def correctintrinsic(self):
for action in self.nimodel.actions():
if action.isChecked():
ni_author = action.text()
for action in self.Radmodel.actions():
if action.isChecked():
radauthor = action.text()
for action in self.Augmodel.actions():
if action.isChecked():
augauthor = action.text()
for action in self.Ionmodel.actions():
if action.isChecked():
ionauthor = action.text()
for item in self.listWidget_data.selectedItems():
intrinsic = rawdata()
tauint = rawdata()
for data in self.Rawdata:
if data.uid == item.data(32) and data.checkset() == True:
intrinsic.name = 'IntrinsicCorrected_' + data.name
intrinsic.Ndop = data.Ndop
intrinsic.temp = data.temp
intrinsic.doptype = data.doptype
intrinsic.PCPL = data.PCPL
intrinsic.nxc = data.nxc
tauint.name = 'Intrinsic_' + data.name
tauint.Ndop = data.Ndop
tauint.temp = data.temp
tauint.doptype = data.doptype
tauint.PCPL = data.PCPL
tauint.nxc = data.nxc
ni = NI(temp=data.temp).update(author=ni_author)
if data.doptype == 'n':
Nd = Ion(temp=data.temp,
ni_author=ni_author).update_dopant_ionisation(
author=ionauthor,
N_dop=data.Ndop,
nxc=0,
impurity='phosphorous')
Na = 1
if data.doptype == 'p':
Na = Ion(temp=data.temp,
ni_author=ni_author).update_dopant_ionisation(
author=ionauthor,
N_dop=data.Ndop,
nxc=0,
impurity='boron')
Nd = 1
itauintrin = rad().itau(ni_author=ni_author, author=radauthor, temp=data.temp, Na=Na, Nd=Nd, nxc=data.nxc) + \
aug().itau(ni_author=ni_author, author=augauthor,
temp=data.temp, Na=Na, Nd=Nd, nxc=data.nxc)
intrinsic.tau = 1. / (1. / data.tau - itauintrin)
tauint.tau = 1. / (itauintrin)
self.Rawdata.append(intrinsic)
self.Rawdata.append(tauint)
self.updateuid()
self.updateDataList()
self.updateplotlist()
self.updatedataplot()
def j0correction(self):
for action in self.Ionmodel.actions():
if action.isChecked():
ionauthor = action.text()
for action in self.nimodel.actions():
if action.isChecked():
ni_author = action.text()
for item in self.listWidget_data.selectedItems():
J0 = rawdata()
J0corrected = rawdata()
for data in self.Rawdata:
if data.uid == item.data(32) and data.checkset() == True:
J0corrected.name = 'J0Corrected_' + data.name
J0corrected.Ndop = data.Ndop
J0corrected.temp = data.temp
J0corrected.doptype = data.doptype
J0corrected.PCPL = data.PCPL
J0corrected.nxc = data.nxc
J0.name = 'J0_' + data.name
J0.Ndop = data.Ndop
J0.temp = data.temp
J0.doptype = data.doptype
J0.PCPL = data.PCPL
J0.nxc = data.nxc
ni = NI(temp=data.temp).update(author=ni_author)
if data.doptype == 'n':
iNdop = Ion(
temp=data.temp,
ni_author=ni_author).update_dopant_ionisation(
author=ionauthor,
N_dop=data.Ndop,
nxc=0,
impurity='phosphorous')
if data.doptype == 'p':
iNdop = Ion(
temp=data.temp,
ni_author=ni_author).update_dopant_ionisation(
author=ionauthor,
N_dop=data.Ndop,
nxc=0,
impurity='boron')
itauj0 = 2 * float(self.lineEdit_j0.text()) * (iNdop + data.nxc) / \
const.e / float(self.lineEdit_thickness.text()) / ni**2
J0corrected.tau = 1. / (1. / data.tau - itauj0)
J0.tau = 1. / (itauj0)
self.Rawdata.append(J0corrected)
self.Rawdata.append(J0)
self.updateuid()
self.updateDataList()
self.updateplotlist()
self.updatedataplot()
def generteCaldts(T,
Ndop,
doptypelist,
ionauthor='Altermatt_2006_table1',
vthauthor='Green_1990',
ni_author='Couderc_2014',
**kwarg):
vth_e300, vth_h300 = Vel_th().update(temp=300, author=vthauthor)
Caldts = []
for i in range(len(T)):
vth_e, vth_h = Vel_th().update(temp=T[i], author=vthauthor)
Ni = ni().update(temp=T[i], author=ni_author)
doptype = doptypelist[i]
if doptype == 'n':
Nidop = Ion(temp=T[i],
ni_author=ni_author).update_dopant_ionisation(
N_dop=Ndop[i],
nxc=0,
impurity='phosphorous',
author=ionauthor)
n0, p0 = CF.get_carriers(1,
Nidop,
0,
temp=T[i],
ni_author=ni_author)
elif doptype == 'p':
Nidop = Ion(temp=T[i],
ni_author=ni_author).update_dopant_ionisation(
N_dop=Ndop[i],
nxc=0,
impurity='boron',
author=ionauthor)
n0, p0 = CF.get_carriers(Nidop,
0,
0,
temp=T[i],
ni_author=ni_author)
dts = {
'ni': Ni,
'vth_e': vth_e,
'vth_h': vth_h,
'n0': n0,
'p0': p0,
'T': T[i],
'doptype': doptype,
'vth_e300': vth_e300,
'vth_h300': vth_h300
}
Caldts.append(dts.copy())
return Caldts
def _get_available_models(self):
ni = NI().available_models()
mobility = Mobility().available_models()
ionisation = Ion().available_models()
B = Radiative().available_models()
values = locals()
del values['self']
self.available_models = values
return self.available_models
def _update_links(self):
# setting downstream values, this should change from initalisation
# to just updating through the update function
self.Mob = Mob(material=self._cal_dts['material'],
author=self._cal_dts['mob_author'],
temp=self._cal_dts['temp'])
self.ni = ni(material=self._cal_dts['material'],
author=self._cal_dts['nieff_author'],
temp=self._cal_dts['temp'])
self.ion = Ion(material=self._cal_dts['material'],
author=self._cal_dts['ionis_author'],
ni_author=self._cal_dts['nieff_author'],
temp=self._cal_dts['temp'])
def _update_update(self):
'''
creates a dictionary that holds
the required semiconudctor models for easy
calling
'''
self.update = {
'ni':
NI(material=self.material,
author=self.selected_model['ni']).update,
'mobility':
Mobility(material=self.material,
author=self.selected_model['mobility']).mobility_sum,
'ionisation':
Ion(material=self.material,
author=self.selected_model['ionisation']).
update_dopant_ionisation,
'B':
Radiative(
material=self.material,
author=self.selected_model['B'],
)._get_B
}
def __init__(self, parent=None):
self.Rawdata = []
QMainWindow.__init__(self, parent)
self.setupUi(self)
self.listWidget_data.setSelectionMode(
QtWidgets.QAbstractItemView.ExtendedSelection)
self.listWidget_data.itemSelectionChanged.connect(self.checkselection)
self.listWidget_data.itemDoubleClicked.connect(self.Opensetting)
self.listWidget_data.setContextMenuPolicy(Qt.CustomContextMenu)
self.listWidget_data.customContextMenuRequested.connect(
self.itemrightclicked)
self.listWidget_plotlist.setSelectionMode(
QtWidgets.QAbstractItemView.ExtendedSelection)
self.listWidget_plotlist.itemSelectionChanged.connect(
self.checkselection)
self.listWidget_analysis.setSelectionMode(
QtWidgets.QAbstractItemView.ExtendedSelection)
self.listWidget_analysis.itemSelectionChanged.connect(
self.checkselection)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.verticalLayout.addWidget(self.canvas)
self.verticalLayout.addWidget(self.toolbar)
self.ax1 = self.figure.add_subplot(111)
self.ax1.set_xlabel(r'Excess carrier density $[cm^{-3}]$')
self.ax1.set_ylabel('Lifetime [s]')
self.figure.tight_layout()
self.pushButton_load.clicked.connect(self.loaddata)
self.pushButton_del.setEnabled(False)
self.pushButton_del.clicked.connect(self.deldata)
self.pushButton_data2plot.clicked.connect(self.add2plot)
self.pushButton_data2plot.setEnabled(False)
self.pushButton_delplot.clicked.connect(self.delplot)
self.pushButton_delplot.setEnabled(False)
self.pushButton_set.clicked.connect(self.Opensetting)
self.pushButton_set.setEnabled(False)
self.pushButton_data2fit.clicked.connect(self.add2analysis)
self.pushButton_data2fit.clicked.connect(self.checkselection)
self.pushButton_data2fit.setEnabled(False)
self.pushButton_delanalysis.clicked.connect(self.delAnalysis)
self.pushButton_delanalysis.clicked.connect(self.checkselection)
self.pushButton_delanalysis.setEnabled(False)
self.pushButton_viewset.clicked.connect(self.viewset)
self.pushButton_viewset.clicked.connect(self.checkselection)
self.pushButton_viewset.setEnabled(False)
self.comboBox_plotwhat.currentIndexChanged.connect(self.updatedataplot)
self.comboBox_plotinverse.currentIndexChanged.connect(
self.updatedataplot)
self.pushButton_expdata.clicked.connect(self.export)
self.pushButton_corp.clicked.connect(self.croppreview)
self.pushButton_corp.setEnabled(False)
self.pushButton_intcorrect.clicked.connect(self.correctintrinsic)
self.pushButton_intcorrect.setEnabled(False)
self.pushButton_sub2data.clicked.connect(self.sub2)
self.pushButton_sub2data.setEnabled(False)
self.pushButton_mergetwo.clicked.connect(self.merge2)
self.pushButton_mergetwo.setEnabled(False)
self.pushButton_Analysis.clicked.connect(self.StartAnalysis)
self.pushButton_Analysis.setEnabled(False)
self.lineEdit_croplow.textChanged[str].connect(self.checkcorp)
self.lineEdit_crophigh.textChanged[str].connect(self.checkcorp)
self.lineEdit_j0.textChanged[str].connect(self.checkj0)
self.lineEdit_thickness.textChanged[str].connect(self.checkj0)
self.pushButton_corpconfirm.setEnabled(False)
self.pushButton_corpconfirm.clicked.connect(self.crop)
self.pushButton_corpcancel.setEnabled(False)
self.pushButton_corpcancel.clicked.connect(self.cropcancel)
self.pushButton_j0correction.clicked.connect(self.j0correction)
self.pushButton_j0correction.setEnabled(False)
availablNI = NI().available_models()
availablRad = rad().available_models()
availablAug = aug().available_models()
availablIon = Ion().available_models()
self.menubar = self.menuBar()
self.choosmodel = self.menubar.addMenu('Choose your models')
self.nimodel = self.choosmodel.addMenu('ni models')
self.Ionmodel = self.choosmodel.addMenu('Ionisation models')
self.Radmodel = self.choosmodel.addMenu('Radiative models')
self.Augmodel = self.choosmodel.addMenu('Auger models')
self.nigroup = QActionGroup(self)
self.radgroup = QActionGroup(self)
self.auggroup = QActionGroup(self)
self.iongroup = QActionGroup(self)
for nimodel in availablNI:
a = self.nigroup.addAction(QAction(nimodel, checkable=True))
if nimodel == 'Couderc_2014':
a.setChecked(True)
self.nimodel.addAction(a)
for radmodel in availablRad:
b = self.radgroup.addAction(QAction(radmodel, checkable=True))
if radmodel == 'Altermatt_2005':
b.setChecked(True)
self.Radmodel.addAction(b)
for augmodel in availablAug:
c = self.auggroup.addAction(QAction(augmodel, checkable=True))
if augmodel == 'Richter2012':
c.setChecked(True)
self.Augmodel.addAction(c)
for ionmodel in availablIon:
d = self.iongroup.addAction(QAction(ionmodel, checkable=True))
if ionmodel == 'Altermatt_2006_table1':
d.setChecked(True)
self.Ionmodel.addAction(d)