2022-11-22 15:58:01 +01:00
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#!/usr/bin/env python3
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# vim: fdm=indent ts=4
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import h5py
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from itertools import combinations, zip_longest
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import matplotlib.pyplot as plt
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import numpy as np
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import aa_generate_beacon as beacon
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import lib
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2023-02-07 17:15:53 +01:00
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from lib import figlib
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2022-11-22 15:58:01 +01:00
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if __name__ == "__main__":
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from os import path
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import sys
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2022-12-08 14:41:33 +01:00
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import os
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2022-12-05 17:48:58 +01:00
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import matplotlib
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2022-12-08 14:41:33 +01:00
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if os.name == 'posix' and "DISPLAY" not in os.environ:
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matplotlib.use('Agg')
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2022-12-05 17:48:58 +01:00
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2023-01-12 14:31:21 +01:00
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from scriptlib import MyArgumentParser
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parser = MyArgumentParser()
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args = parser.parse_args()
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2023-02-02 08:57:03 +01:00
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figsize = (12,8)
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2022-12-15 14:40:20 +01:00
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c_light = lib.c_light
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2023-01-12 14:31:21 +01:00
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show_plots = args.show_plots
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2022-11-22 15:58:01 +01:00
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2022-12-02 18:04:38 +01:00
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remove_absolute_phase_offset_first_antenna = True # takes precedence
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remove_absolute_phase_offset_minimum = True
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2022-11-22 15:58:01 +01:00
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####
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2023-02-02 17:55:37 +01:00
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fname_dir = args.data_dir
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2022-11-22 15:58:01 +01:00
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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2023-04-13 15:04:45 +02:00
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beacon_snr_fname = path.join(fname_dir, beacon.beacon_snr_fname)
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2022-11-22 15:58:01 +01:00
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2023-01-12 14:49:54 +01:00
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fig_dir = args.fig_dir # set None to disable saving
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2022-12-05 17:48:58 +01:00
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2022-11-22 15:58:01 +01:00
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if not path.isfile(antennas_fname):
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print("Antenna file cannot be found, did you try generating a beacon?")
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sys.exit(1)
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# Read in antennas from file
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f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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# Make sure at least one beacon has been identified
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if not hasattr(antennas[0], 'beacon_info') or len(antennas[0].beacon_info) == 0:
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2023-01-17 18:17:12 +01:00
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print(f"No analysed beacon found for {antennas[0].name}, try running the beacon phase analysis script first.")
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2022-11-22 15:58:01 +01:00
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sys.exit(1)
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#
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N_beacon_freqs = len(antennas[0].beacon_info)
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for freq_name in antennas[0].beacon_info.keys():
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2023-01-17 18:17:12 +01:00
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beacon_phases = np.empty( (len(antennas)) )
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2022-12-15 12:56:20 +01:00
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for i, ant in enumerate(antennas):
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2023-01-17 18:17:12 +01:00
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beacon_phases[i] = ant.beacon_info[freq_name]['beacon_phase']
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2022-12-15 12:56:20 +01:00
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f_beacon = antennas[0].beacon_info[freq_name]['freq']
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2023-01-19 16:24:05 +01:00
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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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2022-11-22 15:58:01 +01:00
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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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2022-12-02 18:04:38 +01:00
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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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2023-01-19 16:24:05 +01:00
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minimum_phase = clock_phases[0]
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2022-11-22 15:58:01 +01:00
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else: # take the minimum
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2023-01-19 16:24:05 +01:00
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minimum_phase = np.min(clock_phases, axis=-1)
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2022-11-22 15:58:01 +01:00
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2023-01-19 16:24:05 +01:00
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clock_phases -= minimum_phase
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clock_phases = lib.phase_mod(clock_phases)
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2022-11-22 15:58:01 +01:00
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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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h5group = fp['antennas']
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for i, ant in enumerate(antennas):
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h5ant = fp['antennas'][ant.name]
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h5beacon_freq = h5ant['beacon_info'][freq_name]
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2023-01-19 16:24:05 +01:00
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h5beacon_freq.attrs['clock_phase'] = clock_phases[i]
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2022-11-22 15:58:01 +01:00
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# Plot True Phases at their locations
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2022-12-05 17:48:58 +01:00
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if show_plots or fig_dir:
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2023-02-07 14:17:17 +01:00
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actual_clock_phases = lib.phase_mod(np.array([ -2*np.pi*a.attrs['clock_offset']*f_beacon for a in antennas ]))
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for i in range(2):
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plot_residuals = i == 1
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spatial_unit='m'
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2022-11-22 15:58:01 +01:00
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2023-02-07 14:17:17 +01:00
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antenna_locs = list(zip(*[(ant.x, ant.y) for ant in antennas]))
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2022-11-22 15:58:01 +01:00
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2023-02-07 14:17:17 +01:00
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scatter_kwargs = {}
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scatter_kwargs['cmap'] = 'inferno'
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2022-11-22 15:58:01 +01:00
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2023-02-07 14:17:17 +01:00
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# Measurements
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if not plot_residuals:
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title='Clock phases'
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color_label='$\\varphi(\\sigma_t)$ [rad]'
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2022-12-20 15:26:10 +01:00
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2023-02-07 14:17:17 +01:00
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fname_extra='measured.'
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2022-12-20 15:26:10 +01:00
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2023-02-07 14:17:17 +01:00
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#scatter_kwargs['vmin'] = -np.pi
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#scatter_kwargs['vmax'] = +np.pi
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2022-12-05 17:48:58 +01:00
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2023-02-07 14:17:17 +01:00
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# Plot Clock Phases - True Clock Phases at their location
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else:
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title='Clock phase Residuals'
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color_label='$\\Delta\\varphi(\\sigma_t) = \\varphi_{meas} - \\varphi_{true}$ [rad]'
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fname_extra='residuals.'
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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_clock_phases[0]
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else: # take the minimum
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minimum_phase = np.min(actual_clock_phases, axis=-1)
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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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clock_phase_residuals = lib.phase_mod(clock_phases - actual_clock_phases)
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if not plot_residuals:
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loc_c = clock_phases
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else:
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loc_c = clock_phase_residuals
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##
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## Geometrical Plot
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##
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fig, ax = plt.subplots(figsize=figsize)
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ax.set_xlabel('x' if spatial_unit is None else 'x [{}]'.format(spatial_unit))
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ax.set_ylabel('y' if spatial_unit is None else 'y [{}]'.format(spatial_unit))
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fig.suptitle(title+'\nf_beacon= {:2.0f}MHz'.format(f_beacon*1e3))
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sc = ax.scatter(*antenna_locs, c=loc_c, **scatter_kwargs)
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fig.colorbar(sc, ax=ax, label=color_label)
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if False:
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for i, ant in enumerate(antennas):
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ax.text(ant.x, ant.y, ant.name)
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if not True:
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ax.plot(tx.x, tx.y, 'X', color='k', markeredgecolor='white')
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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".geom.{fname_extra}F{freq_name}.pdf"))
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##
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## Histogram
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##
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2023-04-13 15:04:45 +02:00
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beacon_snrs = beacon.read_snr_file(beacon_snr_fname)
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2023-04-28 17:14:49 +02:00
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snr_str = f"$\\langle SNR \\rangle$ = {beacon_snrs['mean']: .1g}"
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2023-03-27 16:54:47 +02:00
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2023-02-07 17:15:53 +01:00
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fig = figlib.phase_comparison_figure(
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loc_c,
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actual_clock_phases,
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plot_residuals=plot_residuals,
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f_beacon=f_beacon,
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2023-02-13 10:40:26 +01:00
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figsize=figsize,
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fit_gaussian=plot_residuals,
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2023-02-07 17:15:53 +01:00
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)
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2023-02-07 14:17:17 +01:00
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2023-04-12 22:42:59 +02:00
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axs = fig.get_axes()
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2023-02-07 14:17:17 +01:00
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if plot_residuals:
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2023-04-12 22:42:59 +02:00
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axs[0].set_title("Difference between Measured and True Clock phases")
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2023-02-07 14:17:17 +01:00
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else:
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2023-04-12 22:42:59 +02:00
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axs[0].set_title("Comparison Measured and True Clock Phases")
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2022-12-20 15:26:10 +01:00
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2023-02-07 14:17:17 +01:00
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axs[-1].set_xlabel(f'Antenna {title} {color_label}')
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2022-12-20 15:26:10 +01:00
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2023-02-07 14:17:17 +01:00
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#
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i=0
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2023-02-07 17:15:53 +01:00
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secax = axs[i].child_axes[0]
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secax.set_xlabel('Time $\\Delta\\varphi/(2\\pi f_{beac})$ [ns]')
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2022-12-20 15:26:10 +01:00
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2023-02-07 14:17:17 +01:00
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#
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i=1
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axs[i].set_ylabel("Antenna no.")
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2022-12-20 15:26:10 +01:00
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2023-04-12 22:42:59 +02:00
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#
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fig.legend(title=snr_str)
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2023-02-07 14:17:17 +01:00
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# Save figure
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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".{fname_extra}F{freq_name}.pdf"))
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2022-12-20 15:26:10 +01:00
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2022-12-05 17:48:58 +01:00
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print(f"True phases written to", antennas_fname)
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if show_plots:
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2022-11-25 12:12:04 +01:00
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plt.show()
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