def mg_same_thick_test(self):
sigma = self.b.full_sigma_calculation([[1.8,100]], 5)
r1 = self.b.ranges(200, '10B4C 2.24g/cm3')
thick = 1
# check if mg with 1 blade and single blade gives the same value
assert numpy.isclose(mg_same_thick(sigma[0], r1, thick, 1), [efficiency4boron(thick, r1[0], r1[1], r1[2], r1[3], sigma[0])[0]], rtol=1e-05, atol=1e-08, equal_nan=False)
assert numpy.isclose( mg_same_thick(sigma[0], r1, thick, 20), [0.69218537268800717], rtol=1e-05, atol=1e-08, equal_nan=False)
def eff_boron_multiblade_doublecoated(self):
"""Deprecated"""
print('')
print('Boron multi-blade double coated calculation ')
ranges = self.Boron.ranges(self.thresholdSpinBox.value(),
str(self.converterComboBox.currentText()))
sigma = self.Boron.full_sigma_calculation([self.lambdaSpinBox.value()],
self.angleSpinBox.value())
# TODO add aluminium consideration
result = efftools.mg_same_thick(sigma, ranges, self.BSpinBox.value(),
self.bladeSpinBox.value())
self.plotTitleLAbel.setText('Multi blade plots')
self.figure.clf()
data = efftools.data_samethick_vs_thickandnb(
sigma, ranges, [self.bladeSpinBox.value()], self)
def plotview(self):
"""Deprecated This method is called when the plot button is pushed """
if self.yAxisComboBox.currentText() == 'Efficiency':
if self.xAxisComboBox.currentText() == 'Thickness':
if self.varComboBox.currentText() == 'Number of blades':
if len(self.plotlist) < 1:
self.plotTitleLAbel.setText(
'<html><head/><body><p><span style=" font-size:14pt; font-weight:600;">Efficiency VS Thickness with different Number of blades</span></p></body></html>'
)
self.thresholdSpinBox.setEnabled(False)
self.converterComboBox.setEnabled(False)
self.angleSpinBox.setEnabled(False)
self.lambdaSpinBox.setEnabled(False)
self.BSpinBox.setEnabled(False)
self.xAxisComboBox.setEnabled(False)
self.yAxisComboBox.setEnabled(False)
self.varComboBox.setEnabled(False)
ranges = self.Boron.ranges(
self.thresholdSpinBox.value(),
str(self.converterComboBox.currentText()))
sigma = self.Boron.full_sigma_calculation(
[self.lambdaSpinBox.value()],
self.angleSpinBox.value())
eff = efftools.mg_same_thick(sigma, ranges,
self.BSpinBox.value(),
self.bladeSpinBox.value())[0]
metadata = efftools.metadata_samethick_vs_thickandnb(
sigma, ranges, self.bladeSpinBox.value())
newplot = {
str(len(self.plotlist)): {
'thickness': self.BSpinBox.value(),
'nb': self.bladeSpinBox.value(),
'wavelength': self.lambdaSpinBox.value(),
'angle': self.angleSpinBox.value(),
'threshold': self.thresholdSpinBox.value(),
'eff': eff,
'meta': metadata
}
}
self.add_new_plot(newplot)
# id = newplot.keys()[0]
self.plotlist.update(newplot)
self.plot_list('d (um)', 'Efficiency')
elif self.xAxisComboBox.currentText() == 'Wavelength':
if len(self.plotlist) < 1:
self.plotTitleLAbel.setText(
'<html><head/><body><p><span style=" font-size:14pt; font-weight:600;">Efficiency VS Thickness with different Number of blades</span></p></body></html>'
)
self.thresholdSpinBox.setEnabled(False)
self.converterComboBox.setEnabled(False)
self.angleSpinBox.setEnabled(False)
self.lambdaSpinBox.setEnabled(False)
self.BSpinBox.setEnabled(False)
self.xAxisComboBox.setEnabled(False)
self.yAxisComboBox.setEnabled(False)
self.varComboBox.setEnabled(False)
ranges = self.Boron.ranges(
self.thresholdSpinBox.value(),
str(self.converterComboBox.currentText()))
sigmalist = np.arange(0.0011, 20, 0.1)
sigmaeq = []
sigma = self.Boron.full_sigma_calculation(
[self.lambdaSpinBox.value()], self.angleSpinBox.value())
eff = efftools.mg_same_thick(sigma, ranges,
self.BSpinBox.value(),
self.bladeSpinBox.value())[0]
for sigma in sigmalist:
sigmaeq.append(
self.Boron.full_sigma_calculation(
[sigma], self.angleSpinBox.value()))
y = efftools.metadata_samethick_vs_wave(
sigmaeq, self.BSpinBox.value(), ranges,
self.bladeSpinBox.value())
metadata = [sigmalist, y]
newplot = {
str(len(self.plotlist)): {
'thickness': self.BSpinBox.value(),
'nb': self.bladeSpinBox.value(),
'wavelength': self.lambdaSpinBox.value(),
'angle': self.angleSpinBox.value(),
'threshold': self.thresholdSpinBox.value(),
'eff': eff,
'meta': metadata
}
}
self.add_new_plot(newplot)
# id = newplot.keys()[0]
self.plotlist.update(newplot)
self.plot_list('Wavelength', 'Efficiency')