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Commit cf65a27d authored by Mikhail Svechnikov's avatar Mikhail Svechnikov
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fix fit example

parent 634559f0
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1 merge request!2522Attach RoughnessModel to single rough interfaces (#102)
Pipeline #140351 passed
Stage: build
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auto/Examples/fit/specular/Honeycomb_fit.py
+ 6
− 7
View file @ cf65a27d
...@@ -48,11 +48,12 @@ def get_sample(P, sign, T): ...@@ -48,11 +48,12 @@ def get_sample(P, sign, T):
l_SiO2 = ba.Layer(material_SiO2, P["t_SiO2"]*angstrom) l_SiO2 = ba.Layer(material_SiO2, P["t_SiO2"]*angstrom)
l_Si = ba.Layer(material_Si) l_Si = ba.Layer(material_Si)
rPyOx = ba.LayerRoughness(P["rPyOx"]*angstrom) roughness_model = ba.RoughnessModel.NEVOT_CROCE
rPy2 = ba.LayerRoughness(P["rPy2"]*angstrom) rPyOx = ba.LayerRoughness(P["rPyOx"]*angstrom, roughness_model)
rPy1 = ba.LayerRoughness(P["rPy1"]*angstrom) rPy2 = ba.LayerRoughness(P["rPy2"]*angstrom, roughness_model)
rSiO2 = ba.LayerRoughness(P["rSiO2"]*angstrom) rPy1 = ba.LayerRoughness(P["rPy1"]*angstrom, roughness_model)
rSi = ba.LayerRoughness(P["rSi"]*angstrom) rSiO2 = ba.LayerRoughness(P["rSiO2"]*angstrom, roughness_model)
rSi = ba.LayerRoughness(P["rSi"]*angstrom, roughness_model)
sample = ba.MultiLayer() sample = ba.MultiLayer()
...@@ -63,8 +64,6 @@ def get_sample(P, sign, T): ...@@ -63,8 +64,6 @@ def get_sample(P, sign, T):
sample.addLayerWithTopRoughness(l_SiO2, rSiO2) sample.addLayerWithTopRoughness(l_SiO2, rSiO2)
sample.addLayerWithTopRoughness(l_Si, rSi) sample.addLayerWithTopRoughness(l_Si, rSi)
sample.setRoughnessModel(ba.RoughnessModel.NEVOT_CROCE)
return sample return sample
......
auto/MiniExamples/fit/specular/Honeycomb_fit.py
+ 6
− 7
View file @ cf65a27d
...@@ -48,11 +48,12 @@ def get_sample(P, sign, T): ...@@ -48,11 +48,12 @@ def get_sample(P, sign, T):
l_SiO2 = ba.Layer(material_SiO2, P["t_SiO2"]*angstrom) l_SiO2 = ba.Layer(material_SiO2, P["t_SiO2"]*angstrom)
l_Si = ba.Layer(material_Si) l_Si = ba.Layer(material_Si)
rPyOx = ba.LayerRoughness(P["rPyOx"]*angstrom) roughness_model = ba.RoughnessModel.NEVOT_CROCE
rPy2 = ba.LayerRoughness(P["rPy2"]*angstrom) rPyOx = ba.LayerRoughness(P["rPyOx"]*angstrom, roughness_model)
rPy1 = ba.LayerRoughness(P["rPy1"]*angstrom) rPy2 = ba.LayerRoughness(P["rPy2"]*angstrom, roughness_model)
rSiO2 = ba.LayerRoughness(P["rSiO2"]*angstrom) rPy1 = ba.LayerRoughness(P["rPy1"]*angstrom, roughness_model)
rSi = ba.LayerRoughness(P["rSi"]*angstrom) rSiO2 = ba.LayerRoughness(P["rSiO2"]*angstrom, roughness_model)
rSi = ba.LayerRoughness(P["rSi"]*angstrom, roughness_model)
sample = ba.MultiLayer() sample = ba.MultiLayer()
...@@ -63,8 +64,6 @@ def get_sample(P, sign, T): ...@@ -63,8 +64,6 @@ def get_sample(P, sign, T):
sample.addLayerWithTopRoughness(l_SiO2, rSiO2) sample.addLayerWithTopRoughness(l_SiO2, rSiO2)
sample.addLayerWithTopRoughness(l_Si, rSi) sample.addLayerWithTopRoughness(l_Si, rSi)
sample.setRoughnessModel(ba.RoughnessModel.NEVOT_CROCE)
return sample return sample
......
rawEx/fit/specular/Honeycomb_fit.py
+ 6
− 7
View file @ cf65a27d
...@@ -48,11 +48,12 @@ def get_sample(P, sign, T): ...@@ -48,11 +48,12 @@ def get_sample(P, sign, T):
l_SiO2 = ba.Layer(material_SiO2, P["t_SiO2"]*angstrom) l_SiO2 = ba.Layer(material_SiO2, P["t_SiO2"]*angstrom)
l_Si = ba.Layer(material_Si) l_Si = ba.Layer(material_Si)
rPyOx = ba.LayerRoughness(P["rPyOx"]*angstrom) roughness_model = ba.RoughnessModel.NEVOT_CROCE
rPy2 = ba.LayerRoughness(P["rPy2"]*angstrom) rPyOx = ba.LayerRoughness(P["rPyOx"]*angstrom, roughness_model)
rPy1 = ba.LayerRoughness(P["rPy1"]*angstrom) rPy2 = ba.LayerRoughness(P["rPy2"]*angstrom, roughness_model)
rSiO2 = ba.LayerRoughness(P["rSiO2"]*angstrom) rPy1 = ba.LayerRoughness(P["rPy1"]*angstrom, roughness_model)
rSi = ba.LayerRoughness(P["rSi"]*angstrom) rSiO2 = ba.LayerRoughness(P["rSiO2"]*angstrom, roughness_model)
rSi = ba.LayerRoughness(P["rSi"]*angstrom, roughness_model)
sample = ba.MultiLayer() sample = ba.MultiLayer()
...@@ -63,8 +64,6 @@ def get_sample(P, sign, T): ...@@ -63,8 +64,6 @@ def get_sample(P, sign, T):
sample.addLayerWithTopRoughness(l_SiO2, rSiO2) sample.addLayerWithTopRoughness(l_SiO2, rSiO2)
sample.addLayerWithTopRoughness(l_Si, rSi) sample.addLayerWithTopRoughness(l_Si, rSi)
sample.setRoughnessModel(ba.RoughnessModel.NEVOT_CROCE)
return sample return sample
......
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