def onCalibrate(self, event=None):
x, y = [], []
mca = self.mca
# save old calib
old_calib = mca.offset, mca.slope
init_calib = copy.deepcopy(mca.init_calib)
for roiname, eknown, ecen, w_ncen, w_ndif, w_nwid, w_use in self.wids:
if not w_use.IsChecked():
mca.init_calib.pop(roiname)
xrf_calib_compute(mca, apply=True, _larch=self.larch)
offset, slope = mca.new_calib
self.calib_updated = True
self.new_offset.SetValue("% .3f" % (1000 * offset))
self.new_slope.SetValue("% .3f" % (1000 * slope))
# find ROI peak positions using this new calibration
xrf_calib_fitrois(mca, _larch=self.larch)
for roi in self.mca.rois:
eknown, ecen, fwhm, amp, fit = mca.init_calib[roi.name]
diff = ecen - eknown
for roiname, eknown, ocen, w_ncen, w_ndif, w_nwid, w_use in self.wids:
if roiname == roi.name:
w_ncen.SetLabel("%.1f" % (1000 * ecen))
w_ndif.SetLabel("% .1f" % (1000 * diff))
w_nwid.SetLabel("%.1f" % (1000 * fwhm))
break
# restore calibration to old values until new values are accepted
xrf_calib_apply(mca, offset=old_calib[0], slope=old_calib[1], _larch=self.larch)
mca.init_calib = init_calib
tsize = self.GetSize()
self.SetSize((tsize[0] + 1, tsize[1]))
self.SetSize((tsize[0], tsize[1]))
def onUseCalib(self, event=None):
mca = self.mca
offset = float(self.new_offset.GetValue())
slope = float(self.new_slope.GetValue())
mca.new_calib = offset, slope
xrf_calib_apply(mca, offset=offset, slope=slope, _larch=self.larch)
if hasattr(self.callback, "__call__"):
self.callback(offset, slope, mca=mca)
self.Destroy()
def onUseCalib(self, event=None):
mca = self.mca
offset = float(self.new_offset.GetValue())
slope = float(self.new_slope.GetValue())
mca.new_calib = offset, slope
xrf_calib_apply(mca, offset=offset, slope=slope, _larch=self.larch)
if hasattr(self.callback, '__call__'):
self.callback(offset, slope, mca=mca)
self.Destroy()
def onUseCalib(self, event=None):
mca = self.mca
offset = 0.001*float(self.new_offset.GetValue())
slope = 0.001*float(self.new_slope.GetValue())
mca.new_calib = offset, slope
xrf_calib_apply(mca, offset=offset, slope=slope, _larch=self.larch)
if callable(self.callback):
self.callback(mca)
self.Destroy()
def onCalibrate(self, event=None):
x, y = [], []
mca = self.mca
# save old calib
old_calib = mca.offset, mca.slope
init_calib = copy.deepcopy(mca.init_calib)
for roiname, eknown, ecen, w_ncen, w_ndif, w_nwid, w_use in self.wids:
if not w_use.IsChecked():
mca.init_calib.pop(roiname)
xrf_calib_compute(mca, apply=True, _larch=self.larch)
offset, slope = mca.new_calib
self.calib_updated = True
self.new_offset.SetValue("% .3f" % (1000 * offset))
self.new_slope.SetValue("% .3f" % (1000 * slope))
# find ROI peak positions using this new calibration
xrf_calib_fitrois(mca, _larch=self.larch)
for roi in self.mca.rois:
try:
eknown, ecen, fwhm, amp, fit = mca.init_calib[roi.name]
except:
continue
diff = ecen - eknown
for roiname, eknown, ocen, w_ncen, w_ndif, w_nwid, w_use in self.wids:
if roiname == roi.name:
w_ncen.SetLabel("%.1f" % (1000 * ecen))
w_ndif.SetLabel("% .1f" % (1000 * diff))
w_nwid.SetLabel("%.1f" % (1000 * fwhm))
break
# restore calibration to old values until new values are accepted
xrf_calib_apply(mca,
offset=old_calib[0],
slope=old_calib[1],
_larch=self.larch)
mca.init_calib = init_calib
tsize = self.GetSize()
self.SetSize((tsize[0] + 1, tsize[1]))
self.SetSize((tsize[0], tsize[1]))
