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ZH: show true residuals for antenna clock_phase
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1 changed files with 44 additions and 32 deletions
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@ -62,7 +62,6 @@ if __name__ == "__main__":
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sigma_phase_matrix = sigma_phase_matrix - first_row[:,np.newaxis]
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sigma_phase_matrix = lib.phase_mod(sigma_phase_matrix)
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# Except for the first row, these are all separate measurements
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# Condense into phase offset per antenna
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if True: # do not use the first row
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@ -97,44 +96,57 @@ if __name__ == "__main__":
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##############################
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# Compare actual time shifts #
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##############################
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antenna_time_shifts = { a.name: a.attrs['clock_offset'] for a in antennas }
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antenna_time_shifts = { a.name: a.attrs['clock_offset'] for a in sorted(antennas, key=lambda a: int(a.name)) }
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if True:
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# show means and std
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fig, axs = plt.subplots(1,2, sharey=True)
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fig.suptitle("Comparison Measured and Actual Phases")
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axs[0].set_xlabel("Antenna no.")
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axs[0].set_ylabel("Antenna Phase $\\Delta_\\varphi$")
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axs[1].set_xlabel("#")
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if True:
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forward = lambda x: x/(2*np.pi*f_beacon)
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inverse = lambda x: 2*np.pi*x*f_beacon
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secax = axs[1].secondary_yaxis('right', functions=(forward, inverse))
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secax.set_ylabel('Time $\\Delta\\varphi/(2\\pi f_{beac})$ [ns]')
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actual_phase_shifts = [ -1*lib.phase_mod(2*np.pi*f_beacon*v) for k,v in antenna_time_shifts.items() ]
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antenna_names = [int(k)-1 for k,v in antenna_time_shifts.items() ]
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l = axs[0].errorbar(np.arange(N_ant), mean_sigma_phase, yerr=std_sigma_phase, marker='4', alpha=0.7, ls='none')
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for i in range(2):
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plot_residuals = i == 1
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colors = ['blue', 'orange']
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axs[1].hist(mean_sigma_phase, bins='sqrt', density=False, orientation='horizontal', color=l[0].get_color(), histtype='step')
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# Actual time shifts
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if True:
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actual_phase_shifts = [ -1*lib.phase_mod(2*np.pi*f_beacon*v) for k,v in antenna_time_shifts.items() ]
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antenna_names = [int(k)-1 for k,v in antenna_time_shifts.items() ]
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# make sure to keep the same offset
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if False:
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phase_offset = mean_sigma_phase[0] - actual_phase_shifts[0]
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actual_phase_shifts += phase_offset
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l = axs[0].plot(antenna_names, actual_phase_shifts, ls='none', marker='3', alpha=0.8)
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fig, axs = plt.subplots(1,2, sharey=True)
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if True:
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axs[1].hist(actual_phase_shifts, bins='sqrt', density=False, orientation='horizontal', ls='dashed', color=l[0].get_color(), histtype='step')
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forward = lambda x: x/(2*np.pi*f_beacon)
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inverse = lambda x: 2*np.pi*x*f_beacon
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secax = axs[-1].secondary_yaxis('right', functions=(forward, inverse))
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secax.set_ylabel('Time $\\Delta\\varphi/(2\\pi f_{beac})$ [ns]')
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fig.tight_layout()
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if fig_dir:
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fig.savefig(path.join(fig_dir, __file__ + f".residuals.pdf"))
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if plot_residuals:
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phase_residuals = lib.phase_mod(mean_sigma_phase - actual_phase_shifts)
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fig.suptitle("Difference between Measured and Actual phases\n for Antenna $i$")
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axs[0].set_ylabel("Antenna Phase Residual $\\Delta_\\varphi$")
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else:
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fig.suptitle("Comparison Measured and Actual phases\n for Antenna $i$")
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axs[0].set_ylabel("Antenna Phase $\\Delta_\\varphi$")
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i=0
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axs[i].set_xlabel("Antenna no.")
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if plot_residuals:
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axs[i].plot(np.arange(N_ant), phase_residuals, alpha=0.6, ls='none', marker='x', color=colors[0])
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else:
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axs[i].errorbar(np.arange(N_ant), mean_sigma_phase, yerr=std_sigma_phase, marker='4', alpha=0.7, ls='none', color=colors[0], label='Measured')
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axs[i].plot(antenna_names, actual_phase_shifts, ls='none', marker='3', alpha=0.8, color=colors[1], label='Actual')
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axs[i].legend()
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i=1
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axs[i].set_xlabel("#")
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if plot_residuals:
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axs[i].hist(phase_residuals, bins='sqrt', alpha=0.8, color=colors[0], orientation='horizontal')
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else:
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axs[i].hist(mean_sigma_phase, bins='sqrt', density=False, orientation='horizontal', color=colors[0], histtype='step', label='Measured')
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axs[i].hist(actual_phase_shifts, bins='sqrt', density=False, orientation='horizontal', ls='dashed', color=colors[1], histtype='step', label='Actual')
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fig.tight_layout()
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if fig_dir:
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extra_name = "measured"
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if plot_residuals:
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extra_name = "residuals"
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fig.savefig(path.join(fig_dir, __file__ + f".phase.{extra_name}.pdf"))
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##########################
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##########################
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