74 lines
2.3 KiB
Python
Executable File
74 lines
2.3 KiB
Python
Executable File
###############################################################################
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#Scan the PSSS crystal height
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#Purpose:
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#The PSSS signal level is very sensitive to the crystal height. This script will scan the height and set the position to the maximum signal
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if get_exec_pars().source == CommandSource.ui:
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#User inputs - define travel range of camera
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RANGE_FROM = -0.8
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RANGE_TO = -1.7
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STEPS = 10 #20
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NUM_SHOTS= 10 # 100
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PLOT=None
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# get current camera ROIs and then set to max for scan
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roi_min = psss_roi_min.read()
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roi_max = psss_roi_max.read()
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psss_roi_min.write(1)
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psss_roi_max.write(2000)
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p = plot(None, title="Data")[0] if (PLOT is None) else PLOT
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p.clear()
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p.removeMarker(None)
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p.setLegendVisible(True)
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p.addSeries(LinePlotSeries("PSSS Spectrum Average"))
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run("cpython/wrapper")
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#Setup and functions setup¶
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#if not is_dry_run(): # C.arrell commented out 20.01.21
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xstal_height=Channel("SARFE10-PSSS059:MOTOR_Y3.VAL", name="xstal_height")
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#else:
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# xstal_height=DummyRegister("xstal_height")
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av = create_averager(psss_spectrum_y, NUM_SHOTS, interval=-1, name="spectrum_average")
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av_samples = av.samples
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av_samples.alias = "spectrum_samples"
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#Scan and take data
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def after_read(record, scan):
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p.getSeries(0).setData(psss_spectrum_x.take(), record[av])
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p.setTitle("Xtal Height = %1.3f" %(record[xstal_height]))
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r = lscan(xstal_height, (av, av_samples), RANGE_FROM, RANGE_TO, STEPS, latency=2.0, after_read = after_read, save=False)
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#User inputs - define travel range of crystal
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#It is unlikely these values need to be changed
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average, samples, xstal_range = r.getReadable(0), r.getReadable(1), r.getPositions(0)
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#return maxium position
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[amp, mean_val, sigma, offset], projection = fit_crystal_height(RANGE_FROM, RANGE_TO, STEPS+1, samples)
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print(mean_val)
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if not (RANGE_FROM < mean_val < RANGE_TO or RANGE_TO < mean_val < RANGE_FROM):
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raise Exception ("Invalid fit mean: " + str(mean_val))
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#Set max position
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#Cell below will push the maximum position to the xstal height
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xstal_height.write(mean_val)
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xstal_height.close()
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# return ROI to inital value
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psss_roi_min.write(roi_min)
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psss_roi_max.write(roi_max)
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#Plots
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p.clear()
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p.setTitle("")
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plot_gauss_fit(xstal_range, projection, gauss_pars=(offset, amp, mean_val, sigma), p=p, title = "Data")
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set_return(mean_val)
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