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https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
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ZH: true phase script plots measured and actual local clock phases
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1 changed files with 100 additions and 45 deletions
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@ -83,64 +83,119 @@ if __name__ == "__main__":
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# Plot True Phases at their locations
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if show_plots or fig_dir:
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fig, ax = plt.subplots(figsize=figsize)
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spatial_unit='m'
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fig.suptitle('Clock phases\nf_beacon= {:2.0f}MHz'.format(f_beacon*1e3))
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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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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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ax.set_ylabel('y' if spatial_unit is None else 'y [{}]'.format(spatial_unit))
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scatter_kwargs = {}
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scatter_kwargs['cmap'] = 'inferno'
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#scatter_kwargs['vmin'] = -np.pi
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#scatter_kwargs['vmax'] = +np.pi
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color_label='$\\varphi(\\sigma_t)$ [rad]'
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antenna_locs = list(zip(*[(ant.x, ant.y) for ant in antennas]))
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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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scatter_kwargs = {}
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scatter_kwargs['cmap'] = 'inferno'
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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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# 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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if not True:
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ax.plot(tx.x, tx.y, 'X', color='k', markeredgecolor='white')
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fname_extra='measured.'
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if fig_dir:
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".F{freq_name}.pdf"))
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#scatter_kwargs['vmin'] = -np.pi
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#scatter_kwargs['vmax'] = +np.pi
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# Plot True Phases - Actual True Phases at their location
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if show_plots or fig_dir:
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fig, ax = plt.subplots(figsize=figsize)
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fig.suptitle('Clock phase Residuals\nf_beacon={:2.0f}MHz'.format(f_beacon*1e3))
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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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actual_clock_phases = np.array([ -2*np.pi*a.attrs['clock_offset']*f_beacon for a in antennas ])
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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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# 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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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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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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ax.set_ylabel('y' if spatial_unit is None else 'y [{}]'.format(spatial_unit))
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scatter_kwargs = {}
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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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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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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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##
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## Geometrical Plot
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##
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fig, ax = plt.subplots(figsize=figsize)
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if fig_dir:
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".residual.F{freq_name}.pdf"))
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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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fig, axs = plt.subplots(2, 1, sharex=True, figsize=figsize)
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colors = ['blue', 'orange']
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if True:
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phase2time = lambda x: x/(2*np.pi*f_beacon)
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time2phase = lambda x: 2*np.pi*x*f_beacon
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secax = axs[0].secondary_xaxis('top', functions=(phase2time, time2phase))
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secax.set_xlabel('Time $\\Delta\\varphi/(2\\pi f_{beac})$ [ns]')
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if plot_residuals:
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fig.suptitle("Difference between Measured and True Clock phases")
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else:
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fig.suptitle("Comparison Measured and True Clock Phases")
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axs[-1].set_xlabel(f'Antenna {title} {color_label}')
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#
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hist_kwargs = dict(bins='sqrt', density=False, alpha=0.8, histtype='step')
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i=0
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axs[i].set_ylabel("#")
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axs[i].hist(loc_c, color=colors[0], label='Measured', ls='solid', **hist_kwargs)
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if not plot_residuals: # also plot the true clock phases
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axs[i].hist(actual_clock_phases, color=colors[1], label='Actual', ls='dashed', **hist_kwargs)
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#axs[i].legend()
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#
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plot_kwargs = dict(alpha=0.6, ls='none')
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i=1
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axs[i].set_ylabel("Antenna no.")
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axs[i].plot(loc_c, np.arange(len(loc_c)), marker='x' if plot_residuals else '3', color=colors[0], label='Measured', **plot_kwargs)
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if not plot_residuals: # also plot the true clock phases
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axs[i].plot(actual_clock_phases, np.arange(len(loc_c)), marker='4', color=colors[1], label='Actual', **plot_kwargs)
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axs[i].legend()
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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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print(f"True phases written to", antennas_fname)
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