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https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
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ZH: add gaussian noise to traces when beaconing
Note that this is a single noise realisation that is added to the three traces. It will be ~3 times stronger for E_AxB
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0447df4f43
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1 changed files with 17 additions and 2 deletions
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@ -82,6 +82,8 @@ def Antenna_from_h5ant(h5ant, traces_key='traces', raise_exception=True, read_Ax
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ant.Ez = deepcopy(h5ant[traces_key][3])
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ant.Ez = deepcopy(h5ant[traces_key][3])
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if len(h5ant[traces_key]) > 4:
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if len(h5ant[traces_key]) > 4:
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ant.beacon = deepcopy(h5ant[traces_key][4])
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ant.beacon = deepcopy(h5ant[traces_key][4])
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if len(h5ant[traces_key]) > 5:
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ant.noise = deepcopy(h5ant[traces_key][5])
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# E_AxB
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# E_AxB
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if read_AxB and 'E_AxB' in h5ant:
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if read_AxB and 'E_AxB' in h5ant:
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@ -240,6 +242,8 @@ def write_baseline_time_diffs_hdf5(fname, baselines, true_phase_diffs, k_periods
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if __name__ == "__main__":
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if __name__ == "__main__":
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from os import path
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from os import path
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rng = np.random.default_rng()
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fname = "ZH_airshower/mysim.sry"
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fname = "ZH_airshower/mysim.sry"
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# Transmitter
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# Transmitter
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@ -276,6 +280,9 @@ if __name__ == "__main__":
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beacon_amplitudes *= ampl
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beacon_amplitudes *= ampl
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# Noise properties
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noise_sigma = 1e-4 # set to None to ignore
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# Disable block_filter
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# Disable block_filter
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if False:
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if False:
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block_filter = lambda x, dt, low, high: x
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block_filter = lambda x, dt, low, high: x
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@ -294,6 +301,7 @@ if __name__ == "__main__":
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print("Beacon amplitude at tx [muV/m]:", beacon_amplitudes)
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print("Beacon amplitude at tx [muV/m]:", beacon_amplitudes)
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print("Tx location:", [tx.x, tx.y, tx.z])
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print("Tx location:", [tx.x, tx.y, tx.z])
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print("Noise sigma:", noise_sigma)
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# read in antennas
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# read in antennas
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ev = REvent(fname)
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ev = REvent(fname)
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@ -328,13 +336,20 @@ if __name__ == "__main__":
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print(f"Modified trace lengths by {pre_N},{after_N-N_samples}")
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print(f"Modified trace lengths by {pre_N},{after_N-N_samples}")
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beacon = lib.beacon_from(tx, antenna, f_beacon, antenna.t, c_light=c_light, radiate_rsq=beacon_radiate_rsq)
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beacon = lib.beacon_from(tx, antenna, f_beacon, antenna.t, c_light=c_light, radiate_rsq=beacon_radiate_rsq)
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traces = np.array([antenna.Ex, antenna.Ey, antenna.Ez, beacon])
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# noise realisation
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noise_realisation = 0
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if noise_sigma is not None:
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noise_realisation = rng.normal(0, noise_sigma, size=len(beacon))
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# Collect all data to be saved (with the first 3 values the E fields)
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traces = np.array([antenna.Ex, antenna.Ey, antenna.Ez, beacon, noise_realisation])
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# add to relevant polarisation
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# add to relevant polarisation
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# and apply block filter
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# and apply block filter
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dt = antenna.t[1] - antenna.t[0]
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dt = antenna.t[1] - antenna.t[0]
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for j, amp in enumerate(beacon_amplitudes):
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for j, amp in enumerate(beacon_amplitudes):
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traces[j] = block_filter(traces[j] + amp*beacon, dt, low_bp, high_bp)
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traces[j] = block_filter(traces[j] + amp*beacon + noise_realisation, dt, low_bp, high_bp)
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append_antenna_hdf5( antennas_fname, antenna, traces, name='traces', prepend_time=True)
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append_antenna_hdf5( antennas_fname, antenna, traces, name='traces', prepend_time=True)
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