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ZH: include trace windowing for power on grid script
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496ed103da
commit
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2 changed files with 79 additions and 9 deletions
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@ -29,7 +29,7 @@ def read_antenna_clock_repair_offsets(antennas, mode='all', freq_name=None):
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# original timing
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if mode == 'orig':
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_clock_delta = ant.attrs['clock_offset']
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_clock_delta = -1*ant.attrs['clock_offset']
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# phase
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if mode in ['all', 'phases']:
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@ -50,11 +50,13 @@ if __name__ == "__main__":
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show_plots = args.show_plots
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remove_beacon_from_traces = True
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apply_signal_window_from_max = True
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####
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fname_dir = path.dirname(fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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pickle_fname = path.join(fname_dir, 'res.pkl')
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tx_fname = path.join(fname_dir, beacon.tx_fname)
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# create fig_dir
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if fig_dir:
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@ -62,13 +64,13 @@ if __name__ == "__main__":
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# Read in antennas from file
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_, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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_, __, txdata = beacon.read_tx_file(tx_fname)
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# Read original REvent
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ev = REvent(fname)
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bak_ants = ev.antennas
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# .. patch in our antennas
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ev.antennas = antennas
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rit.set_pol_and_bp(ev)
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##
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## Setup grid
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##
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@ -86,10 +88,6 @@ if __name__ == "__main__":
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'scale02d': scale02d,
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}
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# backup antenna times
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backup_antenna_t = [ ant.t for ant in ev.antennas ]
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backup_antenna_t_AxB = [ ant.t_AxB for ant in ev.antennas ]
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plot_titling = {
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'no_offset': "no clock offset",
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'repair_none': "unrepaired clock offset",
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@ -108,16 +106,56 @@ if __name__ == "__main__":
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#
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# We need to remove it here, so we do not shoot ourselves in
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# the foot when changing to the various clock offsets.
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#
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# Note that the bandpass filter is applied only after E_AxB is
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# reconstructed so we have to manipulate the original traces.
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if remove_beacon_from_traces:
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tx_amps = txdata['amplitudes']
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tx_amps_sum = np.sum(tx_amps)
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for i, ant in enumerate(ev.antennas):
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beacon_phase = ant.beacon_info[freq_name]['beacon_phase']
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f = ant.beacon_info[freq_name]['freq']
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ampl_AxB = ant.beacon_info[freq_name]['amplitude']
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calc_beacon = lib.sine_beacon(f, ev.antennas[i].t, amplitude=ampl_AxB, phase=beacon_phase)
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# Only need to manipulate E_AxB
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# Split up contribution to the various polarisations
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for j, amp in enumerate(tx_amps):
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if j == 0:
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ev.antennas[i].Ex -= amp*(1/tx_amps_sum)*calc_beacon
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elif j == 1:
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ev.antennas[i].Ey -= amp*(1/tx_amps_sum)*calc_beacon
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elif j == 2:
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ev.antennas[i].Ez -= amp*(1/tx_amps_sum)*calc_beacon
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#
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ev.antennas[i].E_AxB -= calc_beacon
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# Slice the traces to a small part around the peak
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if apply_signal_window_from_max:
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N_pre, N_post = 250, 250
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for i, ant in enumerate(ev.antennas):
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max_idx = np.argmax(ant.E_AxB)
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low_idx = max(0, max_idx-N_pre)
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high_idx = min(len(ant.t), max_idx+N_post)
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ev.antennas[i].t = ant.t[low_idx:high_idx]
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ev.antennas[i].t_AxB = ant.t_AxB[low_idx:high_idx]
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ev.antennas[i].Ex = ant.Ex[low_idx:high_idx]
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ev.antennas[i].Ey = ant.Ey[low_idx:high_idx]
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ev.antennas[i].Ez = ant.Ez[low_idx:high_idx]
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ev.antennas[i].E_AxB = ant.E_AxB[low_idx:high_idx]
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# backup antenna times
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backup_antenna_t = [ ant.t for ant in ev.antennas ]
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backup_antenna_t_AxB = [ ant.t_AxB for ant in ev.antennas ]
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## Apply polarisation and bandpass filter
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rit.set_pol_and_bp(ev)
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with joblib.parallel_backend("loky"):
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for case in wanted_cases:
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print(f"Starting {case} figure")
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@ -133,9 +171,41 @@ if __name__ == "__main__":
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for i, ant in enumerate(ev.antennas):
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total_clock_offset = measured_offsets[i]
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#ev.antennas[i].t = backup_antenna_t[i] + total_clock_offset
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ev.antennas[i].t = backup_antenna_t[i] + total_clock_offset
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ev.antennas[i].t_AxB = backup_antenna_t_AxB[i] + total_clock_offset
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if i == 0:
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# Specifically compare the times
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print(bak_ants[i].t[0], ev.antennas[i].t[0], ev.antennas[i].t[0], ev.antennas[i].attrs['clock_offset'], measured_offsets[i])
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#
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# Plot overlapping traces at 0,0,0
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#
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if True:
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P, t_, a_, a_sum, t_sum = rit.pow_and_time([0,0,0], ev, dt=1)
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fig, axs = plt.subplots()
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axs.set_title("Antenna traces" + "\n" + plot_titling[case])
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axs.set_xlabel("Time [ns]")
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axs.set_ylabel("Amplitude [$\\mu V/m$]")
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a_max = [ np.amax(ant.E_AxB) for ant in ev.antennas ]
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power_sort_idx = np.argsort(a_max)
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N_plot = 30
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for i, idx in enumerate(power_sort_idx):
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if i > N_plot:
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break
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alpha = max(0.7, 1/len(a_))
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axs.plot(t_[idx], a_[idx], color='r', alpha=alpha)
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if fig_dir:
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fig.tight_layout()
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.trace_overlap.{case}.pdf'))
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.trace_overlap.{case}.png'), transparent=True)
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# Measure power on grid
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for scalename, scale in scales.items():
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wx, wy = scale, scale
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