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Fig: WR clocks and PPS
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figures/white-rabbit/src/wr-clocks.py
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figures/white-rabbit/src/wr-clocks.py
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#!/usr/bin/env python3
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__doc__ = \
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"""Generate some figures showing the alignment of clocks
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in a White Rabbit system with GrandMaster setup.
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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import scipy.signal as sig
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rng = np.random.default_rng(12345)
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### Functions
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def pps(t, t_start, width=0.5):
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"""
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Generate a PPS with width $width$ and starting at $t_start.
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"""
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return (t > t_start) & (t < t_start + width)
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def detect_rising_edges(threshold, data):
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"""
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Detect rising edges in data.
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https://stackoverflow.com/a/50365462
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"""
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return np.flatnonzero((data[:-1] < threshold) & (data[1:] > threshold))+1
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def first_shared_edge(x1, x2, threshold=0.3):
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try:
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length = len(x2)
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except TypeError:
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length = 1
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x1_edges = detect_rising_edges(threshold, x1)
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if length > 1:
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x2_edges = detect_rising_edges(threshold, x2)
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else:
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x2_edges = x2
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start_edge = x1_edges[x1_edges > x2_edges][0]
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return start_edge
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def aligned_pps(t, clock_in, pps_in, width=None):
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t_start = t[first_shared_edge(clock_in, pps_in)]
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if width is not None:
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return pps(t, t_start, width)
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else:
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return pps(t, t_start)
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## Main
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def main(time_base = 10e-9):
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"""
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Generate a figure showing the required GrandMaster inputs
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with an aligned PPS out and DIO clock,
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and a random input event and its timestamp.
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"""
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clock_freq = 10e6 # Hz
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dio_freq = 12.5*clock_freq # Hz
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pps_in_early = -1.7/clock_freq #s
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pps_in_width = 10e1/clock_freq #s
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pps_out_width = 10e1/clock_freq #s
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t = np.linspace(-2.25*1/clock_freq, 0.8*1/clock_freq, 5000) #
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random_event_idx = rng.integers(len(t)*2/3, len(t)) # Somewhere within the time space
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random_event = t[random_event_idx]
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## Create Grandmaster input signals
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clock_in = (sig.square(2*np.pi*clock_freq*t)+1)/2
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pps_in = pps(t, pps_in_early, pps_in_width)
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## Determine output signal
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clock_alignment = t[first_shared_edge(clock_in, pps_in)]
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pps_out = aligned_pps(t, clock_in, pps_in, width=pps_out_width)
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dio = (sig.square(2*np.pi*dio_freq*(t - clock_alignment))+1)/2
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## Random event timestamp
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timestamped_event = t[first_shared_edge(dio, random_event_idx)]
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# Create the figure
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fig, axs = plt.subplots(4,1, sharex=True, gridspec_kw={'hspace': 0}, figsize=(16,4))
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## Plot signals
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i=0
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axs[i].set_ylabel("$\mathrm{PPS}_\mathrm{in}$", rotation='horizontal', ha='right', va='center')
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axs[i].plot(t, pps_in, 'purple', label="PPS in")
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i+=1
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axs[i].set_ylabel("GM Clock\n($10\,\mathrm{MHz}$)", rotation='horizontal', ha='right', va='center')
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axs[i].plot(t, clock_in, label='10MHz in')
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i+=1
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axs[i].set_ylabel("FMC DIO\n($125\,MHz$)", rotation='horizontal', ha='right', va='center')
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axs[i].plot(t, dio, 'y', label='DIO')
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axs[i].plot(random_event, 0.5, 'r*')
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axs[i].axvline(timestamped_event, color='b')
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i+=1
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axs[i].set_ylabel("$\mathrm{PPS}_\mathrm{out}$", rotation='horizontal', ha='right', va='center')
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axs[i].plot(t, pps_out, 'g', label="PPS out")
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## Styling
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for ax in axs:
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ax.axvline(clock_alignment, color='r', linestyle='--')
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ax.set_ylim(-0.2, 1.2)
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ax.set_yticks([])
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ax.set_yticklabels([])
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ax.grid()
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if time_base == 10e-9:
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axs[-1].set_xlabel("Time (ns)")
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ticks = axs[-1].get_xticks()/time_base
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axs[-1].set_xticklabels(np.floor(ticks))
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else:
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axs[-1].set_xlabel("Time (s)")
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return fig, (clock_alignment, random_event, timestamped_event)
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if __name__ == "__main__":
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from argparse import ArgumentParser
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import os.path as path
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parser = ArgumentParser(description=__doc__)
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parser.add_argument("fname", metavar="path/to/figure[/]", nargs="?", help="Location for generated figure, will append __file__ if a directory. If not supplied, figure is shown.")
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args = parser.parse_args()
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if args.fname is not None and path.isdir(args.fname):
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args.fname = path.join(args.fname, path.splitext(path.basename(__file__))[0] + ".pdf")
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###
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fig, _ = main()
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if args.fname is not None:
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plt.savefig(args.fname)
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else:
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plt.show()
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