def calcMagneticModelWithSpinFlip(self):
if (self.z is not None):
sphere_shifts = [self.params["layerDistance1"].value,\
self.params["layerDistance2"].value,\
self.params["layerDistance3"].value,\
self.params["layerDistance4"].value,\
self.params["layerDistance5"].value,\
self.params["layerDistance6"].value]
packing_densities = [self.params["packingDensity1"].value,
self.params["packingDensity2"].value,
self.params["packingDensity3"].value,
self.params["packingDensity4"].value,
self.params["packingDensity5"].value,
self.params["packingDensity6"].value]
magPacking_densities = [self.params['magDensity1'].value*self.params["packingDensity1"].value,
self.params['magDensity2'].value*self.params["packingDensity2"].value,
self.params['magDensity3'].value*self.params["packingDensity3"].value,
self.params['magDensity4'].value*self.params["packingDensity4"].value,
self.params['magDensity5'].value*self.params["packingDensity5"].value,
self.params['magDensity6'].value*self.params["packingDensity6"].value]
sld = nanospheres.sphere_css_overlapping_stacked_with_spacer(
self.z, sphere_shifts, packing_densities,
self.params['r'].value, self.params['dShell'].value,
self.params['dSurfactant'].value, self.params['dSpacer'].value,
self.params['sldCore'].value, self.params['sldShell'].value,
self.params['sldSurfactant'].value, self.params['sldSubstrate'].value,
self.params['sldSpacer'].value, self.params['sldBackground'].value)
sldMag = nanospheres.sphere_css_overlapping_stacked_with_spacer(
self.z, sphere_shifts, magPacking_densities,
self.params['r'].value, self.params['dShell'].value,
self.params['dSurfactant'].value, self.params['dSpacer'].value,
self.params['magSldCore'].value, self.params['magSldShell'].value,
0, 0, 0, 0)
polarization = self.params['polarization']
P = self.params['polarizationEfficiency']
thickness = (self.z[1] - self.z[0])*np.ones(len(sld))
roughness = self.params["roughness"].value + self.z * self.params["roughnessSlope"].value
Rp = algorithms.parrat_amplitude(self.q, sld + sldMag, roughness, thickness)
Rm = algorithms.parrat_amplitude(self.q, sld - sldMag, roughness, thickness)
cosGamma = np.cos(self.params['gamma']*np.pi/180)
Rpp = self.params["i0"] * 0.25 * np.abs(Rp * ( 1 + cosGamma) + Rm * ( 1 - cosGamma ) )**2 + self.params["bg"]
Rmm = self.params["i0"] * 0.25 * np.abs(Rp * ( 1 - cosGamma) + Rm * ( 1 + cosGamma ) )**2 + self.params["bg"]
Rmp = self.params["i0"] * 0.25 * np.abs(Rp - Rm)**2*(1-cosGamma**2)
if polarization == 1:
self.I = P*Rpp + (1-P)*Rmp
elif polarization == -1:
self.I = P*Rmm + (1-P)*Rmp
else:
self.I = P*Rmp + (1-P)*(Rpp+Rmm)/2
self.sld = algorithms.roughsld_thick_layers(self.z, sld, roughness, thickness).real
self.sldMag = algorithms.roughsld_thick_layers(self.z, sldMag, roughness, thickness).real
def calcModel(self):
if (self.z is not None):
sphere_shifts = [self.params["layerDistance"].value
] * self.params['nPeriods']
packing_densities = [self.params["packingDensity"].value
] * self.params['nPeriods']
sld = nanospheres.sphere_css_overlapping_stacked_with_spacer(
self.z, sphere_shifts, packing_densities,
self.params['r'].value, self.params['dShell'].value,
self.params['dSurfactant'].value, self.params['dSpacer'].value,
(self.params['reSldCore'].value +
1j * self.params['imSldCore'].value),
(self.params['reSldShell'].value +
1j * self.params['imSldShell'].value),
(self.params['reSldSurfactant'].value +
1j * self.params['imSldSurfactant'].value),
(self.params['reSldSubstrate'].value +
1j * self.params['imSldSubstrate'].value),
(self.params['reSldSpacer'].value +
1j * self.params['imSldSpacer'].value),
(self.params['reSldBackground'].value +
1j * self.params['imSldBackground'].value))
roughness = self.params["roughness"].value + self.params[
'roughnessSlope'].value * self.z
thickness = (self.z[1] - self.z[0]) * np.ones(len(sld))
self.I = self.params["i0"] * algorithms.parrat(
self.q, sld, roughness, thickness) + self.params["bg"]
self.sld = algorithms.roughsld_thick_layers(
self.z, sld, roughness, thickness).real
def calcModel(self):
if (self.z is not None):
sphere_shifts = [self.params["layerDistance1"].value,\
self.params["layerDistance2"].value,\
self.params["layerDistance3"].value,\
self.params["layerDistance4"].value,\
self.params["layerDistance5"].value,\
self.params["layerDistance6"].value]
packing_densities = [self.params["packingDensity1"].value,
self.params["packingDensity2"].value,
self.params["packingDensity3"].value,
self.params["packingDensity4"].value,
self.params["packingDensity5"].value,
self.params["packingDensity6"].value]
sld = nanospheres.sphere_css_overlapping_stacked_with_spacer(
self.z, sphere_shifts, packing_densities,
self.params['r'].value, self.params['dShell'].value,
self.params['dSurfactant'].value, self.params['dSpacer'].value,
self.params['sldCore'].value, self.params['sldShell'].value,
self.params['sldSurfactant'].value, self.params['sldSubstrate'].value,
self.params['sldSpacer'].value, self.params['sldBackground'].value)
# roughness = self.params["roughness"]*np.ones(len(sld))
thickness = (self.z[1] - self.z[0])*np.ones(len(sld))
roughness = self.params["roughness"].value + self.z * self.params["roughnessSlope"].value
self.I = self.params["i0"] * algorithms.parrat(self.q, sld, roughness, thickness) + self.params["bg"]
self.sld = algorithms.roughsld_thick_layers(self.z, sld, roughness, thickness).real
def calcMagneticModel(self):
if (self.z is not None):
sphere_shifts = [self.params["layerDistance1"].value,\
self.params["layerDistance2"].value,\
self.params["layerDistance3"].value,\
self.params["layerDistance4"].value,\
self.params["layerDistance5"].value,\
self.params["layerDistance6"].value]
packing_densities = [self.params["packingDensity1"].value,
self.params["packingDensity2"].value,
self.params["packingDensity3"].value,
self.params["packingDensity4"].value,
self.params["packingDensity5"].value,
self.params["packingDensity6"].value]
magPacking_densities = [self.params['magDensity1'].value*self.params["packingDensity1"].value,
self.params['magDensity2'].value*self.params["packingDensity2"].value,
self.params['magDensity3'].value*self.params["packingDensity3"].value,
self.params['magDensity4'].value*self.params["packingDensity4"].value,
self.params['magDensity5'].value*self.params["packingDensity5"].value,
self.params['magDensity6'].value*self.params["packingDensity6"].value]
sld = nanospheres.sphere_css_overlapping_stacked_with_spacer(
self.z, sphere_shifts, packing_densities,
self.params['r'].value, self.params['dShell'].value,
self.params['dSurfactant'].value, self.params['dSpacer'].value,
self.params['sldCore'].value, self.params['sldShell'].value,
self.params['sldSurfactant'].value, self.params['sldSubstrate'].value,
self.params['sldSpacer'].value, self.params['sldBackground'].value)
sldMag = nanospheres.sphere_css_overlapping_stacked_with_spacer(
self.z, sphere_shifts, magPacking_densities,
self.params['r'].value, self.params['dShell'].value,
self.params['dSurfactant'].value, self.params['dSpacer'].value,
self.params['magSldCore'].value, self.params['magSldShell'].value,
0, 0, 0, 0)
polarization = self.params['polarization']
P = self.params['polarizationEfficiency']
thickness = (self.z[1] - self.z[0])*np.ones(len(sld))
roughness = self.params["roughness"].value + self.z * self.params["roughnessSlope"].value
Rplus = algorithms.parrat(self.q, sld + sldMag, roughness, thickness)
Rminus = algorithms.parrat(self.q, sld - sldMag, roughness, thickness)
cosGamma = np.cos(self.params['gamma']*np.pi/180)
self.I = self.params["i0"] * 0.5 * (Rplus * ( 1 + polarization*P*cosGamma) + Rminus * ( 1 - polarization*P*cosGamma ) ) + self.params["bg"]
self.sld = algorithms.roughsld_thick_layers(self.z, sld, roughness, thickness).real
self.sldMag = algorithms.roughsld_thick_layers(self.z, sldMag, roughness, thickness).real