mirror of
https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-12-22 19:43:30 +01:00
Eric Teunis de Boone
14a9fdb957
This is not required to be known when finding the phase as lib.find_beacon_in_traces already accounts for it.
250 lines
8.6 KiB
Python
Executable file
250 lines
8.6 KiB
Python
Executable file
#!/usr/bin/env python3
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# vim: fdm=indent ts=4
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"""
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Find beacon phases in antenna traces
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And save these to a file
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"""
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import h5py
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import matplotlib.pyplot as plt
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import numpy as np
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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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from os import path
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import sys
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import matplotlib
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import os
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if os.name == 'posix' and "DISPLAY" not in os.environ:
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matplotlib.use('Agg')
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f_beacon_band = (49e-3,55e-3) #GHz
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allow_frequency_fitting = False
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read_frequency_from_file = True
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use_AxB_trace = True if len(sys.argv) < 2 else bool(int(sys.argv[1]))
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use_beacon_trace = True # only applicable if AxB = False
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show_plots = True
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fname = "ZH_airshower/mysim.sry"
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print("use_AxB_trace:", use_AxB_trace, "use_beacon_trace:",use_beacon_trace)
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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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fig_dir = "./figures" # set None to disable saving
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if not path.isfile(antennas_fname):
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print("Antenna file cannot be found, did you try generating a beacon?")
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sys.exit(1)
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# read in antennas
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with h5py.File(antennas_fname, 'a') as fp:
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if 'antennas' not in fp.keys():
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print("Antenna file corrupted? no antennas")
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sys.exit(1)
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group = fp['antennas']
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f_beacon = None
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if read_frequency_from_file and 'tx' in fp:
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tx = fp['tx']
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if 'f_beacon' in tx.attrs:
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f_beacon = tx.attrs['f_beacon']
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else:
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print("No frequency found in file.")
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sys.exit(2)
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f_beacon_estimate_band = 0.01*f_beacon
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elif allow_frequency_fitting:
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f_beacon_estimate_band = (f_beacon_band[1] - f_beacon_band[0])/2
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f_beacon = f_beacon_band[1] - f_beacon_estimate_band
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else:
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print("Not allowed to fit frequency and no tx group found in file.")
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sys.exit(2)
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N_antennas = len(group.keys())
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# just for funzies
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found_data = np.zeros((N_antennas, 3))
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# Determine frequency and phase
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for i, name in enumerate(group.keys()):
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h5ant = group[name]
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# use E_AxB only instead of polarisations
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if use_AxB_trace:
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if 'E_AxB' not in h5ant.keys():
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print(f"Antenna does not have 'E_AxB' in {name}")
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sys.exit(1)
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traces = h5ant['E_AxB']
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t_trace = traces[0]
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test_traces = [ traces[1] ]
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orients = ['E_AxB']
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# TODO: refine masking
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# use beacon but remove where E_AxB-Beacon != 0
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if True:
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if not True:
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t_mask = np.isclose(h5ant['E_AxB'][1], h5ant['traces'][4], rtol=1e-3, atol=1e-3)
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else:
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t_mask = np.ones(len(t_trace), dtype=bool)
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t_mask[1500:3000] = False # magic numbers from aa_generate_beacon
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t_trace = t_trace[t_mask]
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for j, t in enumerate(test_traces):
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test_traces[j] = t[t_mask]
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orients[j] = orients[j] + ' masked'
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# use separate polarisations
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else:
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if 'traces' not in h5ant.keys():
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print(f"Antenna file corrupted? no 'traces' in {name}")
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sys.exit(1)
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traces = h5ant['traces']
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t_trace = traces[0]
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if use_beacon_trace:
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# only take the Beacon trace
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test_traces = [traces[4]]
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orients = ['B']
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else:
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test_traces = traces[1:]
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orients = ['Ex', 'Ey', 'Ez', 'B']
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# modify the length of the traces
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if False:
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t_trace = t_trace[:len(t_trace)//2]
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half_traces = []
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for trace in test_traces:
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half_traces.append( trace[:len(trace)//2])
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test_traces = half_traces
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# Do Fourier Transforms
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# to find phases and amplitudes
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if True:
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freqs, phases, amps = lib.find_beacon_in_traces(
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test_traces, t_trace,
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f_beacon_estimate=f_beacon,
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frequency_fit=allow_frequency_fitting,
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f_beacon_estimate_band=f_beacon_estimate_band
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)
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else:
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# Testing
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freqs = [f_beacon]
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t0 = h5ant.attrs['t0']
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phases = [ 2*np.pi*t0*f_beacon ]
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amps = [ 3e-7 ]
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# choose highest amp
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idx = 0
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if False and len(phases) > 1:
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#idx = np.argmax(amplitudes, axis=-1)
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raise NotImplementedError
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frequency = freqs[idx]
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phase = phases[idx]
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amplitude = amps[idx]
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orientation = orients[idx]
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# Correct for phase by t_trace[0]
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corr_phase = lib.phase_mod(2*np.pi*f_beacon*t_trace[0])
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if False:
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# Subtract phase due to not starting at t=0
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# This is already done in beacon_find_traces
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phase = lib.phase_mod(phase + corr_phase)
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# for reporting using plots
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found_data[i] = frequency, phase, amplitude
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if (show_plots or fig_dir) and (i == 0 or i == 72 or i == 70):
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p2t = lambda phase: phase/(2*np.pi*f_beacon)
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fig, ax = plt.subplots()
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ax.set_title(f"Beacon at antenna {h5ant.attrs['name']}\nF:{frequency:.2e}, P:{phase:.4f}, A:{amplitude:.1e}")
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ax.set_xlabel("t [ns]")
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ax.set_ylabel("Amplitude")
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if True:
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# let the trace start at t=0
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t_0 = min(t_trace)
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extra_phase = corr_phase
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else:
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t_0 = 0
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extra_phase = -1*corr_phase
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for j, trace in enumerate(test_traces):
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ax.plot(t_trace - t_0, test_traces[j], marker='.', label='trace '+orients[j])
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myt = np.linspace(min(t_trace), max(t_trace), 10*len(t_trace)) - t_0
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ax.plot(myt, lib.sine_beacon(frequency, myt, amplitude=amplitude, t0=0, phase=phase+extra_phase), ls='dotted', label='simulated beacon')
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ax.axvline( p2t(lib.phase_mod(-1*(phase+extra_phase), low=0)), color='r', ls='dashed', label='$t_\\varphi$')
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ax.axvline(0,color='grey',alpha=0.5)
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ax.axhline(0,color='grey',alpha=0.5)
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ax.legend()
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if fig_dir:
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old_xlims = ax.get_xlim()
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ax.set_xlim(min(t_trace)-t_0-10,min(t_trace)-t_0+40)
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fig.savefig(path.join(fig_dir, __file__ + f".A{h5ant.attrs['name']}.zoomed.pdf"))
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ax.set_xlim(*old_xlims)
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fig.savefig(path.join(fig_dir, __file__ + f".A{h5ant.attrs['name']}.pdf"))
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# save to file
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h5beacon_info = h5ant.require_group('beacon_info')
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# only take n_sig significant digits into account
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# for naming in hdf5 file
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n_sig = 3
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decimal = int(np.floor(np.log10(abs(frequency))))
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freq_name = str(np.around(frequency, n_sig-decimal))
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# delete previous values
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if freq_name in h5beacon_info:
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del h5beacon_info[freq_name]
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h5beacon_freq_info = h5beacon_info.create_group(freq_name)
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h5attrs = h5beacon_freq_info.attrs
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h5attrs['freq'] = frequency
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h5attrs['phase'] = phase
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h5attrs['amplitude'] = amplitude
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h5attrs['orientation'] = orientation
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print("Beacon Phases, Amplitudes and Frequencies written to", antennas_fname)
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# show histogram of found frequencies
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if show_plots or fig_dir:
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if True or allow_frequency_fitting:
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fig, ax = plt.subplots()
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ax.set_xlabel("Frequency")
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ax.set_ylabel("Counts")
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ax.axvline(f_beacon, ls='dashed', color='g')
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ax.hist(found_data[:,0], bins='sqrt', density=False)
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if fig_dir:
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fig.savefig(path.join(fig_dir, __file__ + f".hist_freq.pdf"))
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if True:
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fig, ax = plt.subplots()
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ax.set_xlabel("Amplitudes")
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ax.set_ylabel("Counts")
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ax.hist(found_data[:,2], bins='sqrt', density=False)
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if fig_dir:
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fig.savefig(path.join(fig_dir, __file__ + f".hist_amp.pdf"))
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if show_plots:
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plt.show()
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