49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
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A1 = ChannelDouble("MK energy", "S20SY02-MK:ENERGY-SP")
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S1 = ChannelDouble("", "S20SY02-DBPM150:Y1")
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S2 = ChannelDouble("", "SATSY01-DBPM010:Y1")
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S3 = ChannelDouble("", "SATSY01-DBPM010:Q1")
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S4 = ChannelDouble("", "S20SY02-DBPM120:Y1")
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A1.initialize()
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S1.initialize()
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S2.initialize()
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S3.initialize()
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S24.initialize()
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A1_init = A1.read()
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A1i = 1300.0
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A1f = 3300.0
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step = 100.0
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lat = 0.1
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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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S2_averager = create_averager(S2, nav, lat)
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S2_averager.monitored=True
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S3_averager = create_averager(S3, nav, lat)
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S3_averager.monitored=True
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S4_averager = create_averager(S4, nav, lat)
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S4_averager.monitored=True
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time.sleep(1.0)
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r = lscan(A1, (S1_averager, S2_averager, S3_averager, S4_averager), A1i, A1f, step, latency=0.5, 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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S3mean = [val.mean for val in r.getReadable(2)]
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S3rmsn = [val.stdev for val in r.getReadable(2)]
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S4mean = [val.mean for val in r.getReadable(3)]
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S4rmsn = [val.stdev for val in r.getReadable(3)]
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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()
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S3.close()
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S4.close() |