def get_incident_radiation(self):
incident_radiation = IncidentRadiation(
wavelength=OWGenericWidget.get_fit_parameter_from_widget(
self, "wavelength", self.get_parameters_prefix()))
if self.is_multiple_wavelength == 1:
secondary_wavelengths = []
secondary_wavelengths_weights = []
for index in range(0, 4):
var_wl = "wavelength_" + str(2 + index)
var_we = "weight_" + str(2 + index)
secondary_wavelength = OWGenericWidget.get_fit_parameter_from_widget(
self, var_wl, self.get_parameters_prefix())
secondary_wavelength_weight = OWGenericWidget.get_fit_parameter_from_widget(
self, var_we, self.get_parameters_prefix())
if secondary_wavelength.value > 0.0:
secondary_wavelengths.append(secondary_wavelength)
secondary_wavelengths_weights.append(
secondary_wavelength_weight)
incident_radiation.set_multiple_wavelengths(
self.xray_tube_key,
secondary_wavelengths,
secondary_wavelengths_weights,
recalculate=True)
return incident_radiation
def get_size_parameters(self):
if self.active == 1:
if not self.mu_function == 1:
congruence.checkStrictlyPositiveNumber(self.mu, "\u03bc or D")
if self.cb_distribution.currentText(
) != Distribution.DELTA and not self.sigma_function == 1:
congruence.checkStrictlyPositiveNumber(self.sigma, "\u03c3")
if self.cb_distribution.currentText(
) == Distribution.DELTA and not self.fit_global_parameters.measured_dataset.phases[
self.index].use_structure:
raise Exception(
"Delta Distribution cannot be used when the structural model is not activated"
)
return SizeParameters(
shape=self.cb_shape.currentText(),
distribution=self.cb_distribution.currentText(),
mu=OWGenericWidget.get_fit_parameter_from_widget(
self, "mu", self.get_parameters_prefix()),
sigma=None
if self.cb_distribution.currentText() == Distribution.DELTA else
OWGenericWidget.get_fit_parameter_from_widget(
self, "sigma", self.get_parameters_prefix()),
truncation=OWGenericWidget.get_fit_parameter_from_widget(
self, "truncation", self.get_parameters_prefix()) if
(self.cb_distribution.currentText() == Distribution.LOGNORMAL
and self.cb_shape.currentText() == Shape.WULFF) else None,
cube_face=self.cb_cube_face.currentText() if
(self.cb_distribution.currentText() == Distribution.LOGNORMAL
and self.cb_shape.currentText() == Shape.WULFF) else None,
add_saxs=self.add_saxs if self.cb_distribution.currentText()
== Distribution.DELTA else False,
normalize_to=self.normalize_to if
self.cb_distribution.currentText() == Distribution.DELTA else None,
active=self.active == 1)
def get_strain_parameters(self):
if self.active == 1:
if not self.rho_function == 1:
congruence.checkStrictlyPositiveNumber(self.rho, "\u03c1")
if not self.Re_function == 1:
congruence.checkStrictlyPositiveNumber(self.Re, "Re")
if not self.mix_function == 1:
congruence.checkPositiveNumber(self.mix, "mix")
if not self.b_function == 1:
congruence.checkStrictlyPositiveNumber(self.b, "b")
return KrivoglazWilkensModel(
rho=OWGenericWidget.get_fit_parameter_from_widget(
self, "rho", self.get_parameters_prefix()),
Re=OWGenericWidget.get_fit_parameter_from_widget(
self, "Re", self.get_parameters_prefix()),
Ae=OWGenericWidget.get_fit_parameter_from_widget(
self, "Ae", self.get_parameters_prefix()),
Be=OWGenericWidget.get_fit_parameter_from_widget(
self, "Be", self.get_parameters_prefix()),
As=OWGenericWidget.get_fit_parameter_from_widget(
self, "As", self.get_parameters_prefix()),
Bs=OWGenericWidget.get_fit_parameter_from_widget(
self, "Bs", self.get_parameters_prefix()),
mix=OWGenericWidget.get_fit_parameter_from_widget(
self, "mix", self.get_parameters_prefix()),
b=OWGenericWidget.get_fit_parameter_from_widget(
self, "b", self.get_parameters_prefix()),
active=self.active == 1)
def get_strain_parameters(self):
if self.laue_id == 12:
return InvariantPAHLaueGroup13(
aa=OWGenericWidget.get_fit_parameter_from_widget(
self, "aa", self.get_parameters_prefix()),
bb=OWGenericWidget.get_fit_parameter_from_widget(
self, "bb", self.get_parameters_prefix()),
e1=OWGenericWidget.get_fit_parameter_from_widget(
self, "e1", self.get_parameters_prefix()),
e4=OWGenericWidget.get_fit_parameter_from_widget(
self, "e4", self.get_parameters_prefix()),
active=self.active == 1)
elif self.laue_id == 13:
return InvariantPAHLaueGroup14(
aa=OWGenericWidget.get_fit_parameter_from_widget(
self, "aa", self.get_parameters_prefix()),
bb=OWGenericWidget.get_fit_parameter_from_widget(
self, "bb", self.get_parameters_prefix()),
e1=OWGenericWidget.get_fit_parameter_from_widget(
self, "e1", self.get_parameters_prefix()),
e4=OWGenericWidget.get_fit_parameter_from_widget(
self, "e4", self.get_parameters_prefix()),
active=self.active == 1)
else:
return None
def get_background(self):
return ExpDecayBackground(a0=OWGenericWidget.get_fit_parameter_from_widget(self, "a0", self.get_parameters_prefix()),
b0=OWGenericWidget.get_fit_parameter_from_widget(self, "b0", self.get_parameters_prefix()),
a1=OWGenericWidget.get_fit_parameter_from_widget(self, "a1", self.get_parameters_prefix()),
b1=OWGenericWidget.get_fit_parameter_from_widget(self, "b1", self.get_parameters_prefix()),
a2=OWGenericWidget.get_fit_parameter_from_widget(self, "a2", self.get_parameters_prefix()),
b2=OWGenericWidget.get_fit_parameter_from_widget(self, "b2", self.get_parameters_prefix()))
def get_background(self):
return ChebyshevBackground(
c0=OWGenericWidget.get_fit_parameter_from_widget(
self, "c0", self.get_parameters_prefix()),
c1=OWGenericWidget.get_fit_parameter_from_widget(
self, "c1", self.get_parameters_prefix()),
c2=OWGenericWidget.get_fit_parameter_from_widget(
self, "c2", self.get_parameters_prefix()),
c3=OWGenericWidget.get_fit_parameter_from_widget(
self, "c3", self.get_parameters_prefix()),
c4=OWGenericWidget.get_fit_parameter_from_widget(
self, "c4", self.get_parameters_prefix()),
c5=OWGenericWidget.get_fit_parameter_from_widget(
self, "c5", self.get_parameters_prefix()),
c6=OWGenericWidget.get_fit_parameter_from_widget(
self, "c6", self.get_parameters_prefix()),
c7=OWGenericWidget.get_fit_parameter_from_widget(
self, "c7", self.get_parameters_prefix()),
c8=OWGenericWidget.get_fit_parameter_from_widget(
self, "c8", self.get_parameters_prefix()),
c9=OWGenericWidget.get_fit_parameter_from_widget(
self, "c9", self.get_parameters_prefix()))
def get_instrumental_profile(self):
return Caglioti(U=OWGenericWidget.get_fit_parameter_from_widget(
self, "U", self.get_parameters_prefix()),
V=OWGenericWidget.get_fit_parameter_from_widget(
self, "V", self.get_parameters_prefix()),
W=OWGenericWidget.get_fit_parameter_from_widget(
self, "W", self.get_parameters_prefix()),
a=OWGenericWidget.get_fit_parameter_from_widget(
self, "a", self.get_parameters_prefix()),
b=OWGenericWidget.get_fit_parameter_from_widget(
self, "b", self.get_parameters_prefix()),
c=OWGenericWidget.get_fit_parameter_from_widget(
self, "c", self.get_parameters_prefix()))
def get_peak_shift(self):
return Lab6TanCorrection(ax=OWGenericWidget.get_fit_parameter_from_widget(self, "ax", self.get_parameters_prefix()),
bx=OWGenericWidget.get_fit_parameter_from_widget(self, "bx", self.get_parameters_prefix()),
cx=OWGenericWidget.get_fit_parameter_from_widget(self, "cx", self.get_parameters_prefix()),
dx=OWGenericWidget.get_fit_parameter_from_widget(self, "dx", self.get_parameters_prefix()),
ex=OWGenericWidget.get_fit_parameter_from_widget(self, "ex", self.get_parameters_prefix()))
def get_peak_shift(self):
return ZeroError(shift=OWGenericWidget.get_fit_parameter_from_widget(
self, "shift", self.get_parameters_prefix()))
def get_peak_shift(self):
congruence.checkStrictlyPositiveNumber(self.goniometer_radius, "Goniometer Radius")
return SpecimenDisplacement(goniometer_radius=self.goniometer_radius,
displacement=OWGenericWidget.get_fit_parameter_from_widget(self, "displacement", self.get_parameters_prefix()))