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	ZH: correct beacon amplitude in SNR plots
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					 1 changed files with 12 additions and 13 deletions
				
			
		|  | @ -79,8 +79,6 @@ if __name__ == "__main__": | |||
|     if os.name == 'posix' and "DISPLAY" not in os.environ: | ||||
|         matplotlib.use('Agg') | ||||
| 
 | ||||
|     f_beacon_band = (49e-3,55e-3) #GHz | ||||
| 
 | ||||
|     fname = "ZH_airshower/mysim.sry" | ||||
| 
 | ||||
|     fig_dir = "./figures/" | ||||
|  | @ -89,31 +87,32 @@ if __name__ == "__main__": | |||
|     #### | ||||
|     fname_dir = path.dirname(fname) | ||||
|     antennas_fname = path.join(fname_dir, beacon.antennas_fname) | ||||
|     time_diffs_fname = 'time_diffs.hdf5' if not True else antennas_fname | ||||
|     tx_fname = path.join(fname_dir, beacon.tx_fname) | ||||
| 
 | ||||
|     # create fig_dir | ||||
|     if fig_dir: | ||||
|         os.makedirs(fig_dir, exist_ok=True) | ||||
| 
 | ||||
|     # Read in antennas from file | ||||
|     _, tx, antennas = beacon.read_beacon_hdf5(antennas_fname) | ||||
|     # Read original REvent | ||||
|     ev = REvent(fname) | ||||
|     f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname) | ||||
|     _, __, txdata = beacon.read_tx_file(tx_fname) | ||||
| 
 | ||||
|     # general properties | ||||
|     dt = antennas[0].t[1] - antennas[0].t[0] # ns | ||||
|     pb = passband(30e-3, 80e-3) # GHz | ||||
|     beacon_pb = passband(50e-3, 55e-3) # GHz | ||||
|     beacon_pb = passband(f_beacon-1e-3, f_beacon+1e-3) # GHz | ||||
| 
 | ||||
|     beacon_amp = np.max(txdata['amplitudes'])# mu V/m | ||||
| 
 | ||||
|     ## | ||||
|     ## Beacon vs Noise SNR | ||||
|     ## | ||||
|     if True: | ||||
|         beacon_snrs = [ signal_to_noise(ant.beacon, ant.noise, samplerate=1/dt, signal_band=beacon_pb) for ant in antennas ] | ||||
|         beacon_snrs = [ signal_to_noise(beacon_amp*ant.beacon, ant.noise, samplerate=1/dt, signal_band=beacon_pb) for ant in antennas ] | ||||
| 
 | ||||
|         fig, ax = plt.subplots() | ||||
|         ax.set_title("Beacon SNR") | ||||
|         ax.set_xlabel("Antenna") | ||||
|         ax.set_title("Maximum Beacon SNR") | ||||
|         ax.set_xlabel("Antenna no.") | ||||
|         ax.set_ylabel("SNR") | ||||
|         ax.plot([ int(ant.name) for ant in antennas], beacon_snrs, 'o', ls='none') | ||||
|          | ||||
|  | @ -127,13 +126,13 @@ if __name__ == "__main__": | |||
|         shower_snrs = [ signal_to_noise(ant.E_AxB, ant.noise, samplerate=1/dt, signal_band=pb) for ant in antennas ] | ||||
| 
 | ||||
|         fig, ax = plt.subplots() | ||||
|         ax.set_title("Shower SNR") | ||||
|         ax.set_xlabel("Antenna") | ||||
|         ax.set_title("Total (Signal+Beacon+Noise) SNR") | ||||
|         ax.set_xlabel("Antenna no.") | ||||
|         ax.set_ylabel("SNR") | ||||
|         ax.plot([ int(ant.name) for ant in antennas], shower_snrs, 'o', ls='none') | ||||
|          | ||||
|         if fig_dir: | ||||
|             fig.savefig(path.join(fig_dir, path.basename(__file__) + f".shower_snr.pdf")) | ||||
|             fig.savefig(path.join(fig_dir, path.basename(__file__) + f".total_snr.pdf")) | ||||
|      | ||||
|     if show_plots: | ||||
|         plt.show() | ||||
|  |  | |||
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