223 lines
8.4 KiB
Python
223 lines
8.4 KiB
Python
"""
|
|
Arguments:
|
|
|
|
"""
|
|
|
|
MOTORS = [Eph]
|
|
POSITIONS_N = [540]
|
|
for nn in range(52):
|
|
POSITIONS_N.append(POSITIONS_N[-1]+4)
|
|
|
|
|
|
POSITIONS_C = [355]
|
|
for nn in range(64):
|
|
POSITIONS_C.append(POSITIONS_C[-1]+4)
|
|
|
|
POSITIONS_O = [600]
|
|
for nn in range(64):
|
|
POSITIONS_O.append(POSITIONS_O[-1]+4)
|
|
|
|
LATENCY = 0.0
|
|
|
|
REGION_N1 = {'name': 'N 1s peak', 'elo': 129., 'ehi': 138.5, 'estep': 0.15, 'epass': 100, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGION_N2 = {'name': 'N 1s tail', 'elo': 138.5, 'ehi': 148.0, 'estep': 0.5, 'epass': 100, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGIONS_N = [REGION_N1, REGION_N2]
|
|
|
|
REGION_C1 = {'name': 'C 1s lower tail', 'elo': 50, 'ehi': 58, 'estep': 0.5, 'epass': 50, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGION_C2 = {'name': 'C 1s peak', 'elo': 58, 'ehi': 68.5, 'estep': 0.15, 'epass': 50, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGION_C3 = {'name': 'C 1s upper tail', 'elo': 68.5, 'ehi': 78.5, 'estep': 0.5, 'epass': 50, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGIONS_C = [REGION_C1, REGION_C2, REGION_C3]
|
|
|
|
REGION_O1 = {'name': 'O 1s lower tail', 'elo': 50, 'ehi': 60, 'estep': 0.5, 'epass': 50, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGION_O2 = {'name': 'O 1s peak', 'elo': 60, 'ehi': 67, 'estep': 0.15, 'epass': 50, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGION_O3 = {'name': 'O 1s upper tail', 'elo': 67, 'ehi': 77, 'estep': 0.5, 'epass': 50, 'tstep': 1.5, 'iter': 1, 'cis': True}
|
|
REGIONS_O = [REGION_O1, REGION_O2, REGION_O3]
|
|
|
|
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)
|
|
sample_pos = [ [-8.8,-3.60, 0.20,114.0],
|
|
[-8.8,-3.60,-2.20,115.1],
|
|
[-8.8,-3.60,-2.20,117.1],
|
|
[11.2,-3.75, 0.20,113.0],
|
|
[11.2,-3.75, 0.20,112.0],
|
|
[11.2,-3.10,-2.20,116.1],
|
|
[31.2,-3.60,-0.10,116.5],
|
|
[31.2,-3.60, 0.25,115.5],
|
|
[31.2,-2.70,-2.20,114.1],
|
|
[51.2,-3.80,-0.10,118.5],
|
|
[51.2,-3.80,-0.10,117.5],
|
|
[51.2,-0.90,-2.20,112.1]]
|
|
jj = 0
|
|
for nn in sample_pos:
|
|
ManipulatorX.move(nn[1])
|
|
ManipulatorY.move(nn[2])
|
|
ManipulatorZ.move(nn[3])
|
|
ManipulatorTheta.move(nn[0])
|
|
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()
|