Tests: Adding unit test for weight windows.

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Patrick Shriwise 2022-01-08 16:27:06 -06:00
parent 05a3a79c8a
commit 72cf08a0f1
4 changed files with 171 additions and 0 deletions

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import os
from pathlib import Path
import numpy as np
import pytest
import openmc
from openmc.stats import Discrete, Point
from tests import cdtemp
@pytest.fixture
def model():
model = openmc.Model()
# materials (M4 steel alloy)
m4 = openmc.Material()
m4.set_density('g/cc', 2.3)
m4.add_nuclide('H1', 0.168018676)
m4.add_nuclide("H2", 1.93244e-05)
m4.add_nuclide("O16", 0.561814465)
m4.add_nuclide("O17", 0.00021401)
m4.add_nuclide("Na23", 0.021365)
m4.add_nuclide("Al27", 0.021343)
m4.add_nuclide("Si28", 0.187439342)
m4.add_nuclide("Si29", 0.009517714)
m4.add_nuclide("Si30", 0.006273944)
m4.add_nuclide("Ca40", 0.018026179)
m4.add_nuclide("Ca42", 0.00012031)
m4.add_nuclide("Ca43", 2.51033e-05)
m4.add_nuclide("Ca44", 0.000387892)
m4.add_nuclide("Ca46", 7.438e-07)
m4.add_nuclide("Ca48", 3.47727e-05)
m4.add_nuclide("Fe54", 0.000248179)
m4.add_nuclide("Fe56", 0.003895875)
m4.add_nuclide("Fe57", 8.99727e-05)
m4.add_nuclide("Fe58", 1.19737e-05)
s0 = openmc.Sphere(r=240)
s1 = openmc.Sphere(r=250, boundary_type='vacuum')
c0 = openmc.Cell(fill=m4, region=-s0)
c1 = openmc.Cell(region=+s0 & -s1)
model.geometry = openmc.Geometry([c0, c1])
# settings
settings = model.settings
settings.run_mode = 'fixed source'
settings.particles = 500
settings.batches = 2
settings.max_splits = 100
settings.photon_transport = True
space = Point((0.001, 0.001, 0.001))
energy = Discrete([14E6], [1.0])
settings.source = openmc.Source(space=space, energy=energy)
# tally
mesh = openmc.RegularMesh()
mesh.lower_left = (-240, -240, -240)
mesh.upper_right = (240, 240, 240)
mesh.dimension = (5, 10, 15)
mesh_filter = openmc.MeshFilter(mesh)
e_bnds = [0.0, 0.5, 2E7]
energy_filter = openmc.EnergyFilter(e_bnds)
particle_filter = openmc.ParticleFilter(['neutron', 'photon'])
tally = openmc.Tally()
tally.filters = [mesh_filter, energy_filter, particle_filter]
tally.scores = ['flux']
model.tallies.append(tally)
return model
def test_weightwindows(model):
ww_files = ('ww_n.txt', 'ww_p.txt')
cwd = Path(__file__).parent.absolute()
filepaths = [cwd / Path(f) for f in ww_files]
with cdtemp(filepaths):
# run once with variance reduction off
model.settings.weight_windows_on = False
analog_sp = model.run()
os.rename(analog_sp, 'statepoint.analog.h5')
# weight windows
# load pre-generated weight windows
# (created using the same tally as above)
ww_n_lower_bnds = np.loadtxt('ww_n.txt')
ww_p_lower_bnds = np.loadtxt('ww_p.txt')
# create a mesh matching the one used
# to generate the weight windows
ww_mesh = openmc.RegularMesh()
ww_mesh.lower_left = (-240, -240, -240)
ww_mesh.upper_right = (240, 240, 240)
ww_mesh.dimension = (5, 6, 7)
# energy bounds matching those of the
# generated weight windows
e_bnds = [0.0, 0.5, 2E7]
ww_n = openmc.WeightWindows(ww_mesh,
ww_n_lower_bnds,
None,
10.0,
e_bnds)
ww_p = openmc.WeightWindows(ww_mesh,
ww_p_lower_bnds,
None,
10.0,
e_bnds)
model.settings.weight_windows = [ww_n, ww_p]
# run again with variance reduction on
model.settings.weight_windows_on = True
ww_sp = model.run()
os.rename(ww_sp, 'statepoint.ww.h5')
# load both statepoints and examine results
asp = openmc.StatePoint('statepoint.analog.h5')
wsp = openmc.StatePoint('statepoint.ww.h5')
analog_tally = asp.tallies[1]
ww_tally = wsp.tallies[1]
def compare_results(particle, analog_tally, ww_tally):
# get values from each of the tallies
an_mean = analog_tally.get_values(filters=[openmc.ParticleFilter],
filter_bins=[(particle,)])
ww_mean = ww_tally.get_values(filters=[openmc.ParticleFilter],
filter_bins=[(particle,)])
# expect that more bins were scored with weight windows than
# the analog run
assert np.count_nonzero(an_mean) < np.count_nonzero(ww_mean)
an_rel_err = analog_tally.get_values(filters=[openmc.ParticleFilter],
filter_bins=[(particle,)],
value='rel_err')
ww_rel_err = ww_tally.get_values(filters=[openmc.ParticleFilter],
filter_bins=[(particle,)],
value='rel_err')
print(an_rel_err)
an_rel_err[an_mean == 0.0] = 1.0
ww_rel_err[ww_mean == 0.0] = 1.0
an_avg_rel_err = np.mean(an_rel_err)
ww_avg_rel_err = np.mean(ww_rel_err)
# expect that the average relative error in the tally
# decreases
assert an_avg_rel_err > ww_avg_rel_err
compare_results('neutron', analog_tally, ww_tally)
compare_results('photon', analog_tally, ww_tally)

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../../regression_tests/weightwindow/ww_n.txt

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../../regression_tests/weightwindow/ww_p.txt