m-thesis-introduction/airshower_beacon_simulation/lib/tests/test_calculated_phase_measurement.py

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#!/usr/bin/env python3
"""
Test the functions in lib concerning
beacon generation and removing the geometrical phase
work correctly together.
"""
import matplotlib.pyplot as plt
import numpy as np
from earsim import Antenna
import lib
seed = 12345
dt = 1 # ns
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frequency = 52.12345e-3 # GHz
N = 5e2
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t_clock = 0
beacon_amplitude = 1
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c_light = lib.c_light
t = np.arange(0, 10*int(1e3), dt, dtype=float)
rng = np.random.default_rng(seed)
tx = Antenna(x=0,y=0,z=0,name='tx')
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rx = Antenna(x=tx.x,y=tx.y,z=tx.z,name='rx')
# Vary both the base time and the phase
t_extra = 0
phase_res = np.zeros(int(N))
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amp_res = np.zeros(int(N))
for i in range(int(N)):
# Change timebase
t -= t_extra
t_extra = (2*rng.uniform(size=1) - 1) *1e3
t += t_extra
# Randomise Antenna Location
if True:
rx.x, rx.y, rx.z = (2*rng.uniform(size=3) -1) * 1e4
# Randomly phased beacon
# at Antenna
phase = lib.phase_mod(np.pi*(2*rng.uniform(size=1) -1)) # rad
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beacon = beacon_amplitude * lib.beacon_from(tx, rx, frequency, t, t0=0, phase=phase, peak_at_t0=False, c_light=c_light, radiate_rsq=False)
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if False: # blank part of the beacon
blank_low, blank_high = int(0.2*len(t)), int(0.4*len(t))
t_mask = np.ones(len(t), dtype=bool)
t_mask[blank_low:blank_high] = False
t = t[t_mask]
beacon = beacon[t_mask]
# Introduce clock errors
t += t_clock
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_, measured_phases, measured_amplitudes = lib.find_beacon_in_traces([beacon], t, frequency, frequency_fit=False)
t -= t_clock
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calculated_phases = lib.remove_antenna_geometry_phase(tx, rx, frequency, measured_phases, c_light=c_light)
# Save residuals
phase_res[i] = lib.phase_mod(calculated_phases[0] - phase)
amp_res[i] = measured_amplitudes[0] - beacon_amplitude
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###
## Present figures
###
phase2time = lambda x: x/(2*np.pi*frequency)
time2phase = lambda x: 2*np.pi*x*frequency
fig, ax = plt.subplots()
ax.set_title("Measured phase at Antenna - geometrical phase")
ax.set_xlabel("$\\varphi_{meas} - \\varphi_{true}$ [rad]")
ax.set_ylabel("#")
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ax.hist(phase_res, bins='sqrt')
if True:
ax.axvline( -1*lib.phase_mod(t_clock*frequency*2*np.pi), color='red', lw=5, alpha=0.8, label='true t_clock')
if True:
secax = ax.secondary_xaxis(1.0, functions=(phase2time, time2phase))
secax.set_xlabel('Time [ns]')
ax.legend(title='N={:.1e}'.format(len(t)))
phase_xlims = ax.get_xlim()
fig.tight_layout()
amp_xlims = None
if True:
fig, ax = plt.subplots()
ax.set_title("Amplitude")
ax.set_xlabel("$A_{meas} - 1$")
ax.set_ylabel("#")
ax.legend(title='N={:.1e}'.format(len(t)))
ax.hist(amp_res, bins='sqrt')
fig.tight_layout()
amp_xlims = ax.get_xlim()
if True:
fig, ax = plt.subplots()
ax.grid()
ax.set_xlabel("Phase Res [rad]")
ax.set_ylabel("Amplitude Res")
sc = ax.scatter( phase_res, amp_res )
#fig.colorbar(sc, ax=ax)
ax.set_xlim(phase_xlims)
if amp_xlims is not None:
ax.set_ylim(amp_xlims)
if True:
ax.axvline( -1*lib.phase_mod(t_clock*frequency*2*np.pi), color='red', lw=5, alpha=0.8, label='true t_clock')
if True:
secax = ax.secondary_xaxis(1.0, functions=(phase2time, time2phase))
secax.set_xlabel('Time [ns]')
ax.legend(title='N={:.1e}'.format(len(t)))
fig.tight_layout()
plt.show()