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Merge branch 'develop' into centre_for_cylinder_spherical_meshes

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Patrick Shriwise 2023-03-06 13:37:24 -06:00 • committed by GitHub
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22
.github/workflows/ci.yml vendored
View file

@ -22,10 +22,10 @@ env:
jobs:
main:
runs-on: ubuntu-20.04
runs-on: ubuntu-22.04
strategy:
matrix:
python-version: ['3.10']
python-version: ["3.10"]
mpi: [n, y]
omp: [n, y]
dagmc: [n]
@ -45,27 +45,27 @@ jobs:
omp: n
mpi: n
- dagmc: y
python-version: '3.10'
python-version: "3.10"
mpi: y
omp: y
- ncrystal: y
python-version: '3.10'
python-version: "3.10"
mpi: n
omp: n
- libmesh: y
python-version: '3.10'
python-version: "3.10"
mpi: y
omp: y
- libmesh: y
python-version: '3.10'
python-version: "3.10"
mpi: n
omp: y
- event: y
python-version: '3.10'
python-version: "3.10"
omp: y
mpi: n
- vectfit: y
python-version: '3.10'
python-version: "3.10"
omp: n
mpi: y
name: "Python ${{ matrix.python-version }} (omp=${{ matrix.omp }},
@ -82,6 +82,12 @@ jobs:
EVENT: ${{ matrix.event }}
VECTFIT: ${{ matrix.vectfit }}
LIBMESH: ${{ matrix.libmesh }}
NPY_DISABLE_CPU_FEATURES: "AVX512F AVX512_SKX"
OPENBLAS_NUM_THREADS: 1
# libfabric complains about fork() as a result of using Python multiprocessing.
# We can work around it with RDMAV_FORK_SAFE=1 in libfabric < 1.13 and with
# FI_EFA_FORK_SAFE=1 in more recent versions.
RDMAV_FORK_SAFE: 1
steps:
- uses: actions/checkout@v3

5
docs/source/io_formats/settings.rst
View file

@ -504,7 +504,10 @@ attributes/sub-elements:
independent distributions of r-, cos_theta-, and phi-coordinates where
cos_theta is the cosine of the angle with respect to the z-axis, phi is
the azimuthal angle, and the sphere is centered on the coordinate
(x0,y0,z0).
(x0,y0,z0). A "mesh" spatial distribution samples source sites from a mesh element
based on the relative strengths provided in the node. Source locations
within an element are sampled isotropically. If no strengths are provided,
the space within the mesh is uniformly sampled.
*Default*: None

1
docs/source/pythonapi/stats.rst
View file

@ -57,6 +57,7 @@ Spatial Distributions
openmc.stats.SphericalIndependent
openmc.stats.Box
openmc.stats.Point
openmc.stats.MeshSpatial
.. autosummary::
:toctree: generated

4
docs/source/usersguide/settings.rst
View file

@ -187,7 +187,9 @@ The spatial distribution can be set equal to a sub-class of
:class:`openmc.stats.CartesianIndependent`. To independently specify
distributions using spherical or cylindrical coordinates, you can use
:class:`openmc.stats.SphericalIndependent` or
:class:`openmc.stats.CylindricalIndependent`, respectively.
:class:`openmc.stats.CylindricalIndependent`, respectively. Meshes can also be
used to represent spatial distributions with :class:`openmc.stats.MeshSpatial`
by specifying a mesh and source strengths for each mesh element.
The angular distribution can be set equal to a sub-class of
:class:`openmc.stats.UnitSphere` such as :class:`openmc.stats.Isotropic`,

18
include/openmc/distribution.h
View file

@ -43,7 +43,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
// Properties
const vector<double>& x() const { return x_; }
@ -75,7 +75,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
double a() const { return a_; }
double b() const { return b_; }
@ -99,7 +99,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
double a() const { return std::pow(offset_, ninv_); }
double b() const { return std::pow(offset_ + span_, ninv_); }
@ -124,7 +124,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
double theta() const { return theta_; }
@ -144,7 +144,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
double a() const { return a_; }
double b() const { return b_; }
@ -168,7 +168,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
double mean_value() const { return mean_value_; }
double std_dev() const { return std_dev_; }
@ -191,7 +191,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
// x property
vector<double>& x() { return x_; }
@ -225,7 +225,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
const vector<double>& x() const { return x_; }
@ -244,7 +244,7 @@ public:
//! Sample a value from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled value
double sample(uint64_t* seed) const;
double sample(uint64_t* seed) const override;
private:
// Storrage for probability + distribution

12
include/openmc/distribution_energy.h
View file

@ -37,7 +37,7 @@ public:
//! \param[in] E Incident particle energy in [eV]
//! \param[inout] seed Pseudorandom number seed pointer
//! \return Sampled energy in [eV]
double sample(double E, uint64_t* seed) const;
double sample(double E, uint64_t* seed) const override;
private:
int primary_flag_; //!< Indicator of whether the photon is a primary or
@ -58,7 +58,7 @@ public:
//! \param[in] E Incident particle energy in [eV]
//! \param[inout] seed Pseudorandom number seed pointer
//! \return Sampled energy in [eV]
double sample(double E, uint64_t* seed) const;
double sample(double E, uint64_t* seed) const override;
private:
double threshold_; //!< Energy threshold in lab, (A + 1)/A * |Q|
@ -79,7 +79,7 @@ public:
//! \param[in] E Incident particle energy in [eV]
//! \param[inout] seed Pseudorandom number seed pointer
//! \return Sampled energy in [eV]
double sample(double E, uint64_t* seed) const;
double sample(double E, uint64_t* seed) const override;
private:
//! Outgoing energy for a single incoming energy
@ -110,7 +110,7 @@ public:
//! \param[in] E Incident particle energy in [eV]
//! \param[inout] seed Pseudorandom number seed pointer
//! \return Sampled energy in [eV]
double sample(double E, uint64_t* seed) const;
double sample(double E, uint64_t* seed) const override;
private:
Tabulated1D theta_; //!< Incoming energy dependent parameter
@ -130,7 +130,7 @@ public:
//! \param[in] E Incident particle energy in [eV]
//! \param[inout] seed Pseudorandom number seed pointer
//! \return Sampled energy in [eV]
double sample(double E, uint64_t* seed) const;
double sample(double E, uint64_t* seed) const override;
private:
Tabulated1D theta_; //!< Incoming energy dependent parameter
@ -150,7 +150,7 @@ public:
//! \param[in] E Incident particle energy in [eV]
//! \param[inout] seed Pseudorandom number seed pointer
//! \return Sampled energy in [eV]
double sample(double E, uint64_t* seed) const;
double sample(double E, uint64_t* seed) const override;
private:
Tabulated1D a_; //!< Energy-dependent 'a' parameter

6
include/openmc/distribution_multi.h
View file

@ -42,7 +42,7 @@ public:
//! Sample a direction from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Direction sampled
Direction sample(uint64_t* seed) const;
Direction sample(uint64_t* seed) const override;
// Observing pointers
Distribution* mu() const { return mu_.get(); }
@ -66,7 +66,7 @@ public:
//! Sample a direction from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled direction
Direction sample(uint64_t* seed) const;
Direction sample(uint64_t* seed) const override;
};
//==============================================================================
@ -82,7 +82,7 @@ public:
//! Sample a direction from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled direction
Direction sample(uint64_t* seed) const;
Direction sample(uint64_t* seed) const override;
};
using UPtrAngle = unique_ptr<UnitSphereDistribution>;

37
include/openmc/distribution_spatial.h
View file

@ -4,6 +4,7 @@
#include "pugixml.hpp"
#include "openmc/distribution.h"
#include "openmc/mesh.h"
#include "openmc/position.h"
namespace openmc {
@ -31,7 +32,7 @@ public:
//! Sample a position from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled position
Position sample(uint64_t* seed) const;
Position sample(uint64_t* seed) const override;
// Observer pointers
Distribution* x() const { return x_.get(); }
@ -55,7 +56,7 @@ public:
//! Sample a position from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled position
Position sample(uint64_t* seed) const;
Position sample(uint64_t* seed) const override;
Distribution* r() const { return r_.get(); }
Distribution* phi() const { return phi_.get(); }
@ -80,7 +81,7 @@ public:
//! Sample a position from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled position
Position sample(uint64_t* seed) const;
Position sample(uint64_t* seed) const override;
Distribution* r() const { return r_.get(); }
Distribution* cos_theta() const { return cos_theta_.get(); }
@ -94,6 +95,32 @@ private:
Position origin_; //!< Cartesian coordinates of the sphere center
};
//==============================================================================
//! Distribution of points within a mesh
//==============================================================================
class MeshSpatial : public SpatialDistribution {
public:
explicit MeshSpatial(pugi::xml_node node);
//! Sample a position from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled position
Position sample(uint64_t* seed) const override;
const Mesh* mesh() const { return model::meshes.at(mesh_idx_).get(); }
int32_t n_sources() const { return this->mesh()->n_bins(); }
private:
int32_t mesh_idx_ {C_NONE};
double total_strength_ {0.0};
// TODO: move to an independent class in the future that's similar
// to a discrete distribution without outcomes
std::vector<double> mesh_CDF_;
std::vector<double> mesh_strengths_;
};
//==============================================================================
//! Uniform distribution of points over a box
//==============================================================================
@ -105,7 +132,7 @@ public:
//! Sample a position from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled position
Position sample(uint64_t* seed) const;
Position sample(uint64_t* seed) const override;
// Properties
bool only_fissionable() const { return only_fissionable_; }
@ -131,7 +158,7 @@ public:
//! Sample a position from the distribution
//! \param seed Pseudorandom number seed pointer
//! \return Sampled position
Position sample(uint64_t* seed) const;
Position sample(uint64_t* seed) const override;
Position r() const { return r_; }

50
include/openmc/lattice.h
View file

@ -206,26 +206,28 @@ class RectLattice : public Lattice {
public:
explicit RectLattice(pugi::xml_node lat_node);
int32_t const& operator[](array<int, 3> const& i_xyz);
int32_t const& operator[](array<int, 3> const& i_xyz) override;
bool are_valid_indices(array<int, 3> const& i_xyz) const;
bool are_valid_indices(array<int, 3> const& i_xyz) const override;
std::pair<double, array<int, 3>> distance(
Position r, Direction u, const array<int, 3>& i_xyz) const;
Position r, Direction u, const array<int, 3>& i_xyz) const override;
void get_indices(Position r, Direction u, array<int, 3>& result) const;
void get_indices(
Position r, Direction u, array<int, 3>& result) const override;
int get_flat_index(const array<int, 3>& i_xyz) const;
int get_flat_index(const array<int, 3>& i_xyz) const override;
Position get_local_position(Position r, const array<int, 3>& i_xyz) const;
Position get_local_position(
Position r, const array<int, 3>& i_xyz) const override;
int32_t& offset(int map, array<int, 3> const& i_xyz);
int32_t& offset(int map, array<int, 3> const& i_xyz) override;
int32_t offset(int map, int indx) const;
int32_t offset(int map, int indx) const override;
std::string index_to_string(int indx) const;
std::string index_to_string(int indx) const override;
void to_hdf5_inner(hid_t group_id) const;
void to_hdf5_inner(hid_t group_id) const override;
private:
array<int, 3> n_cells_; //!< Number of cells along each axis
@ -239,32 +241,34 @@ class HexLattice : public Lattice {
public:
explicit HexLattice(pugi::xml_node lat_node);
int32_t const& operator[](array<int, 3> const& i_xyz);
int32_t const& operator[](array<int, 3> const& i_xyz) override;
LatticeIter begin();
LatticeIter begin() override;
ReverseLatticeIter rbegin();
ReverseLatticeIter rbegin() override;
bool are_valid_indices(array<int, 3> const& i_xyz) const;
bool are_valid_indices(array<int, 3> const& i_xyz) const override;
std::pair<double, array<int, 3>> distance(
Position r, Direction u, const array<int, 3>& i_xyz) const;
Position r, Direction u, const array<int, 3>& i_xyz) const override;
void get_indices(Position r, Direction u, array<int, 3>& result) const;
void get_indices(
Position r, Direction u, array<int, 3>& result) const override;
int get_flat_index(const array<int, 3>& i_xyz) const;
int get_flat_index(const array<int, 3>& i_xyz) const override;
Position get_local_position(Position r, const array<int, 3>& i_xyz) const;
Position get_local_position(
Position r, const array<int, 3>& i_xyz) const override;
bool is_valid_index(int indx) const;
bool is_valid_index(int indx) const override;
int32_t& offset(int map, array<int, 3> const& i_xyz);
int32_t& offset(int map, array<int, 3> const& i_xyz) override;
int32_t offset(int map, int indx) const;
int32_t offset(int map, int indx) const override;
std::string index_to_string(int indx) const;
std::string index_to_string(int indx) const override;
void to_hdf5_inner(hid_t group_id) const;
void to_hdf5_inner(hid_t group_id) const override;
private:
enum class Orientation {

57
include/openmc/mesh.h
View file

@ -7,8 +7,8 @@
#include <unordered_map>
#include "hdf5.h"
#include "xtensor/xtensor.hpp"
#include "pugixml.hpp"
#include "xtensor/xtensor.hpp"
#include "openmc/memory.h" // for unique_ptr
#include "openmc/particle.h"
@ -41,7 +41,7 @@ namespace openmc {
// Constants
//==============================================================================
enum class ElementType { UNSUPPORTED=-1, LINEAR_TET, LINEAR_HEX };
enum class ElementType { UNSUPPORTED = -1, LINEAR_TET, LINEAR_HEX };
//==============================================================================
// Global variables
@ -81,6 +81,19 @@ public:
//! Return a position in the local coordinates of the mesh
virtual Position local_coords(const Position& r) const { return r; };
//! Sample a mesh volume using a certain seed
//
//! \param[in] seed Seed to use for random sampling
//! \param[in] bin Bin value of the tet sampled
//! \return sampled position within tet
virtual Position sample(uint64_t* seed, int32_t bin) const = 0;
//! Get the volume of a mesh bin
//
//! \param[in] bin Bin to return the volume for
//! \return Volume of the bin
virtual double volume(int bin) const = 0;
//! Determine which bins were crossed by a particle
//
//! \param[in] r0 Previous position of the particle
@ -166,7 +179,11 @@ public:
}
};
virtual int get_bin(Position r) const;
Position sample(uint64_t* seed, int32_t bin) const override;
double volume(int bin) const override;
int get_bin(Position r) const override;
int n_bins() const override;
@ -484,6 +501,7 @@ public:
virtual std::string get_mesh_type() const override;
// Overridden Methods
void surface_bins_crossed(Position r0, Position r1, const Direction& u,
vector<int>& bins) const override;
@ -532,12 +550,6 @@ public:
//! \return element connectivity as IDs of the vertices
virtual std::vector<int> connectivity(int id) const = 0;
//! Get the volume of a mesh bin
//
//! \param[in] bin Bin to return the volume for
//! \return Volume of the bin
virtual double volume(int bin) const = 0;
//! Get the library used for this unstructured mesh
virtual std::string library() const = 0;
@ -546,6 +558,8 @@ public:
true}; //!< Write tallies onto the unstructured mesh at the end of a run
std::string filename_; //!< Path to unstructured mesh file
ElementType element_type(int bin) const;
protected:
//! Set the length multiplier to apply to each point in the mesh
void set_length_multiplier(const double length_multiplier);
@ -555,6 +569,14 @@ protected:
1.0}; //!< Constant multiplication factor to apply to mesh coordinates
bool specified_length_multiplier_ {false};
//! Sample barycentric coordinates given a seed and the vertex positions and
//! return the sampled position
//
//! \param[in] coords Coordinates of the tetrahedron
//! \param[in] seed Random number generation seed
//! \return Sampled position within the tetrahedron
Position sample_tet(std::array<Position, 4> coords, uint64_t* seed) const;
private:
//! Setup method for the mesh. Builds data structures,
//! sets up element mapping, creates bounding boxes, etc.
@ -575,6 +597,8 @@ public:
// Overridden Methods
Position sample(uint64_t* seed, int32_t bin) const override;
void bins_crossed(Position r0, Position r1, const Direction& u,
vector<int>& bins, vector<double>& lengths) const override;
@ -710,7 +734,7 @@ private:
std::pair<moab::Tag, moab::Tag> get_score_tags(std::string score) const;
// Data members
moab::Range ehs_; //!< Range of tetrahedra EntityHandle's in the mesh
moab::Range ehs_; //!< Range of tetrahedra EntityHandle's in the mesh
moab::Range verts_; //!< Range of vertex EntityHandle's in the mesh
moab::EntityHandle tetset_; //!< EntitySet containing all tetrahedra
moab::EntityHandle kdtree_root_; //!< Root of the MOAB KDTree
@ -728,8 +752,8 @@ class LibMesh : public UnstructuredMesh {
public:
// Constructors
LibMesh(pugi::xml_node node);
LibMesh(const std::string & filename, double length_multiplier = 1.0);
LibMesh(libMesh::MeshBase & input_mesh, double length_multiplier = 1.0);
LibMesh(const std::string& filename, double length_multiplier = 1.0);
LibMesh(libMesh::MeshBase& input_mesh, double length_multiplier = 1.0);
static const std::string mesh_lib_type;
@ -737,6 +761,8 @@ public:
void bins_crossed(Position r0, Position r1, const Direction& u,
vector<int>& bins, vector<double>& lengths) const override;
Position sample(uint64_t* seed, int32_t bin) const override;
int get_bin(Position r) const override;
int n_bins() const override;
@ -782,8 +808,11 @@ private:
int get_bin_from_element(const libMesh::Elem* elem) const;
// Data members
unique_ptr<libMesh::MeshBase> 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
unique_ptr<libMesh::MeshBase> 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<unique_ptr<libMesh::PointLocatorBase>>
pl_; //!< per-thread point locators
unique_ptr<libMesh::EquationSystems>

4
include/openmc/physics.h
View file

@ -87,8 +87,8 @@ Direction sample_target_velocity(const Nuclide& nuc, double E, Direction u,
Direction sample_cxs_target_velocity(
double awr, double E, Direction u, double kT, uint64_t* seed);
void sample_fission_neutron(int i_nuclide, const Reaction& rx, double E_in,
SourceSite* site, uint64_t* seed);
void sample_fission_neutron(
int i_nuclide, const Reaction& rx, SourceSite* site, Particle& p);
//! handles all reactions with a single secondary neutron (other than fission),
//! i.e. level scattering, (n,np), (n,na), etc.

45
include/openmc/scattdata.h
View file

@ -137,22 +137,23 @@ protected:
public:
void init(const xt::xtensor<int, 1>& in_gmin,
const xt::xtensor<int, 1>& in_gmax, const double_2dvec& in_mult,
const double_3dvec& coeffs);
const double_3dvec& coeffs) override;
void combine(
const vector<ScattData*>& those_scatts, const vector<double>& scalars);
void combine(const vector<ScattData*>& those_scatts,
const vector<double>& scalars) override;
//! \brief Find the maximal value of the angular distribution to use as a
// bounding box with rejection sampling.
void update_max_val();
double calc_f(int gin, int gout, double mu);
double calc_f(int gin, int gout, double mu) override;
void sample(int gin, int& gout, double& mu, double& wgt, uint64_t* seed);
void sample(
int gin, int& gout, double& mu, double& wgt, uint64_t* seed) override;
size_t get_order() { return dist[0][0].size() - 1; };
size_t get_order() override { return dist[0][0].size() - 1; };
xt::xtensor<double, 3> get_matrix(size_t max_order);
xt::xtensor<double, 3> get_matrix(size_t max_order) override;
};
//==============================================================================
@ -170,18 +171,19 @@ protected:
public:
void init(const xt::xtensor<int, 1>& in_gmin,
const xt::xtensor<int, 1>& in_gmax, const double_2dvec& in_mult,
const double_3dvec& coeffs);
const double_3dvec& coeffs) override;
void combine(
const vector<ScattData*>& those_scatts, const vector<double>& scalars);
void combine(const vector<ScattData*>& those_scatts,
const vector<double>& scalars) override;
double calc_f(int gin, int gout, double mu);
double calc_f(int gin, int gout, double mu) override;
void sample(int gin, int& gout, double& mu, double& wgt, uint64_t* seed);
void sample(
int gin, int& gout, double& mu, double& wgt, uint64_t* seed) override;
size_t get_order() { return dist[0][0].size(); };
size_t get_order() override { return dist[0][0].size(); };
xt::xtensor<double, 3> get_matrix(size_t max_order);
xt::xtensor<double, 3> get_matrix(size_t max_order) override;
};
//==============================================================================
@ -204,18 +206,19 @@ protected:
public:
void init(const xt::xtensor<int, 1>& in_gmin,
const xt::xtensor<int, 1>& in_gmax, const double_2dvec& in_mult,
const double_3dvec& coeffs);
const double_3dvec& coeffs) override;
void combine(
const vector<ScattData*>& those_scatts, const vector<double>& scalars);
void combine(const vector<ScattData*>& those_scatts,
const vector<double>& scalars) override;
double calc_f(int gin, int gout, double mu);
double calc_f(int gin, int gout, double mu) override;
void sample(int gin, int& gout, double& mu, double& wgt, uint64_t* seed);
void sample(
int gin, int& gout, double& mu, double& wgt, uint64_t* seed) override;
size_t get_order() { return dist[0][0].size(); };
size_t get_order() override { return dist[0][0].size(); };
xt::xtensor<double, 3> get_matrix(size_t max_order);
xt::xtensor<double, 3> get_matrix(size_t max_order) override;
};
//==============================================================================

137
include/openmc/surface.h
View file

@ -146,9 +146,6 @@ class CSGSurface : public Surface {
public:
explicit CSGSurface(pugi::xml_node surf_node);
CSGSurface();
protected:
virtual void to_hdf5_inner(hid_t group_id) const = 0;
};
//==============================================================================
@ -160,11 +157,11 @@ protected:
class SurfaceXPlane : public CSGSurface {
public:
explicit SurfaceXPlane(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double x0_;
};
@ -178,11 +175,11 @@ public:
class SurfaceYPlane : public CSGSurface {
public:
explicit SurfaceYPlane(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double y0_;
};
@ -196,11 +193,11 @@ public:
class SurfaceZPlane : public CSGSurface {
public:
explicit SurfaceZPlane(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double z0_;
};
@ -214,10 +211,10 @@ public:
class SurfacePlane : public CSGSurface {
public:
explicit SurfacePlane(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double A_, B_, C_, D_;
};
@ -232,11 +229,11 @@ public:
class SurfaceXCylinder : public CSGSurface {
public:
explicit SurfaceXCylinder(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double y0_, z0_, radius_;
};
@ -251,11 +248,11 @@ public:
class SurfaceYCylinder : public CSGSurface {
public:
explicit SurfaceYCylinder(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double x0_, z0_, radius_;
};
@ -270,11 +267,11 @@ public:
class SurfaceZCylinder : public CSGSurface {
public:
explicit SurfaceZCylinder(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double x0_, y0_, radius_;
};
@ -289,11 +286,11 @@ public:
class SurfaceSphere : public CSGSurface {
public:
explicit SurfaceSphere(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
BoundingBox bounding_box(bool pos_side) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
BoundingBox bounding_box(bool pos_side) const override;
double x0_, y0_, z0_, radius_;
};
@ -308,10 +305,10 @@ public:
class SurfaceXCone : public CSGSurface {
public:
explicit SurfaceXCone(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double x0_, y0_, z0_, radius_sq_;
};
@ -326,10 +323,10 @@ public:
class SurfaceYCone : public CSGSurface {
public:
explicit SurfaceYCone(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double x0_, y0_, z0_, radius_sq_;
};
@ -344,10 +341,10 @@ public:
class SurfaceZCone : public CSGSurface {
public:
explicit SurfaceZCone(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double x0_, y0_, z0_, radius_sq_;
};
@ -362,10 +359,10 @@ public:
class SurfaceQuadric : public CSGSurface {
public:
explicit SurfaceQuadric(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
// Ax^2 + By^2 + Cz^2 + Dxy + Eyz + Fxz + Gx + Hy + Jz + K = 0
double A_, B_, C_, D_, E_, F_, G_, H_, J_, K_;
@ -380,10 +377,10 @@ public:
class SurfaceXTorus : public CSGSurface {
public:
explicit SurfaceXTorus(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double x0_, y0_, z0_, A_, B_, C_;
};
@ -397,10 +394,10 @@ public:
class SurfaceYTorus : public CSGSurface {
public:
explicit SurfaceYTorus(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double x0_, y0_, z0_, A_, B_, C_;
};
@ -414,10 +411,10 @@ public:
class SurfaceZTorus : public CSGSurface {
public:
explicit SurfaceZTorus(pugi::xml_node surf_node);
double evaluate(Position r) const;
double distance(Position r, Direction u, bool coincident) const;
Direction normal(Position r) const;
void to_hdf5_inner(hid_t group_id) const;
double evaluate(Position r) const override;
double distance(Position r, Direction u, bool coincident) const override;
Direction normal(Position r) const override;
void to_hdf5_inner(hid_t group_id) const override;
double x0_, y0_, z0_, A_, B_, C_;
};

19
include/openmc/tallies/filter.h
View file

@ -157,5 +157,24 @@ extern vector<unique_ptr<Filter>> tally_filters;
//! Make sure index corresponds to a valid filter
int verify_filter(int32_t index);
//==============================================================================
// Filter implementation
//==============================================================================
template<typename T>
T* Filter::create(int32_t id)
{
static_assert(std::is_base_of<Filter, T>::value,
"Type specified is not derived from openmc::Filter");
// Create filter and add to filters vector
auto filter = make_unique<T>();
auto ptr_out = filter.get();
model::tally_filters.emplace_back(std::move(filter));
// Assign ID
model::tally_filters.back()->set_id(id);
return ptr_out;
}
} // namespace openmc
#endif // OPENMC_TALLIES_FILTER_H

2
include/openmc/volume_calc.h
View file

@ -35,6 +35,8 @@ public:
// Constructors
VolumeCalculation(pugi::xml_node node);
VolumeCalculation() = default;
// Methods
//! \brief Stochastically determine the volume of a set of domains along with

4
openmc/arithmetic.py
View file

@ -604,6 +604,10 @@ class AggregateFilter:
def num_bins(self):
return len(self.bins) if self.aggregate_filter else 0
@property
def shape(self):
return (self.num_bins,)
@type.setter
def type(self, filter_type):
if filter_type not in _FILTER_TYPES:

6
openmc/cmfd.py
View file

@ -246,7 +246,7 @@ class CMFDMesh:
Real)
check_greater_than('CMFD mesh {}-grid length'.format(dims[i]),
len(grid[i]), 1)
self._grid = np.array(grid)
self._grid = [np.array(g) for g in grid]
self._display_mesh_warning('rectilinear', 'CMFD mesh grid')
def _display_mesh_warning(self, mesh_type, variable_label):
@ -1382,9 +1382,7 @@ class CMFDRun:
"""
# Write each element in vector to file
with open(base_filename+'.dat', 'w') as fh:
for val in vector:
fh.write('{:0.8f}\n'.format(val))
np.savetxt(f'{base_filename}.dat', vector, fmt='%.8f')
# Save as numpy format
np.save(base_filename, vector)

2
openmc/data/data.py
View file

@ -492,7 +492,7 @@ def isotopes(element):
# Get the nuclides present in nature
result = []
for kv in sorted(NATURAL_ABUNDANCE.items()):
for kv in NATURAL_ABUNDANCE.items():
if re.match(r'{}\d+'.format(element), kv[0]):
result.append(kv)

6
openmc/data/njoy.py
View file

@ -51,7 +51,7 @@ _THERMAL_DATA = {
'c_Li_in_FLiBe': ThermalTuple('liflib', [3006, 3007], 1),
'c_Mg24': ThermalTuple('mg24', [12024], 1),
'c_N_in_UN': ThermalTuple('n-un', [7014, 7015], 1),
'c_O_in_Al2O3': ThermalTuple('osap00', [92238], 1),
'c_O_in_Al2O3': ThermalTuple('osap00', [8016, 8017, 8018], 1),
'c_O_in_BeO': ThermalTuple('obeo', [8016, 8017, 8018], 1),
'c_O_in_D2O': ThermalTuple('od2o', [8016, 8017, 8018], 1),
'c_O_in_H2O_solid': ThermalTuple('oice', [8016, 8017, 8018], 1),
@ -64,8 +64,8 @@ _THERMAL_DATA = {
'c_Si_in_SiC': ThermalTuple('sisic', [14028, 14029, 14030], 1),
'c_SiO2_alpha': ThermalTuple('sio2-a', [8016, 8017, 8018, 14028, 14029, 14030], 3),
'c_SiO2_beta': ThermalTuple('sio2-b', [8016, 8017, 8018, 14028, 14029, 14030], 3),
'c_U_in_UN': ThermalTuple('u-un', [92238], 1),
'c_U_in_UO2': ThermalTuple('uuo2', [8016, 8017, 8018], 1),
'c_U_in_UN': ThermalTuple('u-un', [92233, 92234, 92235, 92236, 92238], 1),
'c_U_in_UO2': ThermalTuple('uuo2', [92233, 92234, 92235, 92236, 92238], 1),
'c_Y_in_YH2': ThermalTuple('yyh2', [39089], 1),
'c_Zr_in_ZrH': ThermalTuple('zrzrh', [40000, 40090, 40091, 40092, 40094, 40096], 1),
'c_Zr_in_ZrH2': ThermalTuple('zrzrh2', [40000, 40090, 40091, 40092, 40094, 40096], 1),

10
openmc/deplete/openmc_operator.py
View file

@ -223,8 +223,13 @@ class OpenMCOperator(TransportOperator):
if mat.depletable:
burnable_mats.add(str(mat.id))
if mat.volume is None:
raise RuntimeError("Volume not specified for depletable "
"material with ID={}.".format(mat.id))
if mat.name is None:
msg = ("Volume not specified for depletable material "
f"with ID={mat.id}.")
else:
msg = ("Volume not specified for depletable material "
f"with ID={mat.id} Name={mat.name}.")
raise RuntimeError(msg)
volume[str(mat.id)] = mat.volume
self.heavy_metal += mat.fissionable_mass
@ -242,7 +247,6 @@ class OpenMCOperator(TransportOperator):
for nuc in model_nuclides:
if nuc not in nuclides:
nuclides.append(nuc)
return burnable_mats, volume, nuclides
def _load_previous_results(self):

7
openmc/deplete/pool.py
View file

@ -15,7 +15,7 @@ USE_MULTIPROCESSING = True
NUM_PROCESSES = None
def deplete(func, chain, x, rates, dt, matrix_func=None):
def deplete(func, chain, x, rates, dt, matrix_func=None, *matrix_args):
"""Deplete materials using given reaction rates for a specified time
Parameters
@ -37,6 +37,8 @@ def deplete(func, chain, x, rates, dt, matrix_func=None):
``fission_yields = {parent: {product: yield_frac}}``
Expected to return the depletion matrix required by
``func``
matrix_args : Any, optional
Additional arguments passed to matrix_func
Returns
-------
@ -57,7 +59,8 @@ def deplete(func, chain, x, rates, dt, matrix_func=None):
if matrix_func is None:
matrices = map(chain.form_matrix, rates, fission_yields)
else:
matrices = map(matrix_func, repeat(chain), rates, fission_yields)
matrices = map(matrix_func, repeat(chain), rates, fission_yields,
*matrix_args)
inputs = zip(matrices, x, repeat(dt))

8
openmc/element.py
View file

@ -4,7 +4,7 @@ from xml.etree import ElementTree as ET
import openmc.checkvalue as cv
import openmc
from openmc.data import NATURAL_ABUNDANCE, atomic_mass, \
from openmc.data import NATURAL_ABUNDANCE, atomic_mass, zam, \
isotopes as natural_isotopes
@ -147,8 +147,8 @@ class Element(str):
# and sort to avoid different ordering between Python 2 and 3.
mutual_nuclides = natural_nuclides.intersection(library_nuclides)
absent_nuclides = natural_nuclides.difference(mutual_nuclides)
mutual_nuclides = sorted(list(mutual_nuclides))
absent_nuclides = sorted(list(absent_nuclides))
mutual_nuclides = sorted(mutual_nuclides, key=zam)
absent_nuclides = sorted(absent_nuclides, key=zam)
# If all naturally occurring isotopes are present in the library,
# add them based on their abundance
@ -195,7 +195,7 @@ class Element(str):
# If a cross_section library is not present, expand the element into
# its natural nuclides
else:
for nuclide in natural_nuclides:
for nuclide in sorted(natural_nuclides, key=zam):
abundances[nuclide] = NATURAL_ABUNDANCE[nuclide]
# Modify mole fractions if enrichment provided

15
openmc/executor.py
View file

@ -1,5 +1,6 @@
from collections.abc import Iterable
from numbers import Integral
import os
import subprocess
import openmc
@ -23,7 +24,7 @@ def _process_CLI_arguments(volume=False, geometry_debug=False, particles=None,
Number of particles to simulate per generation.
plot : bool, optional
Run in plotting mode. Defaults to False.
restart_file : str, optional
restart_file : str or PathLike
Path to restart file to use
threads : int, optional
Number of OpenMP threads. If OpenMC is compiled with OpenMP threading
@ -42,7 +43,7 @@ def _process_CLI_arguments(volume=False, geometry_debug=False, particles=None,
mpi_args : list of str, optional
MPI execute command and any additional MPI arguments to pass,
e.g., ['mpiexec', '-n', '8'].
path_input : str or Pathlike
path_input : str or PathLike
Path to a single XML file or a directory containing XML files for the
OpenMC executable to read.
@ -73,8 +74,8 @@ def _process_CLI_arguments(volume=False, geometry_debug=False, particles=None,
if event_based:
args.append('-e')
if isinstance(restart_file, str):
args += ['-r', restart_file]
if isinstance(restart_file, (str, os.PathLike)):
args += ['-r', str(restart_file)]
if tracks:
args.append('-t')
@ -230,7 +231,7 @@ def calculate_volumes(threads=None, output=True, cwd='.',
cwd : str, optional
Path to working directory to run in. Defaults to the current working
directory.
path_input : str or Pathlike
path_input : str or PathLike
Path to a single XML file or a directory containing XML files for the
OpenMC executable to read.
@ -270,7 +271,7 @@ def run(particles=None, threads=None, geometry_debug=False,
:envvar:`OMP_NUM_THREADS` environment variable).
geometry_debug : bool, optional
Turn on geometry debugging during simulation. Defaults to False.
restart_file : str, optional
restart_file : str or PathLike
Path to restart file to use
tracks : bool, optional
Enables the writing of particles tracks. The number of particle tracks
@ -291,7 +292,7 @@ def run(particles=None, threads=None, geometry_debug=False,
.. versionadded:: 0.12
path_input : str or Pathlike
path_input : str or PathLike
Path to a single XML file or a directory containing XML files for the
OpenMC executable to read.

54
openmc/filter.py
View file

@ -102,6 +102,8 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
Unique identifier for the filter
num_bins : Integral
The number of filter bins
shape : tuple
The shape of the filter
"""
@ -205,6 +207,10 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
def num_bins(self):
return len(self.bins)
@property
def shape(self):
return (self.num_bins,)
def check_bins(self, bins):
"""Make sure given bins are valid for this filter.
@ -252,6 +258,8 @@ class Filter(IDManagerMixin, metaclass=FilterMeta):
"""
filter_type = elem.get('type')
if filter_type is None:
filter_type = elem.find('type').text
# If the filter type matches this class's short_name, then
# there is no overridden from_xml_element method
@ -756,7 +764,7 @@ class ParticleFilter(Filter):
class MeshFilter(Filter):
"""Bins tally event locations onto a regular, rectangular mesh.
"""Bins tally event locations by mesh elements.
Parameters
----------
@ -839,6 +847,12 @@ class MeshFilter(Filter):
else:
self.bins = list(mesh.indices)
@property
def shape(self):
if isinstance(self, MeshSurfaceFilter):
return (self.num_bins,)
return self.mesh.dimension
@property
def translation(self):
return self._translation
@ -947,7 +961,7 @@ class MeshFilter(Filter):
class MeshSurfaceFilter(MeshFilter):
"""Filter events by surface crossings on a regular, rectangular mesh.
"""Filter events by surface crossings on a mesh.
Parameters
----------
@ -958,8 +972,6 @@ class MeshSurfaceFilter(MeshFilter):
Attributes
----------
bins : Integral
The mesh ID
mesh : openmc.MeshBase
The mesh object that events will be tallied onto
translation : Iterable of float
@ -968,10 +980,8 @@ class MeshSurfaceFilter(MeshFilter):
id : int
Unique identifier for the filter
bins : list of tuple
A list of mesh indices / surfaces for each filter bin, e.g. [(1, 1,
'x-min out'), (1, 1, 'x-min in'), ...]
num_bins : Integral
The number of filter bins
@ -1332,6 +1342,36 @@ class EnergyFilter(RealFilter):
cv.check_greater_than('filter value', v0, 0., equality=True)
cv.check_greater_than('filter value', v1, 0., equality=True)
def get_tabular(self, values, **kwargs):
"""Create a tabulated distribution based on tally results with an energy filter
This method provides an easy way to create a distribution in energy
(e.g., a source spectrum) based on tally results that were obtained from
using an :class:`~openmc.EnergyFilter`.
Parameters
----------
values : iterable of float
Array of numeric values, typically from a tally result
**kwargs
Keyword arguments passed to :class:`openmc.stats.Tabular`
Returns
-------
openmc.stats.Tabular
Tabular distribution with histogram interpolation
"""
probabilities = np.array(values, dtype=float)
probabilities /= probabilities.sum()
# Determine probability per eV, adding extra 0 at the end since it is a histogram
probability_per_ev = probabilities / np.diff(self.values)
probability_per_ev = np.append(probability_per_ev, 0.0)
kwargs.setdefault('interpolation', 'histogram')
return openmc.stats.Tabular(self.values, probability_per_ev, **kwargs)
@property
def lethargy_bin_width(self):
"""Calculates the base 10 log width of energy bins which is useful when
@ -1703,7 +1743,7 @@ class DistribcellFilter(Filter):
# Concatenate with DataFrame of distribcell instance IDs
if level_df is not None:
level_df = level_df.dropna(axis=1, how='all')
level_df = level_df.astype(np.int)
level_df = level_df.astype(int)
df = pd.concat([level_df, df], axis=1)
return df

2
openmc/geometry.py
View file

@ -278,7 +278,7 @@ class Geometry:
"""
# Using str and os.Pathlike here to avoid error when using just the imported PathLike
# Using str and os.PathLike here to avoid error when using just the imported PathLike
# TypeError: Subscripted generics cannot be used with class and instance checks
check_type('materials', materials, (str, os.PathLike, openmc.Materials))

2
openmc/material.py
View file

@ -143,6 +143,8 @@ class Material(IDManagerMixin):
string += '{: <16}=\t{}'.format('\tDensity', self._density)
string += f' [{self._density_units}]\n'
string += '{: <16}=\t{} [cm^3]\n'.format('\tVolume', self._volume)
string += '{: <16}\n'.format('\tS(a,b) Tables')
if self._ncrystal_cfg:

25
openmc/mesh.py
View file

@ -1,5 +1,6 @@
from abc import ABC, abstractmethod
from collections.abc import Iterable
from collections import OrderedDict
from math import pi
from numbers import Real, Integral
from pathlib import Path
@ -188,7 +189,7 @@ class StructuredMesh(MeshBase):
Returns a numpy.ndarray representing the mesh element centroid
coordinates with a shape equal to (ndim, dim1, ..., dimn). Can be
unpacked along the first dimension with xx, yy, zz = mesh.centroids.
"""
ndim = self.n_dimension
@ -1988,3 +1989,25 @@ class UnstructuredMesh(MeshBase):
length_multiplier = float(get_text(elem, 'length_multiplier', 1.0))
return cls(filename, library, mesh_id, '', length_multiplier)
def _read_meshes(elem):
"""Generate dictionary of meshes from a given XML node
Parameters
----------
elem : xml.etree.ElementTree.Element
XML element
Returns
-------
dict
A dictionary with mesh IDs as keys and openmc.MeshBase
instanaces as values
"""
out = dict()
for mesh_elem in elem.findall('mesh'):
mesh = MeshBase.from_xml_element(mesh_elem)
out[mesh.id] = mesh
return out

2
openmc/mgxs/groups.py
View file

@ -164,7 +164,7 @@ class EnergyGroups:
if groups == 'all':
return np.arange(self.num_groups)
else:
indices = np.zeros(len(groups), dtype=np.int)
indices = np.zeros(len(groups), dtype=int)
for i, group in enumerate(groups):
cv.check_greater_than('group', group, 0)

4
openmc/mgxs/mdgxs.py
View file

@ -586,7 +586,7 @@ class MDGXS(MGXS):
if not isinstance(subdomains, str):
cv.check_iterable_type('subdomains', subdomains, Integral)
elif self.domain_type == 'distribcell':
subdomains = np.arange(self.num_subdomains, dtype=np.int)
subdomains = np.arange(self.num_subdomains, dtype=int)
elif self.domain_type == 'mesh':
xyz = [range(1, x + 1) for x in self.domain.dimension]
subdomains = list(itertools.product(*xyz))
@ -2473,7 +2473,7 @@ class MatrixMDGXS(MDGXS):
if not isinstance(subdomains, str):
cv.check_iterable_type('subdomains', subdomains, Integral)
elif self.domain_type == 'distribcell':
subdomains = np.arange(self.num_subdomains, dtype=np.int)
subdomains = np.arange(self.num_subdomains, dtype=int)
elif self.domain_type == 'mesh':
xyz = [range(1, x + 1) for x in self.domain.dimension]
subdomains = list(itertools.product(*xyz))

14
openmc/mgxs/mgxs.py
View file

@ -918,7 +918,7 @@ class MGXS:
# Sum the atomic number densities for all nuclides
if nuclides == 'sum':
nuclides = self.get_nuclides()
densities = np.zeros(1, dtype=np.float)
densities = np.zeros(1, dtype=float)
for nuclide in nuclides:
densities[0] += self.get_nuclide_density(nuclide)
@ -931,7 +931,7 @@ class MGXS:
# Tabulate the atomic number densities for each specified nuclide
else:
densities = np.zeros(len(nuclides), dtype=np.float)
densities = np.zeros(len(nuclides), dtype=float)
for i, nuclide in enumerate(nuclides):
densities[i] = self.get_nuclide_density(nuclide)
@ -1720,7 +1720,7 @@ class MGXS:
if not isinstance(subdomains, str):
cv.check_iterable_type('subdomains', subdomains, Integral)
elif self.domain_type == 'distribcell':
subdomains = np.arange(self.num_subdomains, dtype=np.int)
subdomains = np.arange(self.num_subdomains, dtype=int)
elif self.domain_type == 'mesh':
subdomains = list(self.domain.indices)
else:
@ -1887,7 +1887,7 @@ class MGXS:
if not isinstance(subdomains, str):
cv.check_iterable_type('subdomains', subdomains, Integral)
elif self.domain_type == 'distribcell':
subdomains = np.arange(self.num_subdomains, dtype=np.int)
subdomains = np.arange(self.num_subdomains, dtype=int)
elif self.domain_type == 'sum(distribcell)':
domain_filter = self.xs_tally.find_filter('sum(distribcell)')
subdomains = domain_filter.bins
@ -1900,7 +1900,7 @@ class MGXS:
if self.by_nuclide:
if nuclides == 'all':
nuclides = self.get_nuclides()
densities = np.zeros(len(nuclides), dtype=np.float)
densities = np.zeros(len(nuclides), dtype=float)
elif nuclides == 'sum':
nuclides = ['sum']
else:
@ -2447,7 +2447,7 @@ class MatrixMGXS(MGXS):
if not isinstance(subdomains, str):
cv.check_iterable_type('subdomains', subdomains, Integral)
elif self.domain_type == 'distribcell':
subdomains = np.arange(self.num_subdomains, dtype=np.int)
subdomains = np.arange(self.num_subdomains, dtype=int)
elif self.domain_type == 'mesh':
subdomains = list(self.domain.indices)
else:
@ -4785,7 +4785,7 @@ class ScatterMatrixXS(MatrixMGXS):
if not isinstance(subdomains, str):
cv.check_iterable_type('subdomains', subdomains, Integral)
elif self.domain_type == 'distribcell':
subdomains = np.arange(self.num_subdomains, dtype=np.int)
subdomains = np.arange(self.num_subdomains, dtype=int)
elif self.domain_type == 'mesh':
subdomains = list(self.domain.indices)
else:

12
openmc/model/model.py
View file

@ -124,10 +124,10 @@ class Model:
@lru_cache(maxsize=None)
def _materials_by_id(self):
"""Dictionary mapping material ID --> material"""
if self.materials is None:
mats = self.geometry.get_all_materials().values()
else:
if self.materials:
mats = self.materials
else:
mats = self.geometry.get_all_materials().values()
return {mat.id: mat for mat in mats}
@property
@ -248,7 +248,7 @@ class Model:
Parameters
----------
path : str or Pathlike
path : str or PathLike
Path to model.xml file
"""
tree = ET.parse(path)
@ -473,7 +473,7 @@ class Model:
Parameters
----------
path : str or Pathlike
path : str or PathLike
Location of the XML file to write (default is 'model.xml'). Can be a
directory or file path.
remove_surfs : bool
@ -620,7 +620,7 @@ class Model:
value set by the :envvar:`OMP_NUM_THREADS` environment variable).
geometry_debug : bool, optional
Turn on geometry debugging during simulation. Defaults to False.
restart_file : str, optional
restart_file : str or PathLike
Path to restart file to use
tracks : bool, optional
Enables the writing of particles tracks. The number of particle

17
openmc/settings.py
View file

@ -11,10 +11,12 @@ from typing import Optional
from xml.etree import ElementTree as ET
import openmc.checkvalue as cv
from openmc.stats.multivariate import MeshSpatial
from . import RegularMesh, Source, VolumeCalculation, WeightWindows
from ._xml import clean_indentation, get_text, reorder_attributes
from openmc.checkvalue import PathLike
from .mesh import _read_meshes
class RunMode(Enum):
@ -990,6 +992,10 @@ class Settings:
def _create_source_subelement(self, root):
for source in self.source:
root.append(source.to_xml_element())
if isinstance(source.space, MeshSpatial):
path = f"./mesh[@id='{source.space.mesh.id}']"
if root.find(path) is None:
root.append(source.space.mesh.to_xml_element())
def _create_volume_calcs_subelement(self, root):
for calc in self.volume_calculations:
@ -1340,9 +1346,11 @@ class Settings:
threshold = float(get_text(elem, 'threshold'))
self.keff_trigger = {'type': trigger, 'threshold': threshold}
def _source_from_xml_element(self, root):
def _source_from_xml_element(self, root, meshes=None):
for elem in root.findall('source'):
self.source.append(Source.from_xml_element(elem))
src = Source.from_xml_element(elem, meshes)
# add newly constructed source object to the list
self.source.append(src)
def _volume_calcs_from_xml_element(self, root):
volume_elems = root.findall("volume_calc")
@ -1721,7 +1729,7 @@ class Settings:
settings._rel_max_lost_particles_from_xml_element(elem)
settings._generations_per_batch_from_xml_element(elem)
settings._keff_trigger_from_xml_element(elem)
settings._source_from_xml_element(elem)
settings._source_from_xml_element(elem, meshes)
settings._volume_calcs_from_xml_element(elem)
settings._output_from_xml_element(elem)
settings._statepoint_from_xml_element(elem)
@ -1781,4 +1789,5 @@ class Settings:
"""
tree = ET.parse(path)
root = tree.getroot()
return cls.from_xml_element(root)
meshes = _read_meshes(root)
return cls.from_xml_element(root, meshes)

7
openmc/source.py
View file

@ -258,13 +258,16 @@ class Source:
return element
@classmethod
def from_xml_element(cls, elem: ET.Element) -> 'openmc.Source':
def from_xml_element(cls, elem: ET.Element, meshes=None) -> 'openmc.Source':
"""Generate source from an XML element
Parameters
----------
elem : xml.etree.ElementTree.Element
XML element
meshes : dict
Dictionary with mesh IDs as keys and openmc.MeshBase instaces as
values
Returns
-------
@ -313,7 +316,7 @@ class Source:
space = elem.find('space')
if space is not None:
source.space = Spatial.from_xml_element(space)
source.space = Spatial.from_xml_element(space, meshes)
angle = elem.find('angle')
if angle is not None:

132
openmc/stats/multivariate.py
View file

@ -9,6 +9,7 @@ import numpy as np
import openmc.checkvalue as cv
from .._xml import get_text
from .univariate import Univariate, Uniform, PowerLaw
from ..mesh import MeshBase
class UnitSphere(ABC):
@ -261,7 +262,7 @@ class Spatial(ABC):
@classmethod
@abstractmethod
def from_xml_element(cls, elem):
def from_xml_element(cls, elem, meshes=None):
distribution = get_text(elem, 'type')
if distribution == 'cartesian':
return CartesianIndependent.from_xml_element(elem)
@ -273,6 +274,8 @@ class Spatial(ABC):
return Box.from_xml_element(elem)
elif distribution == 'point':
return Point.from_xml_element(elem)
elif distribution == 'mesh':
return MeshSpatial.from_xml_element(elem, meshes)
class CartesianIndependent(Spatial):
@ -617,6 +620,133 @@ class CylindricalIndependent(Spatial):
return cls(r, phi, z, origin=origin)
class MeshSpatial(Spatial):
"""Spatial distribution for a mesh.
This distribution specifies a mesh to sample over with source strengths
specified for each mesh element.
.. versionadded:: 0.13.3
Parameters
----------
mesh : openmc.MeshBase
The mesh instance used for sampling
strengths : iterable of float, optional
An iterable of values that represents the weights of each element. If no
source strengths are specified, they will be equal for all mesh
elements.
volume_normalized : bool, optional
Whether or not the strengths will be multiplied by element volumes at
runtime. Default is True.
Attributes
----------
mesh : openmc.MeshBase
The mesh instance used for sampling
strengths : numpy.ndarray or None
An array of source strengths for each mesh element
volume_normalized : bool
Whether or not the strengths will be multiplied by element volumes at
runtime.
"""
def __init__(self, mesh, strengths=None, volume_normalized=True):
self.mesh = mesh
self.strengths = strengths
self.volume_normalized = volume_normalized
@property
def mesh(self):
return self._mesh
@mesh.setter
def mesh(self, mesh):
if mesh is not None:
cv.check_type('mesh instance', mesh, MeshBase)
self._mesh = mesh
@property
def volume_normalized(self):
return self._volume_normalized
@volume_normalized.setter
def volume_normalized(self, volume_normalized):
cv.check_type('Multiply strengths by element volumes', volume_normalized, bool)
self._volume_normalized = volume_normalized
@property
def strengths(self):
return self._strengths
@strengths.setter
def strengths(self, given_strengths):
if given_strengths is not None:
cv.check_type('strengths array passed in', given_strengths, Iterable, Real)
self._strengths = np.asarray(given_strengths, dtype=float).flatten()
else:
self._strengths = None
@property
def num_strength_bins(self):
if self.strengths is None:
raise ValueError('Strengths are not set')
return self.strengths.size
def to_xml_element(self):
"""Return XML representation of the spatial distribution
Returns
-------
element : xml.etree.ElementTree.Element
XML element containing spatial distribution data
"""
element = ET.Element('space')
element.set('type', 'mesh')
element.set("mesh_id", str(self.mesh.id))
element.set("volume_normalized", str(self.volume_normalized))
if self.strengths is not None:
subelement = ET.SubElement(element, 'strengths')
subelement.text = ' '.join(str(e) for e in self.strengths)
return element
@classmethod
def from_xml_element(cls, elem, meshes):
"""Generate spatial distribution from an XML element
Parameters
----------
elem : xml.etree.ElementTree.Element
XML element
meshes : dict
A dictionary with mesh IDs as keys and openmc.MeshBase instances as
values
Returns
-------
openmc.stats.MeshSpatial
Spatial distribution generated from XML element
"""
mesh_id = int(elem.get('mesh_id'))
# check if this mesh has been read in from another location already
if mesh_id not in meshes:
raise RuntimeError(f'Could not locate mesh with ID "{mesh_id}"')
volume_normalized = elem.get("volume_normalized")
volume_normalized = get_text(elem, 'volume_normalized').lower() == 'true'
strengths = get_text(elem, 'strengths')
if strengths is not None:
strengths = [float(b) for b in get_text(elem, 'strengths').split()]
return cls(meshes[mesh_id], strengths, volume_normalized)
class Box(Spatial):
"""Uniform distribution of coordinates in a rectangular cuboid.

11
openmc/stats/univariate.py
View file

@ -857,7 +857,6 @@ class Tabular(Univariate):
'or linear-linear interpolation.')
if self.interpolation == 'linear-linear':
mean = 0.0
self.normalize()
for i in range(1, len(self.x)):
y_min = self.p[i-1]
y_max = self.p[i]
@ -872,9 +871,13 @@ class Tabular(Univariate):
mean += exp_val
elif self.interpolation == 'histogram':
mean = 0.5 * (self.x[:-1] + self.x[1:])
mean *= np.diff(self.cdf())
mean = sum(mean)
x_l = self.x[:-1]
x_r = self.x[1:]
p_l = self.p[:-1]
mean = (0.5 * (x_l + x_r) * (x_r - x_l) * p_l).sum()
# Normalize for when integral of distribution is not 1
mean /= self.integral()
return mean

41
openmc/tallies.py
View file

@ -1405,7 +1405,7 @@ class Tally(IDManagerMixin):
return df
def get_reshaped_data(self, value='mean'):
def get_reshaped_data(self, value='mean', expand_dims=False):
"""Returns an array of tally data with one dimension per filter.
The tally data in OpenMC is stored as a 3D array with the dimensions
@ -1417,17 +1417,24 @@ class Tally(IDManagerMixin):
This builds and returns a reshaped version of the tally data array with
unique dimensions corresponding to each tally filter. For example,
suppose this tally has arrays of data with shape (8,5,5) corresponding
to two filters (2 and 4 bins, respectively), five nuclides and five
suppose this tally has arrays of data with shape (30,5,5) corresponding
to two filters (2 and 15 bins, respectively), five nuclides and five
scores. This method will return a version of the data array with the
with a new shape of (2,4,5,5) such that the first two dimensions
correspond directly to the two filters with two and four bins.
with a new shape of (2,15,5,5) such that the first two dimensions
correspond directly to the two filters with two and fifteen bins. If
expand_dims is True and our filter above with 15 bins is an instance of
:class:`openmc.MeshFilter` with a shape of (3,5,1). The resulting tally
data array will have a new shape of (2,3,5,1,5,5).
Parameters
----------
value : str
A string for the type of value to return - 'mean' (default),
'std_dev', 'rel_err', 'sum', or 'sum_sq' are accepted
expand_dims : bool, optional
Whether or not to expand the dimensions of filters with multiple
dimensions. This will result in more than one dimension per filter
for the returned data array.
Returns
-------
@ -1439,12 +1446,32 @@ class Tally(IDManagerMixin):
# Get the 3D array of data in filters, nuclides and scores
data = self.get_values(value=value)
# Build a new array shape with one dimension per filter
new_shape = tuple(f.num_bins for f in self.filters)
# Build a new array shape with one dimension per filter or expand
# multidimensional filters if desired
new_shape = tuple()
idx0 = None
for i, f in enumerate(self.filters):
if expand_dims:
# Mesh filter indices are backwards so we need to flip them
if isinstance(f, openmc.MeshFilter):
fshape = f.shape[::-1]
new_shape += fshape
idx0, idx1 = i, i + len(fshape) - 1
else:
new_shape += f.shape
else:
new_shape += (np.prod(f.shape),)
new_shape += (self.num_nuclides, self.num_scores)
# Reshape the data with one dimension for each filter
data = np.reshape(data, new_shape)
# If we had a MeshFilter we should swap the axes to have the same shape
# for the data and the filter
if idx0 is not None:
data = np.swapaxes(data, idx0, idx1)
return data
def hybrid_product(self, other, binary_op, filter_product=None,

64
openmc/universe.py
View file

@ -91,6 +91,23 @@ class UniverseBase(ABC, IDManagerMixin):
else:
raise ValueError('No volume information found for this universe.')
def get_all_universes(self):
"""Return all universes that are contained within this one.
Returns
-------
universes : collections.OrderedDict
Dictionary whose keys are universe IDs and values are
:class:`Universe` instances
"""
# Append all Universes within each Cell to the dictionary
universes = OrderedDict()
for cell in self.get_all_cells().values():
universes.update(cell.get_all_universes())
return universes
@abstractmethod
def create_xml_subelement(self, xml_element, memo=None):
"""Add the universe xml representation to an incoming xml element
@ -111,6 +128,13 @@ class UniverseBase(ABC, IDManagerMixin):
"""
@abstractmethod
def _partial_deepcopy(self):
"""Deepcopy all parameters of an openmc.UniverseBase object except its cells.
This should only be used from the openmc.UniverseBase.clone() context.
"""
def clone(self, clone_materials=True, clone_regions=True, memo=None):
"""Create a copy of this universe with a new unique ID, and clones
all cells within this universe.
@ -138,8 +162,7 @@ class UniverseBase(ABC, IDManagerMixin):
# If no memoize'd clone exists, instantiate one
if self not in memo:
clone = deepcopy(self)
clone.id = None
clone = self._partial_deepcopy()
# Clone all cells for the universe clone
clone._cells = OrderedDict()
@ -532,23 +555,6 @@ class Universe(UniverseBase):
return materials
def get_all_universes(self):
"""Return all universes that are contained within this one.
Returns
-------
universes : collections.OrderedDict
Dictionary whose keys are universe IDs and values are
:class:`Universe` instances
"""
# Append all Universes within each Cell to the dictionary
universes = OrderedDict()
for cell in self.get_all_cells().values():
universes.update(cell.get_all_universes())
return universes
def create_xml_subelement(self, xml_element, memo=None):
# Iterate over all Cells
for cell in self._cells.values():
@ -611,6 +617,15 @@ class Universe(UniverseBase):
if not instances_only:
cell._paths.append(cell_path)
def _partial_deepcopy(self):
"""Clone all of the openmc.Universe object's attributes except for its cells,
as they are copied within the clone function. This should only to be
used within the openmc.UniverseBase.clone() context.
"""
clone = openmc.Universe(name=self.name)
clone.volume = self.volume
return clone
class DAGMCUniverse(UniverseBase):
"""A reference to a DAGMC file to be used in the model.
@ -947,3 +962,14 @@ class DAGMCUniverse(UniverseBase):
out.auto_mat_ids = bool(elem.get('auto_mat_ids'))
return out
def _partial_deepcopy(self):
"""Clone all of the openmc.DAGMCUniverse object's attributes except for
its cells, as they are copied within the clone function. This should
only to be used within the openmc.UniverseBase.clone() context.
"""
clone = openmc.DAGMCUniverse(name=self.name, filename=self.filename)
clone.volume = self.volume
clone.auto_geom_ids = self.auto_geom_ids
clone.auto_mat_ids = self.auto_mat_ids
return clone

2
pyproject.toml
View file

@ -1,2 +1,2 @@
[build-system]
requires = ["setuptools", "wheel", "numpy<1.22", "cython"]
requires = ["setuptools", "wheel", "numpy", "cython"]

6
src/dagmc.cpp
View file

@ -182,11 +182,11 @@ void DAGUniverse::init_geometry()
model::cell_map[c->id_] = model::cells.size();
} else {
warning(fmt::format("DAGMC Cell IDs: {}", dagmc_ids_for_dim(3)));
fatal_error(fmt::format("Cell ID {} exists in both DAGMC Universe {} "
"and the CSG geometry. Setting auto_geom_ids "
fatal_error(fmt::format("DAGMC Universe {} contains a cell with ID {}, which "
"already exists elsewhere in the geometry. Setting auto_geom_ids "
"to True when initiating the DAGMC Universe may "
"resolve this issue",
c->id_, this->id_));
this->id_, c->id_));
}
// --- Materials ---

83
src/distribution_spatial.cpp
View file

@ -1,7 +1,9 @@
#include "openmc/distribution_spatial.h"
#include "openmc/error.h"
#include "openmc/mesh.h"
#include "openmc/random_lcg.h"
#include "openmc/search.h"
#include "openmc/xml_interface.h"
namespace openmc {
@ -137,7 +139,8 @@ SphericalIndependent::SphericalIndependent(pugi::xml_node node)
pugi::xml_node node_dist = node.child("cos_theta");
cos_theta_ = distribution_from_xml(node_dist);
} else {
// If no distribution was specified, default to a single point at cos_theta=0
// If no distribution was specified, default to a single point at
// cos_theta=0
double x[] {0.0};
double p[] {1.0};
cos_theta_ = make_unique<Discrete>(x, p, 1);
@ -180,6 +183,84 @@ Position SphericalIndependent::sample(uint64_t* seed) const
return {x, y, z};
}
//==============================================================================
// MeshSpatial implementation
//==============================================================================
MeshSpatial::MeshSpatial(pugi::xml_node node)
{
// No in-tet distributions implemented, could include distributions for the
// barycentric coords Read in unstructured mesh from mesh_id value
int32_t mesh_id = std::stoi(get_node_value(node, "mesh_id"));
// Get pointer to spatial distribution
mesh_idx_ = model::mesh_map.at(mesh_id);
auto mesh_ptr =
dynamic_cast<UnstructuredMesh*>(model::meshes.at(mesh_idx_).get());
if (!mesh_ptr) {
fatal_error("Only unstructured mesh is supported for source sampling.");
}
// ensure that the unstructured mesh contains only linear tets
for (int bin = 0; bin < mesh_ptr->n_bins(); bin++) {
if (mesh_ptr->element_type(bin) != ElementType::LINEAR_TET) {
fatal_error(
"Mesh specified for source must contain only linear tetrahedra.");
}
}
int32_t n_bins = this->n_sources();
std::vector<double> strengths(n_bins, 0.0);
mesh_CDF_.resize(n_bins + 1);
mesh_CDF_[0] = {0.0};
total_strength_ = 0.0;
// Create cdfs for sampling for an element over a mesh
// Volume scheme is weighted by the volume of each tet
// File scheme is weighted by an array given in the xml file
mesh_strengths_ = std::vector<double>(n_bins, 1.0);
if (check_for_node(node, "strengths")) {
strengths = get_node_array<double>(node, "strengths");
if (strengths.size() != n_bins) {
fatal_error(
fmt::format("Number of entries in the source strengths array {} does "
"not match the number of entities in mesh {} ({}).",
strengths.size(), mesh_id, n_bins));
}
mesh_strengths_ = std::move(strengths);
}
if (get_node_value_bool(node, "volume_normalized")) {
for (int i = 0; i < n_bins; i++) {
mesh_strengths_[i] *= mesh()->volume(i);
}
}
total_strength_ =
std::accumulate(mesh_strengths_.begin(), mesh_strengths_.end(), 0.0);
for (int i = 0; i < n_bins; i++) {
mesh_CDF_[i + 1] = mesh_CDF_[i] + mesh_strengths_[i] / total_strength_;
}
if (fabs(mesh_CDF_.back() - 1.0) > FP_COINCIDENT) {
fatal_error(
fmt::format("Mesh sampling CDF is incorrectly formed. Final value is: {}",
mesh_CDF_.back()));
}
mesh_CDF_.back() = 1.0;
}
Position MeshSpatial::sample(uint64_t* seed) const
{
// Create random variable for sampling element from mesh
double eta = prn(seed);
// Sample over the CDF defined in initialization above
int32_t elem_idx = lower_bound_index(mesh_CDF_.begin(), mesh_CDF_.end(), eta);
return mesh()->sample(seed, elem_idx);
}
//==============================================================================
// SpatialBox implementation
//==============================================================================

1
src/initialize.cpp
View file

@ -410,7 +410,6 @@ void read_separate_xml_files()
// Finalize cross sections having assigned temperatures
finalize_cross_sections();
read_tallies_xml();
// Initialize distribcell_filters

141
src/mesh.cpp
View file

@ -195,6 +195,36 @@ UnstructuredMesh::UnstructuredMesh(pugi::xml_node node) : Mesh(node)
}
}
Position UnstructuredMesh::sample_tet(
std::array<Position, 4> coords, uint64_t* seed) const
{
// Uniform distribution
double s = prn(seed);
double t = prn(seed);
double u = prn(seed);
// From PyNE implementation of moab tet sampling C. Rocchini & P. Cignoni
// (2000) Generating Random Points in a Tetrahedron, Journal of Graphics
// Tools, 5:4, 9-12, DOI: 10.1080/10867651.2000.10487528
if (s + t > 1) {
s = 1.0 - s;
t = 1.0 - t;
}
if (s + t + u > 1) {
if (t + u > 1) {
double old_t = t;
t = 1.0 - u;
u = 1.0 - s - old_t;
} else if (t + u <= 1) {
double old_s = s;
s = 1.0 - t - u;
u = old_s + t + u - 1;
}
}
return s * (coords[1] - coords[0]) + t * (coords[2] - coords[0]) +
u * (coords[3] - coords[0]) + coords[0];
}
const std::string UnstructuredMesh::mesh_type = "unstructured";
std::string UnstructuredMesh::get_mesh_type() const
@ -236,8 +266,8 @@ void UnstructuredMesh::to_hdf5(hid_t group) const
// write element types and connectivity
vector<double> volumes;
xt::xtensor<int, 2> connectivity ({static_cast<size_t>(this->n_bins()), 8});
xt::xtensor<int, 2> elem_types ({static_cast<size_t>(this->n_bins()), 1});
xt::xtensor<int, 2> connectivity({static_cast<size_t>(this->n_bins()), 8});
xt::xtensor<int, 2> elem_types({static_cast<size_t>(this->n_bins()), 1});
for (int i = 0; i < this->n_bins(); i++) {
auto conn = this->connectivity(i);
@ -245,17 +275,20 @@ void UnstructuredMesh::to_hdf5(hid_t group) const
// write linear tet element
if (conn.size() == 4) {
xt::view(elem_types, i, xt::all()) = static_cast<int>(ElementType::LINEAR_TET);
xt::view(connectivity, i, xt::all()) = xt::xarray<int>({conn[0], conn[1], conn[2], conn[3],
-1, -1, -1, -1});
// write linear hex element
xt::view(elem_types, i, xt::all()) =
static_cast<int>(ElementType::LINEAR_TET);
xt::view(connectivity, i, xt::all()) =
xt::xarray<int>({conn[0], conn[1], conn[2], conn[3], -1, -1, -1, -1});
// write linear hex element
} else if (conn.size() == 8) {
xt::view(elem_types, i, xt::all()) = static_cast<int>(ElementType::LINEAR_HEX);
xt::view(connectivity, i, xt::all()) = xt::xarray<int>({conn[0], conn[1], conn[2], conn[3],
conn[4], conn[5], conn[6], conn[7]});
xt::view(elem_types, i, xt::all()) =
static_cast<int>(ElementType::LINEAR_HEX);
xt::view(connectivity, i, xt::all()) = xt::xarray<int>({conn[0], conn[1],
conn[2], conn[3], conn[4], conn[5], conn[6], conn[7]});
} else {
num_elem_skipped++;
xt::view(elem_types, i, xt::all()) = static_cast<int>(ElementType::UNSUPPORTED);
xt::view(elem_types, i, xt::all()) =
static_cast<int>(ElementType::UNSUPPORTED);
xt::view(connectivity, i, xt::all()) = -1;
}
}
@ -283,6 +316,18 @@ void UnstructuredMesh::set_length_multiplier(double length_multiplier)
specified_length_multiplier_ = true;
}
ElementType UnstructuredMesh::element_type(int bin) const
{
auto conn = connectivity(bin);
if (conn.size() == 4)
return ElementType::LINEAR_TET;
else if (conn.size() == 8)
return ElementType::LINEAR_HEX;
else
return ElementType::UNSUPPORTED;
}
StructuredMesh::MeshIndex StructuredMesh::get_indices(
Position r, bool& in_mesh) const
{
@ -327,6 +372,16 @@ StructuredMesh::MeshIndex StructuredMesh::get_indices_from_bin(int bin) const
return ijk;
}
Position StructuredMesh::sample(uint64_t* seed, int32_t bin) const
{
fatal_error("Position sampling on structured meshes is not yet implemented");
}
double StructuredMesh::volume(int bin) const
{
fatal_error("Unable to get volume of structured mesh, not yet implemented");
}
int StructuredMesh::get_bin(Position r) const
{
// Determine indices
@ -1834,7 +1889,6 @@ void MOABMesh::initialize()
fatal_error("Failed to get all vertex handles");
}
// make an entity set for all tetrahedra
// this is used for convenience later in output
rval = mbi_->create_meshset(moab::MESHSET_SET, tetset_);
@ -2064,6 +2118,35 @@ std::string MOABMesh::library() const
return mesh_lib_type;
}
// Sample position within a tet for MOAB type tets
Position MOABMesh::sample(uint64_t* seed, int32_t bin) const
{
moab::EntityHandle tet_ent = get_ent_handle_from_bin(bin);
// Get vertex coordinates for MOAB tet
const moab::EntityHandle* conn1;
int conn1_size;
moab::ErrorCode rval = mbi_->get_connectivity(tet_ent, conn1, conn1_size);
if (rval != moab::MB_SUCCESS || conn1_size != 4) {
fatal_error(fmt::format(
"Failed to get tet connectivity or connectivity size ({}) is invalid.",
conn1_size));
}
moab::CartVect p[4];
rval = mbi_->get_coords(conn1, conn1_size, p[0].array());
if (rval != moab::MB_SUCCESS) {
fatal_error("Failed to get tet coords");
}
std::array<Position, 4> tet_verts;
for (int i = 0; i < 4; i++) {
tet_verts[i] = {p[i][0], p[i][1], p[i][2]};
}
// Samples position within tet using Barycentric stuff
return this->sample_tet(tet_verts, seed);
}
double MOABMesh::tet_volume(moab::EntityHandle tet) const
{
vector<moab::EntityHandle> conn;
@ -2184,10 +2267,12 @@ std::pair<vector<double>, vector<double>> MOABMesh::plot(
return {};
}
int MOABMesh::get_vert_idx_from_handle(moab::EntityHandle vert) const {
int MOABMesh::get_vert_idx_from_handle(moab::EntityHandle vert) const
{
int idx = vert - verts_[0];
if (idx >= n_vertices()) {
fatal_error(fmt::format("Invalid vertex idx {} (# vertices {})", idx, n_vertices()));
fatal_error(
fmt::format("Invalid vertex idx {} (# vertices {})", idx, n_vertices()));
}
return idx;
}
@ -2259,11 +2344,13 @@ Position MOABMesh::centroid(int bin) const
return {centroid[0], centroid[1], centroid[2]};
}
int MOABMesh::n_vertices() const {
int MOABMesh::n_vertices() const
{
return verts_.size();
}
Position MOABMesh::vertex(int id) const {
Position MOABMesh::vertex(int id) const
{
moab::ErrorCode rval;
@ -2278,7 +2365,8 @@ Position MOABMesh::vertex(int id) const {
return {coords[0], coords[1], coords[2]};
}
std::vector<int> MOABMesh::connectivity(int bin) const {
std::vector<int> MOABMesh::connectivity(int bin) const
{
moab::ErrorCode rval;
auto tet = get_ent_handle_from_bin(bin);
@ -2432,14 +2520,15 @@ const std::string LibMesh::mesh_lib_type = "libmesh";
LibMesh::LibMesh(pugi::xml_node node) : UnstructuredMesh(node)
{
// filename_ and length_multiplier_ will already be set by the UnstructuredMesh constructor
// filename_ and length_multiplier_ will already be set by the
// UnstructuredMesh constructor
set_mesh_pointer_from_filename(filename_);
set_length_multiplier(length_multiplier_);
initialize();
}
// create the mesh from a pointer to a libMesh Mesh
LibMesh::LibMesh(libMesh::MeshBase & input_mesh, double length_multiplier)
LibMesh::LibMesh(libMesh::MeshBase& input_mesh, double length_multiplier)
{
m_ = &input_mesh;
set_length_multiplier(length_multiplier);
@ -2516,6 +2605,20 @@ void LibMesh::initialize()
bbox_ = libMesh::MeshTools::create_bounding_box(*m_);
}
// Sample position within a tet for LibMesh type tets
Position LibMesh::sample(uint64_t* seed, int32_t bin) const
{
const auto& elem = get_element_from_bin(bin);
// Get tet vertex coordinates from LibMesh
std::array<Position, 4> tet_verts;
for (int i = 0; i < elem.n_nodes(); i++) {
auto node_ref = elem.node_ref(i);
tet_verts[i] = {node_ref(0), node_ref(1), node_ref(2)};
}
// Samples position within tet using Barycentric coordinates
return this->sample_tet(tet_verts, seed);
}
Position LibMesh::centroid(int bin) const
{
const auto& elem = this->get_element_from_bin(bin);
@ -2697,7 +2800,7 @@ const libMesh::Elem& LibMesh::get_element_from_bin(int bin) const
double LibMesh::volume(int bin) const
{
return m_->elem_ref(bin).volume();
return this->get_element_from_bin(bin).volume();
}
#endif // LIBMESH

25
src/physics.cpp
View file

@ -212,7 +212,7 @@ void create_fission_sites(Particle& p, int i_nuclide, const Reaction& rx)
site.surf_id = 0;
// Sample delayed group and angle/energy for fission reaction
sample_fission_neutron(i_nuclide, rx, p.E(), &site, p.current_seed());
sample_fission_neutron(i_nuclide, rx, &site, p);
// Store fission site in bank
if (use_fission_bank) {
@ -705,17 +705,10 @@ void scatter(Particle& p, int i_nuclide)
// =======================================================================
// INELASTIC SCATTERING
int j = 0;
int n = nuc->index_inelastic_scatter_.size();
int i = 0;
while (prob < cutoff) {
for (int j = 0; j < n && prob < cutoff; ++j) {
i = nuc->index_inelastic_scatter_[j];
++j;
// Check to make sure inelastic scattering reaction sampled
if (i >= nuc->reactions_.size()) {
p.write_restart();
fatal_error("Did not sample any reaction for nuclide " + nuc->name_);
}
// add to cumulative probability
prob += nuc->reactions_[i]->xs(micro);
@ -1031,9 +1024,13 @@ Direction sample_cxs_target_velocity(
return vt * rotate_angle(u, mu, nullptr, seed);
}
void sample_fission_neutron(int i_nuclide, const Reaction& rx, double E_in,
SourceSite* site, uint64_t* seed)
void sample_fission_neutron(
int i_nuclide, const Reaction& rx, SourceSite* site, Particle& p)
{
// Get attributes of particle
double E_in = p.E();
uint64_t* seed = p.current_seed();
// Determine total nu, delayed nu, and delayed neutron fraction
const auto& nuc {data::nuclides[i_nuclide]};
double nu_t = nuc->nu(E_in, Nuclide::EmissionMode::total);
@ -1096,9 +1093,7 @@ void sample_fission_neutron(int i_nuclide, const Reaction& rx, double E_in,
}
// Sample azimuthal angle uniformly in [0, 2*pi) and assign angle
// TODO: account for dependence on incident neutron?
Direction ref(1., 0., 0.);
site->u = rotate_angle(ref, mu, nullptr, seed);
site->u = rotate_angle(p.u(), mu, nullptr, seed);
}
void inelastic_scatter(const Nuclide& nuc, const Reaction& rx, Particle& p)

6
src/settings.cpp
View file

@ -281,6 +281,9 @@ void read_settings_xml(pugi::xml_node root)
}
}
// Check for user meshes and allocate
read_meshes(root);
// Look for deprecated cross_sections.xml file in settings.xml
if (check_for_node(root, "cross_sections")) {
warning(
@ -566,9 +569,6 @@ void read_settings_xml(pugi::xml_node root)
}
}
// Read meshes
read_meshes(root);
// Shannon Entropy mesh
if (check_for_node(root, "entropy_mesh")) {
int temp = std::stoi(get_node_value(root, "entropy_mesh"));

2
src/simulation.cpp
View file

@ -236,7 +236,7 @@ int openmc_next_batch(int* status)
// Check simulation ending criteria
if (status) {
if (simulation::current_batch == settings::n_max_batches) {
if (simulation::current_batch >= settings::n_max_batches) {
*status = STATUS_EXIT_MAX_BATCH;
} else if (simulation::satisfy_triggers) {
*status = STATUS_EXIT_ON_TRIGGER;

2
src/source.cpp
View file

@ -94,6 +94,8 @@ IndependentSource::IndependentSource(pugi::xml_node node)
space_ = UPtrSpace {new CylindricalIndependent(node_space)};
} else if (type == "spherical") {
space_ = UPtrSpace {new SphericalIndependent(node_space)};
} else if (type == "mesh") {
space_ = UPtrSpace {new MeshSpatial(node_space)};
} else if (type == "box") {
space_ = UPtrSpace {new SpatialBox(node_space)};
} else if (type == "fission") {

8
src/state_point.cpp
View file

@ -403,9 +403,11 @@ void load_state_point()
// Read batch number to restart at
read_dataset(file_id, "current_batch", simulation::restart_batch);
if (simulation::restart_batch > settings::n_batches) {
fatal_error("The number batches specified in settings.xml is fewer "
" than the number of batches in the given statepoint file.");
if (simulation::restart_batch >= settings::n_max_batches) {
fatal_error(fmt::format(
"The number of batches specified for simulation ({}) is smaller"
" than the number of batches in the restart statepoint file ({})",
settings::n_max_batches, simulation::restart_batch));
}
// Logical flag for source present in statepoint file

15
src/tallies/filter.cpp
View file

@ -71,21 +71,6 @@ Filter::~Filter()
model::filter_map.erase(id_);
}
template<typename T>
T* Filter::create(int32_t id)
{
static_assert(std::is_base_of<Filter, T>::value,
"Type specified is not derived from openmc::Filter");
// Create filter and add to filters vector
auto filter = make_unique<T>();
auto ptr_out = filter.get();
model::tally_filters.emplace_back(std::move(filter));
// Assign ID
model::tally_filters.back()->set_id(id);
return ptr_out;
}
Filter* Filter::create(pugi::xml_node node)
{
// Copy filter id

2
tests/regression_tests/adj_cell_rotation/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
4.381997E-01 1.286263E-03
4.403987E-01 1.514158E-03

2
tests/regression_tests/asymmetric_lattice/results_true.dat
View file

@ -1 +1 @@
73bae264aaca0988fd2ae207722461d161ddbcf9aef083b99a2efc536b09665bbe839d6cae89b32ebab3089a820a2c35ae63a88d5869f0c91b0d6c2f2e090e55
b0ca1fb0436732188b1a199b3250ca9a33782f8fc379b0f7ff9c582e0c794b0a0470df063cafd0b05e802b26f61eaaf9ff5c0a8a672a933246acf49eed3ebf9f

614
tests/regression_tests/cmfd_feed/results_true.dat
View file

@ -1,117 +1,117 @@
k-combined:
1.159021E+00 8.924006E-03
1.164262E+00 9.207592E-03
tally 1:
1.140162E+01
1.306940E+01
2.093739E+01
4.404780E+01
2.914408E+01
8.521010E+01
3.483677E+01
1.216824E+02
3.778463E+01
1.429632E+02
3.810371E+01
1.455108E+02
3.465248E+01
1.207868E+02
2.862033E+01
8.218833E+01
2.086025E+01
4.365941E+01
1.130798E+01
1.286509E+01
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
tally 2:
2.234393E+01
2.516414E+01
1.555024E+01
1.218205E+01
4.087743E+01
8.401702E+01
2.883717E+01
4.185393E+01
5.635166E+01
1.595225E+02
3.998857E+01
8.040398E+01
6.887126E+01
2.379185E+02
4.903103E+01
1.206174E+02
7.452051E+01
2.785675E+02
5.295380E+01
1.406900E+02
7.495422E+01
2.819070E+02
5.333191E+01
1.427474E+02
6.921815E+01
2.408568E+02
4.928246E+01
1.221076E+02
5.668548E+01
1.612556E+02
4.035856E+01
8.181159E+01
4.259952E+01
9.112630E+01
3.026717E+01
4.600625E+01
2.310563E+01
2.688378E+01
1.615934E+01
1.315528E+01
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
tally 3:
1.496375E+01
1.128154E+01
9.905641E-01
5.125710E-02
2.774937E+01
3.877241E+01
1.786861E+00
1.627655E-01
3.849739E+01
7.453828E+01
2.494135E+00
3.158098E-01
4.724085E+01
1.119901E+02
3.031174E+00
4.653741E-01
5.096719E+01
1.303552E+02
3.254375E+00
5.351020E-01
5.133808E+01
1.322892E+02
3.383595E+00
5.798798E-01
4.756072E+01
1.137527E+02
3.001917E+00
4.558247E-01
3.887437E+01
7.593416E+01
2.517908E+00
3.221926E-01
2.910687E+01
4.255173E+01
1.817765E+00
1.678763E-01
1.557241E+01
1.222026E+01
9.852737E-01
5.002659E-02
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
tally 4:
3.047490E+00
4.661458E-01
3.148231E+00
4.974555E-01
0.000000E+00
0.000000E+00
2.635775E+00
3.524426E-01
5.357229E+00
1.440049E+00
2.805439E+00
3.982239E-01
5.574031E+00
1.561105E+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
5.357229E+00
1.440049E+00
2.635775E+00
3.524426E-01
4.982072E+00
1.251449E+00
7.228146E+00
2.620353E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -152,14 +152,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.228146E+00
2.620353E+00
4.982072E+00
1.251449E+00
7.082265E+00
2.520047E+00
8.736529E+00
3.831244E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -176,14 +176,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.736529E+00
3.831244E+00
7.082265E+00
2.520047E+00
8.474631E+00
3.607043E+00
9.346623E+00
4.390819E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -200,14 +200,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.346623E+00
4.390819E+00
8.474631E+00
3.607043E+00
9.496684E+00
4.522478E+00
9.532822E+00
4.559003E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -224,14 +224,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.532822E+00
4.559003E+00
9.496684E+00
4.522478E+00
9.404949E+00
4.446260E+00
8.550930E+00
3.668401E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -248,14 +248,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.550930E+00
3.668401E+00
9.404949E+00
4.446260E+00
8.785273E+00
3.874792E+00
7.128863E+00
2.554326E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -272,14 +272,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.128863E+00
2.554326E+00
8.785273E+00
3.874792E+00
7.408549E+00
2.755885E+00
5.094992E+00
1.305737E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -296,14 +296,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
5.094992E+00
1.305737E+00
7.408549E+00
2.755885E+00
5.532149E+00
1.537289E+00
2.812344E+00
3.997146E-01
5.018287E+00
1.263077E+00
7.218790E+00
2.612243E+00
5.443494E+00
1.487018E+00
2.732334E+00
3.773047E-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
2.812344E+00
3.997146E-01
5.532149E+00
1.537289E+00
3.063251E+00
4.728672E-01
2.732334E+00
3.773047E-01
5.443494E+00
1.487018E+00
3.044773E+00
4.655756E-01
0.000000E+00
0.000000E+00
0.000000E+00
@ -345,144 +345,144 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
1.496000E+01
1.127586E+01
2.280081E+00
2.675609E-01
2.774503E+01
3.876011E+01
3.908836E+00
7.703029E-01
3.848706E+01
7.449836E+01
5.299924E+00
1.422782E+00
4.723172E+01
1.119459E+02
6.450156E+00
2.105590E+00
5.095931E+01
1.303132E+02
7.050681E+00
2.515092E+00
5.133412E+01
1.322694E+02
6.853429E+00
2.384127E+00
4.754621E+01
1.136848E+02
6.370026E+00
2.058896E+00
3.886829E+01
7.591042E+01
5.266816E+00
1.400495E+00
2.910277E+01
4.253981E+01
4.090844E+00
8.442500E-01
1.556949E+01
1.221526E+01
2.266123E+00
2.641551E-01
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
cmfd indices
1.000000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.161531E+00
1.182724E+00
1.169653E+00
1.164722E+00
1.164583E+00
1.162952E+00
1.167024E+00
1.164509E+00
1.165693E+00
1.170623E+00
1.166618E+00
1.170805E+00
1.170962E+00
1.170964E+00
1.168224E+00
1.169864E+00
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
cmfd entropy
3.206619E+00
3.205815E+00
3.208678E+00
3.210820E+00
3.217023E+00
3.215014E+00
3.214592E+00
3.215913E+00
3.214998E+00
3.213644E+00
3.210755E+00
3.210496E+00
3.212488E+00
3.211553E+00
3.212999E+00
3.214052E+00
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
cmfd balance
4.99833E-03
5.64677E-03
3.62795E-03
3.91962E-03
3.87172E-03
2.48450E-03
3.15554E-03
2.49335E-03
2.31973E-03
2.19156E-03
2.31352E-03
2.03401E-03
1.80242E-03
1.65868E-03
1.47543E-03
1.49706E-03
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
cmfd dominance ratio
5.283E-01
5.289E-01
5.305E-01
5.327E-01
5.377E-01
5.360E-01
5.353E-01
4.983E-01
5.379E-01
5.370E-01
5.359E-01
5.349E-01
5.364E-01
5.347E-01
5.360E-01
5.378E-01
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
5.441E-01
cmfd openmc source comparison
1.291827E-02
1.027137E-02
8.738370E-03
6.854409E-03
4.188357E-03
4.941359E-03
5.139239E-03
4.244784E-03
4.240559E-03
3.375424E-03
3.716858E-03
3.595700E-03
3.626952E-03
3.999302E-03
2.431760E-03
1.673200E-03
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
cmfd source
4.185460E-02
7.636314E-02
1.075536E-01
1.307167E-01
1.400879E-01
1.459944E-01
1.297413E-01
1.084649E-01
7.772031E-02
4.150306E-02
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

2
tests/regression_tests/cmfd_feed/test.py
View file

@ -111,7 +111,7 @@ def test_cmfd_write_matrices():
# Load flux vector from numpy output file
flux_np = np.load('fluxvec.npy')
# Load flux from data file
flux_dat = np.loadtxt("fluxvec.dat", delimiter='\n')
flux_dat = np.loadtxt("fluxvec.dat")
# Compare flux from numpy file, .dat file, and from simulation
assert(np.all(np.isclose(flux_np, cmfd_run._phi)))

536
tests/regression_tests/cmfd_feed_2g/results_true.dat
View file

@ -1,112 +1,112 @@
k-combined:
1.021592E+00 7.184545E-03
1.035567E+00 9.463160E-03
tally 1:
1.158654E+02
1.342707E+03
1.151877E+02
1.327269E+03
1.153781E+02
1.331661E+03
1.151151E+02
1.325578E+03
1.146535E+02
1.315267E+03
1.157458E+02
1.340166E+03
1.140491E+02
1.301364E+03
1.146589E+02
1.315433E+03
tally 2:
4.299142E+01
9.258204E+01
6.324043E+01
2.003732E+02
1.860419E+02
1.731270E+03
1.037502E+02
5.383979E+02
4.229132E+01
8.952923E+01
6.264581E+01
1.965074E+02
1.838340E+02
1.690620E+03
1.029415E+02
5.299801E+02
4.314759E+01
9.337463E+01
6.404361E+01
2.056541E+02
1.836548E+02
1.687065E+03
1.028141E+02
5.287334E+02
4.256836E+01
9.079806E+01
6.336524E+01
2.012627E+02
1.837730E+02
1.689124E+03
1.021852E+02
5.222598E+02
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
tally 3:
5.973628E+01
1.787876E+02
6.034963E+01
1.827718E+02
0.000000E+00
0.000000E+00
1.724004E-02
2.766372E-05
4.379655E+00
9.682433E-01
3.484795E+00
6.104792E-01
1.865665E-02
4.244195E-05
4.170941E+00
8.769372E-01
3.453368E+00
5.989168E-01
0.000000E+00
0.000000E+00
9.874445E+01
4.877157E+02
8.886034E-01
4.009294E-02
5.923584E+01
1.757014E+02
9.743205E+01
4.749420E+02
8.570316E-01
3.807993E-02
6.005903E+01
1.807233E+02
0.000000E+00
0.000000E+00
1.733168E-02
3.950365E-05
4.212697E+00
8.996477E-01
3.503046E+00
6.150657E-01
1.885450E-02
3.653402E-05
4.323863E+00
9.447512E-01
3.465465E+00
6.022861E-01
0.000000E+00
0.000000E+00
9.780995E+01
4.784706E+02
8.648283E-01
3.899383E-02
6.057017E+01
1.839745E+02
9.843481E+01
4.846158E+02
9.048150E-01
4.205551E-02
5.996660E+01
1.802150E+02
0.000000E+00
0.000000E+00
2.056597E-02
3.726744E-05
4.280120E+00
9.288225E-01
3.378205E+00
5.730279E-01
1.221444E-02
2.263445E-05
4.301287E+00
9.309882E-01
3.456076E+00
5.992144E-01
0.000000E+00
0.000000E+00
9.790474E+01
4.794523E+02
9.073765E-01
4.204720E-02
5.990874E+01
1.799224E+02
9.761231E+01
4.765834E+02
8.434644E-01
3.728180E-02
5.961891E+01
1.783106E+02
0.000000E+00
0.000000E+00
1.881508E-02
4.239902E-05
4.206916E+00
8.926965E-01
3.478009E+00
6.067461E-01
1.500709E-02
3.541280E-05
4.155669E+00
8.713442E-01
3.455342E+00
6.006426E-01
0.000000E+00
0.000000E+00
9.715787E+01
4.721453E+02
8.602457E-01
3.786346E-02
9.726798E+01
4.733393E+02
9.202611E-01
4.390503E-02
tally 4:
0.000000E+00
0.000000E+00
@ -116,14 +116,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.735001E+00
3.821211E+00
3.708124E+01
6.880811E+01
8.713175E+00
3.807176E+00
3.703536E+01
6.862245E+01
8.943264E+00
4.008855E+00
3.661063E+01
6.704808E+01
8.945553E+00
4.011707E+00
3.696832E+01
6.835286E+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
8.851322E+00
3.930766E+00
3.716154E+01
6.908449E+01
8.892499E+00
3.970458E+00
3.718644E+01
6.918810E+01
8.844569E+00
3.924591E+00
3.666726E+01
6.726522E+01
8.769637E+00
3.855006E+00
3.654115E+01
6.680777E+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
8.713175E+00
3.807176E+00
3.703536E+01
6.862245E+01
8.735001E+00
3.821211E+00
3.708124E+01
6.880811E+01
8.945553E+00
4.011707E+00
3.696832E+01
6.835286E+01
8.943264E+00
4.008855E+00
3.661063E+01
6.704808E+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
8.915310E+00
3.982710E+00
3.682783E+01
6.786998E+01
8.800405E+00
3.881868E+00
3.692302E+01
6.819716E+01
8.648474E+00
3.752219E+00
3.689442E+01
6.808997E+01
8.757378E+00
3.850408E+00
3.716920E+01
6.909715E+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
8.659918E+00
3.761908E+00
3.709957E+01
6.884298E+01
8.796329E+00
3.881588E+00
3.693599E+01
6.825932E+01
8.892499E+00
3.970458E+00
3.718644E+01
6.918810E+01
8.851322E+00
3.930766E+00
3.716154E+01
6.908449E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -252,14 +252,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.796329E+00
3.881588E+00
3.693599E+01
6.825932E+01
8.659918E+00
3.761908E+00
3.709957E+01
6.884298E+01
8.755250E+00
3.846298E+00
3.660278E+01
6.704349E+01
8.783669E+00
3.870748E+00
3.687358E+01
6.802581E+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
8.800405E+00
3.881868E+00
3.692302E+01
6.819716E+01
8.915310E+00
3.982710E+00
3.682783E+01
6.786998E+01
8.757378E+00
3.850408E+00
3.716920E+01
6.909715E+01
8.648474E+00
3.752219E+00
3.689442E+01
6.808997E+01
0.000000E+00
0.000000E+00
0.000000E+00
@ -301,133 +301,133 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
5.975352E+01
1.788900E+02
1.022213E+02
5.226556E+02
1.378440E+01
9.544964E+00
4.668065E+01
1.090372E+02
5.925317E+01
1.758044E+02
1.013043E+02
5.132587E+02
1.356187E+01
9.210736E+00
4.606346E+01
1.061497E+02
6.059074E+01
1.840993E+02
1.012721E+02
5.130091E+02
1.356441E+01
9.262377E+00
4.634250E+01
1.074283E+02
5.992755E+01
1.800342E+02
1.006299E+02
5.065012E+02
1.370402E+01
9.450980E+00
4.575433E+01
1.047310E+02
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
cmfd indices
2.000000E+00
2.000000E+00
1.000000E+00
2.000000E+00
k cmfd
1.037231E+00
1.035671E+00
1.042384E+00
1.033525E+00
1.031304E+00
1.029654E+00
1.031704E+00
1.032213E+00
1.030500E+00
1.036227E+00
1.034924E+00
1.035753E+00
1.034679E+00
1.035096E+00
1.033818E+00
1.030023E+00
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
cmfd entropy
1.999702E+00
1.999790E+00
1.999713E+00
1.999852E+00
1.999820E+00
1.999667E+00
1.999553E+00
1.999649E+00
1.999398E+00
1.999527E+00
1.999648E+00
1.999607E+00
1.998965E+00
1.999214E+00
1.999348E+00
1.999366E+00
1.999564E+00
1.999453E+00
1.999533E+00
1.999684E+00
1.999714E+00
1.999812E+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
cmfd balance
7.33587E-04
1.00987E-03
8.26985E-04
5.20809E-04
6.47932E-04
9.69990E-04
8.62860E-04
4.92175E-04
5.80764E-04
4.49167E-04
4.05541E-04
4.13811E-04
4.27271E-04
3.64944E-04
3.43522E-04
2.82842E-04
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
cmfd dominance ratio
6.259E-03
6.252E-03
6.292E-03
6.347E-03
6.360E-03
6.403E-03
6.375E-03
6.400E-03
6.374E-03
6.343E-03
6.331E-03
6.312E-03
6.305E-03
6.271E-03
6.267E-03
6.265E-03
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
cmfd openmc source comparison
7.908947E-05
7.452591E-05
9.249409E-05
8.223037E-05
7.355125E-05
8.926808E-05
9.363510E-05
7.628519E-05
9.019193E-05
7.130550E-05
5.947633E-05
5.744157E-05
6.093797E-05
4.505304E-05
4.430670E-05
3.019083E-05
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
cmfd source
2.557606E-01
2.464707E-01
2.518098E-01
2.459589E-01
2.455663E-01
2.553511E-01
2.512257E-01
2.478570E-01
0.000000E+00
0.000000E+00
0.000000E+00

564
tests/regression_tests/cmfd_feed_expanding_window/results_true.dat
View file

@ -1,117 +1,117 @@
k-combined:
1.184725E+00 9.808181E-03
1.167865E+00 7.492213E-03
tally 1:
1.121111E+01
1.261033E+01
2.101271E+01
4.433294E+01
2.782926E+01
7.776546E+01
3.351044E+01
1.125084E+02
3.625691E+01
1.319666E+02
3.741881E+01
1.403776E+02
3.538049E+01
1.255798E+02
3.030311E+01
9.228152E+01
2.188389E+01
4.811272E+01
1.172417E+01
1.379179E+01
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
tally 2:
1.146940E+00
1.315471E+00
8.068187E-01
6.509564E-01
2.070090E+00
4.285274E+00
1.469029E+00
2.158045E+00
2.703224E+00
7.307421E+00
1.895589E+00
3.593259E+00
3.567634E+00
1.272801E+01
2.541493E+00
6.459185E+00
3.937463E+00
1.550361E+01
2.770463E+00
7.675465E+00
3.960472E+00
1.568534E+01
2.792668E+00
7.798997E+00
3.243459E+00
1.052002E+01
2.296673E+00
5.274706E+00
2.794726E+00
7.810492E+00
1.953143E+00
3.814769E+00
2.187302E+00
4.784292E+00
1.544500E+00
2.385481E+00
1.199609E+00
1.439061E+00
8.356062E-01
6.982377E-01
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
tally 3:
7.817522E-01
6.111366E-01
5.930056E-02
3.516556E-03
1.426374E+00
2.034542E+00
8.539281E-02
7.291931E-03
1.815687E+00
3.296718E+00
1.221592E-01
1.492286E-02
2.447191E+00
5.988744E+00
1.624835E-01
2.640090E-02
2.670084E+00
7.129351E+00
1.838317E-01
3.379411E-02
2.683007E+00
7.198528E+00
1.719716E-01
2.957424E-02
2.215446E+00
4.908202E+00
1.707856E-01
2.916773E-02
1.872330E+00
3.505620E+00
1.209731E-01
1.463450E-02
1.484167E+00
2.202752E+00
1.114851E-01
1.242892E-02
8.018653E-01
6.429879E-01
5.692854E-02
3.240858E-03
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
tally 4:
1.404203E-01
1.971786E-02
1.667432E-01
2.780328E-02
0.000000E+00
0.000000E+00
1.383954E-01
1.915329E-02
2.626162E-01
6.896729E-02
1.292567E-01
1.670730E-02
2.813370E-01
7.915052E-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
2.626162E-01
6.896729E-02
1.383954E-01
1.915329E-02
2.300607E-01
5.292793E-02
3.213893E-01
1.032911E-01
2.813370E-01
7.915052E-02
1.292567E-01
1.670730E-02
2.670549E-01
7.131835E-02
4.055324E-01
1.644566E-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
3.213893E-01
1.032911E-01
2.300607E-01
5.292793E-02
3.621797E-01
1.311741E-01
4.326081E-01
1.871498E-01
4.055324E-01
1.644566E-01
2.670549E-01
7.131835E-02
3.848125E-01
1.480807E-01
4.809430E-01
2.313062E-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
4.326081E-01
1.871498E-01
3.621797E-01
1.311741E-01
4.274873E-01
1.827454E-01
4.701391E-01
2.210307E-01
4.809430E-01
2.313062E-01
3.848125E-01
1.480807E-01
4.543918E-01
2.064719E-01
5.106133E-01
2.607260E-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
4.701391E-01
2.210307E-01
4.274873E-01
1.827454E-01
4.867763E-01
2.369512E-01
5.027339E-01
2.527413E-01
5.106133E-01
2.607260E-01
4.543918E-01
2.064719E-01
4.543120E-01
2.063994E-01
4.626328E-01
2.140291E-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
5.027339E-01
2.527413E-01
4.867763E-01
2.369512E-01
4.679231E-01
2.189520E-01
4.504626E-01
2.029166E-01
4.626328E-01
2.140291E-01
4.543120E-01
2.063994E-01
4.827759E-01
2.330726E-01
4.442622E-01
1.973689E-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
4.504626E-01
2.029166E-01
4.679231E-01
2.189520E-01
4.340994E-01
1.884423E-01
3.622741E-01
1.312425E-01
4.442622E-01
1.973689E-01
4.827759E-01
2.330726E-01
4.630420E-01
2.144079E-01
3.886524E-01
1.510507E-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
3.622741E-01
1.312425E-01
4.340994E-01
1.884423E-01
3.743415E-01
1.401316E-01
2.666952E-01
7.112632E-02
3.886524E-01
1.510507E-01
4.630420E-01
2.144079E-01
3.535870E-01
1.250237E-01
2.530312E-01
6.402478E-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
2.666952E-01
7.112632E-02
3.743415E-01
1.401316E-01
2.832774E-01
8.024609E-02
1.469617E-01
2.159775E-02
2.530312E-01
6.402478E-02
3.535870E-01
1.250237E-01
2.465524E-01
6.078808E-02
1.197152E-01
1.433173E-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
1.469617E-01
2.159775E-02
2.832774E-01
8.024609E-02
1.514998E-01
2.295220E-02
1.197152E-01
1.433173E-02
2.465524E-01
6.078808E-02
1.369631E-01
1.875888E-02
0.000000E+00
0.000000E+00
0.000000E+00
@ -345,119 +345,119 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
7.817522E-01
6.111366E-01
1.254009E-01
1.572539E-02
1.426374E+00
2.034542E+00
2.208879E-01
4.879148E-02
1.815687E+00
3.296718E+00
2.598747E-01
6.753484E-02
2.446236E+00
5.984069E+00
3.067269E-01
9.408137E-02
2.670084E+00
7.129351E+00
3.358701E-01
1.128087E-01
2.682078E+00
7.193544E+00
3.021763E-01
9.131050E-02
2.215446E+00
4.908202E+00
3.092066E-01
9.560869E-02
1.871260E+00
3.501614E+00
2.400592E-01
5.762841E-02
1.483097E+00
2.199577E+00
2.197780E-01
4.830237E-02
8.009060E-01
6.414504E-01
1.023121E-01
1.046776E-02
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
cmfd indices
1.000000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.165553E+00
1.179705E+00
1.191818E+00
1.207372E+00
1.203745E+00
1.208055E+00
1.208191E+00
1.201797E+00
1.201945E+00
1.203753E+00
1.209025E+00
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
cmfd entropy
3.217557E+00
3.209881E+00
3.204672E+00
3.212484E+00
3.217253E+00
3.216845E+00
3.219057E+00
3.217057E+00
3.223643E+00
3.230985E+00
3.230377E+00
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
cmfd balance
1.65304E-03
2.29940E-03
1.63416E-03
1.39975E-03
1.91312E-03
1.62824E-03
1.95516E-03
2.02934E-03
1.92846E-03
2.33117E-03
2.29845E-03
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
cmfd dominance ratio
5.465E-01
5.481E-01
5.432E-01
5.459E-01
5.463E-01
5.486E-01
5.515E-01
5.493E-01
5.511E-01
5.518E-01
5.499E-01
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
cmfd openmc source comparison
6.499546E-03
3.419761E-03
4.342514E-03
7.229618E-03
9.943057E-03
1.050086E-02
1.055060E-02
6.562146E-03
7.232860E-03
4.424331E-03
2.531323E-03
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
cmfd source
4.224785E-02
7.504165E-02
1.009909E-01
1.238160E-01
1.301409E-01
1.425954E-01
1.353275E-01
1.134617E-01
8.830470E-02
4.807346E-02
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

708
tests/regression_tests/cmfd_feed_ng/results_true.dat
View file

@ -1,208 +1,208 @@
k-combined:
1.027584E+00 1.502267E-02
1.005987E+00 1.354263E-02
tally 1:
1.148263E+02
1.318910E+03
1.144863E+02
1.311468E+03
1.163124E+02
1.353643E+03
1.149445E+02
1.321759E+03
1.140273E+02
1.301245E+03
1.147962E+02
1.319049E+03
1.151426E+02
1.326442E+03
1.149265E+02
1.321518E+03
tally 2:
3.397796E+01
7.265736E+01
5.019405E+01
1.585764E+02
1.053191E+01
6.978659E+00
8.739144E+00
4.800811E+00
1.368395E+02
1.172003E+03
7.370695E+01
3.398875E+02
3.374845E+01
7.161454E+01
5.011266E+01
1.580982E+02
1.014814E+01
6.486800E+00
8.590537E+00
4.639730E+00
1.379236E+02
1.198395E+03
7.277377E+01
3.313373E+02
3.554441E+01
7.913690E+01
5.224651E+01
1.709692E+02
1.050466E+01
6.961148E+00
8.866162E+00
4.951519E+00
1.388541E+02
1.206000E+03
7.399637E+01
3.423642E+02
3.479281E+01
7.602778E+01
5.139230E+01
1.659298E+02
1.026632E+01
6.621042E+00
8.649433E+00
4.697954E+00
1.402563E+02
1.235504E+03
7.374718E+01
3.400080E+02
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
tally 3:
4.748159E+01
1.419494E+02
4.858880E+01
1.488705E+02
0.000000E+00
0.000000E+00
8.132630E-03
1.326503E-05
8.148667E-03
1.337050E-05
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
3.299481E+00
6.900644E-01
2.429296E+00
3.713869E-01
3.347376E+00
7.045574E-01
2.433484E+00
3.727266E-01
0.000000E+00
0.000000E+00
6.175576E+00
2.403118E+00
6.095478E+00
2.332622E+00
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
7.020357E-02
6.481773E-04
3.097931E-01
6.853044E-03
1.235421E-01
1.205155E-03
3.647699E-01
8.953589E-03
0.000000E+00
0.000000E+00
2.592969E+00
4.215508E-01
2.673965E+00
4.517972E-01
0.000000E+00
0.000000E+00
6.972257E+01
3.041404E+02
5.792796E-01
2.191871E-02
4.745221E+01
1.418371E+02
6.841105E+01
2.929195E+02
5.902473E-01
2.307683E-02
4.792291E+01
1.444397E+02
0.000000E+00
0.000000E+00
1.507569E-02
3.140047E-05
2.183275E-02
8.061011E-05
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
3.307769E+00
6.924370E-01
2.473164E+00
3.840166E-01
3.435826E+00
7.480244E-01
2.450829E+00
3.800327E-01
0.000000E+00
0.000000E+00
5.967063E+00
2.251947E+00
6.331358E+00
2.530492E+00
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
9.143833E-02
8.020544E-04
1.012941E-01
8.217580E-04
2.981274E-01
5.863186E-03
0.000000E+00
0.000000E+00
2.535628E+00
4.048310E-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
0.000000E+00
0.000000E+00
1.525590E-02
3.794082E-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
0.000000E+00
0.000000E+00
6.254897E+00
2.474317E+00
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
1.112542E-01
1.051688E-03
3.234880E-01
7.219562E-03
7.156753E-03
0.000000E+00
0.000000E+00
2.477436E+00
3.882619E-01
2.474142E+00
3.837496E-01
0.000000E+00
0.000000E+00
6.888326E+01
2.968630E+02
5.925099E-01
2.344632E-02
4.946736E+01
1.533087E+02
6.987095E+01
3.053358E+02
5.928782E-01
2.368116E-02
4.885415E+01
1.499856E+02
0.000000E+00
0.000000E+00
1.369119E-02
3.099298E-05
1.262416E-02
2.486286E-05
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
3.513467E+00
7.852189E-01
2.483110E+00
3.901527E-01
3.426826E+00
7.480396E-01
2.487209E+00
3.903882E-01
0.000000E+00
0.000000E+00
6.238898E+00
2.455700E+00
6.127303E+00
2.364605E+00
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
9.032973E-02
6.677512E-04
2.816159E-01
5.349737E-03
9.439007E-02
1.082564E-03
2.963491E-01
5.652952E-03
0.000000E+00
0.000000E+00
2.620828E+00
4.350795E-01
2.620696E+00
4.311792E-01
0.000000E+00
0.000000E+00
6.992910E+01
3.057653E+02
5.890670E-01
2.307978E-02
4.853121E+01
1.480132E+02
0.000000E+00
0.000000E+00
1.719291E-02
4.141727E-05
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
3.490129E+00
7.743548E-01
2.381968E+00
3.564896E-01
0.000000E+00
0.000000E+00
6.151693E+00
2.382656E+00
0.000000E+00
0.000000E+00
0.000000E+00
0.000000E+00
8.653178E-02
5.524601E-04
3.307211E-01
7.362512E-03
0.000000E+00
0.000000E+00
2.566722E+00
4.136929E-01
0.000000E+00
0.000000E+00
6.968935E+01
3.036323E+02
6.295592E-01
2.609911E-02
7.030725E+01
3.091241E+02
5.986966E-01
2.352487E-02
tally 4:
0.000000E+00
0.000000E+00
@ -216,18 +216,18 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
6.910417E+00
3.013908E+00
2.099086E+00
2.794191E-01
2.725309E+01
4.645663E+01
7.076086E+00
3.154776E+00
2.051075E+00
2.671542E-01
2.737348E+01
4.686718E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -240,18 +240,18 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.215131E+00
3.265328E+00
2.066108E+00
2.704238E-01
2.755564E+01
4.753705E+01
7.022836E+00
3.102535E+00
2.076586E+00
2.741254E-01
2.756981E+01
4.756632E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -276,18 +276,18 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.076086E+00
3.154776E+00
2.051075E+00
2.671542E-01
2.737348E+01
4.686718E+01
6.910417E+00
3.013908E+00
2.099086E+00
2.794191E-01
2.725309E+01
4.645663E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -312,18 +312,18 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.008937E+00
3.087084E+00
2.040640E+00
2.622272E-01
2.705295E+01
4.578207E+01
7.038404E+00
3.111878E+00
2.123591E+00
2.840551E-01
2.708214E+01
4.588834E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -360,30 +360,30 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.286308E+00
3.346248E+00
2.108252E+00
2.794781E-01
2.738387E+01
4.689407E+01
7.108444E+00
3.172810E+00
2.111474E+00
2.804633E-01
2.737249E+01
4.687424E+01
7.022836E+00
3.102535E+00
2.076586E+00
2.741254E-01
2.756981E+01
4.756632E+01
7.215131E+00
3.265328E+00
2.066108E+00
2.704238E-01
2.755564E+01
4.753705E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -420,18 +420,18 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.108444E+00
3.172810E+00
2.111474E+00
2.804633E-01
2.737249E+01
4.687424E+01
7.286308E+00
3.346248E+00
2.108252E+00
2.794781E-01
2.738387E+01
4.689407E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -444,18 +444,18 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.038404E+00
3.111878E+00
2.123591E+00
2.840551E-01
2.708214E+01
4.588834E+01
7.008937E+00
3.087084E+00
2.040640E+00
2.622272E-01
2.705295E+01
4.578207E+01
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
0.000000E+00
0.000000E+00
0.000000E+00
@ -493,124 +493,124 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
4.748972E+01
1.419968E+02
8.604872E+00
4.655596E+00
7.261430E+01
3.298767E+02
1.092092E+01
7.540081E+00
3.984923E+00
1.000404E+00
3.294804E+01
6.794642E+01
4.746728E+01
1.419250E+02
8.440227E+00
4.478243E+00
7.167598E+01
3.214310E+02
1.073385E+01
7.257545E+00
3.904158E+00
9.587510E-01
3.253492E+01
6.626202E+01
4.948105E+01
1.533940E+02
8.722008E+00
4.791509E+00
7.283154E+01
3.316829E+02
1.138387E+01
8.162117E+00
4.131397E+00
1.078045E+00
3.254336E+01
6.624925E+01
4.854840E+01
1.481182E+02
8.533661E+00
4.573316E+00
7.258180E+01
3.293419E+02
1.053673E+01
7.002045E+00
3.988151E+00
1.001884E+00
3.284213E+01
6.749116E+01
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
cmfd indices
2.000000E+00
2.000000E+00
1.000000E+00
3.000000E+00
k cmfd
1.026167E+00
1.026753E+00
1.034560E+00
1.028298E+00
1.029032E+00
1.033531E+00
1.034902E+00
1.029837E+00
1.025313E+00
1.019855E+00
1.021235E+00
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
cmfd entropy
1.998818E+00
1.998853E+00
1.999048E+00
1.998864E+00
1.998999E+00
1.998789E+00
1.998670E+00
1.998822E+00
1.998782E+00
1.999027E+00
1.999420E+00
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
cmfd balance
1.00064E-03
6.95941E-04
5.74967E-04
4.34776E-04
4.03288E-04
4.32457E-04
4.49075E-04
3.57342E-04
3.62891E-04
2.86133E-04
2.08678E-04
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
cmfd dominance ratio
3.759E-03
3.706E-03
3.719E-03
3.796E-03
3.724E-03
3.809E-03
3.792E-03
3.782E-03
3.841E-03
3.977E-03
4.018E-03
3.950E-03
3.866E-03
3.868E-03
3.840E-03
3.888E-03
3.867E-03
3.896E-03
3.924E-03
3.885E-03
3.913E-03
cmfd openmc source comparison
8.283222E-05
6.636005E-05
5.320110E-05
4.474530E-05
4.409263E-05
4.914331E-05
4.834447E-05
4.040592E-05
4.173469E-05
3.118350E-05
1.667967E-05
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
cmfd source
2.416781E-01
2.442811E-01
2.566121E-01
2.574288E-01
2.486236E-01
2.531628E-01
2.460219E-01
2.521918E-01
0.000000E+00
0.000000E+00
0.000000E+00

780
tests/regression_tests/cmfd_feed_rectlin/results_true.dat
View file

@ -1,149 +1,149 @@
k-combined:
1.167761E+00 4.293426E-03
1.160561E+00 1.029736E-02
tally 1:
1.202277E+01
1.452746E+01
2.195725E+01
4.835710E+01
2.862021E+01
8.215585E+01
3.453333E+01
1.196497E+02
3.756803E+01
1.414919E+02
3.739045E+01
1.403446E+02
3.361501E+01
1.134271E+02
2.819861E+01
7.968185E+01
2.111919E+01
4.472336E+01
1.129975E+01
1.280982E+01
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
tally 2:
8.743037E+00
3.861220E+00
6.027264E+00
1.836570E+00
3.366159E+01
5.708871E+01
2.367086E+01
2.824484E+01
2.348709E+01
2.777633E+01
1.668756E+01
1.403629E+01
5.609969E+01
1.580739E+02
3.985682E+01
7.985715E+01
3.319543E+01
5.528370E+01
2.358360E+01
2.791829E+01
7.132407E+01
2.550603E+02
5.083603E+01
1.296049E+02
3.801086E+01
7.257141E+01
2.709688E+01
3.686995E+01
3.751307E+01
7.073318E+01
2.660859E+01
3.559134E+01
7.258292E+01
2.644619E+02
5.168044E+01
1.340982E+02
3.304423E+01
5.486256E+01
2.335526E+01
2.742989E+01
5.655005E+01
1.603926E+02
4.014572E+01
8.087797E+01
2.351019E+01
2.776367E+01
1.670083E+01
1.401374E+01
3.451886E+01
5.983149E+01
2.443300E+01
2.997375E+01
8.551177E+00
3.691263E+00
5.916124E+00
1.768556E+00
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
tally 3:
5.799161E+00
1.702117E+00
3.588837E-01
7.127789E-03
2.273477E+01
2.606361E+01
1.586822E+00
1.296956E-01
1.606466E+01
1.300770E+01
1.018209E+00
5.281297E-02
3.840128E+01
7.415483E+01
2.383738E+00
2.877855E-01
2.268388E+01
2.583457E+01
1.485208E+00
1.122747E-01
4.899435E+01
1.204028E+02
3.203505E+00
5.163235E-01
2.610714E+01
3.423244E+01
1.707156E+00
1.476400E-01
2.559242E+01
3.293100E+01
1.761813E+00
1.597786E-01
4.985698E+01
1.248029E+02
3.081386E+00
4.824389E-01
2.245777E+01
2.536963E+01
1.447127E+00
1.065745E-01
3.869628E+01
7.516217E+01
2.545419E+00
3.270790E-01
1.610401E+01
1.303231E+01
1.011897E+00
5.274155E-02
2.353410E+01
2.781055E+01
1.517873E+00
1.184503E-01
5.687356E+00
1.636570E+00
3.728435E-01
7.203797E-03
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
tally 4:
3.060660E+00
4.703581E-01
3.063235E+00
4.714106E-01
0.000000E+00
0.000000E+00
1.451637E+00
1.081522E-01
4.402560E+00
9.746218E-01
1.425705E+00
1.043616E-01
4.355515E+00
9.538346E-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
4.402560E+00
9.746218E-01
1.451637E+00
1.081522E-01
3.903491E+00
7.713768E-01
6.448935E+00
2.089570E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -184,14 +184,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
6.448935E+00
2.089570E+00
3.903491E+00
7.713768E-01
5.075609E+00
1.297182E+00
7.371853E+00
2.729133E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -208,14 +208,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.371853E+00
2.729133E+00
5.075609E+00
1.297182E+00
7.015514E+00
2.477295E+00
8.723726E+00
3.828466E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -232,14 +232,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.723726E+00
3.828466E+00
7.015514E+00
2.477295E+00
7.735344E+00
3.007547E+00
9.106625E+00
4.165807E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -256,14 +256,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.106625E+00
4.165807E+00
7.735344E+00
3.007547E+00
9.026526E+00
4.098261E+00
9.551542E+00
4.586695E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -280,14 +280,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.551542E+00
4.586695E+00
9.026526E+00
4.098261E+00
9.344096E+00
4.384840E+00
9.405215E+00
4.441966E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -304,14 +304,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.405215E+00
4.441966E+00
9.344096E+00
4.384840E+00
9.390313E+00
4.435716E+00
9.011690E+00
4.080913E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -328,14 +328,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.011690E+00
4.080913E+00
9.390313E+00
4.435716E+00
9.140785E+00
4.195868E+00
8.003067E+00
3.218771E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -352,14 +352,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.003067E+00
3.218771E+00
9.140785E+00
4.195868E+00
8.629258E+00
3.736554E+00
7.133986E+00
2.557637E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -376,14 +376,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.133986E+00
2.557637E+00
8.629258E+00
3.736554E+00
7.284136E+00
2.659936E+00
5.069993E+00
1.289638E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -400,14 +400,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
5.069993E+00
1.289638E+00
7.284136E+00
2.659936E+00
6.585377E+00
2.178573E+00
4.109746E+00
8.535283E-01
5.145728E+00
1.329190E+00
7.378538E+00
2.732122E+00
6.660125E+00
2.228506E+00
4.087925E+00
8.435381E-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
4.109746E+00
8.535283E-01
6.585377E+00
2.178573E+00
4.394913E+00
9.694834E-01
1.455260E+00
1.073327E-01
4.087925E+00
8.435381E-01
6.660125E+00
2.228506E+00
4.466295E+00
1.002320E+00
1.468481E+00
1.099604E-01
0.000000E+00
0.000000E+00
0.000000E+00
@ -448,12 +448,12 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
1.455260E+00
1.073327E-01
4.394913E+00
9.694834E-01
3.054512E+00
4.687172E-01
1.468481E+00
1.099604E-01
4.466295E+00
1.002320E+00
3.139355E+00
4.955456E-01
0.000000E+00
0.000000E+00
0.000000E+00
@ -473,164 +473,164 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
5.798163E+00
1.701480E+00
7.719076E-01
3.205800E-02
2.272861E+01
2.604939E+01
3.183925E+00
5.123120E-01
1.606367E+01
1.300597E+01
2.209506E+00
2.514085E-01
3.839444E+01
7.412912E+01
5.235063E+00
1.389014E+00
2.268086E+01
2.582733E+01
3.074902E+00
4.810618E-01
4.898566E+01
1.203589E+02
6.606838E+00
2.201101E+00
2.609836E+01
3.420917E+01
3.518842E+00
6.264238E-01
2.558605E+01
3.291399E+01
3.686659E+00
6.942431E-01
4.984902E+01
1.247644E+02
6.876822E+00
2.400434E+00
2.245394E+01
2.536044E+01
3.098158E+00
4.940204E-01
3.868744E+01
7.512715E+01
5.302748E+00
1.428609E+00
1.610093E+01
1.302770E+01
2.252209E+00
2.578778E-01
2.352951E+01
2.779963E+01
3.249775E+00
5.380883E-01
5.685356E+00
1.635162E+00
7.886630E-01
3.440650E-02
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
cmfd indices
1.400000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.154550E+00
1.172635E+00
1.171962E+00
1.174888E+00
1.182656E+00
1.190779E+00
1.200964E+00
1.196775E+00
1.190049E+00
1.181514E+00
1.180749E+00
1.179370E+00
1.177279E+00
1.178924E+00
1.177106E+00
1.179987E+00
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
cmfd entropy
3.598911E+00
3.600560E+00
3.599978E+00
3.601027E+00
3.599502E+00
3.598849E+00
3.601916E+00
3.605728E+00
3.607212E+00
3.612277E+00
3.615627E+00
3.618446E+00
3.615292E+00
3.612951E+00
3.610620E+00
3.607388E+00
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
cmfd balance
6.80696E-03
7.03786E-03
5.33837E-03
5.39054E-03
4.82209E-03
4.46014E-03
4.48076E-03
3.31344E-03
2.71476E-03
2.03403E-03
1.68070E-03
1.38975E-03
1.30457E-03
1.29678E-03
1.34009E-03
1.43023E-03
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
cmfd dominance ratio
5.913E-01
5.946E-01
5.961E-01
5.995E-01
6.024E-01
6.050E-01
6.056E-01
6.062E-01
6.064E-01
6.087E-01
6.117E-01
6.120E-01
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
6.074E-01
6.052E-01
6.030E-01
6.073E-01
6.080E-01
6.080E-01
6.090E-01
6.092E-01
6.094E-01
cmfd openmc source comparison
1.274461E-02
9.191627E-03
7.371466E-03
4.977614E-03
4.481864E-03
3.396798E-03
2.167863E-03
4.137274E-03
4.692749E-03
2.955754E-03
2.656269E-03
2.241441E-03
4.127496E-03
3.040657E-03
3.925292E-03
3.183157E-03
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
cmfd source
1.525739E-02
6.776716E-02
4.352345E-02
1.020209E-01
6.379967E-02
1.378464E-01
7.334653E-02
7.562170E-02
1.318340E-01
6.145426E-02
1.073314E-01
4.229800E-02
6.258388E-02
1.531527E-02
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

564
tests/regression_tests/cmfd_feed_ref_d/results_true.dat
View file

@ -1,117 +1,117 @@
k-combined:
1.184724E+00 9.807415E-03
1.167869E+00 7.492916E-03
tally 1:
1.121178E+01
1.261180E+01
2.101384E+01
4.433764E+01
2.783041E+01
7.777181E+01
3.351124E+01
1.125137E+02
3.625716E+01
1.319682E+02
3.741849E+01
1.403752E+02
3.537964E+01
1.255737E+02
3.030185E+01
9.227364E+01
2.188275E+01
4.810760E+01
1.172353E+01
1.379028E+01
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
tally 2:
1.146903E+00
1.315387E+00
8.067939E-01
6.509164E-01
2.070041E+00
4.285068E+00
1.468994E+00
2.157944E+00
2.703198E+00
7.307278E+00
1.895572E+00
3.593192E+00
3.567627E+00
1.272796E+01
2.541486E+00
6.459152E+00
3.937479E+00
1.550374E+01
2.770473E+00
7.675520E+00
3.960493E+00
1.568551E+01
2.792683E+00
7.799079E+00
3.243496E+00
1.052027E+01
2.296698E+00
5.274821E+00
2.794771E+00
7.810744E+00
1.953175E+00
3.814893E+00
2.187333E+00
4.784426E+00
1.544523E+00
2.385551E+00
1.199628E+00
1.439107E+00
8.356207E-01
6.982620E-01
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
tally 3:
7.817283E-01
6.110991E-01
5.930048E-02
3.516547E-03
1.426340E+00
2.034446E+00
8.539269E-02
7.291911E-03
1.815669E+00
3.296655E+00
1.221590E-01
1.492282E-02
2.447185E+00
5.988716E+00
1.624833E-01
2.640082E-02
2.670094E+00
7.129404E+00
1.838315E-01
3.379401E-02
2.683021E+00
7.198600E+00
1.719714E-01
2.957416E-02
2.215470E+00
4.908307E+00
1.707854E-01
2.916764E-02
1.872360E+00
3.505733E+00
1.209730E-01
1.463446E-02
1.484189E+00
2.202817E+00
1.114849E-01
1.242888E-02
8.018794E-01
6.430105E-01
5.692846E-02
3.240849E-03
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
tally 4:
1.404164E-01
1.971677E-02
1.667426E-01
2.780308E-02
0.000000E+00
0.000000E+00
1.383903E-01
1.915186E-02
2.626104E-01
6.896424E-02
1.292556E-01
1.670700E-02
2.813401E-01
7.915227E-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
2.626104E-01
6.896424E-02
1.383903E-01
1.915186E-02
2.300555E-01
5.292554E-02
3.213857E-01
1.032888E-01
2.813401E-01
7.915227E-02
1.292556E-01
1.670700E-02
2.670582E-01
7.132006E-02
4.055365E-01
1.644599E-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
3.213857E-01
1.032888E-01
2.300555E-01
5.292554E-02
3.621759E-01
1.311714E-01
4.326073E-01
1.871490E-01
4.055365E-01
1.644599E-01
2.670582E-01
7.132006E-02
3.848164E-01
1.480837E-01
4.809472E-01
2.313102E-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
4.326073E-01
1.871490E-01
3.621759E-01
1.311714E-01
4.274871E-01
1.827452E-01
4.701411E-01
2.210326E-01
4.809472E-01
2.313102E-01
3.848164E-01
1.480837E-01
4.543959E-01
2.064756E-01
5.106174E-01
2.607301E-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
4.701411E-01
2.210326E-01
4.274871E-01
1.827452E-01
4.867793E-01
2.369540E-01
5.027352E-01
2.527427E-01
5.106174E-01
2.607301E-01
4.543959E-01
2.064756E-01
4.543155E-01
2.064026E-01
4.626331E-01
2.140294E-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
5.027352E-01
2.527427E-01
4.867793E-01
2.369540E-01
4.679247E-01
2.189535E-01
4.504680E-01
2.029214E-01
4.626331E-01
2.140294E-01
4.543155E-01
2.064026E-01
4.827763E-01
2.330729E-01
4.442611E-01
1.973679E-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
4.504680E-01
2.029214E-01
4.679247E-01
2.189535E-01
4.341058E-01
1.884478E-01
3.622812E-01
1.312477E-01
4.442611E-01
1.973679E-01
4.827763E-01
2.330729E-01
4.630415E-01
2.144074E-01
3.886521E-01
1.510505E-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
3.622812E-01
1.312477E-01
4.341058E-01
1.884478E-01
3.743485E-01
1.401368E-01
2.666983E-01
7.112801E-02
3.886521E-01
1.510505E-01
4.630415E-01
2.144074E-01
3.535862E-01
1.250232E-01
2.530293E-01
6.402384E-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
2.666983E-01
7.112801E-02
3.743485E-01
1.401368E-01
2.832798E-01
8.024744E-02
1.469655E-01
2.159885E-02
2.530293E-01
6.402384E-02
3.535862E-01
1.250232E-01
2.465508E-01
6.078730E-02
1.197139E-01
1.433141E-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
1.469655E-01
2.159885E-02
2.832798E-01
8.024744E-02
1.515017E-01
2.295275E-02
1.197139E-01
1.433141E-02
2.465508E-01
6.078730E-02
1.369614E-01
1.875841E-02
0.000000E+00
0.000000E+00
0.000000E+00
@ -345,119 +345,119 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
7.817283E-01
6.110991E-01
1.253966E-01
1.572431E-02
1.426340E+00
2.034446E+00
2.208824E-01
4.878905E-02
1.815669E+00
3.296655E+00
2.598719E-01
6.753342E-02
2.446230E+00
5.984040E+00
3.067264E-01
9.408108E-02
2.670094E+00
7.129404E+00
3.358723E-01
1.128102E-01
2.682092E+00
7.193615E+00
3.021784E-01
9.131179E-02
2.215470E+00
4.908307E+00
3.092112E-01
9.561158E-02
1.871290E+00
3.501727E+00
2.400626E-01
5.763006E-02
1.483119E+00
2.199642E+00
2.197799E-01
4.830323E-02
8.009200E-01
6.414728E-01
1.023113E-01
1.046761E-02
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
cmfd indices
1.000000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.165539E+00
1.179703E+00
1.191810E+00
1.207373E+00
1.203749E+00
1.208059E+00
1.208191E+00
1.201767E+00
1.201921E+00
1.203758E+00
1.209018E+00
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
cmfd entropy
3.217563E+00
3.209882E+00
3.204676E+00
3.212483E+00
3.217256E+00
3.216849E+00
3.219070E+00
3.217085E+00
3.223663E+00
3.230980E+00
3.230377E+00
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
cmfd balance
1.65304E-03
2.29951E-03
1.63426E-03
1.40012E-03
1.91396E-03
1.62948E-03
1.95633E-03
2.03045E-03
1.93004E-03
2.33201E-03
2.29894E-03
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
cmfd dominance ratio
5.460E-01
5.473E-01
5.415E-01
5.446E-01
5.451E-01
5.475E-01
5.502E-01
5.474E-01
5.498E-01
5.502E-01
5.483E-01
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
cmfd openmc source comparison
6.484315E-03
3.411419E-03
4.321857E-03
7.194272E-03
9.907101E-03
1.046661E-02
1.050754E-02
6.523687E-03
7.212189E-03
4.425062E-03
2.540177E-03
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
cmfd source
4.224343E-02
7.503541E-02
1.009853E-01
1.238103E-01
1.301388E-01
1.425912E-01
1.353339E-01
1.134730E-01
8.830826E-02
4.808031E-02
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

564
tests/regression_tests/cmfd_feed_rolling_window/results_true.dat
View file

@ -1,117 +1,117 @@
k-combined:
1.169526E+00 5.973537E-03
1.173626E+00 1.098719E-02
tally 1:
1.115884E+01
1.253283E+01
2.176964E+01
4.753045E+01
2.988209E+01
8.948736E+01
3.426842E+01
1.176956E+02
3.817775E+01
1.464502E+02
3.802079E+01
1.449155E+02
3.407399E+01
1.166067E+02
2.938579E+01
8.673128E+01
2.126809E+01
4.540856E+01
1.105934E+01
1.229825E+01
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
tally 2:
1.064631E+00
1.133439E+00
7.584662E-01
5.752710E-01
1.898252E+00
3.603361E+00
1.330629E+00
1.770573E+00
2.737585E+00
7.494369E+00
1.949437E+00
3.800303E+00
3.313845E+00
1.098157E+01
2.356303E+00
5.552166E+00
3.735566E+00
1.395445E+01
2.657859E+00
7.064213E+00
4.052274E+00
1.642093E+01
2.864885E+00
8.207568E+00
3.385112E+00
1.145899E+01
2.358075E+00
5.560519E+00
2.776429E+00
7.708560E+00
1.960468E+00
3.843434E+00
2.240243E+00
5.018688E+00
1.549641E+00
2.401386E+00
1.092006E+00
1.192478E+00
7.441585E-01
5.537719E-01
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
tally 3:
7.295798E-01
5.322866E-01
4.986135E-02
2.486155E-03
1.280099E+00
1.638654E+00
9.022531E-02
8.140606E-03
1.859202E+00
3.456630E+00
1.234662E-01
1.524390E-02
2.274313E+00
5.172502E+00
1.234662E-01
1.524390E-02
2.548554E+00
6.495129E+00
1.531456E-01
2.345357E-02
2.773126E+00
7.690228E+00
1.733276E-01
3.004244E-02
2.270798E+00
5.156524E+00
1.673917E-01
2.801998E-02
1.887286E+00
3.561849E+00
1.507712E-01
2.273196E-02
1.480414E+00
2.191625E+00
1.127816E-01
1.271970E-02
7.126366E-01
5.078509E-01
6.054593E-02
3.665809E-03
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
tally 4:
1.416041E-01
2.005172E-02
1.490605E-01
2.221904E-02
0.000000E+00
0.000000E+00
1.118431E-01
1.250887E-02
2.419761E-01
5.855243E-02
1.139233E-01
1.297851E-02
2.549497E-01
6.499934E-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
2.419761E-01
5.855243E-02
1.118431E-01
1.250887E-02
2.383966E-01
5.683292E-02
3.454391E-01
1.193281E-01
2.549497E-01
6.499934E-02
1.139233E-01
1.297851E-02
2.191337E-01
4.801958E-02
3.295187E-01
1.085826E-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
3.454391E-01
1.193281E-01
2.383966E-01
5.683292E-02
3.449676E-01
1.190027E-01
4.324309E-01
1.869965E-01
3.295187E-01
1.085826E-01
2.191337E-01
4.801958E-02
3.872400E-01
1.499548E-01
4.595835E-01
2.112170E-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
4.324309E-01
1.869965E-01
3.449676E-01
1.190027E-01
4.410209E-01
1.944994E-01
4.785286E-01
2.289896E-01
4.595835E-01
2.112170E-01
3.872400E-01
1.499548E-01
4.668106E-01
2.179121E-01
5.112307E-01
2.613569E-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
4.785286E-01
2.289896E-01
4.410209E-01
1.944994E-01
5.038795E-01
2.538945E-01
5.028063E-01
2.528142E-01
5.112307E-01
2.613569E-01
4.668106E-01
2.179121E-01
4.716605E-01
2.224636E-01
4.916148E-01
2.416851E-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
5.028063E-01
2.528142E-01
5.038795E-01
2.538945E-01
4.780368E-01
2.285192E-01
4.303602E-01
1.852099E-01
4.916148E-01
2.416851E-01
4.716605E-01
2.224636E-01
4.696777E-01
2.205972E-01
4.365150E-01
1.905453E-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
4.303602E-01
1.852099E-01
4.780368E-01
2.285192E-01
4.183673E-01
1.750312E-01
3.317104E-01
1.100318E-01
4.365150E-01
1.905453E-01
4.696777E-01
2.205972E-01
4.179902E-01
1.747158E-01
3.350564E-01
1.122628E-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
3.317104E-01
1.100318E-01
4.183673E-01
1.750312E-01
3.797671E-01
1.442230E-01
2.636003E-01
6.948514E-02
3.350564E-01
1.122628E-01
4.179902E-01
1.747158E-01
3.743487E-01
1.401370E-01
2.400661E-01
5.763172E-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
2.636003E-01
6.948514E-02
3.797671E-01
1.442230E-01
2.686240E-01
7.215888E-02
1.324766E-01
1.755005E-02
2.400661E-01
5.763172E-02
3.743487E-01
1.401370E-01
3.063657E-01
9.385994E-02
1.605078E-01
2.576275E-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
1.324766E-01
1.755005E-02
2.686240E-01
7.215888E-02
1.444839E-01
2.087560E-02
1.605078E-01
2.576275E-02
3.063657E-01
9.385994E-02
1.700639E-01
2.892174E-02
0.000000E+00
0.000000E+00
0.000000E+00
@ -345,119 +345,119 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
7.285713E-01
5.308161E-01
1.056136E-01
1.115423E-02
1.280099E+00
1.638654E+00
1.717497E-01
2.949797E-02
1.859202E+00
3.456630E+00
2.285372E-01
5.222927E-02
2.274313E+00
5.172502E+00
2.636808E-01
6.952757E-02
2.547588E+00
6.490203E+00
2.914026E-01
8.491545E-02
2.773126E+00
7.690228E+00
3.908576E-01
1.527696E-01
2.269831E+00
5.152135E+00
3.279256E-01
1.075352E-01
1.886272E+00
3.558024E+00
2.679083E-01
7.177487E-02
1.479436E+00
2.188731E+00
2.362981E-01
5.583681E-02
7.126366E-01
5.078509E-01
1.015892E-01
1.032038E-02
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
cmfd indices
1.000000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.188625E+00
1.172261E+00
1.172154E+00
1.176234E+00
1.161072E+00
1.174217E+00
1.176208E+00
1.183067E+00
1.208406E+00
1.220367E+00
1.208889E+00
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
cmfd entropy
3.216548E+00
3.213244E+00
3.220132E+00
3.216556E+00
3.218184E+00
3.208592E+00
3.220641E+00
3.217076E+00
3.216257E+00
3.212578E+00
3.230102E+00
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
cmfd balance
1.65186E-03
1.76715E-03
2.25997E-03
2.27924E-03
1.67354E-03
1.72671E-03
1.79744E-03
1.99065E-03
2.56417E-03
2.45718E-03
3.26245E-03
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
cmfd dominance ratio
5.445E-01
5.466E-01
5.539E-01
5.547E-01
5.569E-01
5.518E-01
5.553E-01
5.544E-01
5.474E-01
5.355E-01
5.460E-01
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
5.484E-01
5.465E-01
cmfd openmc source comparison
5.662096E-03
3.660183E-03
4.806643E-03
2.475327E-03
6.166988E-03
2.205088E-03
4.010491E-03
6.270883E-03
3.070427E-03
5.679208E-03
1.488803E-02
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
cmfd source
4.111004E-02
7.023296E-02
1.023250E-01
1.185886E-01
1.386562E-01
1.392823E-01
1.290017E-01
1.147469E-01
9.733704E-02
4.871933E-02
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

614
tests/regression_tests/cmfd_nofeed/results_true.dat
View file

@ -1,117 +1,117 @@
k-combined:
1.170405E+00 1.487119E-02
1.172893E+00 8.095197E-03
tally 1:
1.172722E+01
1.378635E+01
2.122139E+01
4.511390E+01
2.936481E+01
8.649521E+01
3.553909E+01
1.265901E+02
3.862903E+01
1.497314E+02
3.683895E+01
1.358679E+02
3.373597E+01
1.140439E+02
2.810435E+01
7.932253E+01
2.098314E+01
4.409819E+01
1.105096E+01
1.224007E+01
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
tally 2:
2.275408E+01
2.603315E+01
1.590700E+01
1.273395E+01
4.112322E+01
8.498758E+01
2.911800E+01
4.264070E+01
5.707453E+01
1.638375E+02
4.069300E+01
8.336155E+01
6.915962E+01
2.399628E+02
4.926800E+01
1.218497E+02
7.521027E+01
2.842789E+02
5.357900E+01
1.443468E+02
7.387401E+01
2.738660E+02
5.263400E+01
1.390611E+02
6.871266E+01
2.368771E+02
4.902000E+01
1.205569E+02
5.632046E+01
1.592677E+02
3.999300E+01
8.035469E+01
4.291289E+01
9.245946E+01
3.046000E+01
4.661878E+01
2.273666E+01
2.598211E+01
1.590800E+01
1.271433E+01
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
tally 3:
1.529800E+01
1.178010E+01
1.016076E+00
5.280687E-02
2.803900E+01
3.955010E+01
1.861024E+00
1.765351E-01
3.919400E+01
7.734526E+01
2.540695E+00
3.268959E-01
4.749400E+01
1.132677E+02
3.087604E+00
4.837647E-01
5.156500E+01
1.337335E+02
3.371014E+00
5.734875E-01
5.070500E+01
1.290569E+02
3.292766E+00
5.489854E-01
4.723400E+01
1.119247E+02
2.949932E+00
4.381745E-01
3.847900E+01
7.441953E+01
2.522868E+00
3.218962E-01
2.933900E+01
4.325593E+01
1.818016E+00
1.672765E-01
1.534700E+01
1.183573E+01
9.564025E-01
4.735079E-02
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
tally 4:
3.092000E+00
4.809100E-01
3.111000E+00
4.872850E-01
0.000000E+00
0.000000E+00
2.628000E+00
3.509980E-01
5.388000E+00
1.458946E+00
2.794000E+00
3.972060E-01
5.520000E+00
1.535670E+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
5.388000E+00
1.458946E+00
2.628000E+00
3.509980E-01
5.063000E+00
1.292417E+00
7.312000E+00
2.686738E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -152,14 +152,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.312000E+00
2.686738E+00
5.063000E+00
1.292417E+00
7.115000E+00
2.542363E+00
8.719000E+00
3.819081E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -176,14 +176,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.719000E+00
3.819081E+00
7.115000E+00
2.542363E+00
8.483000E+00
3.615549E+00
9.255000E+00
4.303287E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -200,14 +200,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.255000E+00
4.303287E+00
8.483000E+00
3.615549E+00
9.375000E+00
4.416751E+00
9.330000E+00
4.375230E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -224,14 +224,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.330000E+00
4.375230E+00
9.375000E+00
4.416751E+00
9.346000E+00
4.379220E+00
8.458000E+00
3.585930E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -248,14 +248,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.458000E+00
3.585930E+00
9.346000E+00
4.379220E+00
8.671000E+00
3.770383E+00
7.062000E+00
2.505966E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -272,14 +272,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.062000E+00
2.505966E+00
8.671000E+00
3.770383E+00
7.279000E+00
2.663587E+00
4.994000E+00
1.261468E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -296,14 +296,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
4.994000E+00
1.261468E+00
7.279000E+00
2.663587E+00
5.492000E+00
1.515002E+00
2.772000E+00
3.896040E-01
5.194000E+00
1.356022E+00
7.385000E+00
2.737677E+00
5.436000E+00
1.481654E+00
2.756000E+00
3.843860E-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
2.772000E+00
3.896040E-01
5.492000E+00
1.515002E+00
3.022000E+00
4.608940E-01
2.756000E+00
3.843860E-01
5.436000E+00
1.481654E+00
3.030000E+00
4.643920E-01
0.000000E+00
0.000000E+00
0.000000E+00
@ -345,144 +345,144 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
1.529600E+01
1.177689E+01
2.229624E+00
2.514699E-01
2.803300E+01
3.953329E+01
3.889856E+00
7.678274E-01
3.918900E+01
7.732686E+01
5.211188E+00
1.378173E+00
4.748700E+01
1.132339E+02
6.595911E+00
2.211528E+00
5.155000E+01
1.336522E+02
6.673103E+00
2.248462E+00
5.069800E+01
1.290196E+02
6.907470E+00
2.412919E+00
4.722500E+01
1.118824E+02
6.200070E+00
1.954544E+00
3.847200E+01
7.439145E+01
5.385095E+00
1.462192E+00
2.933600E+01
4.324744E+01
4.014057E+00
8.142088E-01
1.534200E+01
1.182781E+01
2.076271E+00
2.273431E-01
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
cmfd indices
1.000000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.161531E+00
1.181707E+00
1.176063E+00
1.168433E+00
1.173170E+00
1.174671E+00
1.176457E+00
1.177540E+00
1.180826E+00
1.174158E+00
1.171305E+00
1.172618E+00
1.170171E+00
1.173235E+00
1.172599E+00
1.177343E+00
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
cmfd entropy
3.206619E+00
3.207385E+00
3.208853E+00
3.210825E+00
3.214820E+00
3.213490E+00
3.212717E+00
3.210590E+00
3.211948E+00
3.212156E+00
3.212900E+00
3.212275E+00
3.212766E+00
3.214205E+00
3.212717E+00
3.214169E+00
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
cmfd balance
4.99833E-03
5.81289E-03
3.45193E-03
2.84521E-03
3.72331E-03
3.07942E-03
2.58676E-03
2.19354E-03
2.11522E-03
2.02671E-03
1.71439E-03
1.62909E-03
1.43261E-03
1.26201E-03
1.40167E-03
1.26141E-03
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
cmfd dominance ratio
5.283E-01
5.304E-01
5.310E-01
5.324E-01
5.372E-01
5.369E-01
5.367E-01
5.341E-01
5.353E-01
5.375E-01
5.379E-01
5.372E-01
5.379E-01
5.393E-01
5.384E-01
5.382E-01
5.539E-01
5.522E-01
5.491E-01
5.511E-01
5.506E-01
5.523E-01
5.523E-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
1.291827E-02
9.488059E-03
8.538280E-03
6.820006E-03
4.300032E-03
5.486871E-03
4.493389E-03
4.913340E-03
5.132196E-03
3.342331E-03
3.094995E-03
3.553279E-03
3.284811E-03
2.492272E-03
3.062765E-03
2.632092E-03
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
cmfd source
4.280100E-02
7.944783E-02
1.091569E-01
1.329540E-01
1.451697E-01
1.413526E-01
1.258514E-01
1.067698E-01
7.656551E-02
3.993138E-02
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

614
tests/regression_tests/cmfd_restart/results_true.dat
View file

@ -1,117 +1,117 @@
k-combined:
1.159021E+00 8.924006E-03
1.164262E+00 9.207592E-03
tally 1:
1.140162E+01
1.306940E+01
2.093739E+01
4.404780E+01
2.914408E+01
8.521010E+01
3.483677E+01
1.216824E+02
3.778463E+01
1.429632E+02
3.810371E+01
1.455108E+02
3.465248E+01
1.207868E+02
2.862033E+01
8.218833E+01
2.086025E+01
4.365941E+01
1.130798E+01
1.286509E+01
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
tally 2:
2.234393E+01
2.516414E+01
1.555024E+01
1.218205E+01
4.087743E+01
8.401702E+01
2.883717E+01
4.185393E+01
5.635166E+01
1.595225E+02
3.998857E+01
8.040398E+01
6.887126E+01
2.379185E+02
4.903103E+01
1.206174E+02
7.452051E+01
2.785675E+02
5.295380E+01
1.406900E+02
7.495422E+01
2.819070E+02
5.333191E+01
1.427474E+02
6.921815E+01
2.408568E+02
4.928246E+01
1.221076E+02
5.668548E+01
1.612556E+02
4.035856E+01
8.181159E+01
4.259952E+01
9.112630E+01
3.026717E+01
4.600625E+01
2.310563E+01
2.688378E+01
1.615934E+01
1.315528E+01
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
tally 3:
1.496375E+01
1.128154E+01
9.905641E-01
5.125710E-02
2.774937E+01
3.877241E+01
1.786861E+00
1.627655E-01
3.849739E+01
7.453828E+01
2.494135E+00
3.158098E-01
4.724085E+01
1.119901E+02
3.031174E+00
4.653741E-01
5.096719E+01
1.303552E+02
3.254375E+00
5.351020E-01
5.133808E+01
1.322892E+02
3.383595E+00
5.798798E-01
4.756072E+01
1.137527E+02
3.001917E+00
4.558247E-01
3.887437E+01
7.593416E+01
2.517908E+00
3.221926E-01
2.910687E+01
4.255173E+01
1.817765E+00
1.678763E-01
1.557241E+01
1.222026E+01
9.852737E-01
5.002659E-02
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
tally 4:
3.047490E+00
4.661458E-01
3.148231E+00
4.974555E-01
0.000000E+00
0.000000E+00
2.635775E+00
3.524426E-01
5.357229E+00
1.440049E+00
2.805439E+00
3.982239E-01
5.574031E+00
1.561105E+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
5.357229E+00
1.440049E+00
2.635775E+00
3.524426E-01
4.982072E+00
1.251449E+00
7.228146E+00
2.620353E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -152,14 +152,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.228146E+00
2.620353E+00
4.982072E+00
1.251449E+00
7.082265E+00
2.520047E+00
8.736529E+00
3.831244E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -176,14 +176,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.736529E+00
3.831244E+00
7.082265E+00
2.520047E+00
8.474631E+00
3.607043E+00
9.346623E+00
4.390819E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -200,14 +200,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.346623E+00
4.390819E+00
8.474631E+00
3.607043E+00
9.496684E+00
4.522478E+00
9.532822E+00
4.559003E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -224,14 +224,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
9.532822E+00
4.559003E+00
9.496684E+00
4.522478E+00
9.404949E+00
4.446260E+00
8.550930E+00
3.668401E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -248,14 +248,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
8.550930E+00
3.668401E+00
9.404949E+00
4.446260E+00
8.785273E+00
3.874792E+00
7.128863E+00
2.554326E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -272,14 +272,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
7.128863E+00
2.554326E+00
8.785273E+00
3.874792E+00
7.408549E+00
2.755885E+00
5.094992E+00
1.305737E+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
0.000000E+00
0.000000E+00
0.000000E+00
@ -296,14 +296,14 @@ tally 4:
0.000000E+00
0.000000E+00
0.000000E+00
5.094992E+00
1.305737E+00
7.408549E+00
2.755885E+00
5.532149E+00
1.537289E+00
2.812344E+00
3.997146E-01
5.018287E+00
1.263077E+00
7.218790E+00
2.612243E+00
5.443494E+00
1.487018E+00
2.732334E+00
3.773047E-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
2.812344E+00
3.997146E-01
5.532149E+00
1.537289E+00
3.063251E+00
4.728672E-01
2.732334E+00
3.773047E-01
5.443494E+00
1.487018E+00
3.044773E+00
4.655756E-01
0.000000E+00
0.000000E+00
0.000000E+00
@ -345,144 +345,144 @@ tally 4:
0.000000E+00
0.000000E+00
tally 5:
1.496000E+01
1.127586E+01
2.280081E+00
2.675609E-01
2.774503E+01
3.876011E+01
3.908836E+00
7.703029E-01
3.848706E+01
7.449836E+01
5.299924E+00
1.422782E+00
4.723172E+01
1.119459E+02
6.450156E+00
2.105590E+00
5.095931E+01
1.303132E+02
7.050681E+00
2.515092E+00
5.133412E+01
1.322694E+02
6.853429E+00
2.384127E+00
4.754621E+01
1.136848E+02
6.370026E+00
2.058896E+00
3.886829E+01
7.591042E+01
5.266816E+00
1.400495E+00
2.910277E+01
4.253981E+01
4.090844E+00
8.442500E-01
1.556949E+01
1.221526E+01
2.266123E+00
2.641551E-01
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
cmfd indices
1.000000E+01
1.000000E+00
1.000000E+00
1.000000E+00
k cmfd
1.161531E+00
1.182724E+00
1.169653E+00
1.164722E+00
1.164583E+00
1.162952E+00
1.167024E+00
1.164509E+00
1.165693E+00
1.170623E+00
1.166618E+00
1.170805E+00
1.170962E+00
1.170964E+00
1.168224E+00
1.169864E+00
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
cmfd entropy
3.206619E+00
3.205815E+00
3.208678E+00
3.210820E+00
3.217023E+00
3.215014E+00
3.214592E+00
3.215913E+00
3.214998E+00
3.213644E+00
3.210755E+00
3.210496E+00
3.212488E+00
3.211553E+00
3.212999E+00
3.214052E+00
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
cmfd balance
4.99833E-03
5.64677E-03
3.62795E-03
3.91962E-03
3.87172E-03
2.48450E-03
3.15554E-03
2.49335E-03
2.31973E-03
2.19156E-03
2.31352E-03
2.03401E-03
1.80242E-03
1.65868E-03
1.47543E-03
1.49706E-03
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
cmfd dominance ratio
5.283E-01
5.289E-01
5.305E-01
5.327E-01
5.377E-01
5.360E-01
5.353E-01
4.983E-01
5.379E-01
5.370E-01
5.359E-01
5.349E-01
5.364E-01
5.347E-01
5.360E-01
5.378E-01
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
5.441E-01
cmfd openmc source comparison
1.291827E-02
1.027137E-02
8.738370E-03
6.854409E-03
4.188357E-03
4.941359E-03
5.139239E-03
4.244784E-03
4.240559E-03
3.375424E-03
3.716858E-03
3.595700E-03
3.626952E-03
3.999302E-03
2.431760E-03
1.673200E-03
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
cmfd source
4.185460E-02
7.636314E-02
1.075536E-01
1.307167E-01
1.400879E-01
1.459944E-01
1.297413E-01
1.084649E-01
7.772031E-02
4.150306E-02
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

18
tests/regression_tests/complex_cell/results_true.dat
View file

@ -1,11 +1,11 @@
k-combined:
2.490321E-01 1.083676E-03
2.564169E-01 4.095378E-03
tally 1:
2.617769E+00
1.371478E+00
2.716496E+00
1.476169E+00
1.005297E+00
2.026100E-01
1.075286E-01
2.316593E-03
2.607144E+00
1.360414E+00
2.681079E+00
1.439354E+00
9.627534E-01
1.855496E-01
1.123751E-01
2.530233E-03

6
tests/regression_tests/confidence_intervals/results_true.dat
View file

@ -1,5 +1,5 @@
k-combined:
2.679617E-01 1.158917E-02
2.759923E-01 6.988588E-03
tally 1:
6.693704E+01
5.643483E+02
6.167984E+01
4.772717E+02

22
tests/regression_tests/cpp_driver/results_true.dat
View file

@ -1,13 +1,13 @@
k-combined:
1.902610E+00 1.901530E-02
1.933305E+00 1.300360E-02
tally 1:
9.580351E+01
1.031580E+03
2.745984E+01
8.430494E+01
9.422158E+01
9.919885E+02
2.174849E+02
5.292948E+03
2.174849E+02
5.292948E+03
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

6
tests/regression_tests/dagmc/external/results_true.dat vendored
View file

@ -1,5 +1,5 @@
k-combined:
8.426936E-01 5.715847E-02
9.118190E-01 3.615552E-02
tally 1:
8.093843E+00
1.328829E+01
8.430103E+00
1.442878E+01

6
tests/regression_tests/dagmc/legacy/results_true.dat
View file

@ -1,5 +1,5 @@
k-combined:
8.426936E-01 5.715847E-02
9.118190E-01 3.615552E-02
tally 1:
8.093843E+00
1.328829E+01
8.430103E+00
1.442878E+01

6
tests/regression_tests/dagmc/refl/results_true.dat
View file

@ -1,5 +1,5 @@
k-combined:
2.130286E+00 2.412252E-02
2.035173E+00 3.967029E-02
tally 1:
1.177815E+01
2.806871E+01
1.064492E+01
2.301019E+01

2
tests/regression_tests/dagmc/universes/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
9.436168E-01 2.905559E-02
9.156561E-01 4.398617E-02

2
tests/regression_tests/density/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
1.097336E+00 2.305434E-02
1.110057E+00 1.303260E-02

1296
tests/regression_tests/deplete_with_transport/last_step_reference_materials.xml
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File diff suppressed because it is too large Load diff

BIN
tests/regression_tests/deplete_with_transport/test_reference.h5
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Binary file not shown.

220
tests/regression_tests/diff_tally/results_true.dat
View file

@ -1,27 +1,27 @@
d_material,d_nuclide,d_variable,score,mean,std. dev.
3,,density,flux,-8.9862333e+00,2.7508460e+00
3,,density,flux,-1.9778752e+01,3.5926341e+00
1,,density,flux,-2.6861000e-01,3.8449483e-02
1,,density,flux,-3.7643515e-01,1.8991066e-01
1,O16,nuclide_density,flux,-2.5795663e+00,1.6620453e+01
1,O16,nuclide_density,flux,7.2861106e+00,1.5941849e+01
1,U235,nuclide_density,flux,-2.2849358e+03,3.9506163e+02
1,U235,nuclide_density,flux,-2.7845978e+03,5.6693457e+02
1,,temperature,flux,-1.8666344e-04,1.1088646e-04
1,,temperature,flux,9.2264971e-05,8.7268407e-05
3,,density,total,-4.1447663e+00,1.1453915e+00
3,,density,absorption,-6.0174688e-01,1.0525787e-01
3,,density,scatter,-3.5430194e+00,1.0499557e+00
3,,density,fission,-2.8547461e-01,6.7402688e-02
3,,density,nu-fission,-6.9988357e-01,1.6360007e-01
3,,density,total,-3.7715161e-01,1.0166405e-01
3,,density,absorption,-3.3327322e-01,8.9912373e-02
3,,density,scatter,-4.3878393e-02,1.3801869e-02
3,,density,fission,-2.7256167e-01,7.1483193e-02
3,,density,nu-fission,-6.6439453e-01,1.7417261e-01
3,,density,total,-2.3838461e+00,4.2331432e+00
3,,density,absorption,-5.7877951e-02,5.3522562e-02
3,,density,scatter,-2.3259682e+00,4.1799423e+00
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,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,4.0520294e-01,3.3719992e-02
1,,density,absorption,1.3915754e-02,1.3515385e-02
1,,density,scatter,3.9128718e-01,2.2403876e-02
1,,density,fission,2.4781454e-04,1.0189025e-02
1,,density,nu-fission,1.2555927e-03,2.4804599e-02
1,,density,total,5.1306892e-03,1.1784483e-02
1,,density,absorption,6.1064429e-04,1.1572255e-02
1,,density,scatter,4.5200449e-03,3.2228853e-04
1,,density,fission,-1.5830325e-03,1.0334068e-02
1,,density,nu-fission,-3.8226434e-03,2.5181192e-02
1,,density,total,-6.6601129e-01,2.0465955e-01
1,,density,absorption,-1.5334818e-02,4.0664980e-03
1,,density,scatter,-6.5067647e-01,2.0153765e-01
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,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,4.3895711e+01,8.6765744e+00
1,O16,nuclide_density,absorption,-7.3377277e-01,1.1652783e+00
1,O16,nuclide_density,scatter,4.4629484e+01,7.5113743e+00
1,O16,nuclide_density,fission,-1.0525946e+00,6.2358336e-01
1,O16,nuclide_density,nu-fission,-2.5950001e+00,1.5266115e+00
1,O16,nuclide_density,total,-1.0686783e+00,8.1661764e-01
1,O16,nuclide_density,absorption,-1.0549848e+00,7.2501792e-01
1,O16,nuclide_density,scatter,-1.3693500e-02,9.5152724e-02
1,O16,nuclide_density,fission,-9.8026040e-01,6.2874064e-01
1,O16,nuclide_density,nu-fission,-2.3899304e+00,1.5323042e+00
1,O16,nuclide_density,total,4.3744802e+00,1.8346830e+01
1,O16,nuclide_density,absorption,-7.6879459e-03,1.9447931e-01
1,O16,nuclide_density,scatter,4.3821681e+00,1.8168908e+01
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,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,-6.4251150e+02,2.3106826e+02
1,U235,nuclide_density,absorption,1.5311660e+02,8.7788828e+01
1,U235,nuclide_density,scatter,-7.9562811e+02,1.5432248e+02
1,U235,nuclide_density,fission,2.3667219e+02,6.4506235e+01
1,U235,nuclide_density,nu-fission,5.7770896e+02,1.5738708e+02
1,U235,nuclide_density,total,4.1238071e+02,7.5208565e+01
1,U235,nuclide_density,absorption,3.0507276e+02,7.3015316e+01
1,U235,nuclide_density,scatter,1.0730795e+02,3.4182980e+00
1,U235,nuclide_density,fission,2.3734641e+02,6.4221163e+01
1,U235,nuclide_density,nu-fission,5.7953503e+02,1.5657365e+02
1,U235,nuclide_density,total,-5.5174298e+03,1.1185254e+03
1,U235,nuclide_density,absorption,-1.3416339e+02,3.2272881e+01
1,U235,nuclide_density,scatter,-5.3832664e+03,1.0864829e+03
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,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,3.0892324e-05,5.5277596e-05
1,,temperature,absorption,2.2324596e-05,2.6209954e-05
1,,temperature,scatter,8.5677277e-06,6.2111314e-05
1,,temperature,fission,-1.7715856e-05,1.2803586e-05
1,,temperature,nu-fission,-4.3163971e-05,3.1203107e-05
1,,temperature,total,-2.3895766e-05,1.6226810e-05
1,,temperature,absorption,-2.2388970e-05,1.6503185e-05
1,,temperature,scatter,-1.5067967e-06,8.6753589e-07
1,,temperature,fission,-1.7806576e-05,1.2760443e-05
1,,temperature,nu-fission,-4.3390060e-05,3.1095620e-05
1,,temperature,total,1.3388075e-04,1.1361483e-04
1,,temperature,absorption,1.3825063e-06,1.3898795e-06
1,,temperature,scatter,1.3249824e-04,1.1224449e-04
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,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,-4.3471777e-01,1.4851761e-01
3,,density,absorption,4.8155520e-02,1.3781656e-01
1,,density,absorption,9.4994508e-03,2.4533642e-03
1,,density,absorption,-1.0306958e-02,3.9360517e-03
1,O16,nuclide_density,absorption,-1.6745789e+00,6.7608522e-01
1,O16,nuclide_density,absorption,1.2254539e+00,7.5421132e-01
1,U235,nuclide_density,absorption,7.1093314e+01,1.0278274e+02
1,U235,nuclide_density,absorption,-1.3158317e+02,1.0057325e+01
1,,temperature,absorption,-2.8254564e-05,2.2125234e-05
1,,temperature,absorption,1.3248119e-05,8.9856151e-06
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,nu-fission,0.0000000e+00,0.0000000e+00
3,,density,scatter,-5.9591692e-01,1.8102644e-01
3,,density,scatter,-7.6858714e-01,3.2467801e-01
3,,density,nu-fission,0.0000000e+00,0.0000000e+00
3,,density,scatter,-1.0186140e-04,6.5335918e-04
3,,density,nu-fission,-7.7216010e-01,6.6235203e-02
3,,density,scatter,-3.1141316e+00,8.7438594e-01
3,,density,nu-fission,-7.4472975e-01,6.8932536e-02
3,,density,scatter,-1.0613299e-02,1.4747505e-02
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,nu-fission,0.0000000e+00,0.0000000e+00
3,,density,scatter,-2.3938461e+00,2.0442591e+00
3,,density,scatter,1.0254549e+01,1.1054242e+01
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,-3.8155549e-02,2.1549075e+00
3,,density,scatter,2.5022850e-01,2.1207285e+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,9.6114352e-03,3.0773624e-02
1,,density,scatter,8.1153611e-03,3.1226564e-02
1,,density,nu-fission,0.0000000e+00,0.0000000e+00
1,,density,scatter,-4.8445916e-04,4.1692636e-04
1,,density,nu-fission,-2.0032982e-02,1.5628598e-02
1,,density,scatter,3.8609205e-01,2.0651677e-02
1,,density,nu-fission,-2.4325475e-02,1.6087936e-02
1,,density,scatter,2.1127093e-03,1.1144847e-03
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,nu-fission,0.0000000e+00,0.0000000e+00
1,,density,scatter,-5.6312059e-01,1.2644279e-01
1,,density,scatter,-3.8358302e-01,2.1525401e-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,-9.2583739e-02,1.3802271e-01
1,,density,scatter,-1.1924803e-01,9.1254221e-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,2.8010197e-02,9.9675258e-02
1,O16,nuclide_density,nu-fission,-2.7133439e+00,1.9638343e+00
1,O16,nuclide_density,scatter,-5.8699167e-02,2.9596632e-01
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,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,1.0007013e+01,5.9794002e+00
1,U235,nuclide_density,nu-fission,4.3209054e+02,1.5648214e+02
1,U235,nuclide_density,scatter,4.6100250e+01,2.3766583e+01
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,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,1.9350898e-06,2.0685006e-06
1,,temperature,nu-fission,-6.5233572e-05,6.4075926e-05
1,,temperature,scatter,-7.6629325e-07,7.6629325e-07
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,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

2
tests/regression_tests/distribmat/results_true.dat
View file

@ -1,5 +1,5 @@
k-combined:
1.234870E+00 1.724266E-02
1.257344E+00 6.246360E-04
Cell
ID = 11
Name =

6
tests/regression_tests/eigenvalue_genperbatch/results_true.dat
View file

@ -1,5 +1,5 @@
k-combined:
3.029569E-01 9.632511E-05
3.037481E-01 1.247474E-04
tally 1:
3.226370E+01
2.602467E+02
3.211129E+01
2.578396E+02

2
tests/regression_tests/eigenvalue_no_inactive/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
3.066848E-01 7.260987E-03
2.998284E-01 7.587782E-03

2
tests/regression_tests/energy_grid/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
3.317249E-01 1.079825E-02
3.152586E-01 1.458068E-03

20
tests/regression_tests/entropy/results_true.dat
View file

@ -1,13 +1,13 @@
k-combined:
2.987050E-01 1.827430E-03
3.070134E-01 3.900396E-03
entropy:
7.688862E+00
8.184416E+00
8.363034E+00
8.174200E+00
8.243373E+00
8.298547E+00
8.267346E+00
8.253347E+00
8.329508E+00
8.363320E+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

162
tests/regression_tests/filter_cellinstance/results_true.dat
View file

@ -1,84 +1,84 @@
k-combined:
1.045340E+00 4.712608E-02
1.050139E+00 1.886614E-02
tally 1:
7.410456E-02
1.481523E-03
1.225401E-01
3.736978E-03
1.383468E-01
4.249085E-03
1.197994E-01
3.155257E-03
2.966893E-01
2.045198E-02
1.570258E-01
5.313506E-03
1.655546E-01
6.093224E-03
2.749756E-01
1.582780E-02
1.184686E-01
3.543719E-03
1.354860E-01
3.990719E-03
1.299309E-01
3.988554E-03
6.794395E-02
1.135006E-03
1.061333E+01
2.508486E+01
2.767786E+01
1.781264E+02
2.898957E+01
2.015188E+02
9.951936E+00
2.345815E+01
1.061333E+01
2.508486E+01
2.767786E+01
1.781264E+02
2.898957E+01
2.015188E+02
9.951936E+00
2.345815E+01
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
tally 2:
9.951936E+00
2.345815E+01
2.898957E+01
2.015188E+02
2.767786E+01
1.781264E+02
1.061333E+01
2.508486E+01
9.951936E+00
2.345815E+01
2.898957E+01
2.015188E+02
2.767786E+01
1.781264E+02
1.061333E+01
2.508486E+01
6.794395E-02
1.135006E-03
1.299309E-01
3.988554E-03
1.354860E-01
3.990719E-03
1.184686E-01
3.543719E-03
2.749756E-01
1.582780E-02
1.655546E-01
6.093224E-03
1.570258E-01
5.313506E-03
2.966893E-01
2.045198E-02
1.197994E-01
3.155257E-03
1.383468E-01
4.249085E-03
1.225401E-01
3.736978E-03
7.410456E-02
1.481523E-03
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

2
tests/regression_tests/filter_distribcell/case-3/results_true.dat
View file

@ -1 +1 @@
d3ecf354b33d09064f43816325f33ec1229d1258255ee8413e83f7ba96ca921b8f4be738c10af99c5376bfe2b6be45976595634efcafddec0d9296eb45ffed3e
1d09084dc41305687d53d1e800fb3d0ac3949aa4e1cb0bfbb327d0ec1ad4b74fc97ee73da84b910529296b858aab9b8a5d0924d17ca2cc373625e1a9e197aa94

2
tests/regression_tests/filter_mesh/results_true.dat
View file

@ -1 +1 @@
70243ebdb882e4367bf821667a9f4d41dea03eaf8b27d734e014a13e14922b5158cd47b0a7edf3733d4e23ca6a5ab06457220c9138b7e9720acf547f2eaa06e2
bd55ee25094f9ad04fda4439f58ef0fed718632c88b9fde411a484dc624dedcd45dee643e14d8b107d8b92757737b8bb3d9a667de5482457d6d8346afffdf657

674
tests/regression_tests/filter_translations/results_true.dat
View file

@ -1,342 +1,342 @@
k-combined:
7.952381E-01 3.714273E-02
2.298294E-01 3.256961E-01
tally 1:
5.340506E-02
5.744901E-04
8.160966E-02
1.360702E-03
5.306458E-02
5.712302E-04
1.263577E-01
3.302526E-03
3.858930E-01
3.008104E-02
1.511449E-01
4.656419E-03
1.279399E-01
3.429368E-03
3.676349E-01
2.739091E-02
1.410822E-01
4.100718E-03
5.379722E-02
5.997669E-04
8.933947E-02
1.635151E-03
5.212766E-02
5.497167E-04
7.332108E-02
1.098591E-03
1.040477E-01
2.211291E-03
5.326449E-02
5.881665E-04
1.952299E-01
7.733668E-03
5.683168E-01
6.600345E-02
1.866765E-01
7.004663E-03
2.262997E-01
1.033597E-02
6.280081E-01
7.932045E-02
1.861170E-01
6.952815E-03
7.317076E-02
1.109977E-03
1.145829E-01
2.646373E-03
6.567032E-02
8.836880E-04
6.614241E-02
8.902720E-04
1.083575E-01
2.356190E-03
6.479323E-02
8.604886E-04
2.202887E-01
9.846484E-03
9.405324E-01
2.263338E-01
1.993991E-01
7.984693E-03
2.310168E-01
1.084962E-02
9.617014E-01
2.432501E-01
2.127786E-01
9.085201E-03
7.772444E-02
1.217267E-03
1.170744E-01
2.791253E-03
7.480464E-02
1.126824E-03
6.321842E-02
8.234272E-04
1.002360E-01
2.026069E-03
6.532157E-02
8.622865E-04
1.934126E-01
7.639724E-03
5.583838E-01
6.274792E-02
1.914812E-01
7.440011E-03
1.808706E-01
6.774850E-03
6.259735E-01
7.874410E-02
1.959623E-01
7.771208E-03
6.301362E-02
8.178688E-04
1.062362E-01
2.292485E-03
5.916939E-02
7.078944E-04
5.265976E-02
5.634399E-04
6.747063E-02
9.141711E-04
4.478697E-02
4.077583E-04
1.277486E-01
3.308655E-03
3.585674E-01
2.641571E-02
1.192882E-01
2.901276E-03
1.457696E-01
4.299462E-03
3.467377E-01
2.463831E-02
1.305729E-01
3.605534E-03
5.067715E-02
5.273379E-04
7.374940E-02
1.102912E-03
5.226497E-02
5.649644E-04
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
tally 2:
2.442367E-01
1.209459E-02
2.543262E-01
1.314598E-02
5.639744E-01
6.449959E-02
6.415410E-01
8.269091E-02
2.631124E-01
1.406544E-02
2.513955E-01
1.285616E-02
3.570608E-01
2.559924E-02
2.978502E-01
1.787722E-02
1.142500E+00
2.799696E-01
1.072656E+00
2.465813E-01
3.720711E-01
2.776168E-02
3.520288E-01
2.482313E-02
3.406093E-01
2.332649E-02
3.186893E-01
2.046998E-02
1.039053E+00
2.337911E-01
1.055863E+00
2.442418E-01
3.636093E-01
2.679467E-02
3.514845E-01
2.481131E-02
2.356811E-01
1.112305E-02
2.424590E-01
1.205945E-02
5.851380E-01
6.974618E-02
5.788717E-01
6.882684E-02
2.430058E-01
1.205907E-02
2.390704E-01
1.167330E-02
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
tally 3:
5.340506E-02
5.744901E-04
8.160966E-02
1.360702E-03
5.306458E-02
5.712302E-04
1.263577E-01
3.302526E-03
3.858930E-01
3.008104E-02
1.511449E-01
4.656419E-03
1.279399E-01
3.429368E-03
3.676349E-01
2.739091E-02
1.410822E-01
4.100718E-03
5.379722E-02
5.997669E-04
8.933947E-02
1.635151E-03
5.212766E-02
5.497167E-04
7.332108E-02
1.098591E-03
1.040477E-01
2.211291E-03
5.326449E-02
5.881665E-04
1.952299E-01
7.733668E-03
5.683168E-01
6.600345E-02
1.866765E-01
7.004663E-03
2.262997E-01
1.033597E-02
6.280081E-01
7.932045E-02
1.861170E-01
6.952815E-03
7.317076E-02
1.109977E-03
1.145829E-01
2.646373E-03
6.567032E-02
8.836880E-04
6.614241E-02
8.902720E-04
1.083575E-01
2.356190E-03
6.479323E-02
8.604886E-04
2.202887E-01
9.846484E-03
9.405324E-01
2.263338E-01
1.993991E-01
7.984693E-03
2.310168E-01
1.084962E-02
9.617014E-01
2.432501E-01
2.127786E-01
9.085201E-03
7.772444E-02
1.217267E-03
1.170744E-01
2.791253E-03
7.480464E-02
1.126824E-03
6.321842E-02
8.234272E-04
1.002360E-01
2.026069E-03
6.532157E-02
8.622865E-04
1.934126E-01
7.639724E-03
5.583838E-01
6.274792E-02
1.914812E-01
7.440011E-03
1.808706E-01
6.774850E-03
6.259735E-01
7.874410E-02
1.959623E-01
7.771208E-03
6.301362E-02
8.178688E-04
1.062362E-01
2.292485E-03
5.916939E-02
7.078944E-04
5.265976E-02
5.634399E-04
6.747063E-02
9.141711E-04
4.478697E-02
4.077583E-04
1.277486E-01
3.308655E-03
3.585674E-01
2.641571E-02
1.192882E-01
2.901276E-03
1.457696E-01
4.299462E-03
3.467377E-01
2.463831E-02
1.305729E-01
3.605534E-03
5.067715E-02
5.273379E-04
7.374940E-02
1.102912E-03
5.226497E-02
5.649644E-04
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
tally 4:
2.442367E-01
1.209459E-02
2.543262E-01
1.314598E-02
5.639744E-01
6.449959E-02
6.415410E-01
8.269091E-02
2.631124E-01
1.406544E-02
2.513955E-01
1.285616E-02
3.570608E-01
2.559924E-02
2.978502E-01
1.787722E-02
1.142500E+00
2.799696E-01
1.072656E+00
2.465813E-01
3.720711E-01
2.776168E-02
3.520288E-01
2.482313E-02
3.406093E-01
2.332649E-02
3.186893E-01
2.046998E-02
1.039053E+00
2.337911E-01
1.055863E+00
2.442418E-01
3.636093E-01
2.679467E-02
3.514845E-01
2.481131E-02
2.356811E-01
1.112305E-02
2.424590E-01
1.205945E-02
5.851380E-01
6.974618E-02
5.788717E-01
6.882684E-02
2.430058E-01
1.205907E-02
2.390704E-01
1.167330E-02
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
tests/regression_tests/infinite_cell/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
9.537627E-02 2.349145E-03
9.589951E-02 8.489144E-04

2
tests/regression_tests/iso_in_lab/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
9.050918E-01 3.355799E-02
9.015537E-01 1.086850E-01

2
tests/regression_tests/lattice/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
1.068493E+00 1.318070E-01
9.610829E-01 2.522714E-02

2
tests/regression_tests/lattice_hex/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
2.522694E-01 1.422929E-02
2.566607E-01 9.207770E-03

2
tests/regression_tests/lattice_hex_coincident/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
1.901983E+00 1.772999E-02
1.917792E+00 4.329425E-02

2
tests/regression_tests/lattice_hex_x/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
1.345955E+00 3.225468E-02
1.367975E+00 2.264887E-02

2
tests/regression_tests/lattice_multiple/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
1.859909E+00 1.768384E-02
1.859911E+00 8.282311E-03

2
tests/regression_tests/lattice_rotated/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
4.674233E-01 1.599236E-02
4.426784E-01 6.627506E-03

2
tests/regression_tests/mgxs_library_ce_to_mg/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
1.263928E+00 3.768356E-02
1.158563E+00 3.354681E-02

2
tests/regression_tests/mgxs_library_ce_to_mg_nuclides/results_true.dat
View file

@ -1,2 +1,2 @@
k-combined:
3.817369E-01 1.166296E-02
6.025533E-01 1.157401E-02

604
tests/regression_tests/mgxs_library_condense/results_true.dat
View file

@ -1,362 +1,362 @@
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.693468 0.019161
2 1 2 1 1 total 0.694532 0.021411
1 2 1 1 1 total 0.693746 0.023378
3 2 2 1 1 total 0.697424 0.031315
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.439784 0.020575
2 1 2 1 1 total 0.427837 0.025828
1 2 1 1 1 total 0.423294 0.027075
3 2 2 1 1 total 0.433094 0.032674
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.439784 0.020575
2 1 2 1 1 total 0.427935 0.025836
1 2 1 1 1 total 0.423294 0.027075
3 2 2 1 1 total 0.433094 0.032674
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.021509 0.001396
2 1 2 1 1 total 0.020854 0.001436
1 2 1 1 1 total 0.021469 0.001983
3 2 2 1 1 total 0.022046 0.001594
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.021489 0.001396
2 1 2 1 1 total 0.020837 0.001436
1 2 1 1 1 total 0.021454 0.001983
3 2 2 1 1 total 0.022036 0.001594
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.011598 0.001508
2 1 2 1 1 total 0.010856 0.001613
1 2 1 1 1 total 0.011622 0.002259
3 2 2 1 1 total 0.012002 0.001685
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.009911 0.000667
2 1 2 1 1 total 0.009998 0.000859
1 2 1 1 1 total 0.009847 0.001153
3 2 2 1 1 total 0.010044 0.000939
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.024369 0.001625
2 1 2 1 1 total 0.024572 0.002095
1 2 1 1 1 total 0.024189 0.002811
3 2 2 1 1 total 0.024677 0.002291
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.919781e+06 128933.976741
2 1 2 1 1 total 1.936343e+06 166141.202022
1 2 1 1 1 total 1.906964e+06 223076.300071
3 2 2 1 1 total 1.945248e+06 181591.269295
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.671959 0.018153
2 1 2 1 1 total 0.673678 0.020448
1 2 1 1 1 total 0.672277 0.021882
3 2 2 1 1 total 0.675378 0.030166
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.672619 0.022961
2 1 2 1 1 total 0.687448 0.033696
1 2 1 1 1 total 0.676738 0.023823
3 2 2 1 1 total 0.673350 0.021595
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
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.672619 0.023173
1 1 1 1 1 1 P1 total 0.253684 0.007398
2 1 1 1 1 1 P2 total 0.083914 0.004899
3 1 1 1 1 1 P3 total 0.006851 0.005511
8 1 2 1 1 1 P0 total 0.687265 0.033719
9 1 2 1 1 1 P1 total 0.266694 0.014161
10 1 2 1 1 1 P2 total 0.110092 0.005824
11 1 2 1 1 1 P3 total 0.014970 0.004933
4 2 1 1 1 1 P0 total 0.676738 0.023406
5 2 1 1 1 1 P1 total 0.270452 0.013885
6 2 1 1 1 1 P2 total 0.107918 0.005840
7 2 1 1 1 1 P3 total 0.016160 0.004108
12 2 2 1 1 1 P0 total 0.673350 0.021192
13 2 2 1 1 1 P1 total 0.264330 0.009415
14 2 2 1 1 1 P2 total 0.093703 0.004850
15 2 2 1 1 1 P3 total 0.019800 0.005236
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
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.672619 0.023173
1 1 1 1 1 1 P1 total 0.253684 0.007398
2 1 1 1 1 1 P2 total 0.083914 0.004899
3 1 1 1 1 1 P3 total 0.006851 0.005511
8 1 2 1 1 1 P0 total 0.687448 0.033656
9 1 2 1 1 1 P1 total 0.266596 0.014177
10 1 2 1 1 1 P2 total 0.110079 0.005826
11 1 2 1 1 1 P3 total 0.015046 0.004973
4 2 1 1 1 1 P0 total 0.676738 0.023406
5 2 1 1 1 1 P1 total 0.270452 0.013885
6 2 1 1 1 1 P2 total 0.107918 0.005840
7 2 1 1 1 1 P3 total 0.016160 0.004108
12 2 2 1 1 1 P0 total 0.673350 0.021192
13 2 2 1 1 1 P1 total 0.264330 0.009415
14 2 2 1 1 1 P2 total 0.093703 0.004850
15 2 2 1 1 1 P3 total 0.019800 0.005236
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 1.000000 0.036767
2 1 2 1 1 1 total 1.000266 0.042769
1 2 1 1 1 1 total 1.000000 0.034289
3 2 2 1 1 1 total 1.000000 0.022887
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.025263 0.001825
2 1 2 1 1 1 total 0.021868 0.001931
1 2 1 1 1 1 total 0.025960 0.002413
3 2 2 1 1 1 total 0.028694 0.002815
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
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 1.0 0.036767
2 1 2 1 1 1 total 1.0 0.042878
1 2 1 1 1 1 total 1.0 0.034289
3 2 2 1 1 1 total 1.0 0.022887
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.671959 0.030658
1 1 1 1 1 1 P1 total 0.253435 0.010587
2 1 1 1 1 1 P2 total 0.083831 0.005499
3 1 1 1 1 1 P3 total 0.006845 0.005509
8 1 2 1 1 1 P0 total 0.673678 0.035391
9 1 2 1 1 1 P1 total 0.261422 0.014724
10 1 2 1 1 1 P2 total 0.107915 0.006058
11 1 2 1 1 1 P3 total 0.014674 0.004843
4 2 1 1 1 1 P0 total 0.672277 0.031784
5 2 1 1 1 1 P1 total 0.268669 0.016287
6 2 1 1 1 1 P2 total 0.107206 0.006753
7 2 1 1 1 1 P3 total 0.016054 0.004114
12 2 2 1 1 1 P0 total 0.675378 0.033896
13 2 2 1 1 1 P1 total 0.265126 0.014021
14 2 2 1 1 1 P2 total 0.093985 0.006096
15 2 2 1 1 1 P3 total 0.019860 0.005309
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.671959 0.039374
1 1 1 1 1 1 P1 total 0.253435 0.014104
2 1 1 1 1 1 P2 total 0.083831 0.006304
3 1 1 1 1 1 P3 total 0.006845 0.005515
8 1 2 1 1 1 P0 total 0.673857 0.045644
9 1 2 1 1 1 P1 total 0.261492 0.018491
10 1 2 1 1 1 P2 total 0.107944 0.007617
11 1 2 1 1 1 P3 total 0.014678 0.004885
4 2 1 1 1 1 P0 total 0.672277 0.039263
5 2 1 1 1 1 P1 total 0.268669 0.018712
6 2 1 1 1 1 P2 total 0.107206 0.007689
7 2 1 1 1 1 P3 total 0.016054 0.004150
12 2 2 1 1 1 P0 total 0.675378 0.037254
13 2 2 1 1 1 P1 total 0.265126 0.015278
14 2 2 1 1 1 P2 total 0.093985 0.006465
15 2 2 1 1 1 P3 total 0.019860 0.005328
mesh 1 group out nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.0 0.080776
2 1 2 1 1 total 1.0 0.117674
1 2 1 1 1 total 1.0 0.160576
3 2 2 1 1 total 1.0 0.151384
mesh 1 group out nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.0 0.080742
2 1 2 1 1 total 1.0 0.117674
1 2 1 1 1 total 1.0 0.160576
3 2 2 1 1 total 1.0 0.150417
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 4.800874e-07 2.910227e-08
2 1 2 1 1 total 5.008000e-07 3.613802e-08
1 2 1 1 1 total 4.872638e-07 4.324238e-08
3 2 2 1 1 total 4.890453e-07 2.833017e-08
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.024194 0.001614
2 1 2 1 1 total 0.024397 0.002081
1 2 1 1 1 total 0.024017 0.002793
3 2 2 1 1 total 0.024501 0.002276
0 1 1 1 1 1 total 1.0 0.041183
2 1 2 1 1 1 total 1.0 0.021636
1 2 1 1 1 1 total 1.0 0.046661
3 2 2 1 1 1 total 1.0 0.041512
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.024899 0.001762
2 1 2 1 1 1 total 0.021868 0.001931
1 2 1 1 1 1 total 0.025960 0.002413
3 2 2 1 1 1 total 0.028508 0.002818
0 1 1 1 1 1 total 0.027090 0.002808
2 1 2 1 1 1 total 0.031522 0.004261
1 2 1 1 1 1 total 0.021855 0.001457
3 2 2 1 1 1 total 0.028262 0.002358
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 1.0 0.041183
2 1 2 1 1 1 total 1.0 0.021636
1 2 1 1 1 1 total 1.0 0.046661
3 2 2 1 1 1 total 1.0 0.041512
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.677411 0.039336
1 1 1 1 1 1 P1 total 0.254754 0.014995
2 1 1 1 1 1 P2 total 0.086711 0.006439
3 1 1 1 1 1 P3 total 0.006402 0.005903
8 1 2 1 1 1 P0 total 0.666009 0.028990
9 1 2 1 1 1 P1 total 0.259060 0.013824
10 1 2 1 1 1 P2 total 0.095807 0.007684
11 1 2 1 1 1 P3 total 0.009858 0.003980
4 2 1 1 1 1 P0 total 0.691140 0.036991
5 2 1 1 1 1 P1 total 0.258859 0.013782
6 2 1 1 1 1 P2 total 0.094887 0.006555
7 2 1 1 1 1 P3 total 0.004710 0.004154
12 2 2 1 1 1 P0 total 0.680525 0.039486
13 2 2 1 1 1 P1 total 0.262642 0.015259
14 2 2 1 1 1 P2 total 0.092913 0.007251
15 2 2 1 1 1 P3 total 0.007921 0.005668
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.677411 0.048224
1 1 1 1 1 1 P1 total 0.254754 0.018301
2 1 1 1 1 1 P2 total 0.086711 0.007363
3 1 1 1 1 1 P3 total 0.006402 0.005909
8 1 2 1 1 1 P0 total 0.666009 0.032374
9 1 2 1 1 1 P1 total 0.259060 0.014917
10 1 2 1 1 1 P2 total 0.095807 0.007958
11 1 2 1 1 1 P3 total 0.009858 0.003985
4 2 1 1 1 1 P0 total 0.691140 0.049075
5 2 1 1 1 1 P1 total 0.258859 0.018326
6 2 1 1 1 1 P2 total 0.094887 0.007910
7 2 1 1 1 1 P3 total 0.004710 0.004160
12 2 2 1 1 1 P0 total 0.680525 0.048551
13 2 2 1 1 1 P1 total 0.262642 0.018754
14 2 2 1 1 1 P2 total 0.092913 0.008213
15 2 2 1 1 1 P3 total 0.007921 0.005677
mesh 1 group out nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.0 0.103333
2 1 2 1 1 total 1.0 0.118582
1 2 1 1 1 total 1.0 0.112144
3 2 2 1 1 total 1.0 0.130701
mesh 1 group out nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.0 0.103333
2 1 2 1 1 total 1.0 0.118582
1 2 1 1 1 total 1.0 0.112144
3 2 2 1 1 total 1.0 0.130701
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 5.304284e-07 2.560239e-08
2 1 2 1 1 total 4.940320e-07 2.410416e-08
1 2 1 1 1 total 5.587366e-07 3.382787e-08
3 2 2 1 1 total 5.232209e-07 2.482800e-08
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.026032 0.001172
2 1 2 1 1 total 0.025542 0.001086
1 2 1 1 1 total 0.029121 0.001254
3 2 2 1 1 total 0.025271 0.001329
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.027090 0.002808
2 1 2 1 1 1 total 0.031522 0.004261
1 2 1 1 1 1 total 0.021855 0.001457
3 2 2 1 1 1 total 0.028262 0.002358
mesh 1 group in nuclide mean std. dev.
x y surf
3 1 1 x-max in 1 total 4.520 0.122262
2 1 1 x-max out 1 total 4.486 0.128841
3 1 1 x-max in 1 total 4.280 0.164469
2 1 1 x-max out 1 total 4.250 0.107135
1 1 1 x-min in 1 total 0.000 0.000000
0 1 1 x-min out 1 total 0.000 0.000000
7 1 1 y-max in 1 total 4.406 0.116576
6 1 1 y-max out 1 total 4.436 0.064637
7 1 1 y-max in 1 total 4.364 0.105622
6 1 1 y-max out 1 total 4.412 0.158019
5 1 1 y-min in 1 total 0.000 0.000000
4 1 1 y-min out 1 total 0.000 0.000000
19 1 2 x-max in 1 total 4.460 0.122752
18 1 2 x-max out 1 total 4.480 0.162721
19 1 2 x-max in 1 total 4.388 0.102470
18 1 2 x-max out 1 total 4.428 0.140228
17 1 2 x-min in 1 total 0.000 0.000000
16 1 2 x-min out 1 total 0.000 0.000000
23 1 2 y-max in 1 total 0.000 0.000000
22 1 2 y-max out 1 total 0.000 0.000000
21 1 2 y-min in 1 total 4.436 0.064637
20 1 2 y-min out 1 total 4.406 0.116576
21 1 2 y-min in 1 total 4.412 0.158019
20 1 2 y-min out 1 total 4.364 0.105622
11 2 1 x-max in 1 total 0.000 0.000000
10 2 1 x-max out 1 total 0.000 0.000000
9 2 1 x-min in 1 total 4.486 0.128841
8 2 1 x-min out 1 total 4.520 0.122262
15 2 1 y-max in 1 total 4.548 0.156691
14 2 1 y-max out 1 total 4.526 0.166571
9 2 1 x-min in 1 total 4.250 0.107135
8 2 1 x-min out 1 total 4.280 0.164469
15 2 1 y-max in 1 total 4.402 0.182565
14 2 1 y-max out 1 total 4.346 0.148189
13 2 1 y-min in 1 total 0.000 0.000000
12 2 1 y-min out 1 total 0.000 0.000000
27 2 2 x-max in 1 total 0.000 0.000000
26 2 2 x-max out 1 total 0.000 0.000000
25 2 2 x-min in 1 total 4.480 0.162721
24 2 2 x-min out 1 total 4.460 0.122752
25 2 2 x-min in 1 total 4.428 0.140228
24 2 2 x-min out 1 total 4.388 0.102470
31 2 2 y-max in 1 total 0.000 0.000000
30 2 2 y-max out 1 total 0.000 0.000000
29 2 2 y-min in 1 total 4.526 0.166571
28 2 2 y-min out 1 total 4.548 0.156691
29 2 2 y-min in 1 total 4.346 0.148189
28 2 2 y-min out 1 total 4.402 0.182565
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.931945 0.045510
2 1 2 1 1 total 0.962029 0.072431
1 2 1 1 1 total 0.971983 0.071094
3 2 2 1 1 total 0.930013 0.102254
0 1 1 1 1 total 0.950616 0.095874
2 1 2 1 1 total 0.932532 0.086323
1 2 1 1 1 total 0.885723 0.041074
3 2 2 1 1 total 0.951783 0.101570
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.931945 0.045510
2 1 2 1 1 total 0.961685 0.072418
1 2 1 1 1 total 0.971983 0.071094
3 2 2 1 1 total 0.930013 0.102254
0 1 1 1 1 total 0.950616 0.095874
2 1 2 1 1 total 0.932532 0.086323
1 2 1 1 1 total 0.885723 0.041074
3 2 2 1 1 total 0.951783 0.101570
mesh 1 delayedgroup group in nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.000006 3.699363e-07
1 1 1 1 2 1 total 0.000030 1.914853e-06
2 1 1 1 3 1 total 0.000029 1.834339e-06
3 1 1 1 4 1 total 0.000068 4.149880e-06
4 1 1 1 5 1 total 0.000030 1.769320e-06
5 1 1 1 6 1 total 0.000013 7.382097e-07
12 1 2 1 1 1 total 0.000006 4.767315e-07
13 1 2 1 2 1 total 0.000030 2.471571e-06
14 1 2 1 3 1 total 0.000029 2.368041e-06
15 1 2 1 4 1 total 0.000068 5.351482e-06
16 1 2 1 5 1 total 0.000030 2.259042e-06
17 1 2 1 6 1 total 0.000013 9.436237e-07
6 2 1 1 1 1 total 0.000005 6.400406e-07
7 2 1 1 2 1 total 0.000029 3.309040e-06
8 2 1 1 3 1 total 0.000029 3.163385e-06
9 2 1 1 4 1 total 0.000067 7.114281e-06
10 2 1 1 5 1 total 0.000030 2.951164e-06
11 2 1 1 6 1 total 0.000012 1.234794e-06
18 2 2 1 1 1 total 0.000006 5.212824e-07
19 2 2 1 2 1 total 0.000030 2.712206e-06
20 2 2 1 3 1 total 0.000029 2.604912e-06
21 2 2 1 4 1 total 0.000068 5.914482e-06
22 2 2 1 5 1 total 0.000030 2.531950e-06
23 2 2 1 6 1 total 0.000013 1.056326e-06
0 1 1 1 1 1 total 0.000006 2.679142e-07
1 1 1 1 2 1 total 0.000032 1.417723e-06
2 1 1 1 3 1 total 0.000031 1.376260e-06
3 1 1 1 4 1 total 0.000072 3.185580e-06
4 1 1 1 5 1 total 0.000032 1.433425e-06
5 1 1 1 6 1 total 0.000013 5.956400e-07
12 1 2 1 1 1 total 0.000006 2.486865e-07
13 1 2 1 2 1 total 0.000031 1.323941e-06
14 1 2 1 3 1 total 0.000030 1.292803e-06
15 1 2 1 4 1 total 0.000071 3.032740e-06
16 1 2 1 5 1 total 0.000031 1.426193e-06
17 1 2 1 6 1 total 0.000013 5.903673e-07
6 2 1 1 1 1 total 0.000007 2.871910e-07
7 2 1 1 2 1 total 0.000035 1.501590e-06
8 2 1 1 3 1 total 0.000034 1.448170e-06
9 2 1 1 4 1 total 0.000079 3.318195e-06
10 2 1 1 5 1 total 0.000035 1.465737e-06
11 2 1 1 6 1 total 0.000015 6.097547e-07
18 2 2 1 1 1 total 0.000006 3.042761e-07
19 2 2 1 2 1 total 0.000031 1.603780e-06
20 2 2 1 3 1 total 0.000030 1.553523e-06
21 2 2 1 4 1 total 0.000070 3.583849e-06
22 2 2 1 5 1 total 0.000031 1.602620e-06
23 2 2 1 6 1 total 0.000013 6.662067e-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 0.0 0.000000
2 1 1 1 3 1 total 0.0 0.000000
3 1 1 1 4 1 total 1.0 1.414214
4 1 1 1 5 1 total 1.0 1.414214
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 0.0 0.000000
16 1 2 1 5 1 total 0.0 0.000000
17 1 2 1 6 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 0.0 0.000000
9 2 1 1 4 1 total 0.0 0.000000
10 2 1 1 5 1 total 0.0 0.000000
11 2 1 1 6 1 total 0.0 0.000000
18 2 2 1 1 1 total 0.0 0.000000
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 0.0 0.000000
22 2 2 1 5 1 total 0.0 0.000000
23 2 2 1 6 1 total 0.0 0.000000
0 1 1 1 1 1 total 0.0 0.0
1 1 1 1 2 1 total 0.0 0.0
2 1 1 1 3 1 total 0.0 0.0
3 1 1 1 4 1 total 0.0 0.0
4 1 1 1 5 1 total 0.0 0.0
5 1 1 1 6 1 total 0.0 0.0
12 1 2 1 1 1 total 0.0 0.0
13 1 2 1 2 1 total 0.0 0.0
14 1 2 1 3 1 total 0.0 0.0
15 1 2 1 4 1 total 0.0 0.0
16 1 2 1 5 1 total 0.0 0.0
17 1 2 1 6 1 total 0.0 0.0
6 2 1 1 1 1 total 0.0 0.0
7 2 1 1 2 1 total 0.0 0.0
8 2 1 1 3 1 total 0.0 0.0
9 2 1 1 4 1 total 0.0 0.0
10 2 1 1 5 1 total 0.0 0.0
11 2 1 1 6 1 total 0.0 0.0
18 2 2 1 1 1 total 0.0 0.0
19 2 2 1 2 1 total 0.0 0.0
20 2 2 1 3 1 total 0.0 0.0
21 2 2 1 4 1 total 0.0 0.0
22 2 2 1 5 1 total 0.0 0.0
23 2 2 1 6 1 total 0.0 0.0
mesh 1 delayedgroup group in nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.000227 0.000021
1 1 1 1 2 1 total 0.001219 0.000109
2 1 1 1 3 1 total 0.001191 0.000106
3 1 1 1 4 1 total 0.002775 0.000243
4 1 1 1 5 1 total 0.001249 0.000106
5 1 1 1 6 1 total 0.000519 0.000044
12 1 2 1 1 1 total 0.000227 0.000026
13 1 2 1 2 1 total 0.001216 0.000140
14 1 2 1 3 1 total 0.001187 0.000135
15 1 2 1 4 1 total 0.002760 0.000309
16 1 2 1 5 1 total 0.001236 0.000135
17 1 2 1 6 1 total 0.000514 0.000056
6 2 1 1 1 1 total 0.000227 0.000037
7 2 1 1 2 1 total 0.001215 0.000194
8 2 1 1 3 1 total 0.001184 0.000187
9 2 1 1 4 1 total 0.002749 0.000428
10 2 1 1 5 1 total 0.001227 0.000185
11 2 1 1 6 1 total 0.000511 0.000077
18 2 2 1 1 1 total 0.000227 0.000027
19 2 2 1 2 1 total 0.001215 0.000145
20 2 2 1 3 1 total 0.001185 0.000140
21 2 2 1 4 1 total 0.002752 0.000321
22 2 2 1 5 1 total 0.001229 0.000140
23 2 2 1 6 1 total 0.000511 0.000058
0 1 1 1 1 1 total 0.000227 0.000011
1 1 1 1 2 1 total 0.001212 0.000058
2 1 1 1 3 1 total 0.001180 0.000057
3 1 1 1 4 1 total 0.002734 0.000131
4 1 1 1 5 1 total 0.001215 0.000059
5 1 1 1 6 1 total 0.000506 0.000024
12 1 2 1 1 1 total 0.000227 0.000010
13 1 2 1 2 1 total 0.001213 0.000052
14 1 2 1 3 1 total 0.001182 0.000051
15 1 2 1 4 1 total 0.002744 0.000120
16 1 2 1 5 1 total 0.001223 0.000056
17 1 2 1 6 1 total 0.000509 0.000023
6 2 1 1 1 1 total 0.000227 0.000013
7 2 1 1 2 1 total 0.001207 0.000067
8 2 1 1 3 1 total 0.001173 0.000065
9 2 1 1 4 1 total 0.002710 0.000150
10 2 1 1 5 1 total 0.001195 0.000066
11 2 1 1 6 1 total 0.000498 0.000027
18 2 2 1 1 1 total 0.000227 0.000014
19 2 2 1 2 1 total 0.001212 0.000073
20 2 2 1 3 1 total 0.001180 0.000071
21 2 2 1 4 1 total 0.002740 0.000163
22 2 2 1 5 1 total 0.001221 0.000073
23 2 2 1 6 1 total 0.000508 0.000030
mesh 1 delayedgroup nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.013357 0.001250
1 1 1 1 2 total 0.032589 0.002884
2 1 1 1 3 total 0.121105 0.010300
3 1 1 1 4 total 0.306138 0.024490
4 1 1 1 5 total 0.862757 0.061312
5 1 1 1 6 total 2.897868 0.207582
12 1 2 1 1 total 0.013356 0.001625
13 1 2 1 2 total 0.032597 0.003869
14 1 2 1 3 total 0.121088 0.014125
15 1 2 1 4 total 0.305963 0.034783
16 1 2 1 5 total 0.862125 0.093434
17 1 2 1 6 total 2.895716 0.314825
6 2 1 1 1 total 0.013355 0.002181
7 2 1 1 2 total 0.032604 0.005141
8 2 1 1 3 total 0.121074 0.018615
9 2 1 1 4 total 0.305828 0.045169
10 2 1 1 5 total 0.861633 0.116817
11 2 1 1 6 total 2.894042 0.394847
18 2 2 1 1 total 0.013355 0.001620
19 2 2 1 2 total 0.032602 0.003798
20 2 2 1 3 total 0.121077 0.013715
21 2 2 1 4 total 0.305857 0.033214
22 2 2 1 5 total 0.861740 0.086567
23 2 2 1 6 total 2.894407 0.292238
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 0.000172 0.000172
4 1 1 1 5 1 1 total 0.000192 0.000192
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 0.000000 0.000000
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 0.000000 0.000000
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 0.000186 0.000186
20 2 2 1 3 1 1 total 0.000000 0.000000
21 2 2 1 4 1 1 total 0.000000 0.000000
22 2 2 1 5 1 1 total 0.000000 0.000000
23 2 2 1 6 1 1 total 0.000000 0.000000
0 1 1 1 1 total 0.013354 0.000674
1 1 1 1 2 total 0.032612 0.001720
2 1 1 1 3 total 0.121057 0.006579
3 1 1 1 4 total 0.305656 0.017398
4 1 1 1 5 total 0.861000 0.053768
5 1 1 1 6 total 2.891889 0.179407
12 1 2 1 1 total 0.013354 0.000497
13 1 2 1 2 total 0.032605 0.001150
14 1 2 1 3 total 0.121071 0.004175
15 1 2 1 4 total 0.305792 0.010484
16 1 2 1 5 total 0.861500 0.032627
17 1 2 1 6 total 2.893589 0.108347
6 2 1 1 1 total 0.013352 0.000663
7 2 1 1 2 total 0.032625 0.001570
8 2 1 1 3 total 0.121029 0.005721
9 2 1 1 4 total 0.305375 0.014144
10 2 1 1 5 total 0.859955 0.039608
11 2 1 1 6 total 2.888337 0.132844
18 2 2 1 1 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

80
tests/regression_tests/mgxs_library_correction/results_true.dat
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@ -1,60 +1,60 @@
material group in group out nuclide mean std. dev.
3 1 1 1 total 0.353219 0.011858
2 1 1 2 total 0.000876 0.000554
3 1 1 1 total 0.342252 0.023795
2 1 1 2 total 0.000695 0.000327
1 1 2 1 total 0.000000 0.000000
0 1 2 2 total 0.367572 0.024736
0 1 2 2 total 0.388426 0.020840
material group in group out nuclide mean std. dev.
3 1 1 1 total 0.353488 0.011854
2 1 1 2 total 0.000876 0.000554
3 1 1 1 total 0.342252 0.023795
2 1 1 2 total 0.000695 0.000327
1 1 2 1 total 0.000000 0.000000
0 1 2 2 total 0.367572 0.024736
0 1 2 2 total 0.388426 0.020840
material group in group out nuclide mean std. dev.
3 1 1 1 total 0.350138 0.017141
2 1 1 2 total 0.000869 0.000551
3 1 1 1 total 0.343021 0.031016
2 1 1 2 total 0.000697 0.000329
1 1 2 1 total 0.000000 0.000000
0 1 2 2 total 0.378130 0.046663
0 1 2 2 total 0.376544 0.025156
material group in group out nuclide mean std. dev.
3 1 1 1 total 0.350406 0.018910
2 1 1 2 total 0.000869 0.000953
3 1 1 1 total 0.343021 0.039761
2 1 1 2 total 0.000697 0.000566
1 1 2 1 total 0.000000 0.000000
0 1 2 2 total 0.378130 0.057580
0 1 2 2 total 0.376544 0.032140
material group in group out nuclide mean std. dev.
3 2 1 1 total 0.272853 0.018051
2 2 1 2 total 0.000486 0.000486
3 2 1 1 total 0.271174 0.022374
2 2 1 2 total 0.000000 0.000000
1 2 2 1 total 0.000000 0.000000
0 2 2 2 total 0.287308 0.063393
0 2 2 2 total 0.295401 0.032831
material group in group out nuclide mean std. dev.
3 2 1 1 total 0.272853 0.018051
2 2 1 2 total 0.000486 0.000486
3 2 1 1 total 0.271174 0.022374
2 2 1 2 total 0.000000 0.000000
1 2 2 1 total 0.000000 0.000000
0 2 2 2 total 0.287308 0.063393
0 2 2 2 total 0.295401 0.032831
material group in group out nuclide mean std. dev.
3 2 1 1 total 0.273465 0.021487
2 2 1 2 total 0.000487 0.000487
3 2 1 1 total 0.264654 0.028288
2 2 1 2 total 0.000000 0.000000
1 2 2 1 total 0.000000 0.000000
0 2 2 2 total 0.294966 0.065882
0 2 2 2 total 0.295178 0.032530
material group in group out nuclide mean std. dev.
3 2 1 1 total 0.273465 0.025834
2 2 1 2 total 0.000487 0.000843
3 2 1 1 total 0.264654 0.036081
2 2 1 2 total 0.000000 0.000000
1 2 2 1 total 0.000000 0.000000
0 2 2 2 total 0.294966 0.089321
0 2 2 2 total 0.295178 0.044676
material group in group out nuclide mean std. dev.
3 3 1 1 total 0.262301 0.012948
2 3 1 2 total 0.029783 0.000974
1 3 2 1 total 0.000000 0.000000
0 3 2 2 total 1.418218 0.082199
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
material group in group out nuclide mean std. dev.
3 3 1 1 total 0.262301 0.012948
2 3 1 2 total 0.029783 0.000974
1 3 2 1 total 0.000000 0.000000
0 3 2 2 total 1.418218 0.082199
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
material group in group out nuclide mean std. dev.
3 3 1 1 total 0.261486 0.022535
2 3 1 2 total 0.029746 0.001063
1 3 2 1 total 0.000000 0.000000
0 3 2 2 total 1.432958 0.149985
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
material group in group out nuclide mean std. dev.
3 3 1 1 total 0.261486 0.026061
2 3 1 2 total 0.029746 0.001468
1 3 2 1 total 0.000000 0.000000
0 3 2 2 total 1.432958 0.178757
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

126
tests/regression_tests/mgxs_library_distribcell/results_true.dat
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@ -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 0.450382 0.010238
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
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 0.413436 0.011349
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 0.413276 0.011357
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 0.06484 0.002514
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
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 0.064761 0.002514
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
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 0.028638 0.002713
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
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 0.036203 0.001449
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
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 0.089088 0.003536
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
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
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 7.011996e+06 280281.488034
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
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 0.385542 0.008566
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 0.386602 0.013718
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
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 0.386439 0.013702
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 0.036946 0.004896
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 0.016245 0.003818
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 0.005544 0.003119
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
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 0.386602 0.013718
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 0.037106 0.004917
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 0.016398 0.003839
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 0.005688 0.003138
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 1.000421 0.036026
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 0.083975 0.005759
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
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 0.035985
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 0.385542 0.016305
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 0.036860 0.004958
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 0.016207 0.003827
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 0.005531 0.003114
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 0.385704 0.021424
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 0.036876 0.005135
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 0.016214 0.003873
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 0.005533 0.003122
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 0.090473
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 0.090571
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 4.896406e-07 2.047455e-08
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 2.168461e-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 0.088451 0.003512
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
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 0.082789 0.005683
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
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 0.806252 0.022131
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
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 0.806564 0.022166
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
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 0.000020 8.047454e-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 0.000108 4.184372e-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 0.000106 4.014315e-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 0.000246 9.085237e-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 0.000111 3.832957e-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 0.000046 1.601490e-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 0.000021 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
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 1.0 1.414214
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 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 1.0 0.708218
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 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 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
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 0.001216 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 0.001187 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 0.002764 0.000138
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 0.001241 0.000060
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 0.000516 0.000025
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
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 0.013356 0.000697
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 0.032593 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 0.121097 0.005963
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 0.306056 0.014519
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 0.862463 0.037889
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 2.896867 0.127967
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
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 0.000189 0.000189
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 0.000000 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 0.000807 0.000405
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 0.000191 0.000191
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
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

274
tests/regression_tests/mgxs_library_hdf5/results_true.dat
View file

@ -1,201 +1,201 @@
domain=1 type=total
[5.62093429e-01 1.47762208e+00]
[1.25813379e-02 1.33969236e-01]
[5.52629207e-01 1.46792426e+00]
[2.73983948e-02 9.30468557e-02]
domain=1 type=transport
[3.20646457e-01 1.15112225e+00]
[1.43813685e-02 1.38168210e-01]
[3.09650231e-01 1.14528468e+00]
[2.96126059e-02 1.01957125e-01]
domain=1 type=nu-transport
[3.20646457e-01 1.15112225e+00]
[1.43813685e-02 1.38168210e-01]
[3.09650231e-01 1.14528468e+00]
[2.96126059e-02 1.01957125e-01]
domain=1 type=absorption
[9.18204614e-03 9.50890834e-02]
[1.02291781e-03 9.51211716e-03]
[7.90251362e-03 9.52195503e-02]
[7.77996866e-04 5.32017792e-03]
domain=1 type=reduced absorption
[9.15806809e-03 9.50890834e-02]
[1.02286279e-03 9.51211716e-03]
[7.88836875e-03 9.52195503e-02]
[7.77877367e-04 5.32017792e-03]
domain=1 type=capture
[6.76780024e-03 4.04282690e-02]
[1.01848835e-03 8.89313901e-03]
[5.66271991e-03 4.03380329e-02]
[7.65494411e-04 4.41129849e-03]
domain=1 type=fission
[2.41424590e-03 5.46608144e-02]
[4.85861462e-05 5.74352403e-03]
[2.23979371e-03 5.48815174e-02]
[1.44808204e-04 3.21965557e-03]
domain=1 type=nu-fission
[6.13719950e-03 1.33192007e-01]
[1.12501202e-04 1.39952450e-02]
[5.70078167e-03 1.33729794e-01]
[3.71908758e-04 7.84533474e-03]
domain=1 type=kappa-fission
[4.70267044e+05 1.05716969e+07]
[9.26434576e+03 1.11082859e+06]
[4.36283087e+05 1.06143820e+07]
[2.81939099e+04 6.22698786e+05]
domain=1 type=scatter
[5.52911383e-01 1.38253299e+00]
[1.21249866e-02 1.25146938e-01]
[5.44726693e-01 1.37270471e+00]
[2.67443307e-02 8.86578418e-02]
domain=1 type=nu-scatter
[5.53262132e-01 1.38285128e+00]
[1.67013167e-02 1.47879104e-01]
[5.46058885e-01 1.38608802e+00]
[2.72733439e-02 9.59957737e-02]
domain=1 type=scatter matrix
[[[5.38262098e-01 2.41446972e-01 9.56713637e-02 1.27736375e-02]
[1.50000342e-02 3.45918070e-03 -2.20959984e-03 -2.07635400e-03]]
[[[5.25081070e-01 2.42978975e-01 9.65459393e-02 8.62265123e-03]
[2.09778151e-02 5.67750504e-03 -1.86093418e-03 -1.63034937e-03]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.38285128e+00 3.05915919e-01 2.70982432e-02 -1.60336325e-02]]]
[[[1.67044118e-02 6.96661310e-03 4.42653888e-03 5.36446548e-03]
[2.18467018e-03 6.35479378e-04 8.96740238e-04 4.72822150e-04]]
[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]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.47879104e-01 3.12865012e-02 2.09135204e-02 2.10640949e-02]]]
[9.59957737e-02 3.98634629e-02 1.79245433e-02 2.53788407e-02]]]
domain=1 type=nu-scatter matrix
[[[5.38262098e-01 2.41446972e-01 9.56713637e-02 1.27736375e-02]
[1.50000342e-02 3.45918070e-03 -2.20959984e-03 -2.07635400e-03]]
[[[5.25081070e-01 2.42978975e-01 9.65459393e-02 8.62265123e-03]
[2.09778151e-02 5.67750504e-03 -1.86093418e-03 -1.63034937e-03]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.38285128e+00 3.05915919e-01 2.70982432e-02 -1.60336325e-02]]]
[[[1.67044118e-02 6.96661310e-03 4.42653888e-03 5.36446548e-03]
[2.18467018e-03 6.35479378e-04 8.96740238e-04 4.72822150e-04]]
[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]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.47879104e-01 3.12865012e-02 2.09135204e-02 2.10640949e-02]]]
[9.59957737e-02 3.98634629e-02 1.79245433e-02 2.53788407e-02]]]
domain=1 type=multiplicity matrix
[[1.00000000e+00 1.00000000e+00]
[0.00000000e+00 1.00000000e+00]]
[[2.96568009e-02 2.03415491e-01]
[0.00000000e+00 1.02759493e-01]]
[[4.49973217e-02 9.94834121e-02]
[0.00000000e+00 8.90267353e-02]]
domain=1 type=nu-fission matrix
[[4.80904641e-03 0.00000000e+00]
[1.46971102e-01 0.00000000e+00]]
[[7.56765200e-04 0.00000000e+00]
[1.60726822e-02 0.00000000e+00]]
[[6.79725552e-03 0.00000000e+00]
[1.34226308e-01 0.00000000e+00]]
[[1.39232734e-03 0.00000000e+00]
[1.55126210e-02 0.00000000e+00]]
domain=1 type=scatter probability matrix
[[9.72888016e-01 2.71119843e-02]
[[9.61583236e-01 3.84167637e-02]
[0.00000000e+00 1.00000000e+00]]
[[2.87160386e-02 3.94014457e-03]
[0.00000000e+00 1.02759493e-01]]
[[4.25251594e-02 2.94881301e-03]
[0.00000000e+00 8.90267353e-02]]
domain=1 type=consistent scatter matrix
[[[5.37920858e-01 2.41293903e-01 9.56107113e-02 1.27655394e-02]
[1.49905247e-02 3.45698770e-03 -2.20819902e-03 -2.07503766e-03]]
[[[5.23800056e-01 2.42386192e-01 9.63104011e-02 8.60161499e-03]
[2.09266366e-02 5.66365392e-03 -1.85639416e-03 -1.62637189e-03]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.38253299e+00 3.05845506e-01 2.70920060e-02 -1.60299421e-02]]]
[[[1.97798945e-02 8.43331598e-03 4.80888930e-03 5.36697350e-03]
[2.20321323e-03 6.38726086e-04 8.97229401e-04 4.74291433e-04]]
[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]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.89328242e-01 4.07787000e-02 2.10367544e-02 2.11038436e-02]]]
[1.50979688e-01 4.66032426e-02 1.81833349e-02 2.51354735e-02]]]
domain=1 type=consistent nu-scatter matrix
[[[5.37920858e-01 2.41293903e-01 9.56107113e-02 1.27655394e-02]
[1.49905247e-02 3.45698770e-03 -2.20819902e-03 -2.07503766e-03]]
[[[5.23800056e-01 2.42386192e-01 9.63104011e-02 8.60161499e-03]
[2.09266366e-02 5.66365392e-03 -1.85639416e-03 -1.62637189e-03]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[1.38253299e+00 3.05845506e-01 2.70920060e-02 -1.60299421e-02]]]
[[[2.54114701e-02 1.10602545e-02 5.58260879e-03 5.38030958e-03]
[3.76196879e-03 9.49983195e-04 1.00338675e-03 6.34914473e-04]]
[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]]
[[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]
[2.36703634e-01 5.14845104e-02 2.12201666e-02 2.11680319e-02]]]
[1.94240879e-01 5.32698778e-02 1.86408495e-02 2.51372940e-02]]]
domain=1 type=chi
[1.00000000e+00 0.00000000e+00]
[8.07756455e-02 0.00000000e+00]
[1.03333203e-01 0.00000000e+00]
domain=1 type=chi-prompt
[1.00000000e+00 0.00000000e+00]
[8.07424611e-02 0.00000000e+00]
[1.03333203e-01 0.00000000e+00]
domain=1 type=inverse-velocity
[5.93309775e-08 2.99151502e-06]
[3.31163250e-09 2.75469881e-07]
[5.72461488e-08 3.00999716e-06]
[2.80644406e-09 1.80993425e-07]
domain=1 type=prompt-nu-fission
[6.07803967e-03 1.32325631e-01]
[1.12229103e-04 1.39042100e-02]
[5.64594959e-03 1.32859920e-01]
[3.68364598e-04 7.79430310e-03]
domain=1 type=prompt-nu-fission matrix
[[4.80904641e-03 0.00000000e+00]
[1.44441596e-01 0.00000000e+00]]
[[7.56765200e-04 0.00000000e+00]
[1.55945206e-02 0.00000000e+00]]
[[6.79725552e-03 0.00000000e+00]
[1.34226308e-01 0.00000000e+00]]
[[1.39232734e-03 0.00000000e+00]
[1.55126210e-02 0.00000000e+00]]
domain=1 type=current
[[[0.00000000e+00 0.00000000e+00 3.87200000e+00 3.85800000e+00
0.00000000e+00 0.00000000e+00 3.79800000e+00 3.79400000e+00]
[0.00000000e+00 0.00000000e+00 6.14000000e-01 6.62000000e-01
0.00000000e+00 0.00000000e+00 6.38000000e-01 6.12000000e-01]]
[[[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]]
[[3.85800000e+00 3.87200000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 3.87000000e+00 3.85400000e+00]
[6.62000000e-01 6.14000000e-01 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 6.56000000e-01 6.94000000e-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]]
[[0.00000000e+00 0.00000000e+00 3.77200000e+00 3.82200000e+00
3.79400000e+00 3.79800000e+00 0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00 7.08000000e-01 6.38000000e-01
6.12000000e-01 6.38000000e-01 0.00000000e+00 0.00000000e+00]]
[[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]]
[[3.82200000e+00 3.77200000e+00 0.00000000e+00 0.00000000e+00
3.85400000e+00 3.87000000e+00 0.00000000e+00 0.00000000e+00]
[6.38000000e-01 7.08000000e-01 0.00000000e+00 0.00000000e+00
6.94000000e-01 6.56000000e-01 0.00000000e+00 0.00000000e+00]]]
[[[0.00000000e+00 0.00000000e+00 1.14952164e-01 1.04661359e-01
0.00000000e+00 0.00000000e+00 5.36097006e-02 1.14873844e-01]
[0.00000000e+00 0.00000000e+00 5.81893461e-02 6.31981012e-02
0.00000000e+00 0.00000000e+00 3.61109402e-02 1.98494332e-02]]
[[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]]
[[1.04661359e-01 1.14952164e-01 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 1.52643375e-01 1.35003704e-01]
[6.31981012e-02 5.81893461e-02 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 6.66783323e-02 7.95361553e-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]]
[[0.00000000e+00 0.00000000e+00 1.58946532e-01 1.20971071e-01
1.14873844e-01 5.36097006e-02 0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00 3.48425028e-02 2.08326667e-02
1.98494332e-02 3.61109402e-02 0.00000000e+00 0.00000000e+00]]
[[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]]
[[1.20971071e-01 1.58946532e-01 0.00000000e+00 0.00000000e+00
1.35003704e-01 1.52643375e-01 0.00000000e+00 0.00000000e+00]
[2.08326667e-02 3.48425028e-02 0.00000000e+00 0.00000000e+00
7.95361553e-02 6.66783323e-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]]]
domain=1 type=diffusion-coefficient
[1.03956656e+00 2.89572488e-01]
[4.66257756e-02 3.47571359e-02]
[1.07648340e+00 2.91048451e-01]
[1.02946730e-01 2.59101197e-02]
domain=1 type=nu-diffusion-coefficient
[1.03956656e+00 2.89572488e-01]
[4.66257756e-02 3.47571359e-02]
[1.07648340e+00 2.91048451e-01]
[1.02946730e-01 2.59101197e-02]
domain=1 type=delayed-nu-fission
[[1.37840363e-06 3.03296462e-05]
[8.45663047e-06 1.56552364e-04]
[8.84043266e-06 1.49458552e-04]
[2.28234463e-05 3.35098665e-04]
[1.25147617e-05 1.37385990e-04]
[5.13410858e-06 5.75504990e-05]]
[[2.55826273e-08 3.18690909e-06]
[1.59619691e-07 1.64498503e-05]
[2.08725713e-07 1.57044628e-05]
[7.35913253e-07 3.52107280e-05]
[6.08970534e-07 1.44359288e-05]
[2.44376821e-07 6.04715887e-06]]
[[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]]
domain=1 type=chi-delayed
[[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]
[1.00000000e+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]
[1.41421356e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]]
domain=1 type=beta
[[2.24598146e-04 2.27713712e-04]
[1.37792986e-03 1.17538858e-03]
[1.44046689e-03 1.12212854e-03]
[3.71886987e-03 2.51590672e-03]
[2.03916489e-03 1.03148825e-03]
[8.36555595e-04 4.32086733e-04]]
[[2.89454288e-06 2.65002712e-05]
[1.83788053e-05 1.36786298e-04]
[2.80459046e-05 1.30588139e-04]
[1.09140523e-04 2.92789605e-04]
[9.54156078e-05 1.20039834e-04]
[3.82194001e-05 5.02842563e-05]]
[[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]]
domain=1 type=decay-rate
[1.33568264e-02 3.25888950e-02 1.21105369e-01 3.06137651e-01
8.62756682e-01 2.89786766e+00]
[1.25011470e-03 2.88396059e-03 1.03002481e-02 2.44903689e-02
6.13119717e-02 2.07581680e-01]
[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]
domain=1 type=delayed-nu-fission matrix
[[[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]]
@ -207,10 +207,10 @@ domain=1 type=delayed-nu-fission matrix
[0.00000000e+00 0.00000000e+00]]
[[0.00000000e+00 0.00000000e+00]
[1.19201367e-03 0.00000000e+00]]
[0.00000000e+00 0.00000000e+00]]
[[0.00000000e+00 0.00000000e+00]
[1.33749216e-03 0.00000000e+00]]
[0.00000000e+00 0.00000000e+00]]
[[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]]]
@ -224,10 +224,10 @@ domain=1 type=delayed-nu-fission matrix
[0.00000000e+00 0.00000000e+00]]
[[0.00000000e+00 0.00000000e+00]
[1.19567703e-03 0.00000000e+00]]
[0.00000000e+00 0.00000000e+00]]
[[0.00000000e+00 0.00000000e+00]
[1.34160260e-03 0.00000000e+00]]
[0.00000000e+00 0.00000000e+00]]
[[0.00000000e+00 0.00000000e+00]
[0.00000000e+00 0.00000000e+00]]]

672
tests/regression_tests/mgxs_library_histogram/results_true.dat
View file

@ -1,25 +1,25 @@
material group in group out mu bin nuclide mean std. dev.
33 1 1 1 1 total 0.028385 0.002919
34 1 1 1 2 total 0.031890 0.001548
35 1 1 1 3 total 0.027684 0.002596
36 1 1 1 4 total 0.035920 0.003337
37 1 1 1 5 total 0.034343 0.001897
38 1 1 1 6 total 0.032591 0.002289
39 1 1 1 7 total 0.033467 0.002209
40 1 1 1 8 total 0.031714 0.002398
41 1 1 1 9 total 0.033467 0.003343
42 1 1 1 10 total 0.041001 0.002362
43 1 1 1 11 total 0.060801 0.003580
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 0.000350 0.000351
24 1 1 2 3 total 0.000175 0.000175
25 1 1 2 4 total 0.000000 0.000000
26 1 1 2 5 total 0.000175 0.000175
23 1 1 2 2 total 0.000174 0.000174
24 1 1 2 3 total 0.000348 0.000213
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
28 1 1 2 7 total 0.000000 0.000000
29 1 1 2 8 total 0.000000 0.000000
30 1 1 2 9 total 0.000000 0.000000
31 1 1 2 10 total 0.000175 0.000175
31 1 1 2 10 total 0.000000 0.000000
32 1 1 2 11 total 0.000000 0.000000
11 1 2 1 1 total 0.000000 0.000000
12 1 2 1 2 total 0.000000 0.000000
@ -32,39 +32,39 @@
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 0.023599 0.005270
1 1 2 2 2 total 0.036471 0.008401
2 1 2 2 3 total 0.034325 0.003271
3 1 2 2 4 total 0.030035 0.003674
4 1 2 2 5 total 0.039688 0.001478
5 1 2 2 6 total 0.033253 0.005499
6 1 2 2 7 total 0.039688 0.004725
7 1 2 2 8 total 0.031107 0.006458
8 1 2 2 9 total 0.031107 0.005996
9 1 2 2 10 total 0.052560 0.005543
10 1 2 2 11 total 0.033253 0.002688
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
material group in group out mu bin nuclide mean std. dev.
33 1 1 1 1 total 0.028385 0.002919
34 1 1 1 2 total 0.031890 0.001548
35 1 1 1 3 total 0.027860 0.002738
36 1 1 1 4 total 0.035920 0.003337
37 1 1 1 5 total 0.034343 0.001897
38 1 1 1 6 total 0.032591 0.002289
39 1 1 1 7 total 0.033467 0.002209
40 1 1 1 8 total 0.031714 0.002398
41 1 1 1 9 total 0.033467 0.003343
42 1 1 1 10 total 0.041001 0.002362
43 1 1 1 11 total 0.060801 0.003580
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 0.000350 0.000351
24 1 1 2 3 total 0.000175 0.000175
25 1 1 2 4 total 0.000000 0.000000
26 1 1 2 5 total 0.000175 0.000175
23 1 1 2 2 total 0.000174 0.000174
24 1 1 2 3 total 0.000348 0.000213
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
28 1 1 2 7 total 0.000000 0.000000
29 1 1 2 8 total 0.000000 0.000000
30 1 1 2 9 total 0.000000 0.000000
31 1 1 2 10 total 0.000175 0.000175
31 1 1 2 10 total 0.000000 0.000000
32 1 1 2 11 total 0.000000 0.000000
11 1 2 1 1 total 0.000000 0.000000
12 1 2 1 2 total 0.000000 0.000000
@ -77,39 +77,39 @@
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 0.023599 0.005270
1 1 2 2 2 total 0.036471 0.008401
2 1 2 2 3 total 0.034325 0.003271
3 1 2 2 4 total 0.030035 0.003674
4 1 2 2 5 total 0.039688 0.001478
5 1 2 2 6 total 0.033253 0.005499
6 1 2 2 7 total 0.039688 0.004725
7 1 2 2 8 total 0.031107 0.006458
8 1 2 2 9 total 0.031107 0.005996
9 1 2 2 10 total 0.052560 0.005543
10 1 2 2 11 total 0.033253 0.002688
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
material group in group out mu bin nuclide mean std. dev.
33 1 1 1 1 total 0.028162 0.003056
34 1 1 1 2 total 0.031639 0.001886
35 1 1 1 3 total 0.027466 0.002746
36 1 1 1 4 total 0.035637 0.003533
37 1 1 1 5 total 0.034072 0.002221
38 1 1 1 6 total 0.032334 0.002532
39 1 1 1 7 total 0.033203 0.002475
40 1 1 1 8 total 0.031465 0.002617
41 1 1 1 9 total 0.033203 0.003510
42 1 1 1 10 total 0.040678 0.002734
43 1 1 1 11 total 0.060322 0.004120
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 0.000348 0.000348
24 1 1 2 3 total 0.000174 0.000174
25 1 1 2 4 total 0.000000 0.000000
26 1 1 2 5 total 0.000174 0.000174
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
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
29 1 1 2 8 total 0.000000 0.000000
30 1 1 2 9 total 0.000000 0.000000
31 1 1 2 10 total 0.000174 0.000174
31 1 1 2 10 total 0.000000 0.000000
32 1 1 2 11 total 0.000000 0.000000
11 1 2 1 1 total 0.000000 0.000000
12 1 2 1 2 total 0.000000 0.000000
@ -122,39 +122,39 @@
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 0.024246 0.005837
1 1 2 2 2 total 0.037470 0.009265
2 1 2 2 3 total 0.035266 0.004620
3 1 2 2 4 total 0.030858 0.004684
4 1 2 2 5 total 0.040777 0.003968
5 1 2 2 6 total 0.034164 0.006431
6 1 2 2 7 total 0.040777 0.006083
7 1 2 2 8 total 0.031960 0.007230
8 1 2 2 9 total 0.031960 0.006797
9 1 2 2 10 total 0.054002 0.007483
10 1 2 2 11 total 0.034164 0.004130
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
material group in group out mu bin nuclide mean std. dev.
33 1 1 1 1 total 0.028174 0.003144
34 1 1 1 2 total 0.031653 0.002058
35 1 1 1 3 total 0.027479 0.002838
36 1 1 1 4 total 0.035653 0.003654
37 1 1 1 5 total 0.034088 0.002392
38 1 1 1 6 total 0.032348 0.002668
39 1 1 1 7 total 0.033218 0.002621
40 1 1 1 8 total 0.031479 0.002742
41 1 1 1 9 total 0.033218 0.003616
42 1 1 1 10 total 0.040696 0.002931
43 1 1 1 11 total 0.060349 0.004409
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 0.000348 0.000451
24 1 1 2 3 total 0.000174 0.000225
25 1 1 2 4 total 0.000000 0.000000
26 1 1 2 5 total 0.000174 0.000225
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
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
29 1 1 2 8 total 0.000000 0.000000
30 1 1 2 9 total 0.000000 0.000000
31 1 1 2 10 total 0.000174 0.000225
31 1 1 2 10 total 0.000000 0.000000
32 1 1 2 11 total 0.000000 0.000000
11 1 2 1 1 total 0.000000 0.000000
12 1 2 1 2 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 0.024246 0.006112
1 1 2 2 2 total 0.037470 0.009679
2 1 2 2 3 total 0.035266 0.005319
3 1 2 2 4 total 0.030858 0.005221
4 1 2 2 5 total 0.040777 0.005003
5 1 2 2 6 total 0.034164 0.006919
6 1 2 2 7 total 0.040777 0.006803
7 1 2 2 8 total 0.031960 0.007614
8 1 2 2 9 total 0.031960 0.007205
9 1 2 2 10 total 0.054002 0.008502
10 1 2 2 11 total 0.034164 0.004856
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
material group in group out mu bin nuclide mean std. dev.
33 2 1 1 1 total 0.025262 0.003309
34 2 1 1 2 total 0.023805 0.004083
35 2 1 1 3 total 0.027205 0.001631
36 2 1 1 4 total 0.021376 0.003175
37 2 1 1 5 total 0.017489 0.002412
38 2 1 1 6 total 0.024291 0.002862
39 2 1 1 7 total 0.029634 0.005250
40 2 1 1 8 total 0.025262 0.001228
41 2 1 1 9 total 0.028663 0.003403
42 2 1 1 10 total 0.034493 0.004425
43 2 1 1 11 total 0.052467 0.006227
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
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
@ -199,7 +199,7 @@
28 2 1 2 7 total 0.000000 0.000000
29 2 1 2 8 total 0.000000 0.000000
30 2 1 2 9 total 0.000000 0.000000
31 2 1 2 10 total 0.000486 0.000486
31 2 1 2 10 total 0.000000 0.000000
32 2 1 2 11 total 0.000000 0.000000
11 2 2 1 1 total 0.000000 0.000000
12 2 2 1 2 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 0.032689 0.010313
1 2 2 2 2 total 0.035958 0.011071
2 2 2 2 3 total 0.019614 0.012398
3 2 2 2 4 total 0.022883 0.009072
4 2 2 2 5 total 0.009807 0.009926
5 2 2 2 6 total 0.029420 0.011781
6 2 2 2 7 total 0.032689 0.014602
7 2 2 2 8 total 0.019614 0.006844
8 2 2 2 9 total 0.032689 0.010313
9 2 2 2 10 total 0.022883 0.009072
10 2 2 2 11 total 0.029420 0.005650
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
material group in group out mu bin nuclide mean std. dev.
33 2 1 1 1 total 0.025262 0.003309
34 2 1 1 2 total 0.023805 0.004083
35 2 1 1 3 total 0.027205 0.001631
36 2 1 1 4 total 0.021376 0.003175
37 2 1 1 5 total 0.017489 0.002412
38 2 1 1 6 total 0.024291 0.002862
39 2 1 1 7 total 0.029634 0.005250
40 2 1 1 8 total 0.025262 0.001228
41 2 1 1 9 total 0.028663 0.003403
42 2 1 1 10 total 0.034493 0.004425
43 2 1 1 11 total 0.052467 0.006227
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
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
@ -244,7 +244,7 @@
28 2 1 2 7 total 0.000000 0.000000
29 2 1 2 8 total 0.000000 0.000000
30 2 1 2 9 total 0.000000 0.000000
31 2 1 2 10 total 0.000486 0.000486
31 2 1 2 10 total 0.000000 0.000000
32 2 1 2 11 total 0.000000 0.000000
11 2 2 1 1 total 0.000000 0.000000
12 2 2 1 2 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 0.032689 0.010313
1 2 2 2 2 total 0.035958 0.011071
2 2 2 2 3 total 0.019614 0.012398
3 2 2 2 4 total 0.022883 0.009072
4 2 2 2 5 total 0.009807 0.009926
5 2 2 2 6 total 0.029420 0.011781
6 2 2 2 7 total 0.032689 0.014602
7 2 2 2 8 total 0.019614 0.006844
8 2 2 2 9 total 0.032689 0.010313
9 2 2 2 10 total 0.022883 0.009072
10 2 2 2 11 total 0.029420 0.005650
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
material group in group out mu bin nuclide mean std. dev.
33 2 1 1 1 total 0.025312 0.003469
34 2 1 1 2 total 0.023852 0.004203
35 2 1 1 3 total 0.027259 0.001971
36 2 1 1 4 total 0.021418 0.003297
37 2 1 1 5 total 0.017524 0.002518
38 2 1 1 6 total 0.024339 0.003032
39 2 1 1 7 total 0.029693 0.005395
40 2 1 1 8 total 0.025312 0.001600
41 2 1 1 9 total 0.028719 0.003602
42 2 1 1 10 total 0.034561 0.004648
43 2 1 1 11 total 0.052571 0.006591
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
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
@ -289,7 +289,7 @@
28 2 1 2 7 total 0.000000 0.000000
29 2 1 2 8 total 0.000000 0.000000
30 2 1 2 9 total 0.000000 0.000000
31 2 1 2 10 total 0.000487 0.000487
31 2 1 2 10 total 0.000000 0.000000
32 2 1 2 11 total 0.000000 0.000000
11 2 2 1 1 total 0.000000 0.000000
12 2 2 1 2 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 0.033560 0.010222
1 2 2 2 2 total 0.036916 0.010953
2 2 2 2 3 total 0.020136 0.012619
3 2 2 2 4 total 0.023492 0.009111
4 2 2 2 5 total 0.010068 0.010157
5 2 2 2 6 total 0.030204 0.011837
6 2 2 2 7 total 0.033560 0.014735
7 2 2 2 8 total 0.020136 0.006828
8 2 2 2 9 total 0.033560 0.010222
9 2 2 2 10 total 0.023492 0.009111
10 2 2 2 11 total 0.030204 0.005242
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
material group in group out mu bin nuclide mean std. dev.
33 2 1 1 1 total 0.025312 0.003700
34 2 1 1 2 total 0.023852 0.004373
35 2 1 1 3 total 0.027259 0.002407
36 2 1 1 4 total 0.021418 0.003471
37 2 1 1 5 total 0.017524 0.002670
38 2 1 1 6 total 0.024339 0.003273
39 2 1 1 7 total 0.029693 0.005602
40 2 1 1 8 total 0.025312 0.002052
41 2 1 1 9 total 0.028719 0.003886
42 2 1 1 10 total 0.034561 0.004968
43 2 1 1 11 total 0.052571 0.007110
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
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
@ -334,7 +334,7 @@
28 2 1 2 7 total 0.000000 0.000000
29 2 1 2 8 total 0.000000 0.000000
30 2 1 2 9 total 0.000000 0.000000
31 2 1 2 10 total 0.000487 0.000843
31 2 1 2 10 total 0.000000 0.000000
32 2 1 2 11 total 0.000000 0.000000
11 2 2 1 1 total 0.000000 0.000000
12 2 2 1 2 total 0.000000 0.000000
@ -347,40 +347,40 @@
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 0.033560 0.011889
1 2 2 2 2 total 0.036916 0.012828
2 2 2 2 3 total 0.020136 0.013135
3 2 2 2 4 total 0.023492 0.010054
4 2 2 2 5 total 0.010068 0.010319
5 2 2 2 6 total 0.030204 0.013037
6 2 2 2 7 total 0.033560 0.015937
7 2 2 2 8 total 0.020136 0.007739
8 2 2 2 9 total 0.033560 0.011889
9 2 2 2 10 total 0.023492 0.010054
10 2 2 2 11 total 0.030204 0.007573
0 2 2 2 1 total 0.032230 0.010330
1 2 2 2 2 total 0.018801 0.006077
2 2 2 2 3 total 0.032230 0.010330
3 2 2 2 4 total 0.024172 0.007526
4 2 2 2 5 total 0.013429 0.008733
5 2 2 2 6 total 0.024172 0.006213
6 2 2 2 7 total 0.042973 0.011815
7 2 2 2 8 total 0.032230 0.013373
8 2 2 2 9 total 0.034915 0.008646
9 2 2 2 10 total 0.021486 0.007579
10 2 2 2 11 total 0.018801 0.008544
material group in group out mu bin nuclide mean std. dev.
33 3 1 1 1 total 0.008818 0.001587
34 3 1 1 2 total 0.006389 0.000610
35 3 1 1 3 total 0.007288 0.000775
36 3 1 1 4 total 0.008008 0.001111
37 3 1 1 5 total 0.007828 0.000452
38 3 1 1 6 total 0.011247 0.000473
39 3 1 1 7 total 0.039411 0.002111
40 3 1 1 8 total 0.071443 0.002082
41 3 1 1 9 total 0.115713 0.004165
42 3 1 1 10 total 0.164662 0.005479
43 3 1 1 11 total 0.214060 0.006189
22 3 1 2 1 total 0.000360 0.000090
23 3 1 2 2 total 0.000810 0.000169
24 3 1 2 3 total 0.000810 0.000331
25 3 1 2 4 total 0.001440 0.000332
26 3 1 2 5 total 0.002339 0.000267
27 3 1 2 6 total 0.003149 0.000256
28 3 1 2 7 total 0.004409 0.000601
29 3 1 2 8 total 0.004139 0.000398
30 3 1 2 9 total 0.004769 0.000639
31 3 1 2 10 total 0.004769 0.000453
32 3 1 2 11 total 0.002789 0.000630
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
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 0.000000 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 0.086327 0.004499
1 3 2 2 2 total 0.088278 0.008634
2 3 2 2 3 total 0.108275 0.008710
3 3 2 2 4 total 0.115103 0.005859
4 3 2 2 5 total 0.139489 0.012654
5 3 2 2 6 total 0.152658 0.005193
6 3 2 2 7 total 0.182897 0.007164
7 3 2 2 8 total 0.202894 0.014663
8 3 2 2 9 total 0.268249 0.019575
9 3 2 2 10 total 0.294098 0.015467
10 3 2 2 11 total 0.354088 0.012355
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
material group in group out mu bin nuclide mean std. dev.
33 3 1 1 1 total 0.008818 0.001587
34 3 1 1 2 total 0.006389 0.000610
35 3 1 1 3 total 0.007288 0.000775
36 3 1 1 4 total 0.008008 0.001111
37 3 1 1 5 total 0.007828 0.000452
38 3 1 1 6 total 0.011247 0.000473
39 3 1 1 7 total 0.039411 0.002111
40 3 1 1 8 total 0.071443 0.002082
41 3 1 1 9 total 0.115713 0.004165
42 3 1 1 10 total 0.164662 0.005479
43 3 1 1 11 total 0.214060 0.006189
22 3 1 2 1 total 0.000360 0.000090
23 3 1 2 2 total 0.000810 0.000169
24 3 1 2 3 total 0.000810 0.000331
25 3 1 2 4 total 0.001440 0.000332
26 3 1 2 5 total 0.002339 0.000267
27 3 1 2 6 total 0.003149 0.000256
28 3 1 2 7 total 0.004409 0.000601
29 3 1 2 8 total 0.004139 0.000398
30 3 1 2 9 total 0.004769 0.000639
31 3 1 2 10 total 0.004769 0.000453
32 3 1 2 11 total 0.002789 0.000630
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
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 0.000000 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 0.086327 0.004499
1 3 2 2 2 total 0.088278 0.008634
2 3 2 2 3 total 0.108275 0.008710
3 3 2 2 4 total 0.115103 0.005859
4 3 2 2 5 total 0.139489 0.012654
5 3 2 2 6 total 0.152658 0.005193
6 3 2 2 7 total 0.182897 0.007164
7 3 2 2 8 total 0.202894 0.014663
8 3 2 2 9 total 0.268249 0.019575
9 3 2 2 10 total 0.294098 0.015467
10 3 2 2 11 total 0.354088 0.012355
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
material group in group out mu bin nuclide mean std. dev.
33 3 1 1 1 total 0.008807 0.001589
34 3 1 1 2 total 0.006381 0.000614
35 3 1 1 3 total 0.007279 0.000779
36 3 1 1 4 total 0.007998 0.001113
37 3 1 1 5 total 0.007818 0.000461
38 3 1 1 6 total 0.011233 0.000491
39 3 1 1 7 total 0.039362 0.002160
40 3 1 1 8 total 0.071354 0.002246
41 3 1 1 9 total 0.115569 0.004381
42 3 1 1 10 total 0.164456 0.005812
43 3 1 1 11 total 0.213793 0.006684
22 3 1 2 1 total 0.000359 0.000090
23 3 1 2 2 total 0.000809 0.000169
24 3 1 2 3 total 0.000809 0.000331
25 3 1 2 4 total 0.001438 0.000332
26 3 1 2 5 total 0.002337 0.000269
27 3 1 2 6 total 0.003145 0.000259
28 3 1 2 7 total 0.004403 0.000603
29 3 1 2 8 total 0.004134 0.000400
30 3 1 2 9 total 0.004763 0.000640
31 3 1 2 10 total 0.004763 0.000456
32 3 1 2 11 total 0.002786 0.000630
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
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 0.000000 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 0.086966 0.006257
1 3 2 2 2 total 0.088931 0.009752
2 3 2 2 3 total 0.109076 0.010309
3 3 2 2 4 total 0.115955 0.008241
4 3 2 2 5 total 0.140521 0.014528
5 3 2 2 6 total 0.153787 0.009249
6 3 2 2 7 total 0.184250 0.011645
7 3 2 2 8 total 0.204395 0.017916
8 3 2 2 9 total 0.270233 0.023844
9 3 2 2 10 total 0.296274 0.021418
10 3 2 2 11 total 0.356708 0.021633
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
material group in group out mu bin nuclide mean std. dev.
33 3 1 1 1 total 0.008807 0.001597
34 3 1 1 2 total 0.006381 0.000625
35 3 1 1 3 total 0.007279 0.000790
36 3 1 1 4 total 0.007998 0.001123
37 3 1 1 5 total 0.007818 0.000482
38 3 1 1 6 total 0.011233 0.000531
39 3 1 1 7 total 0.039362 0.002274
40 3 1 1 8 total 0.071354 0.002589
41 3 1 1 9 total 0.115569 0.004852
42 3 1 1 10 total 0.164456 0.006526
43 3 1 1 11 total 0.213793 0.007718
22 3 1 2 1 total 0.000359 0.000092
23 3 1 2 2 total 0.000809 0.000174
24 3 1 2 3 total 0.000809 0.000333
25 3 1 2 4 total 0.001438 0.000340
26 3 1 2 5 total 0.002337 0.000295
27 3 1 2 6 total 0.003145 0.000306
28 3 1 2 7 total 0.004403 0.000645
29 3 1 2 8 total 0.004134 0.000454
30 3 1 2 9 total 0.004763 0.000686
31 3 1 2 10 total 0.004763 0.000519
32 3 1 2 11 total 0.002786 0.000646
33 3 1 1 1 total 0.007106 0.000751
34 3 1 1 2 total 0.006917 0.000509
35 3 1 1 3 total 0.005590 0.000635
36 3 1 1 4 total 0.006254 0.000532
37 3 1 1 5 total 0.007770 0.000977
38 3 1 1 6 total 0.012412 0.001060
39 3 1 1 7 total 0.041501 0.002755
40 3 1 1 8 total 0.075421 0.003475
41 3 1 1 9 total 0.123365 0.006634
42 3 1 1 10 total 0.160981 0.007387
43 3 1 1 11 total 0.203618 0.011019
22 3 1 2 1 total 0.000190 0.000190
23 3 1 2 2 total 0.001042 0.000114
24 3 1 2 3 total 0.000853 0.000185
25 3 1 2 4 total 0.000853 0.000319
26 3 1 2 5 total 0.001327 0.000288
27 3 1 2 6 total 0.003790 0.000588
28 3 1 2 7 total 0.003885 0.000748
29 3 1 2 8 total 0.006348 0.000587
30 3 1 2 9 total 0.005306 0.000601
31 3 1 2 10 total 0.005117 0.000535
32 3 1 2 11 total 0.002558 0.000246
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
@ -525,16 +525,16 @@
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 0.000000 0.000000
20 3 2 1 10 total 0.000466 0.000808
21 3 2 1 11 total 0.000000 0.000000
0 3 2 2 1 total 0.086966 0.007070
1 3 2 2 2 total 0.088931 0.010317
2 3 2 2 3 total 0.109076 0.011105
3 3 2 2 4 total 0.115955 0.009338
4 3 2 2 5 total 0.140521 0.015472
5 3 2 2 6 total 0.153787 0.010930
6 3 2 2 7 total 0.184250 0.013575
7 3 2 2 8 total 0.204395 0.019516
8 3 2 2 9 total 0.270233 0.025947
9 3 2 2 10 total 0.296274 0.024178
10 3 2 2 11 total 0.356708 0.025503
0 3 2 2 1 total 0.083912 0.008936
1 3 2 2 2 total 0.099762 0.011448
2 3 2 2 3 total 0.111883 0.012563
3 3 2 2 4 total 0.117477 0.010731
4 3 2 2 5 total 0.138921 0.011855
5 3 2 2 6 total 0.160831 0.016211
6 3 2 2 7 total 0.180411 0.014254
7 3 2 2 8 total 0.219104 0.019093
8 3 2 2 9 total 0.239149 0.030071
9 3 2 2 10 total 0.280639 0.026447
10 3 2 2 11 total 0.369213 0.034054

542
tests/regression_tests/mgxs_library_mesh/results_true.dat
View file

@ -1,362 +1,362 @@
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.102319 0.005483
2 1 2 1 1 total 0.104659 0.002878
1 2 1 1 1 total 0.107122 0.005105
3 2 2 1 1 total 0.103856 0.003459
0 1 1 1 1 total 0.102539 0.004894
2 1 2 1 1 total 0.106476 0.007513
1 2 1 1 1 total 0.101207 0.004814
3 2 2 1 1 total 0.101733 0.004445
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.072455 0.005799
2 1 2 1 1 total 0.072899 0.003254
1 2 1 1 1 total 0.074187 0.005441
3 2 2 1 1 total 0.074241 0.003779
0 1 1 1 1 total 0.073423 0.005232
2 1 2 1 1 total 0.077906 0.007749
1 2 1 1 1 total 0.071315 0.005181
3 2 2 1 1 total 0.071983 0.004856
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.072455 0.005799
2 1 2 1 1 total 0.072912 0.003251
1 2 1 1 1 total 0.074140 0.005442
3 2 2 1 1 total 0.074192 0.003783
0 1 1 1 1 total 0.073443 0.005235
2 1 2 1 1 total 0.077909 0.007749
1 2 1 1 1 total 0.071315 0.005181
3 2 2 1 1 total 0.071928 0.004865
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.012943 0.000836
2 1 2 1 1 total 0.013363 0.000553
1 2 1 1 1 total 0.013980 0.000715
3 2 2 1 1 total 0.013286 0.000621
0 1 1 1 1 total 0.013089 0.000762
2 1 2 1 1 total 0.013802 0.000950
1 2 1 1 1 total 0.012818 0.000708
3 2 2 1 1 total 0.012954 0.000699
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.012881 0.000835
2 1 2 1 1 total 0.013282 0.000552
1 2 1 1 1 total 0.013896 0.000714
3 2 2 1 1 total 0.013180 0.000621
0 1 1 1 1 total 0.013016 0.000761
2 1 2 1 1 total 0.013715 0.000947
1 2 1 1 1 total 0.012740 0.000707
3 2 2 1 1 total 0.012886 0.000698
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.001231 0.000979
2 1 2 1 1 total 0.001332 0.000691
1 2 1 1 1 total 0.001346 0.000770
3 2 2 1 1 total 0.001258 0.000815
0 1 1 1 1 total 0.001244 0.000926
2 1 2 1 1 total 0.001345 0.000851
1 2 1 1 1 total 0.001196 0.000768
3 2 2 1 1 total 0.001234 0.000843
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.011712 0.000762
2 1 2 1 1 total 0.012031 0.000468
1 2 1 1 1 total 0.012635 0.000646
3 2 2 1 1 total 0.012028 0.000556
0 1 1 1 1 total 0.011844 0.000690
2 1 2 1 1 total 0.012457 0.000852
1 2 1 1 1 total 0.011622 0.000636
3 2 2 1 1 total 0.011719 0.000633
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.030549 0.001995
2 1 2 1 1 total 0.031338 0.001160
1 2 1 1 1 total 0.032944 0.001703
3 2 2 1 1 total 0.031480 0.001423
0 1 1 1 1 total 0.030919 0.001784
2 1 2 1 1 total 0.032495 0.002202
1 2 1 1 1 total 0.030363 0.001664
3 2 2 1 1 total 0.030565 0.001671
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 2.265259e+06 147469.851100
2 1 2 1 1 total 2.326873e+06 90605.035909
1 2 1 1 1 total 2.443628e+06 124917.160682
3 2 2 1 1 total 2.326322e+06 107513.428248
0 1 1 1 1 total 2.290786e+06 133521.277651
2 1 2 1 1 total 2.409292e+06 164752.430241
1 2 1 1 1 total 2.247742e+06 123005.689035
3 2 2 1 1 total 2.266603e+06 122428.448367
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.089376 0.004670
2 1 2 1 1 total 0.091296 0.002370
1 2 1 1 1 total 0.093142 0.004401
3 2 2 1 1 total 0.090570 0.002842
0 1 1 1 1 total 0.089450 0.004147
2 1 2 1 1 total 0.092674 0.006571
1 2 1 1 1 total 0.088389 0.004152
3 2 2 1 1 total 0.088779 0.003763
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.089670 0.005421
2 1 2 1 1 total 0.094557 0.003843
1 2 1 1 1 total 0.094972 0.005963
3 2 2 1 1 total 0.088538 0.002530
0 1 1 1 1 total 0.089555 0.004061
2 1 2 1 1 total 0.092658 0.006216
1 2 1 1 1 total 0.088293 0.004423
3 2 2 1 1 total 0.088717 0.004937
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.089670 0.005421
1 1 1 1 1 1 P1 total 0.029864 0.001887
2 1 1 1 1 1 P2 total 0.015945 0.001296
3 1 1 1 1 1 P3 total 0.009511 0.000946
8 1 2 1 1 1 P0 total 0.094524 0.003835
9 1 2 1 1 1 P1 total 0.031760 0.001520
10 1 2 1 1 1 P2 total 0.017210 0.000821
11 1 2 1 1 1 P3 total 0.009315 0.000631
4 2 1 1 1 1 P0 total 0.094835 0.005973
5 2 1 1 1 1 P1 total 0.032936 0.001884
6 2 1 1 1 1 P2 total 0.017196 0.001626
7 2 1 1 1 1 P3 total 0.010278 0.001345
12 2 2 1 1 1 P0 total 0.088412 0.002491
13 2 2 1 1 1 P1 total 0.029615 0.001524
14 2 2 1 1 1 P2 total 0.016925 0.000613
15 2 2 1 1 1 P3 total 0.009759 0.000466
0 1 1 1 1 1 P0 total 0.089523 0.004070
1 1 1 1 1 1 P1 total 0.029116 0.001851
2 1 1 1 1 1 P2 total 0.016529 0.000827
3 1 1 1 1 1 P3 total 0.009975 0.000731
8 1 2 1 1 1 P0 total 0.092626 0.006233
9 1 2 1 1 1 P1 total 0.028570 0.001899
10 1 2 1 1 1 P2 total 0.015737 0.001986
11 1 2 1 1 1 P3 total 0.008492 0.000859
4 2 1 1 1 1 P0 total 0.088293 0.004423
5 2 1 1 1 1 P1 total 0.029892 0.001916
6 2 1 1 1 1 P2 total 0.016736 0.000714
7 2 1 1 1 1 P3 total 0.009129 0.000509
12 2 2 1 1 1 P0 total 0.088617 0.004889
13 2 2 1 1 1 P1 total 0.029750 0.001954
14 2 2 1 1 1 P2 total 0.016440 0.001320
15 2 2 1 1 1 P3 total 0.009758 0.000538
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.089670 0.005421
1 1 1 1 1 1 P1 total 0.029864 0.001887
2 1 1 1 1 1 P2 total 0.015945 0.001296
3 1 1 1 1 1 P3 total 0.009511 0.000946
8 1 2 1 1 1 P0 total 0.094557 0.003843
9 1 2 1 1 1 P1 total 0.031747 0.001512
10 1 2 1 1 1 P2 total 0.017201 0.000817
11 1 2 1 1 1 P3 total 0.009329 0.000635
4 2 1 1 1 1 P0 total 0.094972 0.005963
5 2 1 1 1 1 P1 total 0.032983 0.001886
6 2 1 1 1 1 P2 total 0.017162 0.001631
7 2 1 1 1 1 P3 total 0.010240 0.001336
12 2 2 1 1 1 P0 total 0.088538 0.002530
13 2 2 1 1 1 P1 total 0.029663 0.001532
14 2 2 1 1 1 P2 total 0.016931 0.000627
15 2 2 1 1 1 P3 total 0.009762 0.000466
0 1 1 1 1 1 P0 total 0.089555 0.004061
1 1 1 1 1 1 P1 total 0.029096 0.001859
2 1 1 1 1 1 P2 total 0.016532 0.000828
3 1 1 1 1 1 P3 total 0.009986 0.000734
8 1 2 1 1 1 P0 total 0.092658 0.006216
9 1 2 1 1 1 P1 total 0.028567 0.001899
10 1 2 1 1 1 P2 total 0.015721 0.001995
11 1 2 1 1 1 P3 total 0.008496 0.000857
4 2 1 1 1 1 P0 total 0.088293 0.004423
5 2 1 1 1 1 P1 total 0.029892 0.001916
6 2 1 1 1 1 P2 total 0.016736 0.000714
7 2 1 1 1 1 P3 total 0.009129 0.000509
12 2 2 1 1 1 P0 total 0.088717 0.004937
13 2 2 1 1 1 P1 total 0.029805 0.001977
14 2 2 1 1 1 P2 total 0.016448 0.001327
15 2 2 1 1 1 P3 total 0.009752 0.000534
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 1.000000 0.056046
2 1 2 1 1 1 total 1.000346 0.042442
1 2 1 1 1 1 total 1.001447 0.056345
3 2 2 1 1 1 total 1.001422 0.026106
0 1 1 1 1 1 total 1.000362 0.044694
2 1 2 1 1 1 total 1.000346 0.059372
1 2 1 1 1 1 total 1.000000 0.055277
3 2 2 1 1 1 total 1.001132 0.057130
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.031401 0.002755
2 1 2 1 1 1 total 0.033268 0.001692
1 2 1 1 1 1 total 0.033756 0.002609
3 2 2 1 1 1 total 0.030234 0.001308
0 1 1 1 1 1 total 0.031634 0.002236
2 1 2 1 1 1 total 0.032561 0.002344
1 2 1 1 1 1 total 0.030820 0.002579
3 2 2 1 1 1 total 0.029308 0.002507
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 1.0 0.056046
2 1 2 1 1 1 total 1.0 0.042360
1 2 1 1 1 1 total 1.0 0.056488
3 2 2 1 1 1 total 1.0 0.025630
0 1 1 1 1 1 total 1.0 0.044796
2 1 2 1 1 1 total 1.0 0.059579
1 2 1 1 1 1 total 1.0 0.055277
3 2 2 1 1 1 total 1.0 0.056598
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.089376 0.006848
1 1 1 1 1 1 P1 total 0.029766 0.002346
2 1 1 1 1 1 P2 total 0.015893 0.001493
3 1 1 1 1 1 P3 total 0.009480 0.001043
8 1 2 1 1 1 P0 total 0.091296 0.004536
9 1 2 1 1 1 P1 total 0.030675 0.001712
10 1 2 1 1 1 P2 total 0.016622 0.000925
11 1 2 1 1 1 P3 total 0.008997 0.000662
4 2 1 1 1 1 P0 total 0.093142 0.006860
5 2 1 1 1 1 P1 total 0.032348 0.002224
6 2 1 1 1 1 P2 total 0.016889 0.001722
7 2 1 1 1 1 P3 total 0.010094 0.001376
12 2 2 1 1 1 P0 total 0.090570 0.003669
13 2 2 1 1 1 P1 total 0.030338 0.001794
14 2 2 1 1 1 P2 total 0.017338 0.000806
15 2 2 1 1 1 P3 total 0.009997 0.000559
0 1 1 1 1 1 P0 total 0.089450 0.005766
1 1 1 1 1 1 P1 total 0.029092 0.002277
2 1 1 1 1 1 P2 total 0.016516 0.001119
3 1 1 1 1 1 P3 total 0.009967 0.000861
8 1 2 1 1 1 P0 total 0.092674 0.008583
9 1 2 1 1 1 P1 total 0.028585 0.002630
10 1 2 1 1 1 P2 total 0.015745 0.002226
11 1 2 1 1 1 P3 total 0.008496 0.001015
4 2 1 1 1 1 P0 total 0.088389 0.006412
5 2 1 1 1 1 P1 total 0.029924 0.002479
6 2 1 1 1 1 P2 total 0.016754 0.001133
7 2 1 1 1 1 P3 total 0.009139 0.000699
12 2 2 1 1 1 P0 total 0.088779 0.006278
13 2 2 1 1 1 P1 total 0.029804 0.002360
14 2 2 1 1 1 P2 total 0.016470 0.001510
15 2 2 1 1 1 P3 total 0.009776 0.000691
mesh 1 group in group out legendre nuclide mean std. dev.
x y z
0 1 1 1 1 1 P0 total 0.089376 0.008485
1 1 1 1 1 1 P1 total 0.029766 0.002878
2 1 1 1 1 1 P2 total 0.015893 0.001738
3 1 1 1 1 1 P3 total 0.009480 0.001171
8 1 2 1 1 1 P0 total 0.091328 0.005967
9 1 2 1 1 1 P1 total 0.030686 0.002151
10 1 2 1 1 1 P2 total 0.016628 0.001164
11 1 2 1 1 1 P3 total 0.009000 0.000764
4 2 1 1 1 1 P0 total 0.093277 0.008645
5 2 1 1 1 1 P1 total 0.032394 0.002878
6 2 1 1 1 1 P2 total 0.016913 0.001969
7 2 1 1 1 1 P3 total 0.010109 0.001491
12 2 2 1 1 1 P0 total 0.090699 0.004369
13 2 2 1 1 1 P1 total 0.030381 0.001963
14 2 2 1 1 1 P2 total 0.017362 0.000925
15 2 2 1 1 1 P3 total 0.010011 0.000618
0 1 1 1 1 1 P0 total 0.089483 0.007018
1 1 1 1 1 1 P1 total 0.029103 0.002623
2 1 1 1 1 1 P2 total 0.016522 0.001341
3 1 1 1 1 1 P3 total 0.009971 0.000970
8 1 2 1 1 1 P0 total 0.092706 0.010197
9 1 2 1 1 1 P1 total 0.028595 0.003131
10 1 2 1 1 1 P2 total 0.015750 0.002415
11 1 2 1 1 1 P3 total 0.008499 0.001134
4 2 1 1 1 1 P0 total 0.088389 0.008061
5 2 1 1 1 1 P1 total 0.029924 0.002980
6 2 1 1 1 1 P2 total 0.016754 0.001463
7 2 1 1 1 1 P3 total 0.009139 0.000863
12 2 2 1 1 1 P0 total 0.088880 0.008076
13 2 2 1 1 1 P1 total 0.029838 0.002912
14 2 2 1 1 1 P2 total 0.016489 0.001781
15 2 2 1 1 1 P3 total 0.009787 0.000889
mesh 1 group out nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.0 0.105972
2 1 2 1 1 total 1.0 0.060624
1 2 1 1 1 total 1.0 0.084855
3 2 2 1 1 total 1.0 0.053024
0 1 1 1 1 total 1.0 0.088672
2 1 2 1 1 total 1.0 0.069731
1 2 1 1 1 total 1.0 0.109718
3 2 2 1 1 total 1.0 0.108376
mesh 1 group out nuclide mean std. dev.
x y z
0 1 1 1 1 total 1.0 0.108202
2 1 2 1 1 total 1.0 0.058908
1 2 1 1 1 total 1.0 0.085583
3 2 2 1 1 total 1.0 0.052287
0 1 1 1 1 total 1.0 0.091154
2 1 2 1 1 total 1.0 0.069438
1 2 1 1 1 total 1.0 0.109233
3 2 2 1 1 total 1.0 0.108119
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 8.529639e-10 3.484230e-11
2 1 2 1 1 total 9.050800e-10 2.850752e-11
1 2 1 1 1 total 8.650057e-10 4.049297e-11
3 2 2 1 1 total 8.673543e-10 1.753754e-11
0 1 1 1 1 total 8.424136e-10 3.612697e-11
2 1 2 1 1 total 8.884166e-10 6.324091e-11
1 2 1 1 1 total 8.415613e-10 4.520088e-11
3 2 2 1 1 total 8.557929e-10 2.898037e-11
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.030356 0.001982
2 1 2 1 1 total 0.031140 0.001152
1 2 1 1 1 total 0.032736 0.001693
3 2 2 1 1 total 0.031283 0.001414
0 1 1 1 1 total 0.030724 0.001773
2 1 2 1 1 total 0.032290 0.002188
1 2 1 1 1 total 0.030172 0.001654
3 2 2 1 1 total 0.030372 0.001661
mesh 1 group in group out nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.031233 0.002783
2 1 2 1 1 1 total 0.033040 0.001647
1 2 1 1 1 1 total 0.033581 0.002609
3 2 2 1 1 1 total 0.030070 0.001287
0 1 1 1 1 1 total 0.031468 0.002273
2 1 2 1 1 1 total 0.032418 0.002330
1 2 1 1 1 1 total 0.030706 0.002559
3 2 2 1 1 1 total 0.029134 0.002487
mesh 1 group in nuclide mean std. dev.
x y surf
3 1 1 x-max in 1 total 0.1816 0.006129
2 1 1 x-max out 1 total 0.1730 0.004382
3 1 1 x-max in 1 total 0.1884 0.010255
2 1 1 x-max out 1 total 0.1798 0.009646
1 1 1 x-min in 1 total 0.0000 0.000000
0 1 1 x-min out 1 total 0.0000 0.000000
7 1 1 y-max in 1 total 0.1790 0.011921
6 1 1 y-max out 1 total 0.1802 0.016599
7 1 1 y-max in 1 total 0.1822 0.014739
6 1 1 y-max out 1 total 0.1806 0.019423
5 1 1 y-min in 1 total 0.0000 0.000000
4 1 1 y-min out 1 total 0.0000 0.000000
19 1 2 x-max in 1 total 0.1872 0.012447
18 1 2 x-max out 1 total 0.1952 0.015948
19 1 2 x-max in 1 total 0.1780 0.012514
18 1 2 x-max out 1 total 0.1886 0.014979
17 1 2 x-min in 1 total 0.0000 0.000000
16 1 2 x-min out 1 total 0.0000 0.000000
23 1 2 y-max in 1 total 0.0000 0.000000
22 1 2 y-max out 1 total 0.0000 0.000000
21 1 2 y-min in 1 total 0.1802 0.016599
20 1 2 y-min out 1 total 0.1790 0.011921
21 1 2 y-min in 1 total 0.1806 0.019423
20 1 2 y-min out 1 total 0.1822 0.014739
11 2 1 x-max in 1 total 0.0000 0.000000
10 2 1 x-max out 1 total 0.0000 0.000000
9 2 1 x-min in 1 total 0.1730 0.004382
8 2 1 x-min out 1 total 0.1816 0.006129
15 2 1 y-max in 1 total 0.1778 0.009484
14 2 1 y-max out 1 total 0.1822 0.010077
9 2 1 x-min in 1 total 0.1798 0.009646
8 2 1 x-min out 1 total 0.1884 0.010255
15 2 1 y-max in 1 total 0.1812 0.009583
14 2 1 y-max out 1 total 0.1858 0.012018
13 2 1 y-min in 1 total 0.0000 0.000000
12 2 1 y-min out 1 total 0.0000 0.000000
27 2 2 x-max in 1 total 0.0000 0.000000
26 2 2 x-max out 1 total 0.0000 0.000000
25 2 2 x-min in 1 total 0.1952 0.015948
24 2 2 x-min out 1 total 0.1872 0.012447
25 2 2 x-min in 1 total 0.1886 0.014979
24 2 2 x-min out 1 total 0.1780 0.012514
31 2 2 y-max in 1 total 0.0000 0.000000
30 2 2 y-max out 1 total 0.0000 0.000000
29 2 2 y-min in 1 total 0.1822 0.010077
28 2 2 y-min out 1 total 0.1778 0.009484
29 2 2 y-min in 1 total 0.1858 0.012018
28 2 2 y-min out 1 total 0.1812 0.009583
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 4.600555 0.368212
2 1 2 1 1 total 4.572518 0.204129
1 2 1 1 1 total 4.493168 0.329560
3 2 2 1 1 total 4.489908 0.228574
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
mesh 1 group in nuclide mean std. dev.
x y z
0 1 1 1 1 total 4.600555 0.368212
2 1 2 1 1 total 4.571696 0.203824
1 2 1 1 1 total 4.496020 0.330019
3 2 2 1 1 total 4.492825 0.229077
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
mesh 1 delayedgroup group in nuclide mean std. dev.
x y z
0 1 1 1 1 1 total 0.000007 4.371033e-07
1 1 1 1 2 1 total 0.000035 2.256193e-06
2 1 1 1 3 1 total 0.000033 2.153958e-06
3 1 1 1 4 1 total 0.000075 4.829351e-06
4 1 1 1 5 1 total 0.000031 1.979966e-06
5 1 1 1 6 1 total 0.000013 8.294008e-07
12 1 2 1 1 1 total 0.000007 2.763697e-07
13 1 2 1 2 1 total 0.000036 1.426535e-06
14 1 2 1 3 1 total 0.000034 1.361895e-06
15 1 2 1 4 1 total 0.000077 3.053480e-06
16 1 2 1 5 1 total 0.000031 1.251884e-06
17 1 2 1 6 1 total 0.000013 5.244097e-07
6 2 1 1 1 1 total 0.000007 3.644103e-07
7 2 1 1 2 1 total 0.000038 1.880974e-06
8 2 1 1 3 1 total 0.000036 1.795741e-06
9 2 1 1 4 1 total 0.000080 4.026199e-06
10 2 1 1 5 1 total 0.000033 1.650685e-06
11 2 1 1 6 1 total 0.000014 6.914661e-07
18 2 2 1 1 1 total 0.000007 3.263844e-07
19 2 2 1 2 1 total 0.000036 1.684696e-06
20 2 2 1 3 1 total 0.000034 1.608357e-06
21 2 2 1 4 1 total 0.000076 3.606069e-06
22 2 2 1 5 1 total 0.000031 1.478437e-06
23 2 2 1 6 1 total 0.000013 6.193123e-07
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
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 1.414214
2 1 1 1 3 1 total 1.0 1.414214
3 1 1 1 4 1 total 1.0 0.579241
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
5 1 1 1 6 1 total 0.0 0.000000
12 1 2 1 1 1 total 1.0 1.414214
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 1.0 0.866166
15 1 2 1 4 1 total 1.0 0.868547
16 1 2 1 5 1 total 1.0 0.873899
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
17 1 2 1 6 1 total 1.0 1.414214
6 2 1 1 1 1 total 0.0 0.000000
7 2 1 1 2 1 total 1.0 0.654642
8 2 1 1 3 1 total 1.0 1.414214
9 2 1 1 4 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
11 2 1 1 6 1 total 0.0 0.000000
18 2 2 1 1 1 total 1.0 0.867501
19 2 2 1 2 1 total 0.0 0.000000
20 2 2 1 3 1 total 0.0 0.000000
21 2 2 1 4 1 total 1.0 0.867501
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
22 2 2 1 5 1 total 1.0 1.414214
23 2 2 1 6 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 0.000018
1 1 1 1 2 1 total 0.001141 0.000091
2 1 1 1 3 1 total 0.001090 0.000087
3 1 1 1 4 1 total 0.002443 0.000194
4 1 1 1 5 1 total 0.001002 0.000080
5 1 1 1 6 1 total 0.000420 0.000033
12 1 2 1 1 1 total 0.000221 0.000011
13 1 2 1 2 1 total 0.001142 0.000059
14 1 2 1 3 1 total 0.001090 0.000056
15 1 2 1 4 1 total 0.002444 0.000126
16 1 2 1 5 1 total 0.001002 0.000052
17 1 2 1 6 1 total 0.000420 0.000022
6 2 1 1 1 1 total 0.000221 0.000013
7 2 1 1 2 1 total 0.001140 0.000065
8 2 1 1 3 1 total 0.001088 0.000062
9 2 1 1 4 1 total 0.002440 0.000140
10 2 1 1 5 1 total 0.001000 0.000057
11 2 1 1 6 1 total 0.000419 0.000024
18 2 2 1 1 1 total 0.000219 0.000014
19 2 2 1 2 1 total 0.001132 0.000072
20 2 2 1 3 1 total 0.001081 0.000069
21 2 2 1 4 1 total 0.002424 0.000155
22 2 2 1 5 1 total 0.000994 0.000064
23 2 2 1 6 1 total 0.000416 0.000027
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
mesh 1 delayedgroup nuclide mean std. dev.
x y z
0 1 1 1 1 total 0.013336 0.001054
1 1 1 1 2 total 0.032739 0.002588
2 1 1 1 3 total 0.120780 0.009548
3 1 1 1 4 total 0.302780 0.023936
4 1 1 1 5 total 0.849490 0.067157
5 1 1 1 6 total 2.853000 0.225544
12 1 2 1 1 total 0.013336 0.000716
13 1 2 1 2 total 0.032739 0.001758
14 1 2 1 3 total 0.120780 0.006485
15 1 2 1 4 total 0.302780 0.016257
16 1 2 1 5 total 0.849490 0.045611
17 1 2 1 6 total 2.853000 0.153186
6 2 1 1 1 total 0.013336 0.000744
7 2 1 1 2 total 0.032739 0.001827
8 2 1 1 3 total 0.120780 0.006740
9 2 1 1 4 total 0.302780 0.016897
10 2 1 1 5 total 0.849490 0.047407
11 2 1 1 6 total 2.853000 0.159216
18 2 2 1 1 total 0.013336 0.000872
19 2 2 1 2 total 0.032739 0.002141
20 2 2 1 3 total 0.120780 0.007899
21 2 2 1 4 total 0.302780 0.019803
22 2 2 1 5 total 0.849490 0.055560
23 2 2 1 6 total 2.853000 0.186598
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
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 0.000029 0.000030
2 1 1 1 3 1 1 total 0.000028 0.000028
3 1 1 1 4 1 1 total 0.000083 0.000034
4 1 1 1 5 1 1 total 0.000028 0.000028
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
5 1 1 1 6 1 1 total 0.000000 0.000000
12 1 2 1 1 1 1 total 0.000029 0.000029
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 0.000052 0.000032
15 1 2 1 4 1 1 total 0.000055 0.000034
16 1 2 1 5 1 1 total 0.000059 0.000037
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 0.000113 0.000053
8 2 1 1 3 1 1 total 0.000034 0.000034
9 2 1 1 4 1 1 total 0.000029 0.000029
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
11 2 1 1 6 1 1 total 0.000000 0.000000
18 2 2 1 1 1 1 total 0.000053 0.000033
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 0.000053 0.000033
22 2 2 1 5 1 1 total 0.000031 0.000031
23 2 2 1 6 1 1 total 0.000025 0.000025
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
23 2 2 1 6 1 1 total 0.000000 0.000000

858
tests/regression_tests/mgxs_library_no_nuclides/results_true.dat
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File diff suppressed because it is too large Load diff

2
tests/regression_tests/mgxs_library_nuclides/results_true.dat
View file

@ -1 +1 @@
93ad567f1b36461a68d4ead0ff5cfa4a2003b05cf5241a232544545001a94a33fc7b99f21af277ea3a24861d38aac3a9ac36c8b1706c4b3b33caec589df2c90c
c4a4cb4e00f09ef62222a0e66df817af87bf324a2ac0e57a82ff1337535a223c7077d660a60d0ce9ac7113c47d37b3296347f3ba212558ff09ef5fc586e1dd28

8
tests/regression_tests/microxs/test.py
View file

@ -4,9 +4,10 @@ from pathlib import Path
import numpy as np
import pytest
import openmc
from openmc.deplete import MicroXS
from tests.regression_tests import config
CHAIN_FILE = Path(__file__).parents[2] / "chain_simple.xml"
@pytest.fixture(scope="module")
@ -46,7 +47,10 @@ def model():
def test_from_model(model):
ref_xs = MicroXS.from_csv('test_reference.csv')
test_xs = MicroXS.from_model(model, model.materials[0], CHAIN_FILE)
if config['update']:
test_xs.to_csv('test_reference.csv')
ref_xs = MicroXS.from_csv('test_reference.csv')
np.testing.assert_allclose(test_xs, ref_xs, rtol=1e-11)

24
tests/regression_tests/microxs/test_reference.csv
View file

@ -1,13 +1,13 @@
nuclide,"(n,gamma)",fission
U234,22.231989815372202,0.49620744658634824
U235,10.479008966651142,48.417873345870724
U238,0.8673334103130558,0.1046788058833928
U236,8.651710443768728,0.3194839239606777
O16,7.497850998328519e-05,0.0
O17,0.0004079227795364271,0.0
I135,6.842395320017149,0.0
Xe135,227463.8640052883,0.0
Xe136,0.023178960335476638,0.0
Cs135,2.1721665579658485,0.0
Gd157,12786.099387172428,0.0
Gd156,3.4006085435237843,0.0
U234,20.548033586079335,0.4951725071956495
U235,10.593745111766133,48.86980740247932
U238,0.8607296097035912,0.10623994948321437
U236,8.697176401063281,0.32148140073986475
O16,7.503456435273737e-05,0.0
O17,0.0004107265933745623,0.0
I135,6.896228129273278,0.0
Xe135,229100.9245987756,0.0
Xe136,0.02336047367105298,0.0
Cs135,2.055822714073886,0.0
Gd157,12927.465334134899,0.0
Gd156,3.500756543915523,0.0

1 nuclide (n,gamma) fission
2 U234 22.231989815372202 20.548033586079335 0.49620744658634824 0.4951725071956495
3 U235 10.479008966651142 10.593745111766133 48.417873345870724 48.86980740247932
4 U238 0.8673334103130558 0.8607296097035912 0.1046788058833928 0.10623994948321437
5 U236 8.651710443768728 8.697176401063281 0.3194839239606777 0.32148140073986475
6 O16 7.497850998328519e-05 7.503456435273737e-05 0.0
7 O17 0.0004079227795364271 0.0004107265933745623 0.0
8 I135 6.842395320017149 6.896228129273278 0.0
9 Xe135 227463.8640052883 229100.9245987756 0.0
10 Xe136 0.023178960335476638 0.02336047367105298 0.0
11 Cs135 2.1721665579658485 2.055822714073886 0.0
12 Gd157 12786.099387172428 12927.465334134899 0.0
13 Gd156 3.4006085435237843 3.500756543915523 0.0

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