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ZH: SNR: airshower to noise + show SNR on debug plot
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1 changed files with 20 additions and 2 deletions
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@ -76,10 +76,12 @@ if __name__ == "__main__":
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ant = antennas[0]
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fig, ax = plt.subplots(figsize=figsize)
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_ = lib.signal_to_noise(myfilter(beacon_amp*ant.beacon), myfilter(ant.noise), samplerate=1/dt, signal_band=beacon_pb, noise_band=noise_pb, debug_ax=ax)
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_debug_snrs = lib.signal_to_noise(myfilter(beacon_amp*ant.beacon), myfilter(ant.noise), samplerate=1/dt, signal_band=beacon_pb, noise_band=noise_pb, debug_ax=ax)
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ax.legend(title="$\\langle SNR \\rangle$ = {: .1e}".format(np.mean(_debug_snrs)))
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ax.set_title("Spectra and passband")
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ax.set_xlabel("Frequency")
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ax.set_xlabel("Frequency [GHz]")
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ax.set_ylabel("Amplitude")
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low_x, high_x = min(beacon_pb[0], noise_pb[0]), max(beacon_pb[1] or 0, noise_pb[1])
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ax.set_xlim(low_x, high_x)
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@ -119,6 +121,22 @@ if __name__ == "__main__":
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if fig_dir:
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".beacon_vs_total_snr.pdf"))
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##
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## Signal vs Noise SNR
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##
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if True:
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beacon_snrs = [ lib.signal_to_noise(myfilter(ant.E_AxB - beacon_amp*ant.beacon), myfilter(ant.noise), samplerate=1/dt, signal_band=beacon_pb, noise_band=pb) for ant in antennas ]
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fig, ax = plt.subplots(figsize=figsize)
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ax.set_title("Maximum Airshower/Noise SNR")
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ax.set_xlabel("Antenna no.")
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ax.set_ylabel("SNR")
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ax.plot([ int(ant.name) for ant in antennas], beacon_snrs, 'o', ls='none')
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if fig_dir:
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".airshower_vs_noise_snr.pdf"))
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##
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## Airshower signal vs Noise SNR
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##
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