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Merge pull request #2 from openmc-dev/develop
Update alongside openmc-dev
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100 changed files with 3117 additions and 2753 deletions
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@ -12,6 +12,14 @@ adding new code in OpenMC.
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C++
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---
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.. important:: To ensure consistent styling with little effort, this project
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uses `clang-format <https://clang.llvm.org/docs/ClangFormat.html>`_. The
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repository contains a ``.clang-format`` file that can be used to
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automatically apply the style rules that are described below. The easiest
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way to use clang-format is through a plugin/extension for your editor/IDE
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that automatically runs clang-format using the ``.clang-format`` file
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whenever a file is saved.
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Indentation
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-----------
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@ -142,7 +142,7 @@ materials in the problem and is specified using a :ref:`mesh_element`.
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----------------------------
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Determines whether to use event-based parallelism instead of the default
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history-based parallelism.
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history-based parallelism.
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*Default*: false
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@ -459,6 +459,15 @@ attributes/sub-elements:
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*Default*: None
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:library:
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If this attribute is given, it indicates that the source is to be
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instantiated from an externally compiled source function. This source can be
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as complex as is required to define the source for your problem. The only
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requirement is that there is a function called ``sample_source()``. More
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documentation on how to build sources can be found in :ref:`custom_source`.
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*Default*: None
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:space:
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An element specifying the spatial distribution of source sites. This element
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has the following attributes:
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@ -591,6 +600,67 @@ attributes/sub-elements:
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*Default*: false
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.. _custom_source:
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Custom Sources
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++++++++++++++
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It is often the case that one may wish to simulate a complex source
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distribution, which may include physics not present within OpenMC or to be phase
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space complex. It is possible to define a complex source with an externally
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defined source function that is loaded at runtime. A simple example source is
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shown below.
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.. code-block:: c++
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#include "openmc/random_lcg.h"
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#include "openmc/source.h"
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#include "openmc/particle.h"
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// you must have external C linkage here
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extern "C" openmc::Particle::Bank sample_source(uint64_t* seed) {
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openmc::Particle::Bank particle;
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// weight
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particle.particle = openmc::Particle::Type::neutron;
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particle.wgt = 1.0;
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// position
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double angle = 2.0 * M_PI * openmc::prn(seed);
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double radius = 3.0;
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particle.r.x = radius * std::cos(angle);
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particle.r.y = radius * std::sin(angle);
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particle.r.z = 0.0;
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// angle
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particle.u = {1.0, 0.0, 0.0};
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particle.E = 14.08e6;
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particle.delayed_group = 0;
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return particle;
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}
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The above source, creates 14.08 MeV neutrons, with an istropic direction
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vector but distributed in a ring with a 3 cm radius. This routine is
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not particularly complex, but should serve as an example upon which to build
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more complicated sources.
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.. note:: The function signature must be declared to be extern "C".
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.. note:: You should only use the openmc::prn() random number generator
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In order to build your external source, you will need to link it against the
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OpenMC shared library. This can be done by writing a CMakeLists.txt file:
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.. code-block:: cmake
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cmake_minimum_required(VERSION 3.3 FATAL_ERROR)
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project(openmc_sources CXX)
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add_library(source SHARED source_ring.cpp)
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find_package(OpenMC REQUIRED HINTS <path to openmc>)
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target_link_libraries(source OpenMC::libopenmc)
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After running ``cmake`` and ``make``, you will have a libsource.so (or .dylib)
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file in your build directory. Setting the :attr:`openmc.Source.library`
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attribute to the path of this shared library will indicate that it should be
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used for sampling source particles at runtime.
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.. _univariate:
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Univariate Probability Distributions
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@ -33,12 +33,11 @@ material compositions over time. Each method appears as a different class.
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For example, :class:`openmc.deplete.CECMIntegrator` runs a depletion calculation
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using the CE/CM algorithm (deplete over a timestep using the middle-of-step
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reaction rates). An instance of :class:`openmc.deplete.Operator` is passed to
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one of these functions along with the power level and timesteps::
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one of these functions along with the timesteps and power level::
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power = 1200.0e6
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days = 24*60*60
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timesteps = [10.0*days, 10.0*days, 10.0*days]
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openmc.deplete.CECMIntegrator(op, power, timesteps).integrate()
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power = 1200.0e6 # watts
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timesteps = [10.0, 10.0, 10.0] # days
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openmc.deplete.CECMIntegrator(op, timesteps, power, timestep_units='d').integrate()
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The coupled transport-depletion problem is executed, and once it is done a
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``depletion_results.h5`` file is written. The results can be analyzed using the
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@ -67,7 +66,7 @@ the energy deposited during a transport calculation will be lower than expected.
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This causes the reaction rates to be over-adjusted to hit the user-specific power,
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or power density, leading to an over-depletion of burnable materials.
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There are some remedies. First, the fission Q values can be directly set in a
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There are some remedies. First, the fission Q values can be directly set in a
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variety of ways. This requires knowing what the total fission energy release should
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be, including indirect components. Some examples are provided below::
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@ -99,11 +98,11 @@ Local Spectra and Repeated Materials
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------------------------------------
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It is not uncommon to explicitly create a single burnable material across many locations.
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From a pure transport perspective, there is nothing wrong with creating a single
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From a pure transport perspective, there is nothing wrong with creating a single
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3.5 wt.% enriched fuel ``fuel_3``, and placing that fuel in every fuel pin in an assembly
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or even full core problem. This certainly expedites the model making process, but can pose
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issues with depletion.
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Under this setup, :mod:`openmc.deplete` will deplete a single ``fuel_3`` material using
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issues with depletion.
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Under this setup, :mod:`openmc.deplete` will deplete a single ``fuel_3`` material using
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a single set of reaction rates, and produce a single new composition for the next time
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step. This can be problematic if the same ``fuel_3`` is used in very different regions
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of the problem.
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@ -404,7 +404,7 @@ to install the Python package in :ref:`"editable" mode <devguide_editable>`.
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Prerequisites
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-------------
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The Python API works with Python 3.4+. In addition to Python itself, the API
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The Python API works with Python 3.5+. In addition to Python itself, the API
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relies on a number of third-party packages. All prerequisites can be installed
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using Conda_ (recommended), pip_, or through the package manager in most Linux
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distributions. To run simulations in parallel using MPI, it is recommended to
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