96 lines
2.8 KiB
Python
96 lines
2.8 KiB
Python
"""
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Arguments:
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"""
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#MOTORS = [Eph]
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#POSITIONS = [295.0, 296.0]
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MOTORS = [Eph]
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POSITIONS = [400.0, 401.0]
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LATENCY = 0.0
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REGION1 = {'elo': 243.0, 'ehi': 245.0, 'estep': 0.1, 'epass': 50, 'tstep': 0.1, 'iter': 1, 'cis': True}
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REGION2 = {'elo': 214.0, 'ehi': 217.0, 'estep': 0.1, 'epass': 50, 'tstep': 0.1, 'iter': 1, 'cis': False}
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REGIONS = [REGION1, REGION2]
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CLOSE_SHUTTER_AT_END = True
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Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
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class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
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def setup(self):
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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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Scienta.lowEnergy.write(self.region['elo'] + edelta)
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Scienta.highEnergy.write(self.region['ehi'] + edelta)
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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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def read(self):
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self.setup()
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print "Photon energy {ephot} eV. Acquiring spectrum {elo}-{ehi} eV".format(ephot=Eph.read(), elo=Scienta.lowEnergy.value, ehi=Scienta.highEnergy.value)
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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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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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return Scienta.getDataMatrix().read()
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def getWidth(self):
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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 do_scan(motors, positions, regions, latency):
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sensors = [SampleCurrent, RefCurrent]
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for (index, region) in enumerate(regions):
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reader = SpectrumReader()
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reader.initialize()
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reader.index = index
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reader.region = region
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set_device_alias(reader, "ScientaSpectrum{0}".format(index + 1))
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sensors.append(reader)
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image = ImageReader()
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image.initialize()
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image.index = index
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image.region = region
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set_device_alias(image, "ScientaImage{0}".format(index + 1))
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sensors.append(image)
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adjust_sensors()
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set_adc_averaging()
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vscan(motors, sensors, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
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try:
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set_preference(Preference.PLOT_TYPES, {'Scienta spectrum':1})
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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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