90 lines
2.4 KiB
Python
90 lines
2.4 KiB
Python
#If running from editor
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if get_exec_pars().source == CommandSource.ui:
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ID = "ID1"
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SWITCHING = "Normal"
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POL_ID_1 = "Circ_Plus"
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ALPHA_ID_1 = 0.0
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HARMONIC_ID_1 = 1
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OFFSET_ID_1 = 0.0
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POL_ID_2 = "Circ_Minus"
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ALPHA_ID_2 = 0.0
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HARMONIC_ID_2 = 1
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OFFSET_ID_2 = 0.0
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ROI = {"Region1": [10,5,20, 10], "Region2": [20,15,20, 10]}
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SAVE_SPECTRUM = True
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SAVE_IMAGES = False
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WITH_I0 = True
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SWITCH_POL = False
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EXPOSURE = 1.0
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AVERAGE = 2
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NUMBER_SCANS =1
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RANGES = [[500.0, 1000.0, 100.0]]
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DRY_RUN=True
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if len(RANGES) == 0:
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raise Exception("No scan range defined")
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eiger.setExposure(EXPOSURE)
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set_exec_pars(path="{data}/{year}_{month}/{date}/AbsortionSpectrum_{seq}%03d", format="csv", layout="table")
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tag= "AbsortionSpectrum_{seq}%03d"
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rois = create_roi_devices(ROI)
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if AVERAGE>1:
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for i in range(len(rois)):
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rois[i].monitored = True
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rois[i] = create_averager(rois[i], AVERAGE, -1)
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rois[i].monitored = True
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frames=[]
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class SyncEnergy(Writable):
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def write(self,pos):
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if not DRY_RUN:
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put_energy(pos)
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else:
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print "Energy=" + str(pos)
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sync_energy=SyncEnergy()
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set_device_alias(sync_energy, "Energy") #Set display name
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sensors = rois + [machine_cur]
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if WITH_I0:
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sensors = rois + [keithley_1a]
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av=None
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def grab_image(position, scan):
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global av
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frames = grab_frames(image, AVERAGE, roi=None, wait_next=True)
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av = average_frames(frames)
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if SAVE_IMAGES:
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filename = get_exec_pars().path + "/" + ("%05d.tif" % scan.recordIndex)
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print filename
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save_as_tiff(av, filename)
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class Average(ReadableMatrix):
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def read(self):
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return av.matrix
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def getWidth(self):
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return eiger.dataMatrix.getWidth()
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def getHeight(self):
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return eiger.dataMatrix.getHeight()
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averager=Average()
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set_device_alias(averager, "Image") #Set display name
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sensors.append(averager) #sensors.append(eiger.getDataMatrix())
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try:
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#tscan(rois, 10, 0.1, format="csv", before_read=grab_image, passes = NUMBER_SCANS, tag=tag)
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rscan(sync_energy, sensors, RANGES, latency = 0.0 , passes = NUMBER_SCANS, tag=tag, before_read=grab_image, save=SAVE_SPECTRUM)
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finally:
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if AVERAGE>1:
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for i in range(len(rois)):
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rois[i].parent.monitored = False # Remove listeners on the image
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