m-thesis-introduction/simulations/airshower_beacon_simulation/view_beaconed_antenna.py

#!/usr/bin/env python3

import numpy as np
import matplotlib.pyplot as plt
import numpy.fft as ft

import aa_generate_beacon as beacon
from view_orig_ant0 import plot_antenna_geometry
import lib
from earsim import Antenna


if __name__ == "__main__":
    from os import path
    import sys
    import matplotlib
    import os
    if os.name == 'posix' and "DISPLAY" not in os.environ:
        matplotlib.use('Agg')

    from scriptlib import MyArgumentParser
    parser = MyArgumentParser()
    parser.add_argument('ant_idx', default=[72], nargs='*', help='Antenna Indices')
    parser.add_argument('-p', '--polarisations', choices=['x', 'y', 'z', 'b', 'AxB'], action='append', help='Default: x,y,z')
    parser.add_argument('--geom', action='store_true', help='Make a figure containg the geometry from tx to antenna(s)')
    parser.add_argument('--ft', action='store_true', help='Add FT strenghts of antenna traces')

    args = parser.parse_args()

    fname = "ZH_airshower/mysim.sry"

    plot_ft_amplitude = args.ft
    plot_geometry = args.geom

    fig_dir = args.fig_dir
    show_plots = args.show_plots

    if not args.polarisations:
        args.polarisations = ['x','y', 'z']

    ####
    fname_dir = path.dirname(fname)
    antennas_fname = path.join(fname_dir, beacon.antennas_fname)

    f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)

    idx = args.ant_idx

    if not idx:
        if not True:
            idx = [0, 1, len(antennas)//2, len(antennas)//2+1, -2, -1]
        elif not True:
            idx = np.arange(1, 20, 2, dtype=int)
        elif True:
            # center 6 antennas
            names = [55, 56, 57, 65, 66, 45, 46]

            idx = [ i for i, ant in enumerate(antennas) if int(ant.name) in names ]

    fig1, axs = plt.subplots(1+plot_ft_amplitude*2)
    if not plot_ft_amplitude:
        axs = [axs]
    axs[0].set_xlabel('t [ns]')
    axs[0].set_ylabel('[$\mu$V/m]')
    if plot_ft_amplitude:
        axs[1].set_xlabel('f [GHz]')
        axs[1].set_ylabel('Power')

        axs[2].set_ylabel("Phase")
        axs[2].set_xlabel('f [GHz]')
        axs[2].set_ylim(-np.pi,+np.pi)

    colorlist = []
    for i in idx:
        ant = antennas[i]

        n_samples = len(ant.t)
        samplerate = (ant.t[-1] - ant.t[0])/n_samples

        axs[0].axvline(ant.t[0], color='k', alpha=0.5)

        mydict = {}
        for p in args.polarisations:
            pattr = 'E'+str(p)
            if p == 'b':
                pattr = 'beacon'
            elif p == 'AxB':
                pattr = 'E_AxB'

            mydict[p] = getattr(ant, pattr)

        for j, (direction, trace) in enumerate(mydict.items()):
            l = axs[0].plot(ant.t, trace, label=f"$E_{{{direction}}}$ {ant.name}", alpha=0.7)

            #if False and j == 0 and 't0' in ant.attrs:
            #    axs[0].axvline(ant.attrs['t0'], color=l[0].get_color(), alpha=0.5)

            colorlist.append(l[0].get_color())

            if not plot_ft_amplitude:
                continue

            freqs = ft.fftfreq(n_samples, 1/samplerate)[:n_samples//2]
            fft = 2*ft.fft(trace)[:n_samples//2]/n_samples

            #axs[1].plot(freqs, np.abs(fft)**2, color=l[0].get_color())

            if True:
                cft = lib.direct_fourier_transform(f_beacon, ant.t, trace)
                amp = 2*len(ant.t) * (cft[0]**2 + cft[1]**2)

                #axs[0].axhline(amp, color=l[0].get_color())

                print(amp)
                phase = np.arctan2(cft[0],cft[1])
                axs[1].plot(f_beacon, amp, color=l[0].get_color(), marker='3', alpha=0.8, ms=30)
                axs[2].plot(f_beacon, phase, color=l[0].get_color(), marker='3', alpha=0.8, ms=30)

    if plot_ft_amplitude:
        fig1.legend(loc='center right', ncol=min(2, len(idx)))
    else:
        axs[0].legend(loc='upper right', ncol=min(3, len(idx)))
    if fig_dir:
        fig1.savefig(path.join(fig_dir, path.basename(__file__) + f".trace.pdf"))

    if plot_geometry:
        if len(mydict) == 1:
            geom_colorlist = colorlist
        else:
            # only take the colour belonging to mydict[0]
            geom_colorlist = [ colorlist[len(mydict)*(i)] for i in range(len(colorlist)//len(mydict)) ]

        fig2, axs2 = plt.subplots(1)
        plot_antenna_geometry(antennas, ax=axs2, plot_max_values=False, color='grey', plot_names=False)
        plot_antenna_geometry([ antennas[i] for i in idx], ax=axs2, colors=geom_colorlist, plot_max_values=False)

        axs2.plot(tx.x, tx.y, marker='X', color='k')
        axs2.set_title("Geometry with selected antennas")
        if fig_dir:
            fig2.savefig(path.join(fig_dir, path.basename(__file__) + f".geom.pdf"))

    if show_plots:
        plt.show()