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test_bornagain upgrade to BornAgain-22 #81

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26 changes: 14 additions & 12 deletions validation/scripts/test_bornagain.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,35 +4,37 @@

import bornagain as ba
from bornagain import angstrom
from bornagain.numpyutil import Arrayf64Converter as dac


def get_sample(slabs):
"""
Defines sample and returns it. Note that SLD-based materials are used.
"""
# creating materials
multi_layer = ba.MultiLayer()
multi_layer = ba.Sample()

ambient = ba.MaterialBySLD("ma", slabs[0, 1] * 1e-6, 0)
layer = ba.Layer(ambient)
multi_layer.addLayer(layer)

for slab in slabs[1:-1]:
material = ba.MaterialBySLD("stuff", slab[1] * 1e-6, slab[2] * 1e-6)
layer = ba.Layer(material, slab[0] * angstrom)

roughness = ba.LayerRoughness()
roughness.setSigma(slab[3] * angstrom)
autocorr = ba.SelfAffineFractalModel(slab[3] * angstrom, 0.7, 250*angstrom)
roughness = ba.Roughness(autocorr, ba.ErfTransient())

multi_layer.addLayerWithTopRoughness(layer, roughness)
layer = ba.Layer(material, slab[0] * angstrom, roughness)
multi_layer.addLayer(layer)

substrate = ba.MaterialBySLD("msub", slabs[-1, 1] * 1e-6, 0)
layer = ba.Layer(substrate)
roughness = ba.LayerRoughness()
roughness.setSigma(slabs[-1, 3] * angstrom)
multi_layer.addLayerWithTopRoughness(layer, roughness)

multi_layer.setRoughnessModel(ba.RoughnessModel.NEVOT_CROCE)
autocorr = ba.SelfAffineFractalModel(slabs[-1, 3] * angstrom, 0.7, 250*angstrom)
roughness = ba.Roughness(autocorr, ba.ErfTransient())

layer = ba.Layer(substrate, 0, roughness)

multi_layer.addLayer(layer)

return multi_layer

Expand Down Expand Up @@ -101,7 +103,7 @@ def resolution_test(slabs, data):
simulation = get_simulation_smeared(data[:, 0], data[:, -1], sample)

res = simulation.simulate()
R = res.array()
R = dac.asNpArray(res.dataArray())

assert R.shape == data[:, 1].shape

Expand All @@ -122,7 +124,7 @@ def kernel_test(slabs, data):
sample = get_sample(slabs)
simulation = get_simulation(data[:, 0], sample)
res = simulation.simulate()
R = res.array()
R = dac.asNpArray(res.dataArray())

assert R.shape == data[:, 1].shape

Expand Down
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