5.2078407e-04 6.4387688e-03]], [[1.8572081e-07 2.5667235e-05] + [1.1641603e-02 5.7444311e-03] + [2.6983611e-04 6.9783224e-03]], [[2.4994113e-07 5.4993390e-05] + [6.0464041e-03 3.0764811e-03] + [2.6559118e-04 7.7279780e-03]], [[2.5965232e-07 3.9618775e-05] + [1.0409564e-02 5.1850104e-03] + [2.7831231e-04 7.4480576e-03]][[1.0329435e-06 8.0861229e-04] + [1.1265142e+00 5.5796079e-01] + [1.3965860e-06 5.0338828e-01]], [[2.2264172e-06 1.0828687e-03] + [1.4724979e-01 1.0226107e-01] + [2.2656045e-05 7.7618945e-01]], [[1.4789782e-05 2.2786630e-04] + [1.3149968e-02 2.9847169e-02] + [3.2638111e-04 1.1287326e+00]], [[4.7472938e-05 8.9680338e-05] + [5.1371041e-03 1.1101179e-02] + [7.4149084e-02 4.5347217e-01]][[1.7024771e-08 1.2878244e-05] + [1.8795566e-02 9.2705008e-03] + [2.2676749e-08 7.0878353e-03]], [[2.2018925e-07 1.0785388e-04] + [2.6715019e-03 1.6657928e-03] + [1.2479083e-05 8.6814018e-03]], [[2.0928485e-07 1.6600875e-06] + [1.1859535e-04 1.7969083e-04] + [1.5981387e-05 8.0489308e-03]], [[4.0016381e-07 7.6799157e-07] + [4.4157583e-05 9.4462925e-05] + [7.0115110e-04 3.8678806e-03]][[0.287433 0.2698042]], [[0.2751228 0.2598525]], [[0.280516 0.2648274]], [[0.2834448 0.2676736]], [[0.0370558 0.2148509]], [[0.0355217 0.2130189]], [[0.0385317 0.2292804]], [[0.0361655 0.2223832]], [[0.0033268 0.2855078]], [[0.0033498 0.2849403]], [[0.003359 0.2901157]], [[0.0034555 0.2982438]], [[0.0192046 0.1128364]], [[0.0195026 0.1147807]], [[0.0203405 0.1183102]], [[0.0202861 0.1187358]][[0.00889 0.0051934]], [[0.0115249 0.0072767]], [[0.0058841 0.0040289]], [[0.0103341 0.0063266]], [[0.0009734 0.0048865]], [[0.0016425 0.0038133]], [[0.0013902 0.0048875]], [[0.0012487 0.0039808]], [[1.8994140e-05 2.0410145e-03]], [[6.8277082e-05 3.4865782e-03]], [[6.1643568e-05 4.9220817e-03]], [[7.4147413e-05 4.9263295e-03]], [[0.0005213 0.0024208]], [[0.0002702 0.0014313]], [[0.0002665 0.0022006]], [[0.0002788 0.0014892]][[2.0601081e-04] + [4.2976789e-01] + [1.2726338e-01]], [[1.9802070e-04] + [4.1138025e-01] + [1.2339705e-01]], [[2.0174854e-04] + [4.1947542e-01] + [1.2566615e-01]], [[2.0386518e-04] + [4.2385140e-01] + [1.2706310e-01]], [[0.0003403] + [0.0624955] + [0.189071 ]], [[0.0002601] + [0.060449 ] + [0.1878314]], [[0.0002765] + [0.0652412] + [0.2022944]], [[0.0002082] + [0.0613252] + [0.1970153]], [[6.0336874e-05] + [1.0617692e-02] + [2.7815664e-01]], [[5.9823997e-05] + [1.0664059e-02] + [2.7756620e-01]], [[6.0873689e-05] + [1.0744209e-02] + [2.8266963e-01]], [[6.1621521e-05] + [1.0971177e-02] + [2.9066650e-01]], [[3.3297391e-05] + [3.9432037e-03] + [1.2806450e-01]], [[3.3863464e-05] + [4.0100180e-03] + [1.3023932e-01]], [[3.4930617e-05] + [4.1344613e-03] + [1.3448129e-01]], [[3.5061805e-05] + [4.1505999e-03] + [1.3483614e-01]][[5.8259835e-06] + [9.9096571e-03] + [2.7933778e-03]], [[8.0858909e-06] + [1.2843377e-02] + [4.5631248e-03]], [[4.3418585e-06] + [6.5638646e-03] + [2.7874612e-03]], [[6.9046376e-06] + [1.1531588e-02] + [3.7205377e-03]], [[8.0710599e-05] + [1.0889301e-03] + [4.8613465e-03]], [[2.4337121e-05] + [1.8861117e-03] + [3.6987509e-03]], [[5.4812439e-05] + [1.7085353e-03] + [4.7852139e-03]], [[3.9007791e-05] + [1.4998363e-03] + [3.8929646e-03]], [[7.5757577e-07] + [2.5845755e-05] + [2.0409391e-03]], [[1.0302346e-06] + [1.1907557e-04] + [3.4852130e-03]], [[9.1936614e-07] + [1.2974020e-04] + [4.9207575e-03]], [[5.6493555e-07] + [1.2113685e-04] + [4.9253980e-03]], [[5.4602210e-07] + [6.5233025e-05] + [2.4754550e-03]], [[3.2091909e-07] + [3.8472906e-05] + [1.4560974e-03]], [[4.8475651e-07] + [5.9108262e-05] + [2.2158781e-03]], [[3.3737822e-07] + [4.0544269e-05] + [1.5145628e-03]] \ No newline at end of file diff --git a/tests/regression_tests/tally_arithmetic/results_true.dat b/tests/regression_tests/tally_arithmetic/results_true.dat index 143930dd41..baa3805871 100644 --- a/tests/regression_tests/tally_arithmetic/results_true.dat +++ b/tests/regression_tests/tally_arithmetic/results_true.dat @@ -1,49 +1,49 @@ -[2.04229e-07 1.28343e-13 1.79333e-04 1.12698e-10 1.89952e-07 1.51210e-07 - 1.66796e-04 1.32777e-04 6.13215e-03 3.85362e-09 3.14746e-03 1.97795e-09 - 5.70345e-03 4.54021e-03 2.92742e-03 2.33037e-03 2.10575e-07 1.28419e-13 - 1.84905e-04 1.12764e-10 1.89188e-07 1.50221e-07 1.66125e-04 1.31908e-04 - 6.32269e-03 3.85587e-09 3.24526e-03 1.97911e-09 5.68054e-03 4.51051e-03 - 2.91566e-03 2.31512e-03 1.96696e-07 1.26388e-13 1.72718e-04 1.10981e-10 - 1.91283e-07 1.53449e-07 1.67964e-04 1.34743e-04 5.90596e-03 3.79491e-09 - 3.03136e-03 1.94782e-09 5.74342e-03 4.60742e-03 2.94794e-03 2.36486e-03 - 2.06016e-07 1.35264e-13 1.80901e-04 1.18775e-10 2.05873e-07 1.65814e-07 - 1.80776e-04 1.45600e-04 6.18579e-03 4.06142e-09 3.17499e-03 2.08461e-09 - 6.18150e-03 4.97869e-03 3.17279e-03 2.55542e-03 2.36089e-03 4.46651e-05 - 1.02263e-02 1.93469e-04 1.18179e-04 2.62375e-05 5.11897e-04 1.13649e-04 - 2.56040e-02 4.84394e-04 4.55595e-02 8.61927e-04 1.28165e-03 2.84546e-04 - 2.28056e-03 5.06320e-04 2.29877e-03 4.53056e-05 9.95724e-03 1.96244e-04 - 1.14803e-04 2.57898e-05 4.97276e-04 1.11710e-04 2.49302e-02 4.91340e-04 - 4.43606e-02 8.74289e-04 1.24504e-03 2.79691e-04 2.21542e-03 4.97680e-04 - 2.31940e-03 4.34238e-05 1.00466e-02 1.88093e-04 1.17620e-04 2.69280e-05 - 5.09479e-04 1.16640e-04 2.51540e-02 4.70932e-04 4.47588e-02 8.37974e-04 - 1.27560e-03 2.92034e-04 2.26979e-03 5.19644e-04 2.19212e-03 4.53914e-05 - 9.49530e-03 1.96615e-04 1.09609e-04 2.41615e-05 4.74778e-04 1.04657e-04 - 2.37736e-02 4.92271e-04 4.23026e-02 8.75944e-04 1.18871e-03 2.62032e-04 - 2.11519e-03 4.66257e-04][2.04229e-07 1.28343e-13 1.79333e-04 1.12698e-10 1.89952e-07 1.51210e-07 - 1.66796e-04 1.32777e-04 6.13215e-03 3.85362e-09 3.14746e-03 1.97795e-09 - 5.70345e-03 4.54021e-03 2.92742e-03 2.33037e-03 2.10575e-07 1.28419e-13 - 1.84905e-04 1.12764e-10 1.89188e-07 1.50221e-07 1.66125e-04 1.31908e-04 - 6.32269e-03 3.85587e-09 3.24526e-03 1.97911e-09 5.68054e-03 4.51051e-03 - 2.91566e-03 2.31512e-03 1.96696e-07 1.26388e-13 1.72718e-04 1.10981e-10 - 1.91283e-07 1.53449e-07 1.67964e-04 1.34743e-04 5.90596e-03 3.79491e-09 - 3.03136e-03 1.94782e-09 5.74342e-03 4.60742e-03 2.94794e-03 2.36486e-03 - 2.06016e-07 1.35264e-13 1.80901e-04 1.18775e-10 2.05873e-07 1.65814e-07 - 1.80776e-04 1.45600e-04 6.18579e-03 4.06142e-09 3.17499e-03 2.08461e-09 - 6.18150e-03 4.97869e-03 3.17279e-03 2.55542e-03 2.36089e-03 4.46651e-05 - 1.02263e-02 1.93469e-04 1.18179e-04 2.62375e-05 5.11897e-04 1.13649e-04 - 2.56040e-02 4.84394e-04 4.55595e-02 8.61927e-04 1.28165e-03 2.84546e-04 - 2.28056e-03 5.06320e-04 2.29877e-03 4.53056e-05 9.95724e-03 1.96244e-04 - 1.14803e-04 2.57898e-05 4.97276e-04 1.11710e-04 2.49302e-02 4.91340e-04 - 4.43606e-02 8.74289e-04 1.24504e-03 2.79691e-04 2.21542e-03 4.97680e-04 - 2.31940e-03 4.34238e-05 1.00466e-02 1.88093e-04 1.17620e-04 2.69280e-05 - 5.09479e-04 1.16640e-04 2.51540e-02 4.70932e-04 4.47588e-02 8.37974e-04 - 1.27560e-03 2.92034e-04 2.26979e-03 5.19644e-04 2.19212e-03 4.53914e-05 - 9.49530e-03 1.96615e-04 1.09609e-04 2.41615e-05 4.74778e-04 1.04657e-04 - 2.37736e-02 4.92271e-04 4.23026e-02 8.75944e-04 1.18871e-03 2.62032e-04 - 2.11519e-03 4.66257e-04][0.0057 0.00454 0.00293 0.00233 0.00568 0.00451 0.00292 0.00232 0.00574 - 0.00461 0.00295 0.00236 0.00618 0.00498 0.00317 0.00256 0.00128 0.00028 - 0.00228 0.00051 0.00125 0.00028 0.00222 0.0005 0.00128 0.00029 0.00227 - 0.00052 0.00119 0.00026 0.00212 0.00047][0.00018 0.00017 0.00315 0.00293 0.00018 0.00017 0.00325 0.00292 0.00017 - 0.00017 0.00303 0.00295 0.00018 0.00018 0.00317 0.00317 0.01023 0.00051 - 0.04556 0.00228 0.00996 0.0005 0.04436 0.00222 0.01005 0.00051 0.04476 - 0.00227 0.0095 0.00047 0.0423 0.00212][0.00293 0.00292 0.00295 0.00317 0.00228 0.00222 0.00227 0.00212] \ No newline at end of file +[2.29467e-07 1.47622e-13 2.02646e-04 1.30367e-10 2.20704e-07 1.76624e-07 + 1.94907e-04 1.55980e-04 6.32267e-03 4.06754e-09 3.26873e-03 2.10286e-09 + 6.08121e-03 4.86666e-03 3.14390e-03 2.51599e-03 1.89223e-07 1.06256e-13 + 1.67106e-04 9.38364e-11 1.53300e-07 1.20220e-07 1.35382e-04 1.06168e-04 + 5.21380e-03 2.92775e-09 2.69546e-03 1.51361e-09 4.22399e-03 3.31252e-03 + 2.18374e-03 1.71253e-03 2.21146e-07 1.41349e-13 1.95297e-04 1.24828e-10 + 2.11844e-07 1.69398e-07 1.87083e-04 1.49598e-04 6.09339e-03 3.89470e-09 + 3.15020e-03 2.01351e-09 5.83710e-03 4.66754e-03 3.01770e-03 2.41305e-03 + 1.92872e-07 1.05908e-13 1.70328e-04 9.35293e-11 1.59466e-07 1.25399e-07 + 1.40827e-04 1.10741e-04 5.31433e-03 2.91817e-09 2.74744e-03 1.50865e-09 + 4.39388e-03 3.45520e-03 2.27158e-03 1.78629e-03 2.44601e-03 4.71663e-05 + 1.09430e-02 2.11013e-04 1.23573e-04 2.76181e-05 5.52841e-04 1.23558e-04 + 2.71755e-02 5.24023e-04 4.76200e-02 9.18253e-04 1.37291e-03 3.06841e-04 + 2.40577e-03 5.37681e-04 2.29014e-03 4.44674e-05 1.02456e-02 1.98938e-04 + 1.12524e-04 2.48126e-05 5.03411e-04 1.11007e-04 2.54438e-02 4.94038e-04 + 4.45855e-02 8.65710e-04 1.25016e-03 2.75671e-04 2.19067e-03 4.83061e-04 + 2.38500e-03 4.58053e-05 1.06700e-02 2.04924e-04 1.22899e-04 2.95267e-05 + 5.49826e-04 1.32097e-04 2.64977e-02 5.08903e-04 4.64323e-02 8.91758e-04 + 1.36542e-03 3.28045e-04 2.39265e-03 5.74839e-04 2.17094e-03 4.21772e-05 + 9.71236e-03 1.88693e-04 1.09358e-04 2.46984e-05 4.89245e-04 1.10496e-04 + 2.41194e-02 4.68594e-04 4.22648e-02 8.21124e-04 1.21498e-03 2.74402e-04 + 2.12902e-03 4.80839e-04][2.29467e-07 1.47622e-13 2.02646e-04 1.30367e-10 2.20704e-07 1.76624e-07 + 1.94907e-04 1.55980e-04 6.32267e-03 4.06754e-09 3.26873e-03 2.10286e-09 + 6.08121e-03 4.86666e-03 3.14390e-03 2.51599e-03 1.89223e-07 1.06256e-13 + 1.67106e-04 9.38364e-11 1.53300e-07 1.20220e-07 1.35382e-04 1.06168e-04 + 5.21380e-03 2.92775e-09 2.69546e-03 1.51361e-09 4.22399e-03 3.31252e-03 + 2.18374e-03 1.71253e-03 2.21146e-07 1.41349e-13 1.95297e-04 1.24828e-10 + 2.11844e-07 1.69398e-07 1.87083e-04 1.49598e-04 6.09339e-03 3.89470e-09 + 3.15020e-03 2.01351e-09 5.83710e-03 4.66754e-03 3.01770e-03 2.41305e-03 + 1.92872e-07 1.05908e-13 1.70328e-04 9.35293e-11 1.59466e-07 1.25399e-07 + 1.40827e-04 1.10741e-04 5.31433e-03 2.91817e-09 2.74744e-03 1.50865e-09 + 4.39388e-03 3.45520e-03 2.27158e-03 1.78629e-03 2.44601e-03 4.71663e-05 + 1.09430e-02 2.11013e-04 1.23573e-04 2.76181e-05 5.52841e-04 1.23558e-04 + 2.71755e-02 5.24023e-04 4.76200e-02 9.18253e-04 1.37291e-03 3.06841e-04 + 2.40577e-03 5.37681e-04 2.29014e-03 4.44674e-05 1.02456e-02 1.98938e-04 + 1.12524e-04 2.48126e-05 5.03411e-04 1.11007e-04 2.54438e-02 4.94038e-04 + 4.45855e-02 8.65710e-04 1.25016e-03 2.75671e-04 2.19067e-03 4.83061e-04 + 2.38500e-03 4.58053e-05 1.06700e-02 2.04924e-04 1.22899e-04 2.95267e-05 + 5.49826e-04 1.32097e-04 2.64977e-02 5.08903e-04 4.64323e-02 8.91758e-04 + 1.36542e-03 3.28045e-04 2.39265e-03 5.74839e-04 2.17094e-03 4.21772e-05 + 9.71236e-03 1.88693e-04 1.09358e-04 2.46984e-05 4.89245e-04 1.10496e-04 + 2.41194e-02 4.68594e-04 4.22648e-02 8.21124e-04 1.21498e-03 2.74402e-04 + 2.12902e-03 4.80839e-04][0.00608 0.00487 0.00314 0.00252 0.00422 0.00331 0.00218 0.00171 0.00584 + 0.00467 0.00302 0.00241 0.00439 0.00346 0.00227 0.00179 0.00137 0.00031 + 0.00241 0.00054 0.00125 0.00028 0.00219 0.00048 0.00137 0.00033 0.00239 + 0.00057 0.00121 0.00027 0.00213 0.00048][0.0002 0.00019 0.00327 0.00314 0.00017 0.00014 0.0027 0.00218 0.0002 + 0.00019 0.00315 0.00302 0.00017 0.00014 0.00275 0.00227 0.01094 0.00055 + 0.04762 0.00241 0.01025 0.0005 0.04459 0.00219 0.01067 0.00055 0.04643 + 0.00239 0.00971 0.00049 0.04226 0.00213][0.00314 0.00218 0.00302 0.00227 0.00241 0.00219 0.00239 0.00213] \ No newline at end of file diff --git a/tests/regression_tests/tally_assumesep/results_true.dat b/tests/regression_tests/tally_assumesep/results_true.dat index 9d7cbf9c3d..c9ccf09282 100644 --- a/tests/regression_tests/tally_assumesep/results_true.dat +++ b/tests/regression_tests/tally_assumesep/results_true.dat @@ -1,11 +1,11 @@ k-combined: -5.683578E-01 1.129170E-02 +6.268465E-01 1.154810E-02 tally 1: -6.753950E+00 -9.188305E+00 +7.828708E+00 +1.230478E+01 tally 2: -2.278558E-01 -1.052944E-02 +2.582239E-01 +1.360117E-02 tally 3: -1.179091E+01 -2.795539E+01 +1.339335E+01 +3.663458E+01 diff --git a/tests/regression_tests/tally_nuclides/results_true.dat b/tests/regression_tests/tally_nuclides/results_true.dat index 7f9641fc8f..93a0e03fb5 100644 --- a/tests/regression_tests/tally_nuclides/results_true.dat +++ b/tests/regression_tests/tally_nuclides/results_true.dat @@ -1,28 +1,28 @@ k-combined: -1.132463E+00 5.721067E-02 +9.732610E-01 1.400780E-02 tally 1: -7.310528E+00 -1.080411E+01 -1.664215E+00 -5.567756E-01 -1.609340E+00 -5.205634E-01 -5.646313E+00 -6.459724E+00 -7.310528E+00 -1.080411E+01 -1.664215E+00 -5.567756E-01 -1.609340E+00 -5.205634E-01 -5.646313E+00 -6.459724E+00 +7.123025E+00 +1.021136E+01 +1.619905E+00 +5.258592E-01 +1.561322E+00 +4.881841E-01 +5.503120E+00 +6.105683E+00 +7.123025E+00 +1.021136E+01 +1.619905E+00 +5.258592E-01 +1.561322E+00 +4.881841E-01 +5.503120E+00 +6.105683E+00 tally 2: -7.310528E+00 -1.080411E+01 -1.664215E+00 -5.567756E-01 -1.609340E+00 -5.205634E-01 -5.646313E+00 -6.459724E+00 +7.123025E+00 +1.021136E+01 +1.619905E+00 +5.258592E-01 +1.561322E+00 +4.881841E-01 +5.503120E+00 +6.105683E+00 diff --git a/tests/regression_tests/tally_slice_merge/results_true.dat b/tests/regression_tests/tally_slice_merge/results_true.dat index 58b15fc18d..4b2cbdf1ad 100644 --- a/tests/regression_tests/tally_slice_merge/results_true.dat +++ b/tests/regression_tests/tally_slice_merge/results_true.dat @@ -1,45 +1,45 @@ cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 0.00e+00 6.25e-01 U235 fission 1.75e-01 1.20e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 0.00e+00 6.25e-01 U235 nu-fission 4.26e-01 2.92e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 0.00e+00 6.25e-01 U238 fission 2.41e-07 1.61e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 0.00e+00 6.25e-01 U238 nu-fission 6.00e-07 4.01e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 6.25e-01 2.00e+07 U235 fission 2.89e-02 2.07e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 6.25e-01 2.00e+07 U235 nu-fission 7.07e-02 5.06e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 6.25e-01 2.00e+07 U238 fission 1.41e-02 5.76e-04 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 6.25e-01 2.00e+07 U238 nu-fission 3.95e-02 1.90e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 0.00e+00 6.25e-01 U235 fission 1.51e-01 1.17e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 0.00e+00 6.25e-01 U235 nu-fission 3.69e-01 2.86e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 0.00e+00 6.25e-01 U238 fission 2.07e-07 1.47e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 0.00e+00 6.25e-01 U238 nu-fission 5.17e-07 3.66e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 6.25e-01 2.00e+07 U235 fission 2.57e-02 2.43e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 6.25e-01 2.00e+07 U235 nu-fission 6.30e-02 5.92e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 6.25e-01 2.00e+07 U238 fission 1.47e-02 1.41e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 27 6.25e-01 2.00e+07 U238 nu-fission 4.12e-02 4.02e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. -0 21 0.00e+00 6.25e-01 U235 fission 1.75e-01 1.20e-02 -1 21 0.00e+00 6.25e-01 U235 nu-fission 4.26e-01 2.92e-02 -2 21 0.00e+00 6.25e-01 U238 fission 2.41e-07 1.61e-08 -3 21 0.00e+00 6.25e-01 U238 nu-fission 6.00e-07 4.01e-08 -4 21 6.25e-01 2.00e+07 U235 fission 2.89e-02 2.07e-03 -5 21 6.25e-01 2.00e+07 U235 nu-fission 7.07e-02 5.06e-03 -6 21 6.25e-01 2.00e+07 U238 fission 1.41e-02 5.76e-04 -7 21 6.25e-01 2.00e+07 U238 nu-fission 3.95e-02 1.90e-03 -8 27 0.00e+00 6.25e-01 U235 fission 1.51e-01 1.17e-02 -9 27 0.00e+00 6.25e-01 U235 nu-fission 3.69e-01 2.86e-02 -10 27 0.00e+00 6.25e-01 U238 fission 2.07e-07 1.47e-08 -11 27 0.00e+00 6.25e-01 U238 nu-fission 5.17e-07 3.66e-08 -12 27 6.25e-01 2.00e+07 U235 fission 2.57e-02 2.43e-03 -13 27 6.25e-01 2.00e+07 U235 nu-fission 6.30e-02 5.92e-03 -14 27 6.25e-01 2.00e+07 U238 fission 1.47e-02 1.41e-03 -15 27 6.25e-01 2.00e+07 U238 nu-fission 4.12e-02 4.02e-03 +0 21 0.00e+00 6.25e-01 U235 fission 1.93e-01 1.92e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 0.00e+00 6.25e-01 U235 nu-fission 4.70e-01 4.67e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 0.00e+00 6.25e-01 U238 fission 2.65e-07 2.60e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 0.00e+00 6.25e-01 U238 nu-fission 6.60e-07 6.47e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 6.25e-01 2.00e+07 U235 fission 3.39e-02 1.53e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 6.25e-01 2.00e+07 U235 nu-fission 8.30e-02 3.75e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 6.25e-01 2.00e+07 U238 fission 1.70e-02 2.01e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 6.25e-01 2.00e+07 U238 nu-fission 4.76e-02 6.12e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 0.00e+00 6.25e-01 U235 fission 7.61e-02 5.84e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 0.00e+00 6.25e-01 U235 nu-fission 1.85e-01 1.42e-02 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 0.00e+00 6.25e-01 U238 fission 1.06e-07 7.62e-09 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 0.00e+00 6.25e-01 U238 nu-fission 2.64e-07 1.90e-08 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 6.25e-01 2.00e+07 U235 fission 1.69e-02 1.34e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 6.25e-01 2.00e+07 U235 nu-fission 4.15e-02 3.29e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 6.25e-01 2.00e+07 U238 fission 1.10e-02 1.69e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 27 6.25e-01 2.00e+07 U238 nu-fission 3.13e-02 5.35e-03 cell energy low [eV] energy high [eV] nuclide score mean std. dev. +0 21 0.00e+00 6.25e-01 U235 fission 1.93e-01 1.92e-02 +1 21 0.00e+00 6.25e-01 U235 nu-fission 4.70e-01 4.67e-02 +2 21 0.00e+00 6.25e-01 U238 fission 2.65e-07 2.60e-08 +3 21 0.00e+00 6.25e-01 U238 nu-fission 6.60e-07 6.47e-08 +4 21 6.25e-01 2.00e+07 U235 fission 3.39e-02 1.53e-03 +5 21 6.25e-01 2.00e+07 U235 nu-fission 8.30e-02 3.75e-03 +6 21 6.25e-01 2.00e+07 U238 fission 1.70e-02 2.01e-03 +7 21 6.25e-01 2.00e+07 U238 nu-fission 4.76e-02 6.12e-03 +8 27 0.00e+00 6.25e-01 U235 fission 7.61e-02 5.84e-03 +9 27 0.00e+00 6.25e-01 U235 nu-fission 1.85e-01 1.42e-02 +10 27 0.00e+00 6.25e-01 U238 fission 1.06e-07 7.62e-09 +11 27 0.00e+00 6.25e-01 U238 nu-fission 2.64e-07 1.90e-08 +12 27 6.25e-01 2.00e+07 U235 fission 1.69e-02 1.34e-03 +13 27 6.25e-01 2.00e+07 U235 nu-fission 4.15e-02 3.29e-03 +14 27 6.25e-01 2.00e+07 U238 fission 1.10e-02 1.69e-03 +15 27 6.25e-01 2.00e+07 U238 nu-fission 3.13e-02 5.35e-03 sum(distribcell) energy low [eV] energy high [eV] nuclide score mean std. dev. 0 (0, 100, 2000, 30000) 0.00e+00 6.25e-01 U235 fission 0.00e+00 0.00e+00 1 (0, 100, 2000, 30000) 0.00e+00 6.25e-01 U235 nu-fission 0.00e+00 0.00e+00 2 (0, 100, 2000, 30000) 0.00e+00 6.25e-01 U238 fission 0.00e+00 0.00e+00 3 (0, 100, 2000, 30000) 0.00e+00 6.25e-01 U238 nu-fission 0.00e+00 0.00e+00 -4 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U235 fission 9.53e-07 9.53e-07 -5 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U235 nu-fission 2.37e-06 2.37e-06 -6 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U238 fission 1.25e-08 1.25e-08 -7 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U238 nu-fission 3.15e-08 3.15e-08 +4 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U235 fission 0.00e+00 0.00e+00 +5 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U235 nu-fission 0.00e+00 0.00e+00 +6 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U238 fission 0.00e+00 0.00e+00 +7 (0, 100, 2000, 30000) 6.25e-01 2.00e+07 U238 nu-fission 0.00e+00 0.00e+00 8 (500, 5000, 50000) 0.00e+00 6.25e-01 U235 fission 0.00e+00 0.00e+00 9 (500, 5000, 50000) 0.00e+00 6.25e-01 U235 nu-fission 0.00e+00 0.00e+00 10 (500, 5000, 50000) 0.00e+00 6.25e-01 U238 fission 0.00e+00 0.00e+00 @@ -49,19 +49,19 @@ 14 (500, 5000, 50000) 6.25e-01 2.00e+07 U238 fission 0.00e+00 0.00e+00 15 (500, 5000, 50000) 6.25e-01 2.00e+07 U238 nu-fission 0.00e+00 0.00e+00 sum(mesh) energy low [eV] energy high [eV] nuclide score mean std. dev. -0 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U235 fission 6.73e-03 3.04e-03 -1 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U235 nu-fission 1.64e-02 7.40e-03 -2 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U238 fission 8.80e-09 3.84e-09 -3 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U238 nu-fission 2.19e-08 9.56e-09 -4 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U235 fission 9.89e-04 3.53e-04 -5 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U235 nu-fission 2.42e-03 8.60e-04 -6 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U238 fission 5.01e-04 2.13e-04 -7 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U238 nu-fission 1.36e-03 5.86e-04 -8 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U235 fission 1.63e-02 4.21e-03 -9 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U235 nu-fission 3.98e-02 1.02e-02 -10 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U238 fission 2.28e-08 5.90e-09 -11 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U238 nu-fission 5.67e-08 1.47e-08 -12 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U235 fission 1.79e-03 4.31e-04 -13 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U235 nu-fission 4.37e-03 1.05e-03 -14 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U238 fission 7.51e-04 2.51e-04 -15 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U238 nu-fission 2.02e-03 6.71e-04 +0 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U235 fission 1.94e-03 1.03e-03 +1 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U235 nu-fission 4.74e-03 2.50e-03 +2 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U238 fission 2.74e-09 1.42e-09 +3 ((1, 1), (1, 2)) 0.00e+00 6.25e-01 U238 nu-fission 6.83e-09 3.53e-09 +4 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U235 fission 9.02e-04 3.69e-04 +5 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U235 nu-fission 2.24e-03 9.12e-04 +6 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U238 fission 1.44e-03 8.42e-04 +7 ((1, 1), (1, 2)) 6.25e-01 2.00e+07 U238 nu-fission 4.37e-03 2.64e-03 +8 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U235 fission 1.27e-02 2.76e-03 +9 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U235 nu-fission 3.09e-02 6.72e-03 +10 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U238 fission 1.70e-08 3.57e-09 +11 ((2, 1), (2, 2)) 0.00e+00 6.25e-01 U238 nu-fission 4.25e-08 8.90e-09 +12 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U235 fission 1.43e-03 1.69e-04 +13 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U235 nu-fission 3.52e-03 4.20e-04 +14 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U238 fission 1.37e-03 2.98e-04 +15 ((2, 1), (2, 2)) 6.25e-01 2.00e+07 U238 nu-fission 4.16e-03 1.08e-03 diff --git a/tests/regression_tests/torus/results_true.dat b/tests/regression_tests/torus/results_true.dat index 42fb209cce..84cd3c7a44 100644 --- a/tests/regression_tests/torus/results_true.dat +++ b/tests/regression_tests/torus/results_true.dat @@ -1,2 +1,2 @@ k-combined: -7.667201E-01 1.136882E-02 +7.666453E-01 1.478848E-02 diff --git a/tests/regression_tests/trace/results_true.dat b/tests/regression_tests/trace/results_true.dat index bbf03de943..97b997ae6b 100644 --- a/tests/regression_tests/trace/results_true.dat +++ b/tests/regression_tests/trace/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 diff --git a/tests/regression_tests/track_output/results_true.dat b/tests/regression_tests/track_output/results_true.dat index 148b54a30b..205ac3eecb 100644 --- a/tests/regression_tests/track_output/results_true.dat +++ b/tests/regression_tests/track_output/results_true.dat @@ -143,76 +143,74 @@ neutron [((-9.469716e-01, -2.580266e-01, 1.414357e-01), (1.438873e-01, 2.365819e ((-3.920090e+00, -9.211794e-01, 2.908406e+00), (9.094673e-01, -3.659267e-01, -1.974002e-01), 9.547085e+00, 1.260840e-07, 1.000000e+00, 23, 2387, 1) ((-3.729948e+00, -9.976834e-01, 2.867135e+00), (-2.916959e-01, -6.494657e-01, -7.022164e-01), 8.590591e+00, 1.750036e-07, 1.000000e+00, 23, 2387, 1) ((-3.744933e+00, -1.031047e+00, 2.831062e+00), (-2.916959e-01, -6.494657e-01, -7.022164e-01), 8.590591e+00, 1.876753e-07, 0.000000e+00, 23, 2387, 1)] -neutron [((6.474155e+00, -5.192870e+00, 5.413003e+00), (-9.112559e-01, 3.950037e-01, 1.165536e-01), 2.052226e+06, 4.450859e-05, 1.000000e+00, 21, 2367, 2) - ((6.037250e+00, -5.003484e+00, 5.468885e+00), (-9.112559e-01, 3.950037e-01, 1.165536e-01), 2.052226e+06, 4.450883e-05, 1.000000e+00, 22, 2367, 3) - ((5.942573e+00, -4.962444e+00, 5.480995e+00), (-9.112559e-01, 3.950037e-01, 1.165536e-01), 2.052226e+06, 4.450889e-05, 1.000000e+00, 23, 2367, 1) - ((5.861800e+00, -4.927431e+00, 5.491326e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.450893e-05, 1.000000e+00, 23, 2367, 1) - ((5.725160e+00, -4.971424e+00, 5.491002e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.450903e-05, 1.000000e+00, 23, 2366, 1) - ((5.494150e+00, -5.045802e+00, 5.490454e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.450919e-05, 1.000000e+00, 22, 2366, 3) - ((5.392865e+00, -5.078412e+00, 5.490213e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.450927e-05, 1.000000e+00, 21, 2366, 2) - ((4.612759e+00, -5.329579e+00, 5.488362e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.450982e-05, 1.000000e+00, 22, 2366, 3) - ((4.511474e+00, -5.362189e+00, 5.488121e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.450989e-05, 1.000000e+00, 23, 2366, 1) - ((4.089400e+00, -5.498082e+00, 5.487119e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.451019e-05, 1.000000e+00, 23, 2365, 1) - ((3.384113e+00, -5.725160e+00, 5.485445e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.451069e-05, 1.000000e+00, 23, 2351, 1) - ((2.453640e+00, -6.024740e+00, 5.483237e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.451136e-05, 1.000000e+00, 23, 2350, 1) - ((2.086813e+00, -6.142846e+00, 5.482366e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.451162e-05, 1.000000e+00, 22, 2350, 3) - ((1.993594e+00, -6.172859e+00, 5.482145e+00), (-9.518772e-01, -3.064714e-01, -2.259335e-03), 1.141417e+06, 4.451168e-05, 1.000000e+00, 21, 2350, 2) - ((1.325704e+00, -6.387896e+00, 5.480560e+00), (8.986086e-01, -4.380574e-01, -2.466265e-02), 9.775839e+05, 4.451216e-05, 1.000000e+00, 21, 2350, 2) - ((2.061403e+00, -6.746538e+00, 5.460368e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451276e-05, 1.000000e+00, 21, 2350, 2) - ((1.122794e+00, -6.498940e+00, 4.743664e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451375e-05, 1.000000e+00, 22, 2350, 3) - ((1.036483e+00, -6.476172e+00, 4.677758e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451384e-05, 1.000000e+00, 23, 2350, 1) - ((8.178800e-01, -6.418507e+00, 4.510837e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451407e-05, 1.000000e+00, 23, 2349, 1) - ((5.725264e-01, -6.353784e+00, 4.323490e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451432e-05, 1.000000e+00, 22, 2349, 3) - ((4.668297e-01, -6.325902e+00, 4.242782e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451444e-05, 1.000000e+00, 21, 2349, 2) - ((-2.989816e-01, -6.123888e+00, 3.658023e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451524e-05, 1.000000e+00, 22, 2349, 3) - ((-4.046782e-01, -6.096006e+00, 3.577315e+00), (-7.778764e-01, 2.051975e-01, -5.939716e-01), 7.813219e+05, 4.451535e-05, 1.000000e+00, 23, 2349, 1) - ((-8.040445e-01, -5.990656e+00, 3.272367e+00), (-7.989001e-01, -1.890553e-01, -5.709787e-01), 6.637114e+05, 4.451577e-05, 1.000000e+00, 23, 2349, 1) - ((-8.178800e-01, -5.993930e+00, 3.262478e+00), (-7.989001e-01, -1.890553e-01, -5.709787e-01), 6.637114e+05, 4.451579e-05, 1.000000e+00, 23, 2348, 1) - ((-1.077910e+00, -6.055465e+00, 3.076633e+00), (-4.487118e-01, 1.670254e-01, -8.779295e-01), 4.550608e+05, 4.451608e-05, 1.000000e+00, 23, 2348, 1) - ((-1.215611e+00, -6.004208e+00, 2.807214e+00), (7.872329e-01, 4.481433e-01, -4.235941e-01), 3.544207e+03, 4.451641e-05, 1.000000e+00, 23, 2348, 1) - ((-1.100296e+00, -5.938564e+00, 2.745166e+00), (8.468456e-01, 5.310954e-01, 2.811230e-02), 2.812308e+03, 4.451819e-05, 1.000000e+00, 23, 2348, 1) - ((-8.178800e-01, -5.761448e+00, 2.754541e+00), (8.468456e-01, 5.310954e-01, 2.811230e-02), 2.812308e+03, 4.452273e-05, 1.000000e+00, 23, 2349, 1) - ((-7.600184e-01, -5.725160e+00, 2.756462e+00), (8.468456e-01, 5.310954e-01, 2.811230e-02), 2.812308e+03, 4.452366e-05, 1.000000e+00, 23, 2363, 1) - ((-2.947156e-01, -5.433347e+00, 2.771908e+00), (8.468456e-01, 5.310954e-01, 2.811230e-02), 2.812308e+03, 4.453115e-05, 1.000000e+00, 22, 2363, 3) - ((-2.073333e-01, -5.378546e+00, 2.774809e+00), (8.468456e-01, 5.310954e-01, 2.811230e-02), 2.812308e+03, 4.453256e-05, 1.000000e+00, 21, 2363, 2) - ((-1.746705e-01, -5.358062e+00, 2.775893e+00), (5.278774e-01, 5.459205e-01, 6.506276e-01), 2.806481e+03, 4.453309e-05, 1.000000e+00, 21, 2363, 2) - ((-8.681718e-02, -5.267205e+00, 2.884176e+00), (-8.975500e-01, 8.968076e-04, -4.409119e-01), 2.764929e+03, 4.453536e-05, 1.000000e+00, 21, 2363, 2) - ((-3.684221e-01, -5.266924e+00, 2.745840e+00), (-8.975500e-01, 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4.300779e-01, -8.518473e-01), 5.653774e+03, 4.455247e-05, 1.000000e+00, 21, 2338, 2) + ((5.162017e+00, -7.741671e+00, 5.421991e+00), (7.522612e-01, -1.036919e-01, -6.506543e-01), 5.619608e+03, 4.456069e-05, 1.000000e+00, 21, 2338, 2) + ((5.184146e+00, -7.744722e+00, 5.402851e+00), (7.522612e-01, -1.036919e-01, -6.506543e-01), 5.619608e+03, 4.456097e-05, 1.000000e+00, 22, 2338, 3) + ((5.348057e+00, -7.767315e+00, 5.261079e+00), (7.522612e-01, -1.036919e-01, -6.506543e-01), 5.619608e+03, 4.456307e-05, 1.000000e+00, 23, 2338, 1) + ((5.581568e+00, -7.799502e+00, 5.059108e+00), (2.029690e-01, -4.131185e-01, -8.877706e-01), 3.359662e+03, 4.456606e-05, 1.000000e+00, 23, 2338, 1) + ((5.707007e+00, -8.054818e+00, 4.510447e+00), (3.894183e-01, -7.459178e-01, -5.403333e-01), 3.303714e+03, 4.457377e-05, 1.000000e+00, 23, 2338, 1) + ((5.725160e+00, -8.089590e+00, 4.485259e+00), (3.894183e-01, -7.459178e-01, -5.403333e-01), 3.303714e+03, 4.457436e-05, 1.000000e+00, 23, 2339, 1) + ((5.750893e+00, -8.138881e+00, 4.449554e+00), (-2.879829e-01, -5.545287e-01, -7.807456e-01), 1.744626e+03, 4.457519e-05, 1.000000e+00, 23, 2339, 1) + ((5.725160e+00, -8.188431e+00, 4.379790e+00), (-2.879829e-01, -5.545287e-01, -7.807456e-01), 1.744626e+03, 4.457674e-05, 1.000000e+00, 23, 2338, 1) + ((5.532143e+00, -8.560097e+00, 3.856504e+00), (-6.185172e-01, -7.766669e-01, -1.192687e-01), 8.559363e+02, 4.458834e-05, 1.000000e+00, 23, 2338, 1) + ((5.522333e+00, -8.572415e+00, 3.854613e+00), (-3.452053e-01, -2.657159e-02, -9.381510e-01), 9.272133e+01, 4.458873e-05, 1.000000e+00, 23, 2338, 1) + ((5.366948e+00, -8.584375e+00, 3.432328e+00), (4.761677e-01, -8.187551e-01, -3.207871e-01), 6.522002e+00, 4.462253e-05, 1.000000e+00, 23, 2338, 1) + ((5.516634e+00, -8.841755e+00, 3.331487e+00), (4.237115e-01, -6.022578e-01, 6.765752e-01), 9.968491e-01, 4.471152e-05, 1.000000e+00, 23, 2338, 1) + ((5.625629e+00, -8.996680e+00, 3.505530e+00), (4.237115e-01, -6.022578e-01, 6.765752e-01), 9.968491e-01, 4.489779e-05, 1.000000e+00, 23, 2325, 1) + ((5.723424e+00, -9.135684e+00, 3.661687e+00), (7.706137e-01, -6.358415e-01, 4.312932e-02), 5.695813e-01, 4.506493e-05, 1.000000e+00, 23, 2325, 1) + ((5.725160e+00, -9.137116e+00, 3.661784e+00), (7.706137e-01, -6.358415e-01, 4.312932e-02), 5.695813e-01, 4.506708e-05, 1.000000e+00, 23, 2326, 1) + ((6.079210e+00, -9.429247e+00, 3.681599e+00), (7.706137e-01, -6.358415e-01, 4.312932e-02), 5.695813e-01, 4.550721e-05, 1.000000e+00, 22, 2326, 3) + ((6.147194e+00, -9.485341e+00, 3.685404e+00), (7.706137e-01, -6.358415e-01, 4.312932e-02), 5.695813e-01, 4.559172e-05, 1.000000e+00, 21, 2326, 2) + ((6.864744e+00, -1.007740e+01, 3.725564e+00), (3.888690e-01, -8.895503e-01, -2.397522e-01), 5.691123e-01, 4.648372e-05, 1.000000e+00, 21, 2326, 2) + ((6.908415e+00, -1.017730e+01, 3.698639e+00), (3.888690e-01, -8.895503e-01, -2.397522e-01), 5.691123e-01, 4.659135e-05, 1.000000e+00, 22, 2326, 3) + ((6.945959e+00, -1.026318e+01, 3.675492e+00), (3.888690e-01, -8.895503e-01, -2.397522e-01), 5.691123e-01, 4.668388e-05, 1.000000e+00, 23, 2326, 1) + ((6.966122e+00, -1.030930e+01, 3.663060e+00), (7.493672e-01, -6.303754e-01, 2.026713e-01), 2.849108e-01, 4.673357e-05, 1.000000e+00, 23, 2326, 1) + ((7.350254e+00, -1.063244e+01, 3.766951e+00), (7.493672e-01, -6.303754e-01, 2.026713e-01), 2.849108e-01, 4.742789e-05, 1.000000e+00, 23, 2311, 1) + ((7.360920e+00, -1.064141e+01, 3.769836e+00), (7.493672e-01, -6.303754e-01, 2.026713e-01), 2.849108e-01, 4.744717e-05, 1.000000e+00, 23, 2312, 1) + ((7.449168e+00, -1.071565e+01, 3.793703e+00), (1.626881e-01, -1.480918e-01, 9.755006e-01), 2.025207e-01, 4.760667e-05, 1.000000e+00, 23, 2312, 1) + ((7.495754e+00, -1.075805e+01, 4.073039e+00), (-1.185723e-01, -6.787603e-01, 7.247241e-01), 2.121260e-01, 4.806671e-05, 1.000000e+00, 23, 2312, 1) + ((7.451135e+00, -1.101347e+01, 4.345753e+00), (-4.978877e-01, -3.750598e-02, 8.664301e-01), 2.609768e-02, 4.865741e-05, 1.000000e+00, 23, 2312, 1) + ((7.426401e+00, -1.101533e+01, 4.388795e+00), (9.221835e-01, -6.407530e-02, 3.814078e-01), 2.031765e-02, 4.887973e-05, 1.000000e+00, 23, 2312, 1) + ((7.438938e+00, -1.101621e+01, 4.393980e+00), (8.832139e-01, 3.563144e-01, 3.049151e-01), 2.038019e-02, 4.894869e-05, 1.000000e+00, 23, 2312, 1) + ((7.578355e+00, -1.095996e+01, 4.442112e+00), (5.564936e-01, 8.135970e-01, 1.684482e-01), 4.869241e-02, 4.974811e-05, 1.000000e+00, 23, 2312, 1) + ((7.802376e+00, -1.063244e+01, 4.509922e+00), (5.564936e-01, 8.135970e-01, 1.684482e-01), 4.869241e-02, 5.106705e-05, 1.000000e+00, 23, 2327, 1) + ((7.826035e+00, -1.059785e+01, 4.517083e+00), (-8.227572e-01, -5.662268e-01, 4.957651e-02), 8.202195e-02, 5.120634e-05, 1.000000e+00, 23, 2327, 1) + ((7.775776e+00, -1.063244e+01, 4.520112e+00), (-8.227572e-01, -5.662268e-01, 4.957651e-02), 8.202195e-02, 5.136055e-05, 1.000000e+00, 23, 2312, 1) + ((7.360920e+00, -1.091795e+01, 4.545109e+00), (-8.227572e-01, -5.662268e-01, 4.957651e-02), 8.202195e-02, 5.263343e-05, 1.000000e+00, 23, 2311, 1) + ((7.180267e+00, -1.104227e+01, 4.555995e+00), (5.568446e-01, -6.706436e-01, -4.900625e-01), 5.560680e-02, 5.318772e-05, 1.000000e+00, 23, 2311, 1) + ((7.207392e+00, -1.107494e+01, 4.532123e+00), (9.936512e-01, 4.529367e-02, -1.029847e-01), 8.142074e-02, 5.333706e-05, 1.000000e+00, 23, 2311, 1) + ((7.252245e+00, -1.107290e+01, 4.527474e+00), (9.936512e-01, 4.529367e-02, -1.029847e-01), 8.142074e-02, 5.345144e-05, 0.000000e+00, 23, 2311, 1)] diff --git a/tests/regression_tests/translation/results_true.dat b/tests/regression_tests/translation/results_true.dat index f832aa2964..6e03d2224f 100644 --- a/tests/regression_tests/translation/results_true.dat +++ b/tests/regression_tests/translation/results_true.dat @@ -1,2 +1,2 @@ k-combined: -4.087580E-01 4.466279E-03 +4.076610E-01 6.454244E-03 diff --git a/tests/regression_tests/trigger_batch_interval/results_true.dat b/tests/regression_tests/trigger_batch_interval/results_true.dat index 0571d6c4f9..92fa99d87a 100644 --- a/tests/regression_tests/trigger_batch_interval/results_true.dat +++ b/tests/regression_tests/trigger_batch_interval/results_true.dat @@ -1,28 +1,28 @@ k-combined: -9.767929E-01 5.327552E-03 +9.863217E-01 6.499354E-03 tally 1: -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 tally 2: -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 diff --git a/tests/regression_tests/trigger_no_batch_interval/results_true.dat b/tests/regression_tests/trigger_no_batch_interval/results_true.dat index 0571d6c4f9..92fa99d87a 100644 --- a/tests/regression_tests/trigger_no_batch_interval/results_true.dat +++ b/tests/regression_tests/trigger_no_batch_interval/results_true.dat @@ -1,28 +1,28 @@ k-combined: -9.767929E-01 5.327552E-03 +9.863217E-01 6.499354E-03 tally 1: -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 tally 2: -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 diff --git a/tests/regression_tests/trigger_no_status/results_true.dat b/tests/regression_tests/trigger_no_status/results_true.dat index fb6c0086ab..a62e1b3fe5 100644 --- a/tests/regression_tests/trigger_no_status/results_true.dat +++ b/tests/regression_tests/trigger_no_status/results_true.dat @@ -1,28 +1,28 @@ k-combined: -9.682315E-01 3.302924E-03 +9.858966E-01 1.500542E-02 tally 1: -7.046510E+00 -9.932168E+00 -1.591675E+00 -5.067777E-01 -1.541572E+00 -4.753743E-01 -5.454835E+00 -5.951990E+00 -7.046510E+00 -9.932168E+00 -1.591675E+00 -5.067777E-01 -1.541572E+00 -4.753743E-01 -5.454835E+00 -5.951990E+00 +7.081828E+00 +1.003709E+01 +1.607382E+00 +5.171386E-01 +1.559242E+00 +4.866413E-01 +5.474447E+00 +5.997737E+00 +7.081828E+00 +1.003709E+01 +1.607382E+00 +5.171386E-01 +1.559242E+00 +4.866413E-01 +5.474447E+00 +5.997737E+00 tally 2: -7.046510E+00 -9.932168E+00 -1.591675E+00 -5.067777E-01 -1.541572E+00 -4.753743E-01 -5.454835E+00 -5.951990E+00 +7.081828E+00 +1.003709E+01 +1.607382E+00 +5.171386E-01 +1.559242E+00 +4.866413E-01 +5.474447E+00 +5.997737E+00 diff --git a/tests/regression_tests/trigger_statepoint_restart/inputs_true.dat b/tests/regression_tests/trigger_statepoint_restart/inputs_true.dat index 01755ad8bc..59a8297009 100644 --- a/tests/regression_tests/trigger_statepoint_restart/inputs_true.dat +++ b/tests/regression_tests/trigger_statepoint_restart/inputs_true.dat @@ -16,7 +16,7 @@ 15 10 - 0.003 + 0.002 std_dev diff --git a/tests/regression_tests/trigger_statepoint_restart/results_true.dat b/tests/regression_tests/trigger_statepoint_restart/results_true.dat index 3e6619d74d..3cb1e230dd 100644 --- a/tests/regression_tests/trigger_statepoint_restart/results_true.dat +++ b/tests/regression_tests/trigger_statepoint_restart/results_true.dat @@ -1,5 +1,5 @@ k-combined: -3.014717E-01 2.864764E-03 +2.948661E-01 1.949846E-03 tally 1: -8.946107E+01 -7.281263E+02 +5.515170E+01 +4.349007E+02 diff --git a/tests/regression_tests/trigger_statepoint_restart/test.py b/tests/regression_tests/trigger_statepoint_restart/test.py index 8144c1d0b0..b242f7f1cf 100644 --- a/tests/regression_tests/trigger_statepoint_restart/test.py +++ b/tests/regression_tests/trigger_statepoint_restart/test.py @@ -29,7 +29,7 @@ def model(): settings.inactive = 10 settings.particles = 400 # Choose a sufficiently low threshold to enable use of trigger - settings.keff_trigger = {'type': 'std_dev', 'threshold': 0.003} + settings.keff_trigger = {'type': 'std_dev', 'threshold': 0.002} settings.trigger_max_batches = 1000 settings.trigger_batch_interval = 1 settings.trigger_active = True @@ -41,10 +41,10 @@ def model(): tallies = openmc.Tallies([t]) # Put it all together - model = openmc.model.Model(materials=materials, - geometry=geometry, - settings=settings, - tallies=tallies) + model = openmc.Model(materials=materials, + geometry=geometry, + settings=settings, + tallies=tallies) return model diff --git a/tests/regression_tests/trigger_tallies/results_true.dat b/tests/regression_tests/trigger_tallies/results_true.dat index 0571d6c4f9..92fa99d87a 100644 --- a/tests/regression_tests/trigger_tallies/results_true.dat +++ b/tests/regression_tests/trigger_tallies/results_true.dat @@ -1,28 +1,28 @@ k-combined: -9.767929E-01 5.327552E-03 +9.863217E-01 6.499354E-03 tally 1: -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 tally 2: -1.405471E+01 -1.976444E+01 -3.186139E+00 -1.015515E+00 -3.088643E+00 -9.542994E-01 -1.086857E+01 -1.182011E+01 +1.423436E+01 +2.027258E+01 +3.223740E+00 +1.039872E+00 +3.125016E+00 +9.771709E-01 +1.101062E+01 +1.212977E+01 diff --git a/tests/regression_tests/triso/results_true.dat b/tests/regression_tests/triso/results_true.dat index fa1842e547..d9850e410f 100644 --- a/tests/regression_tests/triso/results_true.dat +++ b/tests/regression_tests/triso/results_true.dat @@ -1,2 +1,2 @@ k-combined: -1.716873E+00 5.266107E-02 +1.604832E+00 2.031393E-03 diff --git a/tests/regression_tests/uniform_fs/results_true.dat b/tests/regression_tests/uniform_fs/results_true.dat index 46654b49b4..f7ceecfb73 100644 --- a/tests/regression_tests/uniform_fs/results_true.dat +++ b/tests/regression_tests/uniform_fs/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.685309E-01 1.861720E-03 +3.675645E-01 4.342970E-03 diff --git a/tests/regression_tests/universe/results_true.dat b/tests/regression_tests/universe/results_true.dat index bbf03de943..97b997ae6b 100644 --- a/tests/regression_tests/universe/results_true.dat +++ b/tests/regression_tests/universe/results_true.dat @@ -1,2 +1,2 @@ k-combined: -3.070134E-01 3.900396E-03 +2.940336E-01 7.338463E-04 diff --git a/tests/regression_tests/unstructured_mesh/test.py b/tests/regression_tests/unstructured_mesh/test.py index 0082198dde..7607531d8b 100644 --- a/tests/regression_tests/unstructured_mesh/test.py +++ b/tests/regression_tests/unstructured_mesh/test.py @@ -256,7 +256,7 @@ for i, (lib, estimator, ext_geom, holes) in enumerate(product(*param_values)): def test_unstructured_mesh_tets(model, test_opts): # skip the test if the library is not enabled if test_opts['library'] == 'moab' and not openmc.lib._dagmc_enabled(): - pytest.skip("DAGMC (and MOAB) mesh not enbaled in this build.") + pytest.skip("DAGMC (and MOAB) mesh not enabled in this build.") if test_opts['library'] == 'libmesh' and not openmc.lib._libmesh_enabled(): pytest.skip("LibMesh is not enabled in this build.") diff --git a/tests/regression_tests/white_plane/results_true.dat b/tests/regression_tests/white_plane/results_true.dat index 6f1d064eb3..ffb19491dd 100644 --- a/tests/regression_tests/white_plane/results_true.dat +++ b/tests/regression_tests/white_plane/results_true.dat @@ -1,2 +1,2 @@ k-combined: -2.279719E+00 5.380792E-03 +2.274312E+00 4.223342E-03 diff --git a/tests/unit_tests/dagmc/test_plot.py b/tests/unit_tests/dagmc/test_plot.py index 62022b2583..6ce1d79a22 100644 --- a/tests/unit_tests/dagmc/test_plot.py +++ b/tests/unit_tests/dagmc/test_plot.py @@ -64,5 +64,8 @@ def test_plotting_geometry_filled_with_dagmc_universe(request): cell2 = openmc.Cell(fill=csg_material, region=+sphere1 & -sphere2) geometry = openmc.Geometry([cell1, cell2]) - geometry.plot() + + # Close plot to avoid warning + import matplotlib.pyplot as plt + plt.close() diff --git a/tests/unit_tests/test_cell.py b/tests/unit_tests/test_cell.py index 95c8249bb3..60b2058186 100644 --- a/tests/unit_tests/test_cell.py +++ b/tests/unit_tests/test_cell.py @@ -126,6 +126,29 @@ def test_temperature(cell_with_lattice): c.temperature = (300., 600., 900.) +def test_densities(cell_with_lattice): + # Make sure density propagates through universes + m = openmc.Material() + s = openmc.XPlane() + c1 = openmc.Cell(fill=m, region=+s) + c2 = openmc.Cell(fill=m, region=-s) + u1 = openmc.Universe(cells=[c1, c2]) + c = openmc.Cell(fill=u1) + + c.density = 1. + assert c1.density == 1. + assert c2.density == 1. + with pytest.raises(ValueError): + c.density = -1. + c.density = None + assert c1.density == None + assert c2.density == None + + # distributed density + cells, _, _, _ = cell_with_lattice + c = cells[0] + c.density = (1., 2., 3.) + def test_rotation(): u = openmc.Universe() c = openmc.Cell(fill=u) diff --git a/tests/unit_tests/test_deplete_activation.py b/tests/unit_tests/test_deplete_activation.py index 6afea8c9f9..cbe00d680c 100644 --- a/tests/unit_tests/test_deplete_activation.py +++ b/tests/unit_tests/test_deplete_activation.py @@ -45,7 +45,7 @@ ENERGIES = np.logspace(log10(1e-5), log10(2e7), 100) @pytest.mark.parametrize("reaction_rate_mode,reaction_rate_opts,tolerance", [ ("direct", {}, 1e-5), - ("flux", {'energies': ENERGIES}, 0.01), + ("flux", {'energies': ENERGIES}, 0.1), ("flux", {'energies': ENERGIES, 'reactions': ['(n,gamma)']}, 1e-5), ("flux", {'energies': ENERGIES, 'reactions': ['(n,gamma)'], 'nuclides': ['W186', 'H3']}, 1e-2), ]) @@ -61,11 +61,10 @@ def test_activation(run_in_tmpdir, model, reaction_rate_mode, reaction_rate_opts w186 = openmc.deplete.Nuclide('W186') w186.add_reaction('(n,gamma)', None, 0.0, 1.0) chain.add_nuclide(w186) - chain.export_to_xml('test_chain.xml') # Create transport operator op = openmc.deplete.CoupledOperator( - model, 'test_chain.xml', + model, chain, normalization_mode="source-rate", reaction_rate_mode=reaction_rate_mode, reaction_rate_opts=reaction_rate_opts, diff --git a/tests/unit_tests/test_deplete_resultslist.py b/tests/unit_tests/test_deplete_resultslist.py index 308eccf7bb..9a4699a4fd 100644 --- a/tests/unit_tests/test_deplete_resultslist.py +++ b/tests/unit_tests/test_deplete_resultslist.py @@ -21,14 +21,14 @@ def test_get_activity(res): t_ref = np.array([0.0, 1296000.0, 2592000.0, 3888000.0]) a_ref = np.array( - [1.25167956e+06, 3.71938527e+11, 4.43264300e+11, 3.55547176e+11]) + [1.25167956e+06, 3.69842310e+11, 3.70099291e+11, 3.53629755e+11]) np.testing.assert_allclose(t, t_ref) np.testing.assert_allclose(a, a_ref) # Check by_nuclide a_xe135_ref = np.array( - [2.106574218e+05, 1.227519888e+11, 1.177491828e+11, 1.031986176e+11]) + [2.10657422e+05, 1.12825236e+11, 1.09055177e+11, 1.07491257e+11]) t_nuc, a_nuc = res.get_activity("1", by_nuclide=True) a_xe135 = np.array([a_nuc_i["Xe135"] for a_nuc_i in a_nuc]) @@ -43,7 +43,7 @@ def test_get_atoms(res): t_ref = np.array([0.0, 1296000.0, 2592000.0, 3888000.0]) n_ref = np.array( - [6.67473282e+08, 3.88942731e+14, 3.73091215e+14, 3.26987387e+14]) + [6.67473282e+08, 3.57489567e+14, 3.45544042e+14, 3.40588723e+14]) np.testing.assert_allclose(t, t_ref) np.testing.assert_allclose(n, n_ref) @@ -71,7 +71,7 @@ def test_get_decay_heat(res): t_ref = np.array([0.0, 1296000.0, 2592000.0, 3888000.0]) dh_ref = np.array( - [1.27933813e-09, 5.85347232e-03, 7.38773010e-03, 5.79954067e-03]) + [1.27933813e-09, 5.95370258e-03, 6.01335600e-03, 5.69831173e-03]) t, dh = res.get_decay_heat("1") @@ -80,7 +80,7 @@ def test_get_decay_heat(res): # Check by nuclide dh_xe135_ref = np.array( - [1.27933813e-09, 7.45481920e-04, 7.15099509e-04, 6.26732849e-04]) + [1.27933813e-09, 6.85196014e-04, 6.62300168e-04, 6.52802366e-04]) t_nuc, dh_nuc = res.get_decay_heat("1", by_nuclide=True) dh_nuc_xe135 = np.array([dh_nuc_i["Xe135"] for dh_nuc_i in dh_nuc]) @@ -95,7 +95,7 @@ def test_get_mass(res): t_ref = np.array([0.0, 1296000.0, 2592000.0, 3888000.0]) n_ref = np.array( - [6.67473282e+08, 3.88942731e+14, 3.73091215e+14, 3.26987387e+14]) + [6.67473282e+08, 3.57489567e+14, 3.45544042e+14, 3.40588723e+14]) # Get g n_ref *= openmc.data.atomic_mass('Xe135') / openmc.data.AVOGADRO @@ -123,8 +123,8 @@ def test_get_reaction_rate(res): t, r = res.get_reaction_rate("1", "Xe135", "(n,gamma)") t_ref = [0.0, 1296000.0, 2592000.0, 3888000.0] - n_ref = [6.67473282e+08, 3.88942731e+14, 3.73091215e+14, 3.26987387e+14] - xs_ref = [2.53336104e-05, 4.21747011e-05, 3.48616127e-05, 3.61775563e-05] + n_ref = [6.67473282e+08, 3.57489567e+14, 3.45544042e+14, 3.40588723e+14] + xs_ref = [3.10220818e-05, 3.36754072e-05, 3.12740350e-05, 3.86717693e-05] np.testing.assert_allclose(t, t_ref) np.testing.assert_allclose(r, np.array(n_ref) * xs_ref) @@ -136,8 +136,8 @@ def test_get_keff(res): t_min, k = res.get_keff(time_units='min') t_ref = [0.0, 1296000.0, 2592000.0, 3888000.0] - k_ref = [1.1596402556, 1.1914183335, 1.2292570871, 1.1797030302] - u_ref = [0.0270680649, 0.0219163444, 0.024268508 , 0.0221401194] + k_ref = [1.1773089172, 1.2231748584, 1.1611455694, 1.1714783649] + u_ref = [0.0384666252, 0.0311915665, 0.0226370102, 0.0315964732] np.testing.assert_allclose(t, t_ref) np.testing.assert_allclose(t_min * 60, t_ref) diff --git a/tests/unit_tests/test_ifp.py b/tests/unit_tests/test_ifp.py index 8d0fd98010..e527f16246 100644 --- a/tests/unit_tests/test_ifp.py +++ b/tests/unit_tests/test_ifp.py @@ -47,3 +47,42 @@ def test_exceptions(options, error, run_in_tmpdir, geometry): tallies = openmc.Tallies([tally]) model = openmc.Model(geometry=geometry, settings=settings, tallies=tallies) model.run() + + +@pytest.mark.parametrize( + "num_groups, use_auto_tallies", + [ + (None, True), + (None, False), + (6, True), + (6, False), + ], +) +def test_get_kinetics_parameters(run_in_tmpdir, geometry, num_groups, use_auto_tallies): + # Create basic model + model = openmc.Model(geometry=geometry) + model.settings.particles = 1000 + model.settings.batches = 20 + model.settings.inactive = 5 + model.settings.ifp_n_generation = 5 + + # Add IFP tallies either via the convenience method or manually + if use_auto_tallies: + model.add_kinetics_parameters_tallies(num_groups=num_groups) + else: + for score in ["ifp-time-numerator", "ifp-beta-numerator", "ifp-denominator"]: + tally = openmc.Tally() + tally.scores = [score] + if score == "ifp-beta-numerator" and num_groups is not None: + tally.filters = [openmc.DelayedGroupFilter(list(range(1, num_groups + 1)))] + model.tallies.append(tally) + + # Run and get kinetics parameters + sp_file = model.run() + with openmc.StatePoint(sp_file) as sp: + params = sp.get_kinetics_parameters() + assert isinstance(params, openmc.KineticsParameters) + assert params.generation_time is not None + assert params.beta_effective is not None + if num_groups is not None: + assert len(params.beta_effective) == num_groups diff --git a/tests/unit_tests/test_lib.py b/tests/unit_tests/test_lib.py index 8ab35335fc..43bc5a8f6f 100644 --- a/tests/unit_tests/test_lib.py +++ b/tests/unit_tests/test_lib.py @@ -159,6 +159,34 @@ def test_properties_temperature(lib_init): assert cell.get_temperature() == pytest.approx(200.0) +def test_cell_density(lib_init): + cell = openmc.lib.cells[1] + print('density', cell.get_density()) + orig_density = cell.get_density() + try: + cell.set_density(1.5, 0) + assert cell.get_density(0) == pytest.approx(1.5) + cell.set_density(2.0) + assert cell.get_density() == pytest.approx(2.0) + finally: + cell.set_density(orig_density) + + +def test_properties_cell_density(lib_init): + # Cell density should be 2.0 from above test + cell = openmc.lib.cells[1] + orig_density = cell.get_density() + + # Export properties and change density + openmc.lib.export_properties('properties.h5') + cell.set_density(3.0) + assert cell.get_density() == pytest.approx(3.0) + + # Import properties and check that density is restored + openmc.lib.import_properties('properties.h5') + assert cell.get_density() == pytest.approx(orig_density) + + def test_new_cell(lib_init): with pytest.raises(exc.AllocationError): openmc.lib.Cell(1) diff --git a/tests/unit_tests/test_mesh.py b/tests/unit_tests/test_mesh.py index 67ca4028e0..f0f289408a 100644 --- a/tests/unit_tests/test_mesh.py +++ b/tests/unit_tests/test_mesh.py @@ -3,10 +3,12 @@ from tempfile import TemporaryDirectory from pathlib import Path import numpy as np +from scipy.stats import chi2 import pytest import openmc import openmc.lib from openmc.utility_funcs import change_directory +from uncertainties.unumpy import uarray, nominal_values, std_devs @pytest.mark.parametrize("val_left,val_right", [(0, 0), (-1., -1.), (2.0, 2)]) @@ -481,7 +483,7 @@ def test_umesh(run_in_tmpdir, simple_umesh, export_type): np.testing.assert_almost_equal(mean, ref_data) # attempt to apply a dataset with an improper size to a VTK write - with pytest.raises(ValueError, match='Cannot apply dataset "mean"') as e: + with pytest.raises(ValueError, match='Cannot apply dataset "mean"'): simple_umesh.write_data_to_vtk(datasets={'mean': ref_data[:-2]}, filename=filename) def test_mesh_get_homogenized_materials(): @@ -620,6 +622,33 @@ def test_mesh_material_volumes_serialize(): assert new_volumes.by_element(3) == [(2, 1.0)] +def test_mesh_material_volumes_boundary_conditions(sphere_model): + """Test the material volumes method using a regular mesh + that overlaps with a vacuum boundary condition.""" + + mesh = openmc.SphericalMesh.from_domain(sphere_model.geometry, dimension=(1, 1, 1)) + # extend mesh beyond the outer sphere surface to test rays crossing the boundary condition + mesh.r_grid[-1] += 5.0 + + # add a new cell to the modelthat occupies the outside of the sphere + sphere_surfaces = list(filter(lambda s: isinstance(s, openmc.Sphere), + sphere_model.geometry.get_all_surfaces().values())) + outer_cell = openmc.Cell(region=+sphere_surfaces[0]) + sphere_model.geometry.root_universe.add_cell(outer_cell) + + volumes = mesh.material_volumes(sphere_model, (0, 100, 100)) + sphere_volume = 4/3*np.pi*25**3 + mats = sphere_model.materials + expected_volumes = [(mats[0].id, 0.25*sphere_volume), + (mats[1].id, 0.25*sphere_volume), + (mats[2].id, 0.5*sphere_volume), + (None, 4/3*np.pi*mesh.r_grid[-1]**3 - sphere_volume)] + + for evaluated, expected in zip(volumes.by_element(0), expected_volumes): + assert evaluated[0] == expected[0] + assert evaluated[1] == pytest.approx(expected[1], rel=1e-2) + + def test_raytrace_mesh_infinite_loop(run_in_tmpdir): # Create a model with one large spherical cell sphere = openmc.Sphere(r=100, boundary_type='vacuum') @@ -651,3 +680,82 @@ def test_raytrace_mesh_infinite_loop(run_in_tmpdir): # Run the model; this should not cause an infinite loop model.run() + + +def test_filter_time_mesh(run_in_tmpdir): + """Test combination of TimeFilter and MeshFilter""" + + # Define material + mat = openmc.Material() + mat.add_nuclide('Fe56', 1.0) + mat.set_density('g/cm3', 7.8) + + # Define geometry + surf_Z1 = openmc.XPlane(x0=-1e10, boundary_type="reflective") + surf_Z2 = openmc.XPlane(x0=1e10, boundary_type="reflective") + cell_F = openmc.Cell(fill=mat, region=+surf_Z1 & -surf_Z2) + model = openmc.Model() + model.geometry = openmc.Geometry([cell_F]) + + # Define settings + model.settings.run_mode = "fixed source" + model.settings.particles = 1000 + model.settings.batches = 20 + model.settings.output = {"tallies": False} + model.settings.cutoff = {"time_neutron": 1e-7} + + # Define tallies + + # Create a mesh filter that can be used in a tally + mesh = openmc.RegularMesh() + mesh.dimension = (21, 1, 1) + mesh.lower_left = (-20.5, -1e10, -1e10) + mesh.upper_right = (20.5, 1e10, 1e10) + time_grid = np.linspace(0.0, 1e-7, 21) + + mesh_filter = openmc.MeshFilter(mesh) + time_filter = openmc.TimeFilter(time_grid) + + # Now use the mesh filter in a tally and indicate what scores are desired + tally1 = openmc.Tally(name="collision") + tally1.estimator = "collision" + tally1.filters = [time_filter, mesh_filter] + tally1.scores = ["flux"] + tally2 = openmc.Tally(name="tracklength") + tally2.estimator = "tracklength" + tally2.filters = [time_filter, mesh_filter] + tally2.scores = ["flux"] + model.tallies = openmc.Tallies([tally1, tally2]) + + # Run and post-process + model.run(apply_tally_results=True) + + # Get radial flux distribution + flux_collision = tally1.mean.ravel() + flux_collision_unc = tally1.std_dev.ravel() + flux_tracklength = tally2.mean.ravel() + flux_tracklength_unc = tally2.std_dev.ravel() + + # Construct arrays with uncertainties + collision = uarray(flux_collision, flux_collision_unc) + tracklength = uarray(flux_tracklength, flux_tracklength_unc) + delta = collision - tracklength + + # Compute differences and standard deviations + diff = nominal_values(delta) + std_dev = std_devs(delta) + + # Exclude zero-uncertainty bins + mask = std_dev > 0.0 + dof = int(np.sum(mask)) + + # Global chi-square consistency test between collision and tracklength + # estimators. Target false positive rate ~1e-4 (1 in 10,000) + z = diff[mask] / std_dev[mask] + chi2_stat = np.sum(z * z) + alpha = 1.0e-4 + crit = chi2.ppf(1 - alpha, dof) + assert chi2_stat < crit, ( + f"Collision vs tracklength tallies disagree: chi2={chi2_stat:.2f} " + f">= {crit=:.2f} ({dof=}, {alpha=})" + ) diff --git a/tests/unit_tests/test_model.py b/tests/unit_tests/test_model.py index 6e4dec00ff..60f8b1a25a 100644 --- a/tests/unit_tests/test_model.py +++ b/tests/unit_tests/test_model.py @@ -251,10 +251,11 @@ def test_import_properties(run_in_tmpdir, mpi_intracomm): model = openmc.examples.pwr_pin_cell() model.init_lib(output=False, intracomm=mpi_intracomm) - # Change fuel temperature and density and export properties + # Change cell fuel temperature, density, material density and export properties cell = openmc.lib.cells[1] cell.set_temperature(600.0) cell.fill.set_density(5.0, 'g/cm3') + cell.set_density(10.0) openmc.lib.export_properties(output=False) # Import properties to existing model @@ -264,9 +265,11 @@ def test_import_properties(run_in_tmpdir, mpi_intracomm): # First python cell = model.geometry.get_all_cells()[1] assert cell.temperature == [600.0] + assert cell.density == [pytest.approx(10.0, 1e-5)] assert cell.fill.get_mass_density() == pytest.approx(5.0) # Now C assert openmc.lib.cells[1].get_temperature() == 600. + assert openmc.lib.cells[1].get_density() == pytest.approx(10.0, 1e-5) assert openmc.lib.materials[1].get_density('g/cm3') == pytest.approx(5.0) # Clear the C API @@ -283,6 +286,7 @@ def test_import_properties(run_in_tmpdir, mpi_intracomm): ) cell = model_with_properties.geometry.get_all_cells()[1] assert cell.temperature == [600.0] + assert cell.density == [pytest.approx(10.0, 1e-5)] assert cell.fill.get_mass_density() == pytest.approx(5.0) @@ -650,6 +654,10 @@ def test_model_plot(): test_mask = (image_data == white) | (image_data == red) assert np.all(test_mask), "Colors other than white or red found in overlap plot image" + # Close plots to avoid warning + import matplotlib.pyplot as plt + plt.close('all') + def test_model_id_map_initialization(run_in_tmpdir): model = openmc.examples.pwr_assembly() diff --git a/tests/unit_tests/test_region.py b/tests/unit_tests/test_region.py index cbcd198312..cb9fa171bb 100644 --- a/tests/unit_tests/test_region.py +++ b/tests/unit_tests/test_region.py @@ -248,6 +248,10 @@ def test_plot(): c_before = openmc.Cell() region.plot() + # Close plot to avoid warning + import matplotlib.pyplot as plt + plt.close() + # Ensure that calling plot doesn't affect cell ID space c_after = openmc.Cell() assert c_after.id - 1 == c_before.id diff --git a/tests/unit_tests/test_settings.py b/tests/unit_tests/test_settings.py index 7f202bcdc7..6611e4227e 100644 --- a/tests/unit_tests/test_settings.py +++ b/tests/unit_tests/test_settings.py @@ -67,6 +67,7 @@ def test_export_to_xml(run_in_tmpdir): ) } s.max_particle_events = 100 + s.max_secondaries = 1_000_000 s.source_rejection_fraction = 0.01 # Make sure exporting XML works @@ -144,4 +145,5 @@ def test_export_to_xml(run_in_tmpdir): assert s.random_ray['distance_active'] == 100.0 assert s.random_ray['ray_source'].space.lower_left == [-1., -1., -1.] assert s.random_ray['ray_source'].space.upper_right == [1., 1., 1.] + assert s.max_secondaries == 1_000_000 assert s.source_rejection_fraction == 0.01 diff --git a/tests/unit_tests/test_statepoint_batches.py b/tests/unit_tests/test_statepoint_batches.py new file mode 100644 index 0000000000..bf54e18786 --- /dev/null +++ b/tests/unit_tests/test_statepoint_batches.py @@ -0,0 +1,26 @@ +from pathlib import Path + +import openmc + + +def test_statepoint_batches(run_in_tmpdir): + # Create a minimal model + mat = openmc.Material() + mat.add_nuclide('U235', 1.0) + mat.set_density('g/cm3', 4.5) + sphere = openmc.Sphere(r=10.0, boundary_type='vacuum') + cell = openmc.Cell(fill=mat, region=-sphere) + model = openmc.Model() + model.geometry = openmc.Geometry([cell]) + model.settings.batches = 10 + model.settings.inactive = 5 + model.settings.particles = 100 + + # Specify when statepoints should be written + model.settings.statepoint = {'batches': [3, 6, 9]} + + # Run model and ensure that statepoints are created + model.run() + sp_files = ['statepoint.03.h5', 'statepoint.06.h5', 'statepoint.09.h5'] + for f in sp_files: + assert Path(f).is_file() diff --git a/tests/unit_tests/test_universe.py b/tests/unit_tests/test_universe.py index 46d4ec3f73..efe8552a64 100644 --- a/tests/unit_tests/test_universe.py +++ b/tests/unit_tests/test_universe.py @@ -99,6 +99,10 @@ def test_plot(run_in_tmpdir, sphere_model): pixels=100, ) + # Close plots to avoid warning + import matplotlib.pyplot as plt + plt.close('all') + def test_get_nuclides(uo2): c = openmc.Cell(fill=uo2) diff --git a/tests/unit_tests/weightwindows/test_wwinp_reader.py b/tests/unit_tests/weightwindows/test_wwinp_reader.py index 28548a4486..637463bb2e 100644 --- a/tests/unit_tests/weightwindows/test_wwinp_reader.py +++ b/tests/unit_tests/weightwindows/test_wwinp_reader.py @@ -140,4 +140,4 @@ def test_wwinp_reader_failures(wwinp_data, request): filename, expected_failure = wwinp_data with pytest.raises(expected_failure): - _ = openmc.wwinp_to_wws(request.node.path.parent / filename) + _ = openmc.WeightWindowsList.from_wwinp(request.node.path.parent / filename) diff --git a/tools/ci/gha-script.sh b/tools/ci/gha-script.sh index c0f754c32c..c1d2921377 100755 --- a/tools/ci/gha-script.sh +++ b/tools/ci/gha-script.sh @@ -15,4 +15,7 @@ if [[ $EVENT == 'y' ]]; then fi # Run unit tests and then regression tests -pytest --cov=openmc -v $args tests/unit_tests tests/regression_tests +pytest --cov=openmc -v $args \ + tests/test_matplotlib_import.py \ + tests/unit_tests \ + tests/regression_tests