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123 lines
4.1 KiB
Python
123 lines
4.1 KiB
Python
import numpy as np
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from artiq import *
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# data is usually precomputed offline
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transport_data = dict(
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t=np.linspace(0, 10, 101), # waveform time
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u=np.random.randn(101, 4*3*3), # waveform data,
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# 4 devices, 3 board each, 3 dacs each
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)
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class Transport(AutoContext):
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bd = Device("dds")
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bdd = Device("dds")
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pmt = Device("ttl_in")
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electrodes = Device("pdq")
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repeats = Parameter(100)
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nbins = Parameter(100)
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wait_at_stop = Parameter(100*us)
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speed = Parameter(1.5)
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def prepare(self, stop):
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t = transport_data["t"][:stop]*self.speed
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u = transport_data["u"][:stop]
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# start a new frame
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self.tf = self.electrodes.create_frame()
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# interpolates t and u and appends the (t, u) segment to the frame
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# adds wait-for-trigger to the first line/spline knot
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# will also apply offset and gain calibration data
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# stores duration and the fact that this segment needs to be triggered
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# both (duration and segment triggering flag) to be retrieved during
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# kernel compilation, see transport()
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self.tf.append(t, u, trigger=True,
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name="to_stop")
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# append the reverse transport (from stop to 0)
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# both durations are the same in this case
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self.tf.append(t[-1] - t[::-1], u[::-1], trigger=True,
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name="from_stop")
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# closes the frame with a wait line before jumping back into
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# the jump table so that frame signal can be set before the jump
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# also mark the frame as closed and prevent further append()ing
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self.tf.close()
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# user must pass all frames that are going to be used next
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# selects possible frame id based on rtio_frame assignments
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# from core device
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# distributes frames to the sub-devices in CompoundPDQ2
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# and uploads them
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# uploading is ARM_DIS, writing, ARM_EN
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self.electrodes.prepare(self.tf)
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@kernel
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def cool(self):
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with parallel:
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self.bd.pulse(200*MHz, 1*ms)
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self.bdd.pulse(300*MHz, 1*ms)
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self.bd.pulse(210*MHz, 100*us)
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@kernel
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def transport(self):
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# ensures no frame is currently being actively played
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# set rtio frame select signal to frame id
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# rtio trigger jump into transport frame
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# (does not advance the timeline)
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self.tf.begin()
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# triggers pdqs to start transport frame segment
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# plays the transport waveform from 0 to stop
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# delay()s the core by the duration of the waveform segment
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self.tf.to_stop.advance()
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# leaves the ion in the dark at the transport endpoint
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delay(self.wait_at_stop)
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# transport back (again: trigger, delay())
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# segments can only be advance()ed in order
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self.tf.from_stop.advance()
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# ensures all segments have been advanced() through, must leave pdq
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# in a state where the next frame can begin()
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self.tf.finish()
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@kernel
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def detect(self):
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with parallel:
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self.bd.pulse(220*MHz, 100*us)
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self.pmt.gate_rising(100*us)
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self.bd.on(200*MHz)
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self.bdd.on(300*MHz)
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return self.pmt.count()
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@kernel
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def one(self):
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self.cool()
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self.transport()
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return self.detect()
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@kernel
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def repeat(self):
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hist = [0 for _ in range(self.nbins)]
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for i in range(self.repeats):
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n = self.one()
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if n >= self.nbins:
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n = self.nbins-1
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hist[n] += 1
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for i in range(self.nbins):
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self.histogram.append(hist[i])
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def scan(self, stops):
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for s in stops:
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self.histogram = []
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# non-kernel, calculate waveforms, build frames
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# could also be rpc'ed from repeat()
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self.prepare(s)
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# kernel part
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self.repeat()
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# live update 2d plot with current self.histogram
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# broadcast(s, self.histogram)
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def run(self):
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# scan transport endpoint
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stops = range(10, len(transport_data["t"]), 10)
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self.scan(stops)
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