32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
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A1 = ChannelDouble("K value", "SARUN15-UIND030:K_SET")
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S1 = ChannelDouble("Energy per pulse (uJ)", "SARFE10-PBPG050:PHOTON-ENERGY-PER-PULSE-US")
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A1.initialize()
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S1.initialize()
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A1_init = A1.read()
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A1i = A1_init - 0.005
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A1f = A1_init + 0.005
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nstep = 21
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lat = 1.0
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nav = 5
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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 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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A1.write(A1i)
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time.sleep(30.0)
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r = lscan(A1, (S1_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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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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