57 lines
2.2 KiB
Python
Executable File
57 lines
2.2 KiB
Python
Executable File
import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
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A1 = ChannelDouble("BPM-X", "S10MA01-DBPM060:X-REF-FB ")
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S1 = ChannelDouble("LLM1", "S10CB09-DLLM110:CH7_LOSS-MPS_REL_L1")
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S2 = ChannelDouble("LLM2", "S10CB09-DLLM110:CH8_LOSS-MPS_REL_L1")
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S3 = ChannelDouble("BLM", "S20CB02-DBLM435:B1_LOSS_MPS_REL_L1")
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S4 = ChannelDouble("DRPS", "SGE-EDRPS01-DU0601:DOSE-REL-OP")
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S5 = ChannelDouble("CDR", "S10MA01-DCDR080:AL1-B1")
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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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S4.initialize()
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S5.initialize()
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A1_init = A1.read()
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A1i = -1.0
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A1f = 1.0
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step = 21
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lat = 0.11
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nav = 10
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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.readables[0].mean, record.readables[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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S5_averager = create_averager(S5, nav, lat)
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S5_averager.monitored=True
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A1.write(A1i)
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time.sleep(1.0)
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r = lscan(A1, (S1_averager, S2_averager, S3_averager, S4_averager, S5_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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S2rms = [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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S3rms = [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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S4rms = [val.stdev for val in r.getReadable(3)]
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S5mean = [val.mean for val in r.getReadable(4)]
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S5rms = [val.stdev for val in r.getReadable(4)]
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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()
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S5.close() |