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Read in bremsstrahlung data in IncidentPhoton.from_ace

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amandalund 2019-03-11 11:33:38 -05:00
parent b2d6a06284
commit d1afac3605
1 changed files with 68 additions and 58 deletions
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126
openmc/data/photon.py
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@ -513,6 +513,9 @@ class IncidentPhoton(EqualityMixin):
e = data.atomic_relaxation.binding_energy[shell]
rx.subshell_binding_energy = e
# Add bremsstrahlung DCS data
data._add_bremsstrahlung()
return data
@classmethod
@ -572,65 +575,8 @@ class IncidentPhoton(EqualityMixin):
data.compton_profiles['binding_energy'] = profile['binding_energy']
data.compton_profiles['J'] = [Tabulated1D(pz, J_k) for J_k in profile['J']]
# Load bremsstrahlung data if it has not yet been loaded
if not _BREMSSTRAHLUNG:
# Add data used for density effect correction
filename = os.path.join(os.path.dirname(__file__), 'density_effect.h5')
with h5py.File(filename, 'r') as f:
for i in range(1, 101):
group = f['{:03}'.format(i)]
_BREMSSTRAHLUNG[i] = {
'I': group.attrs['I'],
'num_electrons': group['num_electrons'].value,
'ionization_energy': group['ionization_energy'].value
}
filename = os.path.join(os.path.dirname(__file__), 'BREMX.DAT')
brem = open(filename, 'r').read().split()
# Incident electron kinetic energy grid in eV
_BREMSSTRAHLUNG['electron_energy'] = np.logspace(3, 9, 200)
log_energy = np.log(_BREMSSTRAHLUNG['electron_energy'])
# Get number of tabulated electron and photon energy values
n = int(brem[37])
k = int(brem[38])
# Index in data
p = 39
# Get log of incident electron kinetic energy values, used for
# cubic spline interpolation in log energy. Units are in MeV, so
# convert to eV.
logx = np.log(np.fromiter(brem[p:p+n], float, n)*EV_PER_MEV)
p += n
# Get reduced photon energy values
_BREMSSTRAHLUNG['photon_energy'] = np.fromiter(brem[p:p+k], float, k)
p += k
for i in range(1, 101):
dcs = np.empty([len(log_energy), k])
# Get the scaled cross section values for each electron energy
# and reduced photon energy for this Z. Units are in mb, so
# convert to b.
y = np.reshape(np.fromiter(brem[p:p+n*k], float, n*k), (n, k))*1.0e-3
p += k*n
for j in range(k):
# Cubic spline interpolation in log energy and linear DCS
cs = CubicSpline(logx, y[:,j])
# Get scaled DCS values (millibarns) on new energy grid
dcs[:,j] = cs(log_energy)
_BREMSSTRAHLUNG[i]['dcs'] = dcs
# Add bremsstrahlung DCS data
data.bremsstrahlung['electron_energy'] = _BREMSSTRAHLUNG['electron_energy']
data.bremsstrahlung['photon_energy'] = _BREMSSTRAHLUNG['photon_energy']
data.bremsstrahlung.update(_BREMSSTRAHLUNG[Z])
data._add_bremsstrahlung()
return data
@ -761,6 +707,70 @@ class IncidentPhoton(EqualityMixin):
else:
brem_group.create_dataset(key, data=value)
def _add_bremsstrahlung(self):
"""Add the data used in the thick-target bremsstrahlung approximation
"""
# Load bremsstrahlung data if it has not yet been loaded
if not _BREMSSTRAHLUNG:
# Add data used for density effect correction
filename = os.path.join(os.path.dirname(__file__), 'density_effect.h5')
with h5py.File(filename, 'r') as f:
for i in range(1, 101):
group = f['{:03}'.format(i)]
_BREMSSTRAHLUNG[i] = {
'I': group.attrs['I'],
'num_electrons': group['num_electrons'].value,
'ionization_energy': group['ionization_energy'].value
}
filename = os.path.join(os.path.dirname(__file__), 'BREMX.DAT')
brem = open(filename, 'r').read().split()
# Incident electron kinetic energy grid in eV
_BREMSSTRAHLUNG['electron_energy'] = np.logspace(3, 9, 200)
log_energy = np.log(_BREMSSTRAHLUNG['electron_energy'])
# Get number of tabulated electron and photon energy values
n = int(brem[37])
k = int(brem[38])
# Index in data
p = 39
# Get log of incident electron kinetic energy values, used for
# cubic spline interpolation in log energy. Units are in MeV, so
# convert to eV.
logx = np.log(np.fromiter(brem[p:p+n], float, n)*EV_PER_MEV)
p += n
# Get reduced photon energy values
_BREMSSTRAHLUNG['photon_energy'] = np.fromiter(brem[p:p+k], float, k)
p += k
for i in range(1, 101):
dcs = np.empty([len(log_energy), k])
# Get the scaled cross section values for each electron energy
# and reduced photon energy for this Z. Units are in mb, so
# convert to b.
y = np.reshape(np.fromiter(brem[p:p+n*k], float, n*k), (n, k))*1.0e-3
p += k*n
for j in range(k):
# Cubic spline interpolation in log energy and linear DCS
cs = CubicSpline(logx, y[:,j])
# Get scaled DCS values (millibarns) on new energy grid
dcs[:,j] = cs(log_energy)
_BREMSSTRAHLUNG[i]['dcs'] = dcs
# Add bremsstrahlung DCS data
self.bremsstrahlung['electron_energy'] = _BREMSSTRAHLUNG['electron_energy']
self.bremsstrahlung['photon_energy'] = _BREMSSTRAHLUNG['photon_energy']
self.bremsstrahlung.update(_BREMSSTRAHLUNG[self.atomic_number])
class PhotonReaction(EqualityMixin):
"""Photon-induced reaction