253 lines
9.7 KiB
Python
253 lines
9.7 KiB
Python
"""
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Discrete scan (vector scan) of multiple spectral regions
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"""
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PHI_RANGE = (-160.0, 160.0) # (tuple (min, max))
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THETA_RANGE = (-9.0, 81.0) # (tuple (min, max))
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STEPS = (40.0, 1.0) # (tuple (phi, theta))
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ZIGZAG = True
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# scan positioner: Eph = photon energy
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#MOTORS = (ManipulatorPhi, ManipulatorTheta)
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#MOTORS = [ManipulatorPhi]
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MOTORS = [dummy]
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# comma-separated discrete list of scan positions
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#POSITIONS = [(PHI_RANGE[0], THETA_RANGE[0]), (PHI_RANGE[1], THETA_RANGE[1]), STEPS]
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#POSITIONS = [-175., 180., 5.]
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POSITIONS = [0.]
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# seconds to wait between positioning command and triggering the detector
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LATENCY = 0.0
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# region setup
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#
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# for each region, define a python dictionary with the following items.
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# optional items can be left unspecified and will default to the indicated values.
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# for swept mode, include 'elo', 'ehi', 'estep', 'iter' values, but do not include 'efix'.
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# for fixed mode, include 'efix' value, but do not include 'elo', 'ehi', 'estep', 'iter'.
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#
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# 'name': user-specific name of the region (for graph title and RegionName attribute in data file)
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# 'elo': lower kinetic energy boundary of the spectrum
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# 'ehi': upper kinetic energy boundary of the spectrum
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# 'estep': energy step size
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# 'efix': center kinetic energy in fixed mode
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# 'epass': pass energy
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# 'tstep': dwell time in seconds
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# 'iter': number of iterations/sweeps (default 1)
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# 'cis': True = constant initial state (photoemission line), False = constant final state (Auger peak), (default False)
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# 'slit': exit slit (default current value)
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#REGION1 = {'name': 'test1', 'ephot': 1000, 'efix': 954.5, 'epass': 100., 'tstep': 20., 'iter': 1, 'cis': False}
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REGION1 = {'name': 'test2', 'ephot': 120, 'elo': 70, 'ehi': 80,'estep': 0.02, 'epass': 20., 'tstep': 0.4, 'iter': 1, 'cis': False}
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REGION2 = {'name': 'test2', 'ephot': 120, 'elo': 95, 'ehi': 105,'estep': 0.02, 'epass': 20., 'tstep': 0.4, 'iter': 1, 'cis': False}
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#REGION1 = {'name': 'secondary', 'elo': 9.0, 'ehi': 11.0, 'estep': 0.02, 'epass': 2, 'tstep': 0.20, 'iter': 1, 'cis': False}
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#REGION2 = {'name': 'fermi', 'elo': 23.5, 'ehi': 27.5, 'estep': 0.02, 'epass': 2, 'tstep': 0.35, 'iter': 1, 'cis': False}
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# list of region dictionaries to execute at each scan position
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REGIONS = [REGION1, REGION2]
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# close beam shutter and turn off analyser at the end of the scan
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CLOSE_SHUTTER_AT_END = True
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# --- DO NOT EDIT BELOW THIS LINE! ---
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set_exec_pars(keep=False)
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def check_region(region):
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"""
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check region dictionary items and apply defaults where necessary
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"""
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region['fixed'] = 'efix' in region
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if region['fixed']:
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region['elo'] = region['efix']
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region['ehi'] = region['efix']
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if 'iter' not in region:
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region['iter'] = 1
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print("region {0}: setting default iter = {1}".format(region['name'], region['iter']))
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if 'cis' not in region:
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region['cis'] = False
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print("region {0}: setting default cis = {1}".format(region['name'], region['cis']))
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if 'slit' not in region:
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region['slit'] = ExitSlit.read()
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print("region {0}: setting default slit = {1}".format(region['name'], region['slit']))
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class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
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def initialize(self):
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#super(SpectrumReader, self).initialize()
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self.scan_index = -1
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def create_datasets(self):
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path = get_exec_pars().scanPath + self.region_name + "/"
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self.channel_begin_dataset_name = path + "ScientaChannelBegin"
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self.channel_end_dataset_name = path + "ScientaChannelEnd"
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self.channel_center_dataset_name = path + "ScientaChannelCenter"
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self.pass_energy_dataset_name = path + "ScientaPassEnergy"
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self.step_energy_dataset_name = path + "ScientaStepEnergy"
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self.step_time_dataset_name = path + "ScientaStepTime"
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self.iterations_dataset_name = path + "ScientaIterations"
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self.slit_dataset_name = path + "ExitSlit"
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create_dataset(self.channel_begin_dataset_name, 'd')
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create_dataset(self.channel_end_dataset_name, 'd')
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create_dataset(self.channel_center_dataset_name, 'd')
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create_dataset(self.pass_energy_dataset_name, 'd')
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create_dataset(self.step_energy_dataset_name, 'd')
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create_dataset(self.step_time_dataset_name, 'd')
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create_dataset(self.iterations_dataset_name, 'd')
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create_dataset(self.slit_dataset_name, 'd')
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def setup(self):
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print("spectrum.setup")
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if self.scan_index != get_exec_pars().index:
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self.scan_index = get_exec_pars().index
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self.create_datasets()
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if self.region_index == 0:
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print "scan {0}".format(self.scan_index)
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#ephot = Eph.read()
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#try:
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# if self.region['cis']:
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# edelta = ephot - self.ephot_start
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# else:
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# edelta = 0.0
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#except AttributeError:
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# self.ephot_start = ephot
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edelta = 0.0
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elo = self.region['elo'] + edelta
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ehi = self.region['ehi'] + edelta
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if self.region['fixed']:
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Eph.write(self.region['ephot'])
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Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Fixed)
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Scienta.centerEnergy.write(elo)
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else:
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Eph.write(self.region['ephot'])
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Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
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Scienta.lowEnergy.write(elo)
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Scienta.highEnergy.write(ehi)
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Scienta.stepSize.write(self.region['estep'])
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#Scienta.setPassEnergy(self.region['epass'])
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#Scienta.stepTime.write(self.region['tstep'])
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#Scienta.setIterations(self.region['iter'])
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#ExitSlit.write(self.region['slit'])
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#Scienta.update()
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if self.region['fixed']:
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append_dataset(self.channel_center_dataset_name, elo)
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else:
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append_dataset(self.channel_begin_dataset_name, elo)
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append_dataset(self.channel_end_dataset_name, ehi)
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append_dataset(self.step_energy_dataset_name, self.region['estep'])
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append_dataset(self.pass_energy_dataset_name, self.region['epass'])
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append_dataset(self.step_time_dataset_name, self.region['tstep'])
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append_dataset(self.iterations_dataset_name, self.region['iter'])
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append_dataset(self.slit_dataset_name, self.region['slit'])
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def read(self):
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print("spectrum.read")
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global current_region_index
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current_region_index = self.region_index
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self.setup()
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print("Acquiring region {0}.".format(self.region['name']))
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trig_scienta()
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time.sleep(0.5)
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sp = Scienta.getSpectrum().read()
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return sp
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def getSize(self):
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if self.region['fixed']:
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nx = 992
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else:
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nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
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return nx
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class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
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def read(self):
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print("image.read")
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return Scienta.getDataMatrix().read()
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def getWidth(self):
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if self.region['fixed']:
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nx = 992
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else:
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nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
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return nx
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def getHeight(self):
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ny = Scienta.slices.read()
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return ny
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def setup_live_plots(regions):
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global live_plots
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global current_region_index
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names = [region['name'] for region in regions]
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live_plots = plot(None, names, title="Live Spectra")
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current_region_index = 0
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def update_live_plots():
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global live_plots
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global current_region_index
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try:
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while get_context().state.running:
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y = Scienta.spectrum.take(100)
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x = Scienta.spectrumX
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try:
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series = live_plots[current_region_index].getSeries(0)
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series.setData(x, y)
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except IndexError:
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pass
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time.sleep(1.0)
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finally:
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print "Stopping live spectra"
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def do_scan(motors, positions, regions, latency):
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global SENSORS
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SENSORS = []
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for (index, region) in enumerate(regions):
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check_region(region)
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reader = SpectrumReader()
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reader.region_index = index
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reader.region_name = "region{0}".format(index + 1)
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reader.region = region
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reader.initialize()
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set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
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SENSORS.append(reader)
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image = ImageReader()
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image.region_index = index
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image.region = region
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image.initialize()
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set_device_alias(image, reader.region_name + "/ScientaImage")
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SENSORS.append(image)
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SENSORS.append(SampleCurrent)
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SENSORS.append(RefCurrent)
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adjust_sensors()
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set_adc_averaging()
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#ascan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, zigzag = True, before_read=wait_beam, after_read = after_readout)
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#lscan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, before_read=wait_beam, after_read = after_readout)
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vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
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for (index, region) in enumerate(regions):
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set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
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set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
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set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
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try:
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setup_live_plots(REGIONS)
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task = fork(update_live_plots)
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do_scan(MOTORS, POSITIONS, REGIONS, LATENCY)
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finally:
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if CLOSE_SHUTTER_AT_END:
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after_scan()
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