def get_sigma_f_n(iso):
"""Grabs an isotope's fission cross-section from the nuc_data library.
Args:
* iso (zzaaam): Isotope name, in appropriate form.
Returns:
* sigma_f_n (numpy array): This isotope's fission cross-section pulled from the
database library file. If not present in the library, a zero-array is returned.
"""
with tb.openFile(nuc_data, 'r') as f:
N = f.root.neutron.xs_mg.fission.coldescrs['xs'].shape[0]
rows = [np.array(row['xs']) for row in f.root.neutron.xs_mg.fission.where('iso_zz == {0}'.format(iso))]
if len(rows) == 0:
# Not fissionable, return zero-array
sigma_f_n = np.zeros(N, dtype=float)
elif len(rows) == 1:
# Return cross-section from file
sigma_f_n = rows[0]
else:
iso_LL = isoname.zzaaam_2_LLAAAM(iso)
err_str = "The database contains multiple entries for the fission cross-section for {0}!".format(iso_LL)
raise ValueError(err_str)
return sigma_f_n
def write_H5(h5name = "reactor.h5"):
"Writes the reactor to an HDF5 File"
libfile = tables.openFile(h5name, mode = "w", title = '{0} One Group Library'.format(Reactor))
lbr = libfile.root
libfile.createArray(lbr, "Fluence", F, "Time Integrated Flux [n/kb]")
FromIso = []
ToIso = []
#Create Groups
libfile.createGroup(lbr, "Burnup")
libfile.createGroup(lbr, "Production")
libfile.createGroup(lbr, "Destruction")
libfile.createGroup(lbr, "Transmutation")
#Fill Groups
for iso in BUi_F_.keys():
iso_LL = isoname.zzaaam_2_LLAAAM(int(iso))
libfile.createArray("/Burnup", iso_LL, BUi_F_[iso], "Burnup BU(F) for {0} [MWd/kgIHM]".format(iso_LL))
FromIso.append(iso_LL)
for iso in pi_F_.keys():
iso_LL = isoname.zzaaam_2_LLAAAM(int(iso))
libfile.createArray("/Production", iso_LL, pi_F_[iso], "Neutron Production Rate p(F) for {0}".format(iso_LL))
for iso in di_F_.keys():
iso_LL = isoname.zzaaam_2_LLAAAM(int(iso))
libfile.createArray("/Destruction", iso_LL, di_F_[iso], "Neutron Destruction Rate d(F) for {0}".format(iso_LL))
for i in Tij_F_.keys():
i_LL = isoname.zzaaam_2_LLAAAM(int(i))
libfile.createGroup("/Transmutation", i_LL)
for j in Tij_F_[i].keys():
j_LL = isoname.zzaaam_2_LLAAAM(int(j))
libfile.createArray("/Transmutation/" + i_LL, j_LL, Tij_F_[i][j], "Transmutation Matrix T(F) from {0} to {1}".format(i_LL, j_LL))
if int(i) == 922350:
ToIso.append(j_LL)
libfile.createArray(lbr, "FromIso_LL", FromIso, "Initial Loading Nuclide List (LL)")
libfile.createArray(lbr, "FromIso_zz", isoname.LLAAAM_2_zzaaam_List(FromIso), "Initial Loading Nuclide List (zz)")
libfile.createArray(lbr, "ToIso_LL", ToIso, "Transmutation Nuclide List (LL)")
libfile.createArray(lbr, "ToIso_zz", isoname.LLAAAM_2_zzaaam_List(ToIso), "Transmutation Nuclide List (zz)")
libfile.close()
return
def _grab_photon_fp_info(raw_data):
"""Grabs the photon fission product info.
Args:
* raw_data (str): string of the cinder.dat data file.
Returns:
* info_table (list of tuples): elements are tuples that have the form
"(index, iso_LL, iso_zz, type, mass)".
"""
# Get group sizes
N_n, N_g = _get_fp_sizes(raw_data)
# Grab the part of the file that is a neutron fission product yield info
m_info = re.search(gfp_info_pattern, raw_data, re.DOTALL)
gfp_info_raw = m_info.group(0)
# Grab the index, isotope, and type
iits = re.findall(iit_pattern, gfp_info_raw)
# Grab the masses
masses = re.findall(mass_pattern, gfp_info_raw)
# Make sure data is the right size
assert N_g == len(iits)
assert N_g == len(masses)
# Make info table rows
info_table = []
for m in range(N_g):
iit = iits[m]
index = int(iit[0])
iso_zz = isoname.LLAAAM_2_zzaaam(iit[1])
# Correct for metastable flag
if 0 != iso_zz%10:
iso_zz = iso_zz + 2000
iso_LL = isoname.zzaaam_2_LLAAAM(iso_zz)
type = fp_type_flag[iit[2]]
mass = float(masses[m])
info_row = (index, iso_LL, iso_zz, type, mass)
info_table.append(info_row)
return info_table
def test_zzaaam_2_LLAAAM(self):
assert_equal(isoname.zzaaam_2_LLAAAM(942390), "PU239")
assert_equal(isoname.zzaaam_2_LLAAAM(952421), "AM242M")
def make_neutron_fp_yields(h5_file='nuc_data.h5', data_file='cinder.dat'):
"""Adds the neutron fission product yields to the hdf5 library.
Keyword Args:
* h5_file (str): path to hdf5 file.
* data_file (str): path to the cinder.dat data file.
"""
# Open the HDF5 File
kdb = tb.openFile(h5_file, 'a')
# Ensure that the appropriate file structure is present
_init_fission_products(kdb)
# Read in cinder data file
with open(data_file, 'r') as f:
raw_data = f.read()
# Get group sizes
N_n, N_g = _get_fp_sizes(raw_data)
# get the info table
info_table = _grab_neutron_fp_info(raw_data)
# Grab the part of the file that is a neutron fission product yields
m_yields = re.search(nfp_yields_pattern, raw_data, re.DOTALL)
nfp_yields_raw = m_yields.group(0)
# Init the neutron fission product info table
nfp_table = kdb.createTable('/neutron/fission_products/', 'yields', fp_yields_desc,
'Neutron Fission Product Yields')
nfprow = nfp_table.row
# Iterate over all to-isos
fp_to_iso_pattern = fp_to_iso_base + N_n*fp_to_iso_insert + ")"
for m_to in re.finditer(fp_to_iso_pattern, nfp_yields_raw):
to_iso_zz = cinder_2_zzaaam(m_to.group(2))
# Check matestable state
if 1 < to_iso_zz%10:
# Metastable state too high!
continue
to_iso_LL = isoname.zzaaam_2_LLAAAM(to_iso_zz)
# Get the array of yield data
yields = np.array(m_to.group(3).split(), dtype=float)
assert len(yields) == N_n
# Prep rows to the table
for n in range(N_n):
info = info_table[n]
nfprow['index'] = info[0]
nfprow['from_iso_LL'] = info[1]
nfprow['from_iso_zz'] = info[2]
nfprow['to_iso_LL'] = to_iso_LL
nfprow['to_iso_zz'] = to_iso_zz
nfprow['mass_frac'] = yields[n]
nfprow.append()
# Write the table
nfp_table.flush()
# Close the hdf5 file
kdb.close()
def make_mg_gamma_decay(h5_file='nuc_data.h5', data_file='cinder.dat'):
"""Adds the gamma decay spectrum information to the hdf5 library.
Keyword Args:
* h5_file (str): path to hdf5 file.
* data_file (str): path to the cinder.dat data file.
"""
# Open the HDF5 File
kdb = tb.openFile(h5_file, 'a')
# Ensure that the appropriate file structure is present
_init_multigroup(kdb)
# Read in cinder data file
with open(data_file, 'r') as f:
raw_data = f.read()
# Get group sizes
nuclides, G_n, G_p, G_g = _get_groups_sizes(raw_data)
# Init the gamma absorption table
gamma_decay_desc['spectrum'] = tb.Float64Col(shape=(G_g, ), pos=4)
gamma_decay_table = kdb.createTable('/photon/source/', 'decay_spectra', gamma_decay_desc,
'Gamma decay spectrum [MeV]')
gdrow = gamma_decay_table.row
# Init to_iso_pattern
gamma_decay_pattern = gamma_decay_base + ("\s+("+cinder_float+")")*G_g
# Iterate through all from isotopes.
for m_from in re.finditer(from_iso_pattern, raw_data, re.DOTALL):
from_iso_zz = cinder_2_zzaaam(m_from.group(1))
# Check matestable state
if 1 < from_iso_zz%10:
# Metastable state too high!
continue
from_iso_LL = isoname.zzaaam_2_LLAAAM(from_iso_zz)
# Grab the string for this from_iso in order to get all of the to_isos
from_iso_part = m_from.group(0)
# Grab the fission part
m_gd = re.search(gamma_decay_pattern, from_iso_part)
if m_gd is None:
continue
# Grab base data
scale = float(m_gd.group(1))
energy = float(m_gd.group(2))
# Grab spectrum
spectrum = np.array(m_gd.groups()[2:], dtype=float)
assert spectrum.shape == (G_g, )
# Prepare the row
gdrow['iso_LL'] = from_iso_LL
gdrow['iso_zz'] = from_iso_zz
gdrow['energy'] = energy
gdrow['scaling_factor'] = scale
gdrow['spectrum'] = spectrum
# Write out the row
gdrow.append()
gamma_decay_table.flush()
# Close the hdf5 file
kdb.close()
def make_mg_fission(h5_file='nuc_data.h5', data_file='cinder.dat'):
"""Adds the fission reaction rate cross sections to the hdf5 library.
Keyword Args:
* h5_file (str): path to hdf5 file.
* data_file (str): path to the cinder.dat data file.
"""
# Open the HDF5 File
kdb = tb.openFile(h5_file, 'a')
# Ensure that the appropriate file structure is present
_init_multigroup(kdb)
# Read in cinder data file
with open(data_file, 'r') as f:
raw_data = f.read()
# Get group sizes
nuclides, G_n, G_p, G_g = _get_groups_sizes(raw_data)
# Init the neutron absorption table
fission_desc['xs'] = tb.Float64Col(shape=(G_n, ), pos=5)
fission_table = kdb.createTable('/neutron/xs_mg/', 'fission', fission_desc,
'Neutron fission reaction rate cross sections [barns]')
frow = fission_table.row
# Init to_iso_pattern
fission_pattern = fission_base + ("\s+("+cinder_float+")")*G_n
# Iterate through all from isotopes.
for m_from in re.finditer(from_iso_pattern, raw_data, re.DOTALL):
from_iso_zz = cinder_2_zzaaam(m_from.group(1))
# Check matestable state
if 1 < from_iso_zz%10:
# Metastable state too high!
continue
from_iso_LL = isoname.zzaaam_2_LLAAAM(from_iso_zz)
# Grab the string for this from_iso in order to get all of the to_isos
from_iso_part = m_from.group(0)
# Grab the fission part
m_fission = re.search(fission_pattern, from_iso_part)
if m_fission is None:
continue
# Grab yield indexes
yield_t = int(m_fission.group(1))
yield_f = int(m_fission.group(2))
yield_h = int(m_fission.group(3))
# Grab XS array
xs = np.array(m_fission.groups()[3:], dtype=float)
assert xs.shape == (G_n, )
# Write fission table row
frow['iso_LL'] = from_iso_LL
frow['iso_zz'] = from_iso_zz
frow['thermal_yield'] = yield_t
frow['fast_yield'] = yield_f
frow['high_energy_yield'] = yield_h
frow['xs'] = xs
# Write out this row
frow.append()
fission_table.flush()
# Close the hdf5 file
kdb.close()
def make_mg_absorption(h5_file='nuc_data.h5', data_file='cinder.dat'):
"""Adds the absorption reaction rate cross sections to the hdf5 library.
Keyword Args:
* h5_file (str): path to hdf5 file.
* data_file (str): path to the cinder.dat data file.
"""
# Open the HDF5 File
kdb = tb.openFile(h5_file, 'a')
# Ensure that the appropriate file structure is present
_init_multigroup(kdb)
# Read in cinder data file
with open(data_file, 'r') as f:
raw_data = f.read()
# Get group sizes
nuclides, G_n, G_p, G_g = _get_groups_sizes(raw_data)
# Init the neutron absorption table
absorption_desc['xs'] = tb.Float64Col(shape=(G_n, ), pos=5)
absorption_table = kdb.createTable('/neutron/xs_mg/', 'absorption', absorption_desc,
'Neutron absorption reaction rate cross sections [barns]')
abrow = absorption_table.row
# Init to_iso_pattern
to_iso_pattern = to_iso_base + ("\s+("+cinder_float+")")*G_n
# Iterate through all from isotopes.
for m_from in re.finditer(from_iso_pattern, raw_data, re.DOTALL):
from_iso_zz = cinder_2_zzaaam(m_from.group(1))
# Check matestable state
if 1 < from_iso_zz%10:
# Metastable state too high!
continue
from_iso_LL = isoname.zzaaam_2_LLAAAM(from_iso_zz)
# Grab the string for this from_iso in order to get all of the to_isos
from_iso_part = m_from.group(0)
# Iterate over all to_isos
for m_to in re.finditer(to_iso_pattern, from_iso_part):
to_iso_zz = cinder_2_zzaaam(m_to.group(1))
# Check matestable state
if 1 < to_iso_zz%10:
# Metastable state too high!
continue
to_iso_LL = isoname.zzaaam_2_LLAAAM(to_iso_zz)
# Munge reaction type
rx_type = m_to.group(2)
rx_type = rx_type.strip()
# Setup XS array
xs = np.array(m_to.groups()[2:], dtype=float)
assert xs.shape == (G_n, )
# Write this row to the absorption table
abrow['from_iso_LL'] = from_iso_LL
abrow['from_iso_zz'] = from_iso_zz
abrow['to_iso_LL'] = to_iso_LL
abrow['to_iso_zz'] = to_iso_zz
abrow['reaction_type'] = rx_type
abrow['xs'] = xs
abrow.append()
# Flush this from iso
absorption_table.flush()
# Close the hdf5 file
kdb.close()
def calc_diff(r, n, name=""):
print "Summary for {0}:".format(name)
print "Reactor: "
print repr(r)
print "NEA: "
print repr(n)
print "Fractional Diff: "
diff = 1.0 - r / n
print repr(diff)
print
return r, n, diff
if __name__ == "__main__":
raise SystemExit("NEA test cas currently broken... use test_reactormg_regression.py instead.")
rmg, ms_nea = test_regression()
r_BU, n_BU, diff_BU = calc_diff(rmg.BUd, 40.0, "Burnup")
rmg_comp = rmg.mat_prod.mult_by_mass()
nea_comp = ms_nea.mult_by_mass()
for key in nea_comp.keys():
if key in rmg_comp:
r_, n_, diff_ = calc_diff(rmg_comp[key], nea_comp[key], "Mass of " + isoname.zzaaam_2_LLAAAM(key))
mss = [MassStream({i: T_it[i][t] for i in T_it.keys()}) for t in range(len(rmg.burn_times))]
masses = r_mass, s_mass, diff_mass = calc_diff(np.array([ms.mass for ms in mss]), 1.0, "Mass")
