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ZH: show true residuals for antenna clock_phase

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Eric Teunis de Boone 2022-12-22 12:04:22 +01:00
parent 1a61f84157
commit a8ddc6b662
1 changed files with 44 additions and 32 deletions
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76
simulations/airshower_beacon_simulation/bd_antenna_phase_deltas.py
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@ -62,7 +62,6 @@ if __name__ == "__main__":
sigma_phase_matrix = sigma_phase_matrix - first_row[:,np.newaxis] sigma_phase_matrix = sigma_phase_matrix - first_row[:,np.newaxis]
sigma_phase_matrix = lib.phase_mod(sigma_phase_matrix) sigma_phase_matrix = lib.phase_mod(sigma_phase_matrix)
# Except for the first row, these are all separate measurements # Except for the first row, these are all separate measurements
# Condense into phase offset per antenna # Condense into phase offset per antenna
if True: # do not use the first row if True: # do not use the first row
@ -97,44 +96,57 @@ if __name__ == "__main__":
############################## ##############################
# Compare actual time shifts # # Compare actual time shifts #
############################## ##############################
antenna_time_shifts = { a.name: a.attrs['clock_offset'] for a in antennas } antenna_time_shifts = { a.name: a.attrs['clock_offset'] for a in sorted(antennas, key=lambda a: int(a.name)) }
if True: if True:
# show means and std actual_phase_shifts = [ -1*lib.phase_mod(2*np.pi*f_beacon*v) for k,v in antenna_time_shifts.items() ]
fig, axs = plt.subplots(1,2, sharey=True) antenna_names = [int(k)-1 for k,v in antenna_time_shifts.items() ]
fig.suptitle("Comparison Measured and Actual Phases")
axs[0].set_xlabel("Antenna no.")
axs[0].set_ylabel("Antenna Phase $\\Delta_\\varphi$")
axs[1].set_xlabel("#")
if True:
forward = lambda x: x/(2*np.pi*f_beacon)
inverse = lambda x: 2*np.pi*x*f_beacon
secax = axs[1].secondary_yaxis('right', functions=(forward, inverse))
secax.set_ylabel('Time $\\Delta\\varphi/(2\\pi f_{beac})$ [ns]')
l = axs[0].errorbar(np.arange(N_ant), mean_sigma_phase, yerr=std_sigma_phase, marker='4', alpha=0.7, ls='none') for i in range(2):
plot_residuals = i == 1
colors = ['blue', 'orange']
axs[1].hist(mean_sigma_phase, bins='sqrt', density=False, orientation='horizontal', color=l[0].get_color(), histtype='step') fig, axs = plt.subplots(1,2, sharey=True)
# Actual time shifts
if True:
actual_phase_shifts = [ -1*lib.phase_mod(2*np.pi*f_beacon*v) for k,v in antenna_time_shifts.items() ]
antenna_names = [int(k)-1 for k,v in antenna_time_shifts.items() ]
# make sure to keep the same offset
if False:
phase_offset = mean_sigma_phase[0] - actual_phase_shifts[0]
actual_phase_shifts += phase_offset
l = axs[0].plot(antenna_names, actual_phase_shifts, ls='none', marker='3', alpha=0.8)
if True: if True:
axs[1].hist(actual_phase_shifts, bins='sqrt', density=False, orientation='horizontal', ls='dashed', color=l[0].get_color(), histtype='step') forward = lambda x: x/(2*np.pi*f_beacon)
inverse = lambda x: 2*np.pi*x*f_beacon
secax = axs[-1].secondary_yaxis('right', functions=(forward, inverse))
secax.set_ylabel('Time $\\Delta\\varphi/(2\\pi f_{beac})$ [ns]')
fig.tight_layout() if plot_residuals:
if fig_dir: phase_residuals = lib.phase_mod(mean_sigma_phase - actual_phase_shifts)
fig.savefig(path.join(fig_dir, __file__ + f".residuals.pdf")) fig.suptitle("Difference between Measured and Actual phases\n for Antenna $i$")
axs[0].set_ylabel("Antenna Phase Residual $\\Delta_\\varphi$")
else:
fig.suptitle("Comparison Measured and Actual phases\n for Antenna $i$")
axs[0].set_ylabel("Antenna Phase $\\Delta_\\varphi$")
i=0
axs[i].set_xlabel("Antenna no.")
if plot_residuals:
axs[i].plot(np.arange(N_ant), phase_residuals, alpha=0.6, ls='none', marker='x', color=colors[0])
else:
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')
axs[i].plot(antenna_names, actual_phase_shifts, ls='none', marker='3', alpha=0.8, color=colors[1], label='Actual')
axs[i].legend()
i=1
axs[i].set_xlabel("#")
if plot_residuals:
axs[i].hist(phase_residuals, bins='sqrt', alpha=0.8, color=colors[0], orientation='horizontal')
else:
axs[i].hist(mean_sigma_phase, bins='sqrt', density=False, orientation='horizontal', color=colors[0], histtype='step', label='Measured')
axs[i].hist(actual_phase_shifts, bins='sqrt', density=False, orientation='horizontal', ls='dashed', color=colors[1], histtype='step', label='Actual')
fig.tight_layout()
if fig_dir:
extra_name = "measured"
if plot_residuals:
extra_name = "residuals"
fig.savefig(path.join(fig_dir, __file__ + f".phase.{extra_name}.pdf"))
########################## ##########################
########################## ##########################