Files
x03da/script/users/AlXPSTimeEvolution.py
2017-04-12 12:52:14 +02:00

98 lines
3.7 KiB
Python

#Parameters (global variables):
# ranges: list of RangeSelection havinf args = (step_size, step_time, iterations)
# pass_energy
# save_scienta_image
#
# skip_iteration: if set to 1 then skips after end of current iteration
from ch.psi.pshell.data.LayoutDefault import ATTR_WRITABLE_DIMENSION as ATTR_WRITABLE_DIMENSION
Scienta.acquisitionMode = Scienta.AcquisitionMode.Swept
try:
xdata = None
ydata = None
image_data = None
while True: # iterations
while True: # check beam
path="scan 1/"
Scienta.passEnergy = pass_energy
Scienta.lowEnergy.write(ranges[cur_range].min)
Scienta.highEnergy.write(ranges[cur_range].max)
Scienta.stepTime.write(vars[0])
Scienta.stepSize.write(vars[1])
Scienta.setIterations(1)
Scienta.update()
set_adc_averaging()
wait_beam()
trig_scienta()
spectrum1 = Scienta.spectrum.read()
path="scan 2/"
Scienta.passEnergy = pass_energy
Scienta.lowEnergy.write(ranges[cur_range].min)
Scienta.highEnergy.write(ranges[cur_range].max)
Scienta.stepTime.write(vars[0])
Scienta.stepSize.write(vars[1])
Scienta.setIterations(1)
Scienta.update()
set_adc_averaging()
wait_beam()
trig_scienta()
spectrum2 = Scienta.spectrum.read()
if beam_ok:
break
if ydata is None:
ydata = spectrum_array
else:
for k in range (len(spectrum_array)):
ydata[k] = ydata[k] + spectrum_array[k]
if xdata is None:
xdata = Scienta.spectrumX
plots[cur_range+1].getSeries(0).setData(xdata, ydata)
if save_scienta_image:
image_array = Scienta.dataMatrix.read()
if image_data is None:
image_data = image_array
else:
for k in range (len(image_data)):
for j in range (len(image_data[0])):
image_data[k][j] = image_data[k][j] + image_array[k][j]
if skip_iteration:
break
save_dataset(path + "ScientaSpectrum", ydata)
set_attribute(path, "Iterations",cur_iteration+1)
if save_scienta_image:
save_dataset(path + "ScientaImage", image_data)
if cur_iteration==0:
save_dataset(path + "ScientaChannels", xdata)
set_attribute(path + "ScientaChannels", ATTR_WRITABLE_DIMENSION, 1)
set_attribute(path, "Range Low", ranges[cur_range].min)
set_attribute(path, "Range High", ranges[cur_range].max)
set_attribute(path, "Step Time",vars[0])
set_attribute(path, "Step Size",vars[1])
set_attribute(path, "Pass Energy",pass_energy)
set_attribute(path, "Readables", ["ScientaSpectrum","ScientaImage"] if save_scienta_image else ["ScientaSpectrum",])
set_attribute(path, "Writables", ["ScientaChannels",])
create_diag_datasets(path)
append_diag_datasets(path)
ret.append((xdata, ydata))
finally:
cur_range = -1
if not Scienta.isReady():
Scienta.stop()
Scienta.update()
task[0].cancel(True)
if ENDSCAN:
after_scan()
set_return(to_array(ret,'o'))