ZH: script saving k_period to file

This commit is contained in:
Eric Teunis de Boone 2022-11-23 17:00:44 +01:00
parent b806defcbb
commit 0ffdee4496

View file

@ -15,6 +15,9 @@ if __name__ == "__main__":
fname = "ZH_airshower/mysim.sry" fname = "ZH_airshower/mysim.sry"
show_plots = True
ref_ant_id = None # leave None for all baselines
#### ####
fname_dir = path.dirname(fname) fname_dir = path.dirname(fname)
antennas_fname = path.join(fname_dir, beacon.antennas_fname) antennas_fname = path.join(fname_dir, beacon.antennas_fname)
@ -23,11 +26,12 @@ if __name__ == "__main__":
f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname) f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
# run over all baselines # run over all baselines
if True: if ref_ant_id is None:
print("Doing all baselines")
baselines = list(combinations(antennas,2)) baselines = list(combinations(antennas,2))
# use ref_ant # use ref_ant
else: else:
ref_ant = antennas[0] ref_ant = antennas[ref_ant_idx]
baselines = list(zip_longest([], antennas, fillvalue=ref_ant)) baselines = list(zip_longest([], antennas, fillvalue=ref_ant))
freq_names = antennas[0].beacon_info.keys() freq_names = antennas[0].beacon_info.keys()
@ -36,22 +40,21 @@ if __name__ == "__main__":
freq_name = next(iter(freq_names)) freq_name = next(iter(freq_names))
# Determine integer multiple of periods to shift # Determine integer multiple of periods to shift
integer_periods = np.empty( (len(baselines), 3) ) # and True phase differences
time_diffs = np.empty( (len(baselines), 3) )
for i, base in enumerate(baselines): for i, base in enumerate(baselines):
# which traces to keep track of # which traces to keep track of
traces = [ base[0].E_AxB, base[1].E_AxB ] traces = [ base[0].E_AxB, base[1].E_AxB ]
# how many samples do we need to shift
sampling_dt = (base[1].t[1] - base[1].t[0]) # ns sampling_dt = (base[1].t[1] - base[1].t[0]) # ns
# how many samples do we need to shift
ks, maxima = lib.coherence_sum_maxima(traces[0], traces[1]) ks, maxima = lib.coherence_sum_maxima(traces[0], traces[1])
max_idx = np.argmax(maxima) max_idx = np.argmax(maxima)
best_k = ks[max_idx] best_k = ks[max_idx]
delta_t_coherence = sampling_dt*best_k # ns delta_t_coherence = sampling_dt*best_k # ns
print("K", best_k, sampling_dt, '=', delta_t_coherence) print('A1:', base[0].name, 'A2:', base[1].name, "K:", best_k, '= [ns]', delta_t_coherence)
# get the amount of periods to move # get the amount of periods to move
f_beacon = base[0].beacon_info[freq_name]['freq'] f_beacon = base[0].beacon_info[freq_name]['freq']
@ -61,14 +64,24 @@ if __name__ == "__main__":
if rest < 0: if rest < 0:
k_period -= 1 k_period -= 1
# save k_period with antenna names # Get true phase diffs
integer_periods[i] = [int(base[0].name), int(base[1].name), k_period] try:
true_phases = np.array([ant.beacon_info[freq_name]['true_phase'] for ant in base])
true_phases_diff = lib.phase_mod(true_phases[0] - true_phases[1])
except IndexError:
# freq_name not in beacon_info
# or true_phase not determined yet
true_phases_diff = np.nan
if i in [ 98, 99 ]: # save k_period with antenna names
time_diffs[i] = [true_phases_diff, k_period, f_beacon]
# Plotting for one or two iterations
if show_plots and i in [ 0, 1 ]:
print('i',i,'k[T]',k_period, 'rest[ns]',rest, 'T[ns]',1/f_beacon) print('i',i,'k[T]',k_period, 'rest[ns]',rest, 'T[ns]',1/f_beacon)
# Show correlation maxima plot # Show correlation maxima plot
if True: if not True:
fig, ax = plt.subplots() fig, ax = plt.subplots()
ax.set_title(f"Correlation Maxima {i}") ax.set_title(f"Correlation Maxima {i}")
ax.set_xlabel("k") ax.set_xlabel("k")
@ -80,18 +93,11 @@ if __name__ == "__main__":
delta_t_antennas = base[0].t[0] - base[1].t[0] delta_t_antennas = base[0].t[0] - base[1].t[0]
# Delta t due to the beacon # Delta t due to the beacon
try: if true_phases_diff is np.nan:
true_phases = np.array([ant.beacon_info[freq_name]['true_phase'] for ant in base]) true_phases_diff = 0
delta_true_phases = lib.phase_mod(true_phases[0] - true_phases[1]) delta_t_beacon = true_phases_diff/(2*np.pi*f_beacon)
delta_t_beacon = delta_true_phases/(2*np.pi*f_beacon)
except e:
# freq_name not found
# simply continue and set it them 0
print("No beacon")
delta_true_phases = 0
delta_t_beacon = 0
print("t0[ns]", delta_t_antennas, "t_beacon[ns]", delta_t_beacon, "phase", delta_true_phases) print("t0[ns]", delta_t_antennas, "t_beacon[ns]", delta_t_beacon, "phase", true_phases_diff)
fig, ax = plt.subplots() fig, ax = plt.subplots()
ax.set_xlabel('t') ax.set_xlabel('t')
ax.plot(base[0].t, traces[0], label=f'Reference {base[0].name}', alpha=0.5) ax.plot(base[0].t, traces[0], label=f'Reference {base[0].name}', alpha=0.5)
@ -108,13 +114,8 @@ if __name__ == "__main__":
ax.legend() ax.legend()
# Save integer periods to antennas # Save integer periods to antennas
with h5py.File(antennas_fname, 'a') as fp: beacon.write_baseline_time_diffs_hdf5(antennas_fname, baselines, time_diffs[:,0], time_diffs[:,1], time_diffs[:,2])
group_name = 'beacon_ks'
if group_name in fp:
del fp[group_name]
fp.create_dataset(group_name, data=integer_periods)
plt.show()
# Report back to CLI # Report back to CLI
print("Period Multiples resolved in", antennas_fname) print("Period Multiples resolved and written to ", antennas_fname)
plt.show()