A tool for selectively downloading h5 files for specified isotopes / elements from your libraries of choice
Project description
OpenMC data downloader
A Python package for downloading preprocessed cross section data in the h5 file format for use with OpenMC.
This package allows you to download a fully reproducable composite nuclear data library with one command.
There are several methods of obtaining complete data libraries for use with OpenMC, for example:
- OpenMC.org has entrie libraries downloadable as compressed files
- OpenMC data repository scripts has scripts for automatically downloading ACE and ENDF files and generating h5 files from these inputs.
History
The package was originally conceived by Jonathan Shimwell as a means of downloading a minimal selection of data for use on continious intergration platforms. The package can also used to produce traceable and reproducable nuclear data distributions.
System Installation
To install the openmc_data_downloader you need to have Python3 installed, OpenMC is also advisable if you want to run simulations using the h5 data files but not actually madatory if you just want to download the cross sections.
pip install openmc_data_downloader
Features
The OpenMC data downloader is able to download corss section files for isotopes from nuclear data libraries.The user specifies the nuclear data libraries in order of their preference. When an isotope is found in multiple libraries it will be downloaded from the highest preference library. This avoid duplication of isotopes and provides a reproductible nuclear data enviroment.
The nuclear data h5 file are downloaded from the OpenMC-data-storage repository. Prior to being added to the repository they have been automatically processed using scripts from OpenMC data repository, these scripts convert ACE and ENDF file to h5 files.
The resulting h5 files are then used in and automated test suite of simulations to help ensure they are suitable for their intended purpose.
Isotopes for downloading can be found in a varity of ways as demonstrated below. When downloading a cross_section.xml file is automatically created and h5 files are named with their nuclear data library and the isotope. This helps avoid redownloading files that already exist locally.
Usage - command line usage
Getting a description of the input options
openmc_data_downloader --help
Downloading a single isotope from the TENDL 2019 nuclear library
openmc_data_downloader -l TENDL_2019 -i Li6
Downloading a multiple isotopes from the TENDL 2019 nuclear library
openmc_data_downloader -l TENDL_2019 -i Li6 Li7
Downloading a single element from the TENDL 2019 nuclear library
openmc_data_downloader -l TENDL_2019 -e Li
Downloading a multiple element from the TENDL 2019 nuclear library
openmc_data_downloader -l TENDL_2019 -e Li Si Na
Downloading h5 files from the ENDF/B 7.1 NNDC library to a specific folder (destination)
openmc_data_downloader -l ENDFB_71_NNDC -i Be9 -d my_h5_files
Downloading a combination of isotopes and element from the TENDL 2019 nuclear library
openmc_data_downloader -l TENDL_2019 -e Li Si Na -i Fe56 U235
Downloading all the isotopes in a materials.xml file from the TENDL 2019 nuclear library
openmc_data_downloader -l TENDL_2019 -m materials.xml
Downloading 3 isotopes from ENDF/B 7.1 NNDC (first choice) and TENDL 2019 (second choice) nuclear library
openmc_data_downloader -l TENDL_2019 ENDFB_71_NNDC -i Li6 Li7 Be9
Downloading an isotopes from ENDF/B 7.1 NNDC and setting the OPENMC_CROSS_SECTION enviromental varible to
openmc_data_downloader -l TENDL_2019 ENDFB_71_NNDC -i Li6 Li7 Be9
Usage - within a Python enviroment
When using the Python API the just_in_time_library_generator()
function
provides similar capabilities to the openmc_data_downloader
terminal
command. With one key difference being that just_in_time_library_generator()
sets the OPENMC_CROSS_SECTIONS
enviromental varible to point to the
newly created cross_sections.xml by default.
Downloading the isotopes present in an OpenMC material
import openmc
import openmc_data_downloader as odd
mat1 = openmc.Material()
mat1.add_element('Fe', 0.95)
mat1.add_element('C', 0.05)
odd.just_in_time_library_generator(
libraries='TENDL_2019',
materials=mat1
)
Downloading the isotopes present in an OpenMC material from two libraries but with a preference for ENDF/B 7.1 NNDC library over TENDL 2019
import openmc
import openmc_data_downloader as odd
mat1 = openmc.Material()
mat1.add_element('Fe', 0.95)
mat1.add_element('C', 0.05)
odd.just_in_time_library_generator(
libraries=['ENDFB_71_NNDC', 'TENDL_2019'],
materials=mat1
)
Downloading the isotopes in several OpenMC materials
import openmc
import openmc_data_downloader as odd
mat1 = openmc.Material()
mat1.add_element('Fe', 0.95)
mat1.add_element('C', 0.05)
mat2 = openmc.Material()
mat2.add_element('H', 0.66)
mat2.add_element('0', 0.33)
odd.just_in_time_library_generator(
libraries='ENDFB_71_NNDC',
materials=[mat1, mat2]
)
Downloading some isotopes and elements from the TENDL 2019 library
import openmc
import openmc_data_downloader as odd
odd.just_in_time_library_generator(
libraries='TENDL_2019',
elements=['Li', 'Be'],
isotopes=['Fe56', 'U235'],
)
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