Script execution
This commit is contained in:
198
script/users/TUM_PhD.py
Normal file
198
script/users/TUM_PhD.py
Normal file
@@ -0,0 +1,198 @@
|
||||
"""
|
||||
Arguments:
|
||||
|
||||
"""
|
||||
LATENCY = 0.0
|
||||
MOTORS = [Eph]
|
||||
|
||||
#262eV : KE = 70eV for B 1s
|
||||
#100eV : KE = for Ge 3d
|
||||
|
||||
POSITIONS_B = [262]
|
||||
for nn in range(20):
|
||||
POSITIONS_B.append(POSITIONS_B[-1]+4)
|
||||
# BORON 1s
|
||||
REGION_B = {'name': 'B 1s peak+tail', 'elo': 62., 'ehi': 75., 'estep': 0.10, 'epass': 20, 'tstep': 1, 'iter': 1, 'cis': True}
|
||||
REGIONS_B = [REGION_B]
|
||||
|
||||
# XSP check for beam damage
|
||||
POSITIONB = [550]
|
||||
REGION3 = {'name': 'N 1s peak', 'elo': 134., 'ehi': 154, 'estep': 0.05, 'epass': 50, 'tstep': 0.5, 'iter': 1, 'cis': True}
|
||||
REGIONSB = [REGION3]
|
||||
CLOSE_SHUTTER_AT_END = True
|
||||
|
||||
Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
|
||||
|
||||
class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
|
||||
def initialize(self):
|
||||
#super(SpectrumReader, self).initialize()
|
||||
self.scan_index = -1
|
||||
|
||||
def create_datasets(self):
|
||||
path = get_exec_pars().scanPath + self.region_name + "/"
|
||||
|
||||
self.channel_begin_dataset_name = path + "ScientaChannelBegin"
|
||||
self.channel_end_dataset_name = path + "ScientaChannelEnd"
|
||||
self.pass_energy_dataset_name = path + "ScientaPassEnergy"
|
||||
self.step_energy_dataset_name = path + "ScientaStepEnergy"
|
||||
self.step_time_dataset_name = path + "ScientaStepTime"
|
||||
self.iterations_dataset_name = path + "ScientaIterations"
|
||||
|
||||
create_dataset(self.channel_begin_dataset_name, 'd')
|
||||
create_dataset(self.channel_end_dataset_name, 'd')
|
||||
create_dataset(self.pass_energy_dataset_name, 'd')
|
||||
create_dataset(self.step_energy_dataset_name, 'd')
|
||||
create_dataset(self.step_time_dataset_name, 'd')
|
||||
create_dataset(self.iterations_dataset_name, 'd')
|
||||
|
||||
def setup(self):
|
||||
if self.scan_index != get_exec_pars().index:
|
||||
self.scan_index = get_exec_pars().index
|
||||
self.create_datasets()
|
||||
if self.region_index == 0:
|
||||
print "scan {0}".format(self.scan_index)
|
||||
|
||||
ephot = Eph.read()
|
||||
try:
|
||||
if self.region['cis']:
|
||||
edelta = ephot - self.ephot_start
|
||||
else:
|
||||
edelta = 0.0
|
||||
except AttributeError:
|
||||
self.ephot_start = ephot
|
||||
edelta = 0.0
|
||||
|
||||
elo = self.region['elo'] + edelta
|
||||
ehi = self.region['ehi'] + edelta
|
||||
|
||||
Scienta.lowEnergy.write(elo)
|
||||
Scienta.highEnergy.write(ehi)
|
||||
Scienta.stepSize.write(self.region['estep'])
|
||||
Scienta.setPassEnergy(self.region['epass'])
|
||||
Scienta.stepTime.write(self.region['tstep'])
|
||||
Scienta.setIterations(self.region['iter'])
|
||||
Scienta.update()
|
||||
|
||||
append_dataset(self.channel_begin_dataset_name, elo)
|
||||
append_dataset(self.channel_end_dataset_name, ehi)
|
||||
append_dataset(self.pass_energy_dataset_name, self.region['epass'])
|
||||
append_dataset(self.step_energy_dataset_name, self.region['estep'])
|
||||
append_dataset(self.step_time_dataset_name, self.region['tstep'])
|
||||
append_dataset(self.iterations_dataset_name, self.region['iter'])
|
||||
|
||||
def read(self):
|
||||
global current_region_index
|
||||
current_region_index = self.region_index
|
||||
self.setup()
|
||||
print "Photon energy {ephot} eV. Acquiring spectrum {elo}-{ehi} eV.".format(ephot=Eph.read(), elo=Scienta.lowEnergy.value, ehi=Scienta.highEnergy.value)
|
||||
trig_scienta()
|
||||
time.sleep(0.5)
|
||||
sp = Scienta.getSpectrum().read()
|
||||
return sp
|
||||
|
||||
def getSize(self):
|
||||
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
|
||||
return nx
|
||||
|
||||
|
||||
class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
|
||||
def read(self):
|
||||
return Scienta.getDataMatrix().read()
|
||||
|
||||
def getWidth(self):
|
||||
nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
|
||||
return nx
|
||||
|
||||
def getHeight(self):
|
||||
ny = Scienta.slices.read()
|
||||
return ny
|
||||
|
||||
def setup_live_plots(regions):
|
||||
global live_plots
|
||||
global current_region_index
|
||||
names = [region['name'] for region in regions]
|
||||
live_plots = plot(None, names, title="Live Spectra")
|
||||
current_region_index = 0
|
||||
|
||||
def update_live_plots():
|
||||
global live_plots
|
||||
global current_region_index
|
||||
try:
|
||||
while get_context().state.running:
|
||||
y = Scienta.spectrum.take(100)
|
||||
x = Scienta.spectrumX
|
||||
try:
|
||||
series = live_plots[current_region_index].getSeries(0)
|
||||
series.setData(x, y)
|
||||
except IndexError:
|
||||
pass
|
||||
time.sleep(1.0)
|
||||
finally:
|
||||
print "Stopping live spectra"
|
||||
|
||||
def do_scan(motors, positions, regions, latency):
|
||||
global SENSORS
|
||||
|
||||
SENSORS = []
|
||||
|
||||
for (index, region) in enumerate(regions):
|
||||
reader = SpectrumReader()
|
||||
reader.region_index = index
|
||||
reader.region_name = "region{0}".format(index + 1)
|
||||
reader.region = region
|
||||
reader.initialize()
|
||||
set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
|
||||
SENSORS.append(reader)
|
||||
|
||||
image = ImageReader()
|
||||
image.region_index = index
|
||||
image.region = region
|
||||
image.initialize()
|
||||
set_device_alias(image, reader.region_name + "/ScientaImage")
|
||||
SENSORS.append(image)
|
||||
|
||||
SENSORS.append(SampleCurrent)
|
||||
SENSORS.append(RefCurrent)
|
||||
adjust_sensors()
|
||||
set_adc_averaging()
|
||||
|
||||
vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
|
||||
|
||||
for (index, region) in enumerate(regions):
|
||||
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
|
||||
set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
|
||||
set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
|
||||
|
||||
try:
|
||||
setup_live_plots(REGIONSB)
|
||||
task = fork(update_live_plots)
|
||||
# theta, x, y, z
|
||||
sample_pos = [ [-9.1,-0.5, 0.20, 115.0]]
|
||||
jj = 0
|
||||
for nn in sample_pos:
|
||||
ManipulatorX.move(nn[1])
|
||||
ManipulatorY.move(nn[2])
|
||||
ManipulatorZ.move(nn[3])
|
||||
ManipulatorTheta.move(nn[0])
|
||||
#do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS before PhD
|
||||
do_scan(MOTORS, POSITIONS_B, REGIONS_B, LATENCY) #PhD
|
||||
#do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS after PhD
|
||||
# if jj == 0:
|
||||
# do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS before PhD
|
||||
# do_scan(MOTORS, POSITIONS_N, REGIONS_N, LATENCY) #PhD
|
||||
# do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS after PhD
|
||||
# jj = 1
|
||||
# elif jj == 1:
|
||||
# do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS before PhD
|
||||
# do_scan(MOTORS, POSITIONS_C, REGIONS_C, LATENCY) #PhD
|
||||
# do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS after PhD
|
||||
# jj = 2
|
||||
# else:
|
||||
# do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS before PhD
|
||||
# do_scan(MOTORS, POSITIONS_O, REGIONS_O, LATENCY) #PhD
|
||||
# do_scan(MOTORS, POSITIONB, REGIONSB, LATENCY) #XPS after PhD
|
||||
# jj = 0
|
||||
|
||||
finally:
|
||||
if CLOSE_SHUTTER_AT_END:
|
||||
after_scan()
|
||||
Reference in New Issue
Block a user