#!/usr/bin/env python3 # vim: fdm=indent ts=4 __doc__ = \ """ Show the beacon amplitude per antenna. """ import numpy as np import h5py import matplotlib.pyplot as plt import aa_generate_beacon as beacon import lib if __name__ == "__main__": import os.path as path fname = "ZH_airshower/mysim.sry" plot_phase_field = True plot_tx = False #### fname_dir = path.dirname(fname) antennas_fname = path.join(fname_dir, beacon.antennas_fname) f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname) pretitle = "" if True: freq_name = list(antennas[0].beacon_info.keys())[0] beacon_frequencies = np.array([ant.beacon_info[freq_name]['freq'] for ant in antennas]) beacon_amplitudes = np.array([ant.beacon_info[freq_name]['amplitude'] for ant in antennas]) beacon_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['beacon_phase'] for ant in antennas])) if False and 'true_phase' in antennas[0].beacon_info[freq_name]: beacon_true_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['true_phase'] for ant in antennas])) else: subtitle = " Phases from t0" beacon_frequencies = np.array([ f_beacon for ant in antennas ]) beacon_amplitudes = np.array([ 1 for ant in antennas ]) beacon_phases = np.array([ lib.phase_mod(ant.attrs['t0']*beacon_frequencies[i]*2*np.pi) for i, ant in enumerate(antennas)]) ##### sizes = 64 if True: vals = beacon_phases colorlabel = '$\\varphi$' sizes = 64*(beacon_amplitudes/np.max(beacon_amplitudes))**2 elif True: # True Phases vals = beacon_true_phases colorlabel = '$\\sigma_\\varphi$' plot_phase_field = False plot_tx = False else: vals = beacon_amplitudes colorlabel = "[$\\mu$V/m]" x = [ a.x for a in antennas ] y = [ a.y for a in antennas ] ##### fig, axs = plt.subplots() axs.set_title(pretitle + f"Beacon frequency at A0: {beacon_frequencies[0]:.3e}GHz") axs.set_aspect('equal', 'datalim') axs.set_xlabel('[m]') axs.set_ylabel('[m]') if True: vmax, vmin = None, None if plot_phase_field: # underlie a calculate phase field if True: # only fill for antennas xs = np.linspace( np.min(x), np.max(x), 4*np.ceil(len(antennas)**0.5) -1 ) ys = np.linspace( np.min(y), np.max(y), 4*np.ceil(len(antennas)**0.5) -1) else: # make field from halfway the transmitter xs = np.linspace( (tx.x - np.min(x))/2, np.max(x), 500) ys = np.linspace( (tx.y - np.min(y))/2, np.max(y), 500) phases, (xs, ys) = lib.phase_field_from_tx(xs, ys, tx, f_beacon*1e9,return_meshgrid=False) vmax, vmin = max(np.max(phases), np.max(vals)), min(np.min(phases), np.min(vals)) sc2 = axs.scatter(xs, ys, c=phases, alpha=0.5, zorder=-5, cmap='Spectral_r', vmin=vmin, vmax=vmax) if False: # do not share the same colours fig.colorbar(sc2, ax=axs) vmax, vmin = None, None sc = axs.scatter(x, y, c=vals, s=sizes, cmap='Spectral_r', edgecolors='k', marker='X', vmin=vmin, vmax=vmax) if plot_tx: axs.plot(tx.x, tx.y, marker='X', color='k') #for i, freq in enumerate(beacon_frequencies): # axs.text(f"{freq:.2e}", (x[i], y[i])) fig.colorbar(sc, ax=axs, label=colorlabel) else: phases, (xs, ys) = lib.phase_field_from_tx(x, y, tx, f_beacon*1e9, return_meshgrid=False) phase_diffs = vals - lib.phase_mod(phases) phase_diffs = lib.phase_mod(phase_diffs) print(phases) sc = axs.scatter(xs, ys, c=phase_diffs, s=sizes, cmap="Spectral_r") axs.plot(tx.x, tx.y, marker='X', color='k') fig.colorbar(sc, ax=axs, label=colorlabel) if not True: fig.savefig(__file__ + ".pdf") plt.show()