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https://github.com/openmc-dev/openmc.git
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106 lines
3.2 KiB
Python
Executable file
106 lines
3.2 KiB
Python
Executable file
#!/usr/bin/env python
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"""
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Download ENDF/B-VII.1 ENDF data from NNDC for photo-atomic and atomic
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relaxation data and convert it to an HDF5 library for use with OpenMC.
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This data is used for photon transport in OpenMC.
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"""
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import os
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import sys
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import shutil
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import zipfile
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import argparse
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from io import BytesIO
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from urllib.request import urlopen
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import openmc.data
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class CustomFormatter(argparse.ArgumentDefaultsHelpFormatter,
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argparse.RawDescriptionHelpFormatter):
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pass
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parser = argparse.ArgumentParser(
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description=__doc__,
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formatter_class=CustomFormatter
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)
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parser.add_argument('-c', '--cross-sections',
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help='cross_sections.xml file to append libraries to')
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args = parser.parse_args()
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base_url = 'http://www.nndc.bnl.gov/endf/b7.1/zips/'
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files = ['ENDF-B-VII.1-photoat.zip', 'ENDF-B-VII.1-atomic_relax.zip']
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block_size = 16384
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# ==============================================================================
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# DOWNLOAD FILES FROM NNDC SITE
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if not os.path.exists('photon_hdf5'):
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os.mkdir('photon_hdf5')
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for f in files:
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# Establish connection to URL
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url = base_url + f
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req = urlopen(url)
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# Get file size from header
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file_size = req.length
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downloaded = 0
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# Check if file already downloaded
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if os.path.exists(f):
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if os.path.getsize(f) == file_size:
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print('Skipping ' + f)
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continue
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else:
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overwrite = input('Overwrite {}? ([y]/n) '.format(f))
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if overwrite.lower().startswith('n'):
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continue
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# Copy file to disk
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print('Downloading {}... '.format(f), end='')
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with open(f, 'wb') as fh:
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while True:
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chunk = req.read(block_size)
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if not chunk: break
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fh.write(chunk)
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downloaded += len(chunk)
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status = '{0:10} [{1:3.2f}%]'.format(
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downloaded, downloaded * 100. / file_size)
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print(status + chr(8)*len(status), end='')
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print('')
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# ==============================================================================
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# EXTRACT FILES
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for f in files:
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print('Extracting {0}...'.format(f))
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zipfile.ZipFile(f).extractall()
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# ==============================================================================
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# GENERATE HDF5 DATA LIBRARY
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# If previous cross_sections.xml was specified, load it in
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if args.cross_sections is not None:
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lib_path = args.cross_sections
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library = openmc.data.DataLibrary.from_xml(lib_path)
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else:
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lib_path = os.path.join('photon_hdf5', 'cross_sections.xml')
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library = openmc.data.DataLibrary()
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for z in range(1, 101):
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element = openmc.data.ATOMIC_SYMBOL[z]
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print('Generating HDF5 file for Z={} ({})...'.format(z, element))
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# Generate instance of IncidentPhoton
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photo_file = os.path.join('photoat', 'photoat-{:03}_{}_000.endf'.format(z, element))
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atom_file = os.path.join('atomic_relax', 'atom-{:03}_{}_000.endf'.format(z, element))
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f = openmc.data.IncidentPhoton.from_endf(photo_file, atom_file)
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# Write HDF5 file and register it
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hdf5_file = os.path.join('photon_hdf5', element + '.h5')
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f.export_to_hdf5(hdf5_file, 'w')
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library.register_file(hdf5_file)
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library.export_to_xml(lib_path)
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