def test_benchmark_3():
my_model = model.Model()
# my_source = source.ZAlignedCylinderSource(materialName="water", cylinderRadius=154, \
# cylinderCenter=[0,0,54.15], cylinderLength=108.3)
my_source = source.ZAlignedCylinderSource(material_name="water", cylinder_radius=154, \
cylinder_center=[0,0,54.15], cylinder_length=108.3)
my_source.add_photon(0.4, 3.2276e+013)
my_source.add_photon(0.8, 5.6483e+013)
my_source.add_photon(1.3, 2.2593e+013)
my_source.add_photon(1.7, 6.6166e+013)
my_source.add_photon(2.2, 3.2276e+011)
my_source.add_photon(2.5, 2.4207e+011)
my_source.add_photon(3.5, 9.6828e+007)
my_source.points_per_dimension = [16, 16, 16]
my_model.add_source(my_source)
my_model.add_shield(shield.ZAlignedInfiniteAnnulus("iron", cylinder_inner_radius=154, \
cylinder_center=[0,0,54.15], cylinder_outer_radius=154+2.54, density=7.8))
my_model.add_shield(shield.SemiInfiniteXSlab("concrete", x_start=220, \
x_end=311, density=2.4))
my_model.set_filler_material('air', density=0.00129)
my_model.set_buildup_factor_material(material.Material('concrete'))
my_model.add_detector(detector.Detector(311, 0, 54.15))
result = my_model.calculate_exposure()
expected_dose_rate = 1.890E0
diff = (result - expected_dose_rate) / expected_dose_rate * 100
# convert from mR/hr to R/hr
print("")
print('test_benchmark_3')
print("At 311 cm, dose = ", result, " mR/hr, ", diff, "%")
assert True
def test_benchmark_5():
my_model = model.Model()
my_source = source.BoxSource(material_name="water", box_center=[136.5,0,239.95], \
box_dimensions=[273,273,479.9])
my_source.add_photon(0.4, 1.4307e+014)
my_source.add_photon(0.8, 2.5037e+014)
my_source.add_photon(1.3, 1.0015e+014)
my_source.add_photon(1.7, 2.9329e+014)
my_source.add_photon(2.2, 1.4307e+012)
my_source.add_photon(2.5, 1.0730e+012)
my_source.add_photon(3.5, 4.2920e+008)
my_source.points_per_dimension = [16, 16, 16]
my_model.add_source(my_source)
my_model.add_shield(shield.SemiInfiniteXSlab("iron", x_start=273, \
x_end=275.54, density=7.8))
my_model.add_shield(shield.SemiInfiniteXSlab("concrete", x_start=365.1, \
x_end=465.5, density=2.4))
my_model.set_filler_material('air', density=0.00129)
my_model.set_buildup_factor_material(material.Material('concrete'))
my_model.add_detector(detector.Detector(456.5, 0, 239.95))
result = my_model.calculate_exposure()
expected_dose_rate = 3.009e+00
diff = (result - expected_dose_rate) / expected_dose_rate * 100
print("")
print('test_benchmark_5')
print("At 456.5 cm, dose = ", result, " mR/hr, ", diff, "%")
assert True
def test_benchmark_2():
myModel = model.Model()
mySource = source.ZAlignedCylinderSource(material_name="water", cylinder_radius=154, \
cylinder_center=[0,0,54.15], cylinder_length=108.3)
mySource.add_photon(0.4,3.2276e+013)
mySource.add_photon(0.8,5.6483e+013)
mySource.add_photon(1.3,2.2593e+013)
mySource.add_photon(1.7,6.6166e+013)
mySource.add_photon(2.2,3.2276e+011)
mySource.add_photon(2.5,2.4207e+011)
mySource.add_photon(3.5,9.6828e+007)
mySource.points_per_dimension = [16,16,16]
myModel.add_source(mySource)
myModel.add_shield(shield.ZAlignedInfiniteAnnulus("iron", cylinder_inner_radius=154, \
cylinder_center=[0,0,54.15], cylinder_outer_radius=154+2.54, density=7.8))
myModel.set_filler_material('air',density=0.00129)
myModel.set_buildup_factor_material(material.Material('iron'))
myModel.add_detector(detector.Detector(220,0,50.15))
result = myModel.calculate_exposure()
expected_dose_rate = 6.294e+04
diff = (result - expected_dose_rate)/expected_dose_rate * 100
print("")
print('test_benchmark_2')
print("At 220 cm, dose = ", result, " mR/hr, ", diff, "%")
assert True
def test_Case2(self):
# a point source with infinite yz shields
myModel = model.Model()
mySource = source.PointSource(0, 0, 0)
mySource.add_photon(1.0, 3e10)
myModel.add_source(mySource)
myModel.add_shield(
shield.SemiInfiniteXSlab(material_name="iron",
x_start=10,
x_end=20))
myModel.add_detector(detector.Detector(100, 0, 0))
myModel.set_buildup_factor_material(material.Material('iron'))
result = myModel.calculate_exposure()
assert result == pytest.approx(7.057332942044014e-06 * 1000 *
3600) # convert from R/sec to mR/hr
def test_Case0(self):
# point source with no shielding
# reference dose calculated from Principles of Radiation Shielding, A. B. Chilton, J. K. Shultis, R. E. Faw
# from the reference, pages 132, 157, and 159, th dose rate is 271.8 mR/hr
# Microshield gives 271.8 mR/hr at an air density of 1e-12g/cc
myModel = model.Model()
mySource = source.ZAlignedCylinderSource(material_name='air', \
cylinder_center=[0,0,500],cylinder_length=1000, \
cylinder_radius=50,density=1e-12)
mySource.points_per_dimension = [40, 20, 400]
photonEnergy = 1.0 # MeV
photonIntensity = 3E10 # photons/sec
mySource.add_photon(photonEnergy, photonIntensity)
myModel.add_source(mySource)
myModel.add_detector(detector.Detector(0, 0, 1000.01))
result = myModel.calculate_exposure()
assert result == pytest.approx(271.628)
def test_Case0(self):
# point source with no shielding
# reference dose calculated from Principles of Radiation Shielding, A. B. Chilton, J. K. Shultis, R. E. Faw
myModel = model.Model()
mySource = source.PointSource(0, 0, 0)
photonEnergy = 1.0 # MeV
photonIntensity = 3E10 # photons/sec
mySource.add_photon(photonEnergy, photonIntensity)
myModel.add_source(mySource)
myModel.add_detector(detector.Detector(100, 0, 0))
result = myModel.calculate_exposure()
photonFlux = photonIntensity / (4 * math.pi * 100**2
) # photons/sec/cm2
responseFunction = 1.835E-8 * 1.0 * 2.787E-02 #
analyticalDose = photonFlux * responseFunction # R/sec
# the "other code" gives 440.1 mR/hr at an air density of 1e-12g/cc
assert result == pytest.approx(analyticalDose * 1000 *
3600) # convert from R/sec to mR/hr
def test_Case4(self):
# a point source with infinite yz shields
myModel = model.Model()
mySource = source.PointSource(1, 2, 3)
mySource.add_isotope_curies('Co-60', 3)
myModel.add_source(mySource)
myModel.add_shield(
shield.SemiInfiniteXSlab(material_name="iron",
x_start=10,
x_end=20))
myModel.add_shield(
shield.SemiInfiniteXSlab(material_name="concrete",
x_start=30,
x_end=40))
myModel.add_detector(detector.Detector(80, 90, 100))
myModel.set_buildup_factor_material(material.Material('iron'))
result = myModel.calculate_exposure()
assert result == pytest.approx(
0.6090081012193129) # convert from R/sec to mR/hr
def test_Case3(self):
# a point source with infinite yz shields
myModel = model.Model()
mySource = source.PointSource(0, 0, 0)
mySource.add_isotope_bq('Ar-41', 3e10)
myModel.add_source(mySource)
myModel.add_shield(
shield.SemiInfiniteXSlab(material_name="iron",
x_start=10,
x_end=20))
myModel.add_shield(
shield.SemiInfiniteXSlab(material_name="concrete",
x_start=30,
x_end=40))
myModel.add_detector(detector.Detector(100, 0, 0))
myModel.set_buildup_factor_material(material.Material('iron'))
result = myModel.calculate_exposure()
assert result == pytest.approx(4.3979088503738596e-06 * 1000 *
3600) # convert from R/sec to mR/hr
def test_benchmark_0():
my_model = model.Model()
my_source = source.PointSource(0, 0, 0)
my_source.add_photon(6.2, 1)
my_model.add_source(my_source)
my_model.set_filler_material('air', density=0.00122)
my_model.set_buildup_factor_material(material.Material('air'))
print("")
print('test_benchmark_0')
results = []
for case in [[200, 1.194e-11], [1000, 3.332e-13], [3000, 9.096e-15],
[5000, 6.977e-16]]:
distance = case[0]
expected_dose_rate = case[1]
my_model.add_detector(
detector.Detector(distance * 12 * 2.54, 0, 57 * 12 * 2.54))
result = my_model.calculate_exposure()
diff = (result - expected_dose_rate) / expected_dose_rate * 100
results.append([result, expected_dose_rate])
print("At ", distance, " ft, dose = ", result, " mR/hr, ", diff, "%")
assert True
def test_Case0(self):
# point source with no shielding
# reference dose calculated from Principles of Radiation Shielding, A. B. Chilton, J. K. Shultis, R. E. Faw
# from the reference, pages 132, 157, and 159, th dose rate is 64.66 mR/hr
# Microshield gives 64.74 mR/hr at an air density of 1e-12g/cc
myModel = model.Model()
mySource = source.LineSource([0, 0, 0], [0, 0, 1000])
mySource.points_per_dimension = 100
photonEnergy = 1.0 # MeV
photonIntensity = 3E10 # photons/sec
mySource.add_photon(photonEnergy, photonIntensity)
myModel.add_source(mySource)
myModel.add_detector(detector.Detector(100, 0, 0))
result = myModel.calculate_exposure()
linearPhotonSource = photonIntensity / 1000
photonFlux = linearPhotonSource / 100 * math.atan(
1000 / 100) # photons/sec/cm2
responseFunction = 1.835E-8 * 1.0 * 2.787E-02 / 4 / math.pi #
analyticalDose = photonFlux * responseFunction # R/sec
assert result == pytest.approx(analyticalDose * 1000 *
3600) # convert from R/sec to mR/hr