44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
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import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
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A1 = ChannelDouble("Gap", "SARUN03-UPHS060:GAP")
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A1 = ChannelDouble("Gap", "SARUN03-UPHS060:GAP")
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S1 = ChannelDouble("energy per pulse", "SARFE10-PBPG050:PHOTON-ENERGY-PER-PULSE-US")
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S2 = ChannelDouble("HAMP", "SARFE10-PBPG050:HAMP-INTENSITY-CAL")
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A1.initialize()
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S1.initialize()
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S2.initialize()
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A1_init = A1.read()
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A1i = -0.5
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A1f = 1.5
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nstep = 20
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lat = 0.11
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nav = 50
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plt = plot(None, title="Output")[0]
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plt.clear()
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plt.setStyle(plt.Style.ErrorY)
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plt.addSeries(LinePlotErrorSeries("Sensor1", Color.red))
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def before(position, scan):
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caput(GAP + ":GO", 1)
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start = time.time()
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while abs(readout.read() - GAP.read()) > TOLERANCE:
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time.sleep(0.1)
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if time.time() - start > TIMEOUT:
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raise Exception ("Timeout waiting gap change")
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def after_sample(record, scan):
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plt.getSeries(0).appendData(record.positions[0], record.values[0].mean, record.values[0].stdev)
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try:
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S1_averager = create_averager(S1, nav, lat)
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S2_averager = create_averager(S2, nav, lat)
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S2_averager.monitored=True
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time.sleep(10.0)
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r = lscan(A1, (S1_averager, S2_averager), A1i, A1f, nstep, latency=5.0, after_read = after_sample)
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Act1 = r.getPositions(0)
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S1mean = [val.mean for val in r.getReadable(0)]
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S1rms = [val.stdev for val in r.getReadable(0)]
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S2mean = [val.mean for val in r.getReadable(1)]
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S2rmsn = [val.stdev for val in r.getReadable(1)]
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finally:
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A1.write(A1_init)
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A1.close()
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S1.close()
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S2.close() |