ZH: remove beacon from traces before reconstruction

This commit is contained in:
Eric Teunis de Boone 2023-01-20 12:27:50 +01:00
parent 9e29b8d893
commit 3904925203

View file

@ -39,10 +39,13 @@ if __name__ == "__main__":
fig_subdir = path.join(fig_dir, 'reconstruction')
show_plots = args.show_plots
remove_beacon_from_traces = True
####
fname_dir = path.dirname(fname)
antennas_fname = path.join(fname_dir, beacon.antennas_fname)
pickle_fname = path.join(fname_dir, 'res.pkl')
tx_fname = path.join(fname_dir, beacon.tx_fname)
# create fig_dir
if fig_dir:
@ -52,6 +55,7 @@ if __name__ == "__main__":
# Read in antennas from file
_, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
_, __, txdata = beacon.read_tx_file(tx_fname)
# Read original REvent
ev = REvent(fname)
# .. patch in our antennas
@ -66,11 +70,32 @@ if __name__ == "__main__":
f_beacon = ev.antennas[0].beacon_info[freq_name]['freq']
# Repair clock offsets with the measured offsets
measured_repair_offsets = beacon.read_antenna_clock_repair_offsets(ev.antennas, mode='all', freq_name=freq_name)
measured_repair_offsets = beacon.read_antenna_clock_repair_offsets(ev.antennas, mode='phases', freq_name=freq_name)
for i, ant in enumerate(ev.antennas):
# t_AxB will be set by the rit.set_pol_and_bp function
ev.antennas[i].t += measured_repair_offsets[i]
# .. and remove the beacon from the traces
if remove_beacon_from_traces:
clock_phase = measured_repair_offsets[i]*2*np.pi*f_beacon
beacon_phase = ant.beacon_info[freq_name]['beacon_phase']
f = ant.beacon_info[freq_name]['freq']
ampl_AxB = ant.beacon_info[freq_name]['amplitude']
calc_beacon = lib.sine_beacon(f, ev.antennas[i].t, amplitude=ampl_AxB, phase=beacon_phase-clock_phase)
tx_amps = txdata['amplitudes']
tx_amps_sum = np.sum(tx_amps)
# Split up contribution to the various polarisations
for j, amp in enumerate(tx_amps):
if j == 0:
ev.antennas[i].Ex -= amp*(1/tx_amps_sum)*calc_beacon
elif j == 1:
ev.antennas[i].Ey -= amp*(1/tx_amps_sum)*calc_beacon
elif j == 2:
ev.antennas[i].Ez -= amp*(1/tx_amps_sum)*calc_beacon
N_X, Xlow, Xhigh = 23, 100, 1200
with joblib.parallel_backend("loky"):
res = rit.reconstruction(ev, outfile=fig_subdir+'/fig.pdf', slice_outdir=fig_subdir+'/', Xlow=Xlow, N_X=N_X, Xhigh=Xhigh)