mirror of
https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-11-13 18:13:31 +01:00
96 lines
3.1 KiB
Python
Executable file
96 lines
3.1 KiB
Python
Executable file
#!/usr/bin/env python3
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# vim: fdm=indent ts=4
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__doc__ = \
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"""
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Show the beacon amplitude per antenna.
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"""
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import numpy as np
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import h5py
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import matplotlib.pyplot as plt
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import aa_generate_beacon as beacon
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import lib
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if __name__ == "__main__":
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import os.path as path
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fname = "ZH_airshower/mysim.sry"
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####
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fname_dir = path.dirname(fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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subtitle = ""
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if True:
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beacon_frequencies = np.array([ant.attrs['beacon_freq'] for ant in antennas])
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beacon_amplitudes = np.array([ant.attrs['beacon_amplitude'] for ant in antennas])
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beacon_phases = np.array([lib.phase_mod(ant.attrs['beacon_phase_measured']) for ant in antennas])
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else:
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subtitle = " Phases from t0"
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beacon_frequencies = np.array([ f_beacon for ant in antennas ])
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beacon_amplitudes = np.array([ 1 for ant in antennas ])
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beacon_phases = np.array([ lib.phase_mod(ant.attrs['t0']*beacon_frequencies[i]*2*np.pi) for i, ant in enumerate(antennas)])
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#####
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sizes = 64
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if True:
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vals = beacon_phases
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colorlabel = '$\\varphi$'
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sizes = 64*(beacon_amplitudes/np.max(beacon_amplitudes))**2
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else:
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vals = beacon_amplitudes
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colorlabel = "[$\\mu$V/m]"
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x = [ a.x for a in antennas ]
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y = [ a.y for a in antennas ]
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#####
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fig, axs = plt.subplots()
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axs.set_title(f"Amplitude at beacon frequency at each antenna\nf at A0: {beacon_frequencies[0]}GHz" + subtitle)
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axs.set_aspect('equal', 'datalim')
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axs.set_xlabel('[m]')
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axs.set_ylabel('[m]')
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if True:
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if True:
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# underlie a calculate phase field
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if True: # only fill for antennas
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xs = np.linspace( np.min(x), np.max(x), 4*np.ceil(len(antennas)**0.5) -1 )
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ys = np.linspace( np.min(y), np.max(y), 4*np.ceil(len(antennas)**0.5) -1)
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else: # make field from halfway the transmitter
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xs = np.linspace( (tx.x - np.min(x))/2, np.max(x), 500)
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ys = np.linspace( (tx.y - np.min(y))/2, np.max(y), 500)
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phases, (xs, ys) = lib.phase_field_from_tx(xs, ys, tx, f_beacon*1e9,return_meshgrid=False)
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sc2 = axs.scatter(xs, ys, c=phases, alpha=0.5, zorder=-5, cmap='Spectral_r')
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fig.colorbar(sc2, ax=axs)
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sc = axs.scatter(x, y, c=vals, s=sizes, cmap='Spectral_r', edgecolors='k', marker='X')
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axs.plot(tx.x, tx.y, marker='X', color='k')
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#for i, freq in enumerate(beacon_frequencies):
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# axs.text(f"{freq:.2e}", (x[i], y[i]))
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fig.colorbar(sc, ax=axs, label=colorlabel)
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else:
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phases, (xs, ys) = lib.phase_field_from_tx(x, y, tx, f_beacon*1e9, return_meshgrid=False)
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phase_diffs = vals - lib.phase_mod(phases)
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phase_diffs = lib.phase_mod(phase_diffs)
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print(phases)
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sc = axs.scatter(xs, ys, c=phase_diffs, s=sizes, cmap="Spectral_r")
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axs.plot(tx.x, tx.y, marker='X', color='k')
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fig.colorbar(sc, ax=axs, label=colorlabel)
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fig.savefig(__file__ + ".pdf")
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plt.show()
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