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https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-12-22 03:23:34 +01:00
ZH: view_beacon: plot noise and beacon traces
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1 changed files with 34 additions and 10 deletions
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@ -21,7 +21,7 @@ if __name__ == "__main__":
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from scriptlib import MyArgumentParser
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parser = MyArgumentParser()
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parser.add_argument('ant_idx', default=[72], nargs='*', type=int, help='Antenna Indices')
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parser.add_argument('-p', '--polarisations', choices=['x', 'y', 'z', 'b', 'AxB'], action='append', help='Default: x,y,z')
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parser.add_argument('-p', '--polarisations', choices=['x', 'y', 'z', 'b', 'AxB', 'n', 'b+n'], action='append', help='Default: x,y,z')
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parser.add_argument('--geom', action='store_true', help='Make a figure containg the geometry from tx to antenna(s)')
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parser.add_argument('--ft', action='store_true', help='Add FT strenghts of antenna traces')
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@ -42,8 +42,11 @@ if __name__ == "__main__":
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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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tx_fname = path.join(fname_dir, beacon.tx_fname)
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f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
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_, __, txdata = beacon.read_tx_file(tx_fname)
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beacon_amp = np.max(txdata['amplitudes'])# mu V/m
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idx = args.ant_idx
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@ -66,7 +69,7 @@ if __name__ == "__main__":
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name_dist='.raw'
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fig1, axs = plt.subplots(1+plot_ft_amplitude*2, figsize=figsize)
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fig1, axs = plt.subplots(1+plot_ft_amplitude*1 +0*1, figsize=figsize)
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if not plot_ft_amplitude:
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axs = [axs]
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axs[0].set_xlabel('t [ns]')
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@ -84,6 +87,7 @@ if __name__ == "__main__":
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axs[1].set_xlabel('f [GHz]')
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axs[1].set_ylabel('Power')
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if len(axs) > 2:
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axs[2].set_ylabel("Phase")
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axs[2].set_xlabel('f [GHz]')
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axs[2].set_ylim(-np.pi,+np.pi)
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@ -102,11 +106,19 @@ if __name__ == "__main__":
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pattr = 'E'+str(p)
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if p == 'b':
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pattr = 'beacon'
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elif p == 'n':
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pattr = 'noise'
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elif p == 'AxB':
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pattr = 'E_AxB'
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elif p =='b+n':
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mydict[p] = getattr(ant,'noise') + beacon_amp*getattr(ant, 'beacon')
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continue
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mydict[p] = getattr(ant, pattr)
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if 'b' in mydict:
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mydict['b'] *= beacon_amp
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for j, (direction, trace) in enumerate(mydict.items()):
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l = axs[0].plot(ant.t, trace, label=f"$E_{{{direction}}}$ {ant.name}", alpha=0.7)
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@ -118,26 +130,38 @@ if __name__ == "__main__":
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if not plot_ft_amplitude:
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continue
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freqs = ft.fftfreq(n_samples, 1/samplerate)[:n_samples//2]
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fft = 2*ft.fft(trace)[:n_samples//2]/n_samples
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fft, freqs = lib.get_freq_spec(trace, 1/samplerate)
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#axs[1].plot(freqs, np.abs(fft)**2, color=l[0].get_color())
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axs[1].plot(freqs, np.abs(fft)**2, color=l[0].get_color())
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if True:
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cft = lib.direct_fourier_transform(f_beacon, ant.t, trace)
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amp = 2*len(ant.t) * (cft[0]**2 + cft[1]**2)
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amp = (cft[0]**2 + cft[1]**2)
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#axs[0].axhline(amp, color=l[0].get_color())
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print(amp)
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phase = np.arctan2(cft[0],cft[1])
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axs[1].plot(f_beacon, amp, color=l[0].get_color(), marker='3', alpha=0.8, ms=30)
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if len(axs) > 2:
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axs[2].plot(f_beacon, phase, color=l[0].get_color(), marker='3', alpha=0.8, ms=30)
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if plot_ft_amplitude:
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fig1.legend(loc='center right', ncol=min(2, len(idx)))
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else:
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axs[0].legend(loc='upper right', ncol=min(3, len(idx)))
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# Keep trace plot symmetric around 0
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max_lim = max(np.abs(axs[0].get_ylim()))
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axs[0].set_ylim(-max_lim, max_lim)
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# Keep spectrum between 0 and 100 MHz
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if len(axs) > 1:
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xlims = axs[1].get_xlim()
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axs[1].set_xlim(max(0, xlims[0]), min(0.1, xlims[1]))
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if False: # extra zoom
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axs[1].set_xlim(f_beacon - 0.01, f_beacon + 0.01)
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if fig_dir:
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fig1.savefig(path.join(fig_dir, path.basename(__file__) + f".trace{name_dist}.pdf"))
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