50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
#import ch.psi.pshell.epics.ChannelDouble as ChannelDouble
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import ch.psi.pshell.bs.Scalar as Scalar
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import ch.psi.pshell.epics.DiscretePositioner as DiscretePositioner
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#Arguments
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SAMPLES = 5
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BLMS = ["SINDI02-DBLM025"]
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RANGE = [0.5, 1.1]
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STEP_SIZE = 0.10
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SETTLING_TIME = 0.1
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SIMULATION = True
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do_elog = True
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pos = DummyPositioner("gain")
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#Channel-based
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#blm1 = ChannelDouble("blm1", "SINDI02-DBLM025:B1_LOSS"); blm1.setMonitored(True); blm1.initialize()
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#blm2 = ChannelDouble("blm2", "SINDI02-DBLM085:B1_LOSS"); blm2.setMonitored(True); blm2.initialize()
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#Stream creation
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sensors = []
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line_plots = []
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st = Stream("pulse_id", dispatcher)
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for i in range(len(BLMS)):
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blm = Scalar("blm" + str(i+1), st, BLMS[i] + ":B1_LOSS", 10, 0)
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av = create_averager(blm, SAMPLES, interval = -1)
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av.setMonitored(i>0)
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sensors.append(av)
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sensors.append(av.stdev)
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sensors.append(av.samples)
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line_plots.append(av.samples)
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st.initialize()
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st.start()
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st.waitCacheChange(10000) #Wait stream be running before starting scan
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#Metadata
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set_exec_pars(persist = False)
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try:
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r=lscan(pos, sensors, RANGE[0], RANGE[1],STEP_SIZE, latency = SETTLING_TIME)
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r=bscan(st, 10)
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mscan(st, sensors, 10, -1)
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finally:
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st.close()
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