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https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
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ZH: renaming phase variables II: true_phase->clock_phase
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commit
97ebdea54f
6 changed files with 41 additions and 41 deletions
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@ -208,13 +208,13 @@ def read_baseline_time_diffs_hdf5(fname):
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dset = group[dset_name]
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time_diffs = dset[:,0]
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f_beacon = dset[:,1]
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true_phase_diffs = dset[:,2]
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clock_phase_diffs = dset[:,2]
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k_periods = dset[:,3]
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return names, time_diffs, f_beacon, true_phase_diffs, k_periods
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return names, time_diffs, f_beacon, clock_phase_diffs, k_periods
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def write_baseline_time_diffs_hdf5(fname, baselines, true_phase_diffs, k_periods, f_beacon, time_diffs=None, overwrite=True):
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def write_baseline_time_diffs_hdf5(fname, baselines, clock_phase_diffs, k_periods, f_beacon, time_diffs=None, overwrite=True):
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"""
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Write a combination of baselines, phase_diff, k_period and f_beacon to file.
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@ -225,7 +225,7 @@ def write_baseline_time_diffs_hdf5(fname, baselines, true_phase_diffs, k_periods
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# this is a single baseline
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N_baselines = 1
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baselines = [baselines]
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true_phase_diffs = [true_phase_diffs]
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clock_phase_diffs = [clock_phase_diffs]
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k_periods = [k_periods]
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f_beacon = np.array([f_beacon])
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@ -237,9 +237,9 @@ def write_baseline_time_diffs_hdf5(fname, baselines, true_phase_diffs, k_periods
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f_beacon = np.array([f_beacon]*N_baselines)
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if time_diffs is None:
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time_diffs = k_periods/f_beacon + true_phase_diffs/(2*np.pi*f_beacon)
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time_diffs = k_periods/f_beacon + clock_phase_diffs/(2*np.pi*f_beacon)
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assert len(baselines) == len(true_phase_diffs) == len(k_periods) == len(f_beacon)
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assert len(baselines) == len(clock_phase_diffs) == len(k_periods) == len(f_beacon)
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with h5py.File(fname, 'a') as fp:
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group_name = 'baseline_time_diffs'
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@ -263,7 +263,7 @@ def write_baseline_time_diffs_hdf5(fname, baselines, true_phase_diffs, k_periods
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base_dset = group.create_dataset(base_dset_name, data=basenames)
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data = np.vstack( (time_diffs, f_beacon, true_phase_diffs, k_periods) ).T
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data = np.vstack( (time_diffs, f_beacon, clock_phase_diffs, k_periods) ).T
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dset = group.create_dataset(dset_name, data=data)
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# }}} vim marker
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@ -57,19 +57,19 @@ if __name__ == "__main__":
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f_beacon = antennas[0].beacon_info[freq_name]['freq']
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true_phases = lib.remove_antenna_geometry_phase(tx, antennas, f_beacon, beacon_phases, c_light=c_light)
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clock_phases = lib.remove_antenna_geometry_phase(tx, antennas, f_beacon, beacon_phases, c_light=c_light)
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# Remove the phase from one antenna
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# this is a free parameter
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# (only required for absolute timing)
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if remove_absolute_phase_offset_first_antenna or remove_absolute_phase_offset_minimum:
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if remove_absolute_phase_offset_first_antenna: # just take the first phase
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minimum_phase = true_phases[0]
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minimum_phase = clock_phases[0]
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else: # take the minimum
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minimum_phase = np.min(true_phases, axis=-1)
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minimum_phase = np.min(clock_phases, axis=-1)
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true_phases -= minimum_phase
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true_phases = lib.phase_mod(true_phases)
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clock_phases -= minimum_phase
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clock_phases = lib.phase_mod(clock_phases)
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# Save to antennas in file
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with h5py.File(antennas_fname, 'a') as fp:
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@ -79,7 +79,7 @@ if __name__ == "__main__":
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h5ant = fp['antennas'][ant.name]
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h5beacon_freq = h5ant['beacon_info'][freq_name]
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h5beacon_freq.attrs['true_phase'] = true_phases[i]
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h5beacon_freq.attrs['clock_phase'] = clock_phases[i]
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# Plot True Phases at their locations
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if show_plots or fig_dir:
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@ -96,7 +96,7 @@ if __name__ == "__main__":
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#scatter_kwargs['vmax'] = +np.pi
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color_label='$\\varphi(\\sigma_t)$ [rad]'
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sc = ax.scatter(*antenna_locs, c=true_phases, **scatter_kwargs)
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sc = ax.scatter(*antenna_locs, c=clock_phases, **scatter_kwargs)
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fig.colorbar(sc, ax=ax, label=color_label)
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if False:
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@ -114,20 +114,20 @@ if __name__ == "__main__":
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fig, ax = plt.subplots()
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fig.suptitle('Clock phase Residuals\nf_beacon={:2.0f}MHz'.format(f_beacon*1e3))
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actual_true_phases = np.array([ -2*np.pi*a.attrs['clock_offset']*f_beacon for a in antennas ])
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actual_clock_phases = np.array([ -2*np.pi*a.attrs['clock_offset']*f_beacon for a in antennas ])
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# Modify actual_true_phases, the same way as true_phases
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# Modify actual_clock_phases, the same way as clock_phases
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# was modified
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if remove_absolute_phase_offset_first_antenna or remove_absolute_phase_offset_minimum:
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if remove_absolute_phase_offset_first_antenna: # just take the first phase
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minimum_phase = actual_true_phases[0]
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minimum_phase = actual_clock_phases[0]
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else: # take the minimum
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minimum_phase = np.min(actual_true_phases, axis=-1)
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minimum_phase = np.min(actual_clock_phases, axis=-1)
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actual_true_phases -= minimum_phase
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actual_true_phases = lib.phase_mod(actual_true_phases)
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actual_clock_phases -= minimum_phase
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actual_clock_phases = lib.phase_mod(actual_clock_phases)
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true_phase_residuals = lib.phase_mod(true_phases - actual_true_phases)
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clock_phase_residuals = lib.phase_mod(clock_phases - actual_clock_phases)
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antenna_locs = list(zip(*[(ant.x, ant.y) for ant in antennas]))
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ax.set_xlabel('x' if spatial_unit is None else 'x [{}]'.format(spatial_unit))
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@ -136,7 +136,7 @@ if __name__ == "__main__":
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scatter_kwargs['cmap'] = 'inferno'
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color_label='$\\Delta\\varphi(\\sigma_t) = \\varphi_{meas} - \\varphi_{true}$ [rad]'
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sc = ax.scatter(*antenna_locs, c=true_phase_residuals, **scatter_kwargs)
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sc = ax.scatter(*antenna_locs, c=clock_phase_residuals, **scatter_kwargs)
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fig.colorbar(sc, ax=ax, label=color_label)
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if fig_dir:
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@ -70,30 +70,30 @@ if __name__ == "__main__":
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# Get true phase diffs
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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(lib.phase_mod(true_phases[1]) - lib.phase_mod(true_phases[0]))
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clock_phases = np.array([ant.beacon_info[freq_name]['clock_phase'] for ant in base])
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clock_phases_diff = lib.phase_mod(lib.phase_mod(clock_phases[1]) - lib.phase_mod(clock_phases[0]))
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except IndexError:
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# true_phase not determined yet
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print(f"Missing true_phases for {freq_name} in baseline {base[0].name},{base[1].name}")
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true_phases_diff = np.nan
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# clock_phase not determined yet
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print(f"Missing clock_phases for {freq_name} in baseline {base[0].name},{base[1].name}")
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clock_phases_diff = np.nan
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# save phase difference with antenna names
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phase_diffs[i] = [f_beacon, true_phases_diff]
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phase_diffs[i] = [f_beacon, clock_phases_diff]
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beacon.write_baseline_time_diffs_hdf5(time_diffs_fname, baselines, phase_diffs[:,1], [0]*len(phase_diffs), phase_diffs[:,0])
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##############################
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# Compare actual time shifts #
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##############################
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actual_antenna_true_phases = { a.name: -2*np.pi*a.attrs['clock_offset']*f_beacon for a in sorted(antennas, key=lambda a: int(a.name)) }
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actual_antenna_clock_phases = { a.name: -2*np.pi*a.attrs['clock_offset']*f_beacon for a in sorted(antennas, key=lambda a: int(a.name)) }
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# Compare actual time shifts
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my_phase_diffs = []
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for i,b in enumerate(baselines):
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actual_true_phase_diff = lib.phase_mod( lib.phase_mod(actual_antenna_true_phases[b[1].name]) - lib.phase_mod(actual_antenna_true_phases[b[0].name]))
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actual_clock_phase_diff = lib.phase_mod( lib.phase_mod(actual_antenna_clock_phases[b[1].name]) - lib.phase_mod(actual_antenna_clock_phases[b[0].name]))
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this_actual_true_phase_diff = lib.phase_mod( actual_true_phase_diff )
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my_phase_diffs.append(this_actual_true_phase_diff)
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this_actual_clock_phase_diff = lib.phase_mod( actual_clock_phase_diff )
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my_phase_diffs.append(this_actual_clock_phase_diff)
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# Make a plot
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if True:
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@ -36,7 +36,7 @@ if __name__ == "__main__":
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time_diffs_fname = 'time_diffs.hdf5' if False else antennas_fname
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fig_dir = args.fig_dir # set None to disable saving
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basenames, time_diffs, f_beacons, true_phase_diffs, k_periods = beacon.read_baseline_time_diffs_hdf5(time_diffs_fname)
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basenames, time_diffs, f_beacons, clock_phase_diffs, k_periods = beacon.read_baseline_time_diffs_hdf5(time_diffs_fname)
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f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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@ -59,8 +59,8 @@ if __name__ == "__main__":
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for i, b in enumerate(basenames):
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idx = (name2idx(b[0]), name2idx(b[1]))
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sigma_phase_matrix[(idx[0], idx[1])] = lib.phase_mod(true_phase_diffs[i])
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sigma_phase_matrix[(idx[1], idx[0])] = lib.phase_mod(-1*true_phase_diffs[i])
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sigma_phase_matrix[(idx[0], idx[1])] = lib.phase_mod(clock_phase_diffs[i])
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sigma_phase_matrix[(idx[1], idx[0])] = lib.phase_mod(-1*clock_phase_diffs[i])
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mat_kwargs = dict(
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norm = Normalize(vmin=-np.pi, vmax=+np.pi),
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@ -70,16 +70,16 @@ def remove_antenna_geometry_phase(tx, antennas, f_beacon, measured_phases=None,
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if not hasattr(measured_phases, '__len__'):
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measured_phases = [measured_phases]
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true_phases = np.empty( (len(antennas)) )
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clock_phases = np.empty( (len(antennas)) )
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for i, ant in enumerate(antennas):
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measured_phase = measured_phases[i]
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geom_time = geometry_time(tx, ant, c_light=c_light)
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geom_phase = geom_time * 2*np.pi*f_beacon
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true_phases[i] = phase_mod(measured_phase - geom_phase)
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clock_phases[i] = phase_mod(measured_phase - geom_phase)
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return true_phases
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return clock_phases
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""" Fourier """
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@ -34,8 +34,8 @@ if __name__ == "__main__":
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beacon_amplitudes = np.array([ant.beacon_info[freq_name]['amplitude'] for ant in antennas])
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beacon_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['beacon_phase'] for ant in antennas]))
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if False and 'true_phase' in antennas[0].beacon_info[freq_name]:
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beacon_true_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['true_phase'] for ant in antennas]))
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if False and 'clock_phase' in antennas[0].beacon_info[freq_name]:
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beacon_clock_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['clock_phase'] for ant in antennas]))
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else:
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subtitle = " Phases from t0"
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beacon_frequencies = np.array([ f_beacon for ant in antennas ])
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@ -49,7 +49,7 @@ if __name__ == "__main__":
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colorlabel = '$\\varphi$'
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sizes = 64*(beacon_amplitudes/np.max(beacon_amplitudes))**2
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elif True: # True Phases
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vals = beacon_true_phases
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vals = beacon_clock_phases
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colorlabel = '$\\sigma_\\varphi$'
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plot_phase_field = False
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plot_tx = False
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