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https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-12-22 11:33:32 +01:00
ZH: script saving k_period to file
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parent
b806defcbb
commit
0ffdee4496
1 changed files with 31 additions and 30 deletions
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@ -15,6 +15,9 @@ if __name__ == "__main__":
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fname = "ZH_airshower/mysim.sry"
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fname = "ZH_airshower/mysim.sry"
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show_plots = True
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ref_ant_id = None # leave None for all baselines
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####
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####
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fname_dir = path.dirname(fname)
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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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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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@ -23,11 +26,12 @@ if __name__ == "__main__":
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f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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# run over all baselines
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# run over all baselines
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if True:
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if ref_ant_id is None:
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print("Doing all baselines")
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baselines = list(combinations(antennas,2))
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baselines = list(combinations(antennas,2))
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# use ref_ant
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# use ref_ant
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else:
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else:
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ref_ant = antennas[0]
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ref_ant = antennas[ref_ant_idx]
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baselines = list(zip_longest([], antennas, fillvalue=ref_ant))
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baselines = list(zip_longest([], antennas, fillvalue=ref_ant))
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freq_names = antennas[0].beacon_info.keys()
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freq_names = antennas[0].beacon_info.keys()
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@ -36,22 +40,21 @@ if __name__ == "__main__":
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freq_name = next(iter(freq_names))
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freq_name = next(iter(freq_names))
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# Determine integer multiple of periods to shift
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# Determine integer multiple of periods to shift
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integer_periods = np.empty( (len(baselines), 3) )
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# and True phase differences
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time_diffs = np.empty( (len(baselines), 3) )
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for i, base in enumerate(baselines):
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for i, base in enumerate(baselines):
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# which traces to keep track of
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# which traces to keep track of
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traces = [ base[0].E_AxB, base[1].E_AxB ]
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traces = [ base[0].E_AxB, base[1].E_AxB ]
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# how many samples do we need to shift
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sampling_dt = (base[1].t[1] - base[1].t[0]) # ns
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sampling_dt = (base[1].t[1] - base[1].t[0]) # ns
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# how many samples do we need to shift
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ks, maxima = lib.coherence_sum_maxima(traces[0], traces[1])
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ks, maxima = lib.coherence_sum_maxima(traces[0], traces[1])
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max_idx = np.argmax(maxima)
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max_idx = np.argmax(maxima)
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best_k = ks[max_idx]
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best_k = ks[max_idx]
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delta_t_coherence = sampling_dt*best_k # ns
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delta_t_coherence = sampling_dt*best_k # ns
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print("K", best_k, sampling_dt, '=', delta_t_coherence)
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print('A1:', base[0].name, 'A2:', base[1].name, "K:", best_k, '= [ns]', delta_t_coherence)
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# get the amount of periods to move
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# get the amount of periods to move
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f_beacon = base[0].beacon_info[freq_name]['freq']
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f_beacon = base[0].beacon_info[freq_name]['freq']
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@ -61,14 +64,24 @@ if __name__ == "__main__":
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if rest < 0:
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if rest < 0:
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k_period -= 1
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k_period -= 1
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# save k_period with antenna names
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# Get true phase diffs
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integer_periods[i] = [int(base[0].name), int(base[1].name), k_period]
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try:
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true_phases = np.array([ant.beacon_info[freq_name]['true_phase'] for ant in base])
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true_phases_diff = lib.phase_mod(true_phases[0] - true_phases[1])
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except IndexError:
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# freq_name not in beacon_info
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# or true_phase not determined yet
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true_phases_diff = np.nan
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if i in [ 98, 99 ]:
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# save k_period with antenna names
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time_diffs[i] = [true_phases_diff, k_period, f_beacon]
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# Plotting for one or two iterations
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if show_plots and i in [ 0, 1 ]:
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print('i',i,'k[T]',k_period, 'rest[ns]',rest, 'T[ns]',1/f_beacon)
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print('i',i,'k[T]',k_period, 'rest[ns]',rest, 'T[ns]',1/f_beacon)
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# Show correlation maxima plot
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# Show correlation maxima plot
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if True:
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if not True:
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fig, ax = plt.subplots()
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fig, ax = plt.subplots()
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ax.set_title(f"Correlation Maxima {i}")
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ax.set_title(f"Correlation Maxima {i}")
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ax.set_xlabel("k")
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ax.set_xlabel("k")
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@ -80,18 +93,11 @@ if __name__ == "__main__":
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delta_t_antennas = base[0].t[0] - base[1].t[0]
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delta_t_antennas = base[0].t[0] - base[1].t[0]
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# Delta t due to the beacon
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# Delta t due to the beacon
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try:
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if true_phases_diff is np.nan:
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true_phases = np.array([ant.beacon_info[freq_name]['true_phase'] for ant in base])
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true_phases_diff = 0
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delta_true_phases = lib.phase_mod(true_phases[0] - true_phases[1])
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delta_t_beacon = true_phases_diff/(2*np.pi*f_beacon)
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delta_t_beacon = delta_true_phases/(2*np.pi*f_beacon)
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except e:
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# freq_name not found
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# simply continue and set it them 0
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print("No beacon")
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delta_true_phases = 0
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delta_t_beacon = 0
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print("t0[ns]", delta_t_antennas, "t_beacon[ns]", delta_t_beacon, "phase", delta_true_phases)
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print("t0[ns]", delta_t_antennas, "t_beacon[ns]", delta_t_beacon, "phase", true_phases_diff)
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fig, ax = plt.subplots()
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fig, ax = plt.subplots()
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ax.set_xlabel('t')
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ax.set_xlabel('t')
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ax.plot(base[0].t, traces[0], label=f'Reference {base[0].name}', alpha=0.5)
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ax.plot(base[0].t, traces[0], label=f'Reference {base[0].name}', alpha=0.5)
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@ -108,13 +114,8 @@ if __name__ == "__main__":
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ax.legend()
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ax.legend()
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# Save integer periods to antennas
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# Save integer periods to antennas
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with h5py.File(antennas_fname, 'a') as fp:
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beacon.write_baseline_time_diffs_hdf5(antennas_fname, baselines, time_diffs[:,0], time_diffs[:,1], time_diffs[:,2])
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group_name = 'beacon_ks'
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if group_name in fp:
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del fp[group_name]
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fp.create_dataset(group_name, data=integer_periods)
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plt.show()
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# Report back to CLI
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# Report back to CLI
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print("Period Multiples resolved in", antennas_fname)
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print("Period Multiples resolved and written to ", antennas_fname)
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plt.show()
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