OpenMC/tests/regression_tests/source/test.py

from math import pi, cos

import numpy as np
import openmc

from tests.testing_harness import PyAPITestHarness


class SourceTestHarness(PyAPITestHarness):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        mat1 = openmc.Material(material_id=1, temperature=294)
        mat1.set_density('g/cm3', 4.5)
        mat1.add_nuclide('U235', 1.0)
        self._model.materials = openmc.Materials([mat1])

        sphere = openmc.Sphere(surface_id=1, r=10.0, boundary_type='vacuum')
        inside_sphere = openmc.Cell(cell_id=1)
        inside_sphere.region = -sphere
        inside_sphere.fill = mat1

        root = openmc.Universe(universe_id=0)
        root.add_cell(inside_sphere)
        self._model.geometry = openmc.Geometry(root)

        # Create an array of different sources
        x_dist = openmc.stats.Uniform(-3., 3.)
        y_dist = openmc.stats.Discrete([-4., -1., 3.], [0.2, 0.3, 0.5])
        z_dist = openmc.stats.Tabular([-2., 0., 2.], [0.2, 0.3, 0.2])
        r_dist = openmc.stats.Uniform(2., 3.)
        r_dist1 = openmc.stats.PowerLaw(2., 3., 1.)
        r_dist2 = openmc.stats.PowerLaw(2., 3., 2.)
        cos_theta_dist = openmc.stats.Discrete([cos(pi/4), 0.0, cos(3*pi/4)],
                                               [0.3, 0.4, 0.3])
        phi_dist = openmc.stats.Uniform(0.0, 2*pi)
        spatial1 = openmc.stats.CartesianIndependent(x_dist, y_dist, z_dist)
        spatial2 = openmc.stats.Box([-4., -4., -4.], [4., 4., 4.])
        spatial3 = openmc.stats.Point([1.2, -2.3, 0.781])
        spatial4 = openmc.stats.SphericalIndependent(r_dist, cos_theta_dist,
                                                     phi_dist,
                                                     origin=(1., 1., 0.))
        spatial5 = openmc.stats.CylindricalIndependent(r_dist, phi_dist,
                                                       z_dist,
                                                       origin=(1., 1., 0.))
        spatial6 = openmc.stats.SphericalIndependent(r_dist2, cos_theta_dist,
                                                     phi_dist,
                                                     origin=(1., 1., 0.))
        spatial7 = openmc.stats.CylindricalIndependent(r_dist1, phi_dist,
                                                       z_dist,
                                                       origin=(1., 1., 0.))

        mu_dist = openmc.stats.Discrete([-1., 0., 1.], [0.5, 0.25, 0.25])
        phi_dist = openmc.stats.Uniform(0., 6.28318530718)
        angle1 = openmc.stats.PolarAzimuthal(mu_dist, phi_dist)
        angle2 = openmc.stats.Monodirectional(reference_uvw=[0., 1., 0.])
        angle3 = openmc.stats.Isotropic()

        # Note that the definition for E is equivalent to logspace(0, 7) but we
        # manually take powers because of last-digit differences that may cause
        # test failures with different versions of numpy
        E = np.array([10**x for x in np.linspace(0, 7)])
        p = np.sin(np.linspace(0., pi))
        p /= sum(np.diff(E)*p[:-1])
        energy1 = openmc.stats.Maxwell(1.2895e6)
        energy2 = openmc.stats.Watt(0.988e6, 2.249e-6)
        energy3 = openmc.stats.Tabular(E, p, interpolation='histogram')
        energy4 = openmc.stats.Mixture([1, 2, 3], [energy1, energy2, energy3])

        time1 = openmc.stats.Uniform(2, 5)

        source1 = openmc.IndependentSource(spatial1, angle1, energy1, strength=0.3)
        source2 = openmc.IndependentSource(spatial2, angle2, energy2, strength=0.1)
        source3 = openmc.IndependentSource(spatial3, angle3, energy3, strength=0.1)
        source4 = openmc.IndependentSource(spatial4, angle3, energy3, strength=0.1)
        source5 = openmc.IndependentSource(spatial5, angle3, energy3, strength=0.1)
        source6 = openmc.IndependentSource(spatial5, angle3, energy4, strength=0.1)
        source7 = openmc.IndependentSource(spatial6, angle3, energy4, time1, strength=0.1)
        source8 = openmc.IndependentSource(spatial7, angle3, energy4, time1, strength=0.1)

        settings = openmc.Settings()
        settings.batches = 10
        settings.inactive = 5
        settings.particles = 1000
        settings.source = [source1, source2, source3, source4, source5, source6, source7, source8]
        self._model.settings = settings


def test_source():
    harness = SourceTestHarness('statepoint.10.h5', model=openmc.Model())
    harness.main()