var names in Specular1Par

rawEx/fit/specular/Specular1Par.py

@@ -17,19 +17,19 @@ from bornagain import angstrom, ba_fitmonitor
 def get_sample(P):
     # Materials
     vacuum = ba.MaterialBySLD()
-    material_Ni = ba.MaterialBySLD("Ni", 9.4245e-06, 0)
     material_Ti = ba.MaterialBySLD("Ti", -1.9493e-06, 0)
-    material_Si = ba.MaterialBySLD("SiSubstrate", 2.0704e-06, 0)
+    material_Ni = ba.MaterialBySLD("Ni", 9.4245e-06, 0)
+    material_Si = ba.MaterialBySLD("Si", 2.0704e-06, 0)
 
     # Multilayer
-    ni_layer = ba.Layer(material_Ni, 70*angstrom)
-    ti_layer = ba.Layer(material_Ti, P["ti_thickness"])
+    layer_Ti = ba.Layer(material_Ti, P["thickness_Ti"])
+    layer_Ni = ba.Layer(material_Ni, 70*angstrom)
 
     sample = ba.MultiLayer()
     sample.addLayer(ba.Layer(vacuum))
     for _ in range(10):
-        sample.addLayer(ti_layer)
-        sample.addLayer(ni_layer)
+        sample.addLayer(layer_Ti)
+        sample.addLayer(layer_Ni)
     sample.addLayer(ba.Layer(material_Si))
 
     return sample
@@ -63,7 +63,7 @@ if __name__ == '__main__':
     fit_objective.initPlot(10, plot_observer)
 
     P = ba.Parameters()
-    P.add("ti_thickness", 50*angstrom, min=10*angstrom, max=60*angstrom)
+    P.add("thickness_Ti", 50*angstrom, min=10*angstrom, max=60*angstrom)
 
     minimizer = ba.Minimizer()
     result = minimizer.minimize(fit_objective.evaluate, P)