def plotGroupXS(group_xs, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Plot Resonance Integrals
fig = plt.figure()
bins = group_xs.bin_edges
plt.semilogx(bins[0:-1], group_xs.groupXS[:, :], drawstyle='steps-post')
plt.xlabel('Energy [eV]')
plt.ylabel('Group XS')
plt.grid()
if title is '':
plt.title('Group XS')
else:
plt.title(title.title() + ' Group XS')
if filename is '':
filename = directory + '/group-xs.png'
else:
filename = directory + filename.replace(' ', '-').lower() + \
'-group-xs.png'
plt.savefig(filename)
def plotRI(RI, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Plot Resonance Integrals
fig = plt.figure()
bins = RI.bin_edges
plt.semilogx(bins[0:-1], RI.RIs, drawstyle='steps-post')
plt.xlabel('Energy [eV]')
plt.ylabel('RI')
plt.grid()
if title is '':
plt.title('Resonance Integrals')
else:
plt.title(title.title() + ' Resonance Integrals')
if filename is '':
filename = directory + 'RI.png'
else:
filename = directory + filename.replace(' ', '-').lower() +'-RI.png'
plt.savefig(filename)
plt.close(fig)
def plotGroupXS(group_xs, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Plot Resonance Integrals
fig = plt.figure()
bins = group_xs.bin_edges
plt.semilogx(bins[0:-1], group_xs.groupXS[:,:], drawstyle='steps-post')
plt.xlabel('Energy [eV]')
plt.ylabel('Group XS')
plt.grid()
if title is '':
plt.title('Group XS')
else:
plt.title(title.title() + ' Group XS')
if filename is '':
filename = directory + '/group-xs.png'
else:
filename = directory + filename.replace(' ', '-').lower() + \
'-group-xs.png'
plt.savefig(filename)
plt.close(fig)
def plotRI(RI, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Plot Resonance Integrals
fig = plt.figure()
bins = RI.bin_edges
plt.semilogx(bins[0:-1], RI.RIs, drawstyle='steps-post')
plt.xlabel('Energy [eV]')
plt.ylabel('RI')
plt.grid()
if title is '':
plt.title('Resonance Integrals')
else:
plt.title(title.title() + ' Resonance Integrals')
if filename is '':
filename = directory + 'RI.png'
else:
filename = directory + filename.replace(' ', '-').lower() +'-RI.png'
plt.savefig(filename)
def plotFlux(fluxes, loglog=True, uselegend=False, title='', filename=''):
global flux_plot_num
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Make fluxes a list if it is not already
if type(fluxes) is not list:
fluxes = [fluxes]
legend = []
fig = plt.figure()
for flux in fluxes:
if not flux.hasComputedBatchStatistics():
flux.computeBatchStatistics()
num_bins = flux.getNumBins()
flux_bin_centers = flux.retrieveTallyCenters(num_bins)
flux_mu = flux.retrieveTallyMu(num_bins)
# Plot the flux
plt.plot(flux_bin_centers, flux_mu, lw=1)
legend.append(flux.getTallyName())
plt.xlabel('Energy [eV]')
plt.ylabel('Flux')
plt.grid()
if (loglog):
plt.xscale('log')
plt.yscale('log')
if (uselegend):
plt.legend(legend, loc='lower right', prop={'size':12})
if title is '':
plt.title('Batch-Averaged Flux')
else:
plt.title(title.title())
if filename is '':
filename = directory + '/' + 'flux-' + str(flux_plot_num) + '.png'
flux_plot_num += 1
else:
filename = directory + '/' + filename.replace(' ', '-') + '.png'
fig.savefig(filename)
plt.close(fig)
def plotFissionSourceDist(geometry, num_samples=1000, filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Error checking
if not isinstance(geometry, Geometry):
py_printf('ERROR', 'Unable to plot the fission source distribution ' + \
'since the parameters did not include a geometry class object')
if geometry.getSpatialType() != HETEROGENEOUS:
py_printf('ERROR', 'Unable to plot the fission source distribution ' + \
'since for a non HETEROGENEOUS type geometry')
if not isinstance(num_samples, int):
py_printf('ERROR', 'Unable to plot the fission source distribution ' + \
'since a non-integer number of samples was input')
if num_samples < 0:
py_printf('ERROR', 'Unable to plot the fission source distribution ' + \
'for %d number of particle since it is negative', num_samples)
neutron = createNewNeutron()
x = []
y = []
u = []
v = []
# Sample fission source neutrons and save their locations and velocity vectors
for i in range(1000):
geometry.initializeSourceNeutron(neutron)
x.append(neutron._x)
y.append(neutron._y)
u.append(neutron._u)
v.append(neutron._v)
# Plot the vector field
plt.figure()
plt.quiver(x,y,u,v,angles='xy', color='r')
plt.title('Fission Source Distribution')
if filename is '':
filename = directory + '/' + 'fission-site-dist.png'
else:
filename = directory + filename.replace(' ', '-').lower() + '-.png'
plt.savefig(filename)
plt.close(fig)
def plotMicroXS(isotope, rxns, loglog=True, uselegend=True, \
title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# make figure
fig = plt.figure()
# loop over rxns and plot
num_energies = 0
# Loop over all reaction rate types
for rxn in rxns:
# retrieve xs and xsenergies
num_energies = isotope.getNumXSEnergies(rxn)
energies = isotope.retrieveXSEnergies(num_energies, rxn)
xs = isotope.retrieveXS(num_energies, rxn)
# plot xs
plt.plot(energies, xs, lw=1)
plt.xlabel('Energy [eV]')
plt.ylabel('$\sigma$' +' [b]')
plt.grid()
if (uselegend):
plt.legend(rxns, loc='lower left')
if (loglog):
plt.xscale('log')
plt.yscale('log')
plt.title(isotope.getIsotopeName() + ' Microscopic XS')
if title is '':
plt.title(isotope.getIsotopeName() + ' Microscopic XS')
else:
plt.title(title.title())
if filename is '':
filename = directory + isotope.getIsotopeName() + '-micro-xs.png'
else:
filename = directory + filename.replace(' ', '-').lower() + '.png'
fig.savefig(filename)
plt.close(fig)
def plotFissionSpectrum():
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Generate fission CDF
fissioner = Fissioner()
fissioner.setNumBins(10000)
fissioner.setEMax(20)
fissioner.buildCDF()
cdf = fissioner.retrieveCDF(fissioner.getNumBins())
cdf_energies = fissioner.retrieveCDFEnergies(fissioner.getNumBins())
# Plot fission CDF
fig = plt.figure()
plt.plot(cdf_energies, cdf)
plt.xscale('log')
plt.xlabel('Energy [MeV]')
plt.ylabel('Cumulative Probability')
plt.grid()
plt.title('Watt Spectrum CDF')
filename = directory + '/' + 'fission-spectrum-cdf.png'
plt.savefig(filename)
# Sample from fission CDF to get fission spectrum
num_samples = 10000000
emitted_energies = np.zeros(num_samples)
for i in range(num_samples):
emitted_energies[i] = fissioner.emitNeutronMeV()
# Bin the samples
binned_samples, bin_edges = np.histogram(emitted_energies,
bins=1000,
density=True)
bin_centers = np.zeros(bin_edges.size - 1)
for i in range(bin_edges.size - 1):
bin_centers[i] = (bin_edges[i] + bin_edges[i + 1]) / 2.0
# Plot fission spectrum
fig = plt.figure()
plt.plot(bin_centers, binned_samples)
plt.xlabel('Energy [MeV]')
plt.ylabel('Probability')
plt.grid()
plt.title('Watt Spectrum PDF')
filename = directory + '/fission_spectrum_pdf.png'
plt.savefig(filename)
def plotFissionSpectrum():
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Generate fission CDF
fissioner = pinspec.Fissioner()
fissioner.setNumBins(10000)
fissioner.setEMax(20)
fissioner.buildCDF()
cdf = fissioner.retrieveCDF(fissioner.getNumBins())
cdf_energies = fissioner.retrieveCDFEnergies(fissioner.getNumBins())
# Plot fission CDF
fig = plt.figure()
plt.plot(cdf_energies, cdf)
plt.xscale('log')
plt.xlabel('Energy [MeV]')
plt.ylabel('Cumulative Probability')
plt.grid()
plt.title('Watt Spectrum CDF')
filename = directory + '/' + 'fission-spectrum-cdf.png'
plt.savefig(filename)
# Sample from fission CDF to get fission spectrum
num_samples = 10000000
emitted_energies = np.zeros(num_samples)
for i in range(num_samples):
emitted_energies[i] = fissioner.emitNeutronMeV()
# Bin the samples
binned_samples, bin_edges = np.histogram(emitted_energies, bins=1000,
density=True)
bin_centers = np.zeros(bin_edges.size-1)
for i in range(bin_edges.size-1):
bin_centers[i] = (bin_edges[i] + bin_edges[i+1]) / 2.0
# Plot fission spectrum
fig = plt.figure()
plt.plot(bin_centers, binned_samples)
plt.xlabel('Energy [MeV]')
plt.ylabel('Probability')
plt.grid()
plt.title('Watt Spectrum PDF')
filename = directory + '/fission_spectrum_pdf.png'
plt.savefig(filename)
plt.close(fig)
def plotMacroXS(material, rxns, loglog=True, \
uselegend=True, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# make figure
fig = plt.figure()
# loop over rxns and plot
num_energies = 0
for rxn in rxns:
# retrieve xs and xs energies
num_energies = material.getNumXSEnergies(rxn)
energies = material.retrieveXSEnergies(num_energies, rxn)
xs = material.retrieveXS(num_energies, rxn)
# plot xs
plt.plot(energies, xs, lw=1)
plt.xlabel('Energy [eV]')
plt.ylabel('$\Sigma$'+' ['+'cm$^{-1}$'+']')
plt.grid()
if (uselegend):
plt.legend(rxns, loc='lower left')
if (loglog):
plt.xscale('log')
plt.yscale('log')
if title is '':
plt.title(material.getMaterialName() + ' Macroscopic XS')
else:
plt.title(title.title())
if filename is '':
filename = directory + material.getMaterialName() + '-macro-xs.png'
else:
filename = directory + filename.replace(' ', '-') + '.png'
fig.savefig(filename)
plt.close(fig)
def trackANeutron(geometry, plane='XY', num_moves=100, loc=0.0, \
lim1=[-2., 2.], lim2=[-2., 2.], gridsize=100, filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Error checking
if not isinstance(geometry, Geometry):
py_printf('ERROR', 'Unable to track a neutron since input ' + \
'did not contain a geometry class object')
if geometry.getSpatialType() != HETEROGENEOUS:
py_printf('ERROR', 'Unable to track a neutron since geometry is ' + \
'not a HETEROGENEOUS type geometry')
if not isinstance(num_moves, int):
py_printf('ERROR', 'Unable to track a neutrons since the number ' + \
'of moves input is %s which is not an integer', \
str(num_moves))
if (num_moves < 0):
py_printf('ERROR', 'Unable to track a neutron since the number ' + \
'of moves input is %d which is negative', num_moves)
if not isinstance(plane, str):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
str(plane))
if plane.lower() != 'xy' and plane.lower() != 'xz' \
and plane.lower() != 'yz':
print 'plane.lower = ' + str(plane.lower())
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
plane)
if len(lim1) is not 2:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the lim1 parameter is of length %d rather than 2',
plane, len(lim1))
if len(lim2) is not 2:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the lim2 parameter is of length %d rather than 2',
plane, len(lim2))
if not isinstance(lim1[0], float) or not isinstance(lim1[1], float):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since lim1 does not contain floating point values', plane)
if not isinstance(lim2[0], float) or not isinstance(lim2[1], float):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since lim2 does not contain floating point values', plane)
if lim1[0] >= lim1[1]:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the minimum lim1 value (%f) is greater than the ' + \
'maximum lim1 value (%f)', plane, lim1[0], lim1[1])
if lim2[0] >= lim2[1]:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the minimum lim2 value (%f) is greater than the ' + \
'maximum lim2 value (%f)', plane, lim2[0], lim2[1])
if not isinstance(gridsize, int):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the gridsize %s is not an integer', plane,
str(gridsize))
if gridsize <= 0:
py_printf('Error', 'Unable to track a neutron since for slice %s ' + \
'for a negative gridsize (%d)', plane, gridsize)
if not isinstance(loc, float):
py_printf('Error', 'Unable to track a neutron for slice %s ' + \
'since the input location of the slice is not a number', plane)
# First plot the regions in the geometry as a backdrop for the
# neutron's path
# Initialize a numpy array for the surface colors
surface = numpy.zeros((gridsize, gridsize), dtype=np.int32)
# Initialize
dim1 = np.linspace(lim1[0], lim1[1], gridsize)
dim2 = np.linspace(lim2[0], lim2[1], gridsize)
if plane.lower() == 'xy':
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if geometry.contains(dim1[i], dim2[j], loc):
region = geometry.findContainingRegion(dim1[i], \
dim2[j], loc)
surface[j][i] = region.getUid()
if plane.lower() == 'xz':
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if geometry.contains(dim1[i], loc, dim2[j]):
region = geometry.findContainingRegion(
dim1[i], loc, dim2[j])
surface[j][i] = region.getUid()
if plane.lower() == 'yz':
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if geometry.contains(loc, dim1[i], dim2[j]):
region = geometry.findContainingRegion(
loc, dim1[i], dim2[j])
surface[j][i] = region.getUid()
# Plot the regions in the geometry
fig = plt.figure()
plt.pcolor(dim1, dim2, surface)
plt.axis([lim1[0], lim1[1], lim2[0], lim2[1]])
# Create a neutron to track
neutron = createNewNeutron()
geometry.initializeSourceNeutron(neutron)
# Initialize empty lists to track the neutron's location
x = []
y = []
z = []
# Track the neutron
for i in range(num_moves):
# If the neutron was killed on the last collision, then break loop
if not neutron._alive:
break
geometry.findContainingRegion(neutron)
region = neutron._region
region.collideNeutron(neutron)
x.append(neutron._x)
y.append(neutron._y)
z.append(neutron._z)
# Plot the neutron path throughout the geometry
if plane.lower() == 'xy':
plt.plot(x, y, 'b-')
plt.plot(x, y, 'bo', markersize=7, markeredgecolor='w')
elif plane.lower() == 'yz':
plt.plot(y, z, 'b-')
plt.plot(y, z, 'bo', markersize=7, markeredgecolor='w')
else:
plt.plot(x, z, 'b-')
plt.plot(x, z, 'bo', markersize=7, markeredgecolor='w')
plt.title('Tracking a Neutron in ' + plane.upper())
if filename is '':
filename = directory + '/' + 'track-a-neutron-' + plane.lower(
) + '.png'
else:
filename = directory + filename.replace(' ', '-').lower() + \
'-' + plane.lower() + '-.png'
plt.savefig(filename)
def plotSlice(space,
plane='XY',
loc=0.0,
lim1=[-2., 2.],
lim2=[-2., 2.],
gridsize=100,
filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Error checking
if not isinstance(space, (BoundedModeratorRegion, BoundedFuelRegion, \
BoundedGeneralRegion, Geometry)):
py_printf('ERROR', 'Unable to plot a %s slice since input ' + \
'did not contain a region or geometry', plane)
if not isinstance(plane, str):
py_printf('ERROR', 'Unable to plot a %s slice for space %s.' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
str(plane), space.getName())
if plane.lower() != 'xy' and plane.lower() != 'xz' \
and plane.lower() != 'yz':
print 'plane.lower = ' + str(plane.lower())
py_printf('ERROR', 'Unable to plot a %s slice for space %s.' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
plane, space.getName())
if len(lim1) is not 2:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the lim1 parameter is of length %d rather than 2',
plane, space.getName(), len(lim1))
if len(lim2) is not 2:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the lim2 parameter is of length %d rather than 2',
plane, space.getName(), len(lim2))
if not isinstance(lim1[0], float) or not isinstance(lim1[1], float):
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'lim1 does not contain floating point values', plane,
space.getName())
if not isinstance(lim2[0], float) or not isinstance(lim2[1], float):
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'lim2 does not contain floating point values', plane,
space.getName())
if lim1[0] >= lim1[1]:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the minimum lim1 value (%f) is greater than the ' + \
'maximum lim1 value (%f)', space.getName(), plane,
lim1[0], lim1[1])
if lim2[0] >= lim2[1]:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the minimum lim2 value (%f) is greater than the ' + \
'maximum lim2 value (%f)', space.getName(), plane,
lim2[0], lim2[1])
if not isinstance(gridsize, int):
py_printf('ERROR', 'Unable to plot a %s slice for space %s ' + \
'Since the gridsize %s is not an integer', plane,
space.getName(), str(gridsize))
if gridsize <= 0:
py_printf('Error', 'Unable to plot a %s slice for space %s ' + \
'with a negative gridsize (%d)', plane,
space.getName(), gridsize)
if not isinstance(loc, float):
py_printf('Error', 'Unable to plot a %s slice for space %s ' + \
'since the input location of the slice is not a number',
plane, space.getName())
# Initialize a numpy array for the surface colors
surface = numpy.zeros((gridsize, gridsize), dtype=np.int32)
dim1 = np.linspace(lim1[0], lim1[1], gridsize)
dim2 = np.linspace(lim2[0], lim2[1], gridsize)
if plane.lower() == 'xy':
# We are plotting a region
if isinstance(space, (BoundedRegion, BoundedModeratorRegion, \
BoundedFuelRegion)):
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], dim2[j], loc):
surface[j][i] = 1.0
# We are plotting the geometry
else:
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], dim2[j], loc):
region = space.findContainingRegion(dim1[i], \
dim2[j], loc)
surface[j][i] = region.getUid()
if plane.lower() == 'xz':
# We are plotting a region
if isinstance(space, (BoundedRegion, BoundedModeratorRegion, \
BoundedFuelRegion)):
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], loc, dim2[j]):
surface[j][i] = 1.0
# We are plotting the geometry
else:
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], loc, dim2[j]):
region = space.findContainingRegion(
dim1[i], loc, dim2[j])
surface[j][i] = region.getUid()
if plane.lower() == 'yz':
# We are plotting a region
if isinstance(space, (BoundedRegion, BoundedModeratorRegion, \
BoundedFuelRegion)):
# We are plotting a region
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(loc, dim1[i], dim2[j]):
surface[j][i] = 1.0
# We are plotting the geometry
else:
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(loc, dim1[i], dim2[j]):
region = space.findContainingRegion(
loc, dim1[i], dim2[j])
surface[j][i] = region.getUid()
fig = plt.figure()
plt.pcolor(dim1, dim2, surface)
plt.axis([lim1[0], lim1[1], lim2[0], lim2[1]])
if plane.lower() == 'xy':
plt.title('' + plane.upper() + ' Plane at z = ' + str(loc))
if plane.lower() == 'xz':
plt.title('' + plane.upper() + ' Plane at y = ' + str(loc))
else:
plt.title('' + plane.upper() + ' Plane at x = ' + str(loc))
if filename is '':
filename = directory + '/' + plane.lower() + '-slice.png'
else:
filename = directory + filename.replace(' ', '-').lower() + \
'-' + plane.lower() + '-slice.png'
plt.savefig(filename)
def plotThermalScattering(isotope, uselegend=True, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
num_bins = isotope.getNumThermalCDFBins()
num_cdfs = isotope.getNumThermalCDFs()
Eprime_to_E = isotope.retrieveEprimeToE(num_bins)
E_to_kT = isotope.retrieveEtokT(num_cdfs)
cdfs = isotope.retrieveThermalCDFs(num_cdfs * num_bins)
cdfs = np.reshape(cdfs, [num_cdfs, num_bins]) # reshape 1D array to 2D
dist = isotope.retrieveThermalPDFs(num_cdfs * num_bins)
dist = np.reshape(dist, [num_cdfs, num_bins]) # reshape 1D array to 2D
# Plot the PDFs
fig = plt.figure()
legend = []
for i in range(num_cdfs):
plt.plot(Eprime_to_E, dist[i][:])
legend.append("%.2e" % E_to_kT[i] + ' kT')
plt.ylabel('Probability')
plt.xlabel('E' + "'" + '/ E')
plt.grid()
if (uselegend):
plt.legend(legend, ncol=2, loc='upper right', prop={'size': 14})
if title is '':
plt.title(isotope.getIsotopeName() + ' Thermal Scattering PDFs')
else:
plt.title(title.title() + ' Thermal Scattering PDFs')
if filename is '':
pdfsfilename = directory + isotope.getIsotopeName() + \
'-thermal-scattering-pdfs.png'
else:
pdfsfilename = directory + filename.replace(' ', '-').lower() + \
'-thermal-scattering-pdfs.png'
plt.savefig(pdfsfilename)
# Plot the CDFs
fig = plt.figure()
legend = []
for i in range(num_cdfs):
plt.plot(Eprime_to_E, cdfs[i][:])
legend.append("%.2e" % E_to_kT[i] + ' kT')
plt.ylabel('Cumulative Probability')
plt.xlabel('E' + "'" + ' / E')
plt.grid()
if (uselegend):
plt.legend(legend, ncol=2, loc='lower right', prop={'size': 12})
if title is '':
plt.title(isotope.getIsotopeName() + ' Thermal Scattering CDFs')
else:
plt.title(title.title() + ' Thermal Scattering CDFs')
if filename is '':
cdfsfilename = directory + isotope.getIsotopeName() + \
'-thermal-scattering-cdfs.png'
else:
cdfsfilename = directory + filename.replace(' ', '-').lower() + \
'-thermal-scattering-cdfs.png'
plt.savefig(cdfsfilename)
def trackANeutron(geometry, plane='XY', num_moves=100, loc=0.0, \
lim1=[-2., 2.], lim2=[-2., 2.], gridsize=100, filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Error checking
if not isinstance(geometry, Geometry):
py_printf('ERROR', 'Unable to track a neutron since input ' + \
'did not contain a geometry class object')
if geometry.getSpatialType() != HETEROGENEOUS:
py_printf('ERROR', 'Unable to track a neutron since geometry is ' + \
'not a HETEROGENEOUS type geometry')
if not isinstance(num_moves, int):
py_printf('ERROR', 'Unable to track a neutrons since the number ' + \
'of moves input is %s which is not an integer', \
str(num_moves))
if (num_moves < 0):
py_printf('ERROR', 'Unable to track a neutron since the number ' + \
'of moves input is %d which is negative', num_moves)
if not isinstance(plane, str):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
str(plane))
if plane.lower() != 'xy' and plane.lower() != 'xz' \
and plane.lower() != 'yz':
print 'plane.lower = ' + str(plane.lower())
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
plane)
if len(lim1) is not 2:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the lim1 parameter is of length %d rather than 2',
plane, len(lim1))
if len(lim2) is not 2:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the lim2 parameter is of length %d rather than 2',
plane, len(lim2))
if not isinstance(lim1[0], float) or not isinstance(lim1[1], float):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since lim1 does not contain floating point values', plane)
if not isinstance(lim2[0], float) or not isinstance(lim2[1], float):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since lim2 does not contain floating point values', plane)
if lim1[0] >= lim1[1]:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the minimum lim1 value (%f) is greater than the ' + \
'maximum lim1 value (%f)', plane, lim1[0], lim1[1])
if lim2[0] >= lim2[1]:
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the minimum lim2 value (%f) is greater than the ' + \
'maximum lim2 value (%f)', plane, lim2[0], lim2[1])
if not isinstance(gridsize, int):
py_printf('ERROR', 'Unable to track a neutron since for slice %s ' + \
'since the gridsize %s is not an integer', plane,
str(gridsize))
if gridsize <= 0:
py_printf('Error', 'Unable to track a neutron since for slice %s ' + \
'for a negative gridsize (%d)', plane, gridsize)
if not isinstance(loc, float):
py_printf('Error', 'Unable to track a neutron for slice %s ' + \
'since the input location of the slice is not a number', plane)
# First plot the regions in the geometry as a backdrop for the
# neutron's path
# Initialize a numpy array for the surface colors
surface = numpy.zeros((gridsize, gridsize), dtype=np.int32)
# Initialize
dim1 = np.linspace(lim1[0], lim1[1], gridsize)
dim2 = np.linspace(lim2[0], lim2[1], gridsize)
if plane.lower() == 'xy':
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if geometry.contains(dim1[i], dim2[j], loc):
region = geometry.findContainingRegion(dim1[i], \
dim2[j], loc)
surface[j][i] = region.getUid()
if plane.lower() == 'xz':
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if geometry.contains(dim1[i], loc, dim2[j]):
region = geometry.findContainingRegion(dim1[i], loc,
dim2[j])
surface[j][i] = region.getUid()
if plane.lower() == 'yz':
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if geometry.contains(loc, dim1[i], dim2[j]):
region = geometry.findContainingRegion(loc, dim1[i],
dim2[j])
surface[j][i] = region.getUid()
# Plot the regions in the geometry
fig = plt.figure()
plt.pcolor(dim1, dim2, surface)
plt.axis([lim1[0], lim1[1], lim2[0], lim2[1]])
# Create a neutron to track
neutron = createNewNeutron()
geometry.initializeSourceNeutron(neutron)
# Initialize empty lists to track the neutron's location
x = []
y = []
z = []
# Track the neutron
for i in range(num_moves):
# If the neutron was killed on the last collision, then break loop
if not neutron._alive:
break
geometry.findContainingRegion(neutron)
region = neutron._region
region.collideNeutron(neutron)
x.append(neutron._x)
y.append(neutron._y)
z.append(neutron._z)
# Plot the neutron path throughout the geometry
if plane.lower() == 'xy':
plt.plot(x,y,'b-')
plt.plot(x,y,'bo', markersize=7, markeredgecolor='w')
elif plane.lower() == 'yz':
plt.plot(y,z,'b-')
plt.plot(y,z,'bo', markersize=7, markeredgecolor='w')
else:
plt.plot(x,z,'b-')
plt.plot(x,z,'bo', markersize=7, markeredgecolor='w')
plt.title('Tracking a Neutron in ' + plane.upper())
if filename is '':
filename = directory + '/' + 'track-a-neutron-' + plane.lower() + '.png'
else:
filename = directory + filename.replace(' ', '-').lower() + \
'-' + plane.lower() + '-.png'
plt.savefig(filename)
plt.close(fig)
def plotSlice(space, plane='XY', loc=0.0, lim1=[-2., 2.], lim2=[-2., 2.],
gridsize=100, filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
# Error checking
if not isinstance(space, (BoundedModeratorRegion, BoundedFuelRegion, \
BoundedGeneralRegion, Geometry)):
py_printf('ERROR', 'Unable to plot a %s slice since input ' + \
'did not contain a region or geometry', plane)
if not isinstance(plane, str):
py_printf('ERROR', 'Unable to plot a %s slice for space %s.' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
str(plane), space.getName())
if plane.lower() != 'xy' and plane.lower() != 'xz' \
and plane.lower() != 'yz':
print 'plane.lower = ' + str(plane.lower())
py_printf('ERROR', 'Unable to plot a %s slice for space %s.' + \
'PINSPEC only supports plots of XY, XZ and YZ slices.',
plane, space.getName())
if len(lim1) is not 2:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the lim1 parameter is of length %d rather than 2',
plane, space.getName(), len(lim1))
if len(lim2) is not 2:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the lim2 parameter is of length %d rather than 2',
plane, space.getName(), len(lim2))
if not isinstance(lim1[0], float) or not isinstance(lim1[1], float):
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'lim1 does not contain floating point values', plane,
space.getName())
if not isinstance(lim2[0], float) or not isinstance(lim2[1], float):
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'lim2 does not contain floating point values', plane,
space.getName())
if lim1[0] >= lim1[1]:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the minimum lim1 value (%f) is greater than the ' + \
'maximum lim1 value (%f)', space.getName(), plane,
lim1[0], lim1[1])
if lim2[0] >= lim2[1]:
py_printf('ERROR', 'Unable to plot a %s slice for space %s since ' + \
'the minimum lim2 value (%f) is greater than the ' + \
'maximum lim2 value (%f)', space.getName(), plane,
lim2[0], lim2[1])
if not isinstance(gridsize, int):
py_printf('ERROR', 'Unable to plot a %s slice for space %s ' + \
'Since the gridsize %s is not an integer', plane,
space.getName(), str(gridsize))
if gridsize <= 0:
py_printf('Error', 'Unable to plot a %s slice for space %s ' + \
'with a negative gridsize (%d)', plane,
space.getName(), gridsize)
if not isinstance(loc, float):
py_printf('Error', 'Unable to plot a %s slice for space %s ' + \
'since the input location of the slice is not a number',
plane, space.getName())
# Initialize a numpy array for the surface colors
surface = numpy.zeros((gridsize, gridsize), dtype=np.int32)
dim1 = np.linspace(lim1[0], lim1[1], gridsize)
dim2 = np.linspace(lim2[0], lim2[1], gridsize)
if plane.lower() == 'xy':
# We are plotting a region
if isinstance(space, (BoundedRegion, BoundedModeratorRegion, \
BoundedFuelRegion)):
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], dim2[j], loc):
surface[j][i] = 1.0
# We are plotting the geometry
else:
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], dim2[j], loc):
region = space.findContainingRegion(dim1[i], \
dim2[j], loc)
surface[j][i] = region.getUid()
if plane.lower() == 'xz':
# We are plotting a region
if isinstance(space, (BoundedRegion, BoundedModeratorRegion, \
BoundedFuelRegion)):
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], loc, dim2[j]):
surface[j][i] = 1.0
# We are plotting the geometry
else:
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(dim1[i], loc, dim2[j]):
region = space.findContainingRegion(dim1[i], loc,
dim2[j])
surface[j][i] = region.getUid()
if plane.lower() == 'yz':
# We are plotting a region
if isinstance(space, (BoundedRegion, BoundedModeratorRegion, \
BoundedFuelRegion)):
# We are plotting a region
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(loc, dim1[i], dim2[j]):
surface[j][i] = 1.0
# We are plotting the geometry
else:
for i in range(len(dim1)):
for j in range(len(dim2)):
# Color space for points within the space
if space.contains(loc, dim1[i], dim2[j]):
region = space.findContainingRegion(loc, dim1[i],
dim2[j])
surface[j][i] = region.getUid()
fig = plt.figure()
plt.pcolor(dim1, dim2, surface)
plt.axis([lim1[0], lim1[1], lim2[0], lim2[1]])
if plane.lower() == 'xy':
plt.title('' + plane.upper() + ' Plane at z = ' + str(loc))
if plane.lower() == 'xz':
plt.title('' + plane.upper() + ' Plane at y = ' + str(loc))
else:
plt.title('' + plane.upper() + ' Plane at x = ' + str(loc))
if filename is '':
filename = directory + '/' + plane.lower() + '-slice.png'
else:
filename = directory + filename.replace(' ', '-').lower() + \
'-' + plane.lower() + '-slice.png'
plt.savefig(filename)
plt.close(fig)
def plotThermalScattering(isotope, uselegend=True, title='', filename=''):
global subdirectory
directory = pinspec.get_output_directory() + subdirectory
# Make directory if it does not exist
if not os.path.exists(directory):
os.makedirs(directory)
num_bins = isotope.getNumThermalCDFBins()
num_cdfs = isotope.getNumThermalCDFs()
Eprime_to_E = isotope.retrieveEprimeToE(num_bins)
E_to_kT = isotope.retrieveEtokT(num_cdfs)
cdfs = isotope.retrieveThermalCDFs(num_cdfs*num_bins)
cdfs = np.reshape(cdfs, [num_cdfs, num_bins]) # reshape 1D array to 2D
dist = isotope.retrieveThermalPDFs(num_cdfs*num_bins)
dist = np.reshape(dist, [num_cdfs, num_bins]) # reshape 1D array to 2D
# Plot the PDFs
fig = plt.figure()
legend = []
for i in range(num_cdfs):
plt.plot(Eprime_to_E, dist[i][:])
legend.append("%.2e" % E_to_kT[i] + ' kT')
plt.ylabel('Probability')
plt.xlabel('E'+"'"+'/ E')
plt.grid()
if (uselegend):
plt.legend(legend, ncol=2, loc='upper right', prop={'size':14})
if title is '':
plt.title(isotope.getIsotopeName() + ' Thermal Scattering PDFs')
else:
plt.title(title.title() + ' Thermal Scattering PDFs')
if filename is '':
pdfsfilename = directory + isotope.getIsotopeName() + \
'-thermal-scattering-pdfs.png'
else:
pdfsfilename = directory + filename.replace(' ', '-').lower() + \
'-thermal-scattering-pdfs.png'
plt.savefig(pdfsfilename)
# Plot the CDFs
fig = plt.figure()
legend = []
for i in range(num_cdfs):
plt.plot(Eprime_to_E, cdfs[i][:])
legend.append("%.2e" % E_to_kT[i] + ' kT')
plt.ylabel('Cumulative Probability')
plt.xlabel('E'+"'"+' / E')
plt.grid()
if (uselegend):
plt.legend(legend, ncol=2, loc='lower right', prop={'size':12})
if title is '':
plt.title(isotope.getIsotopeName() + ' Thermal Scattering CDFs')
else:
plt.title(title.title() + ' Thermal Scattering CDFs')
if filename is '':
cdfsfilename = directory + isotope.getIsotopeName() + \
'-thermal-scattering-cdfs.png'
else:
cdfsfilename = directory + filename.replace(' ', '-').lower() + \
'-thermal-scattering-cdfs.png'
plt.savefig(cdfsfilename)
plt.close(fig)
