From 9b7aa02e78a85d275ba5f44e429c33b44d64ac2b Mon Sep 17 00:00:00 2001 From: Eric Teunis de Boone Date: Fri, 2 Dec 2022 19:07:46 +0100 Subject: [PATCH] ZH: new script to check phase residuals --- .../bc_phase_sigmas.py | 120 ++++++++++++++++++ 1 file changed, 120 insertions(+) diff --git a/simulations/airshower_beacon_simulation/bc_phase_sigmas.py b/simulations/airshower_beacon_simulation/bc_phase_sigmas.py index e69de29..b69bc9c 100755 --- a/simulations/airshower_beacon_simulation/bc_phase_sigmas.py +++ b/simulations/airshower_beacon_simulation/bc_phase_sigmas.py @@ -0,0 +1,120 @@ +#!/usr/bin/env python3 +# vim: fdm=indent ts=4 + +import h5py +from itertools import combinations, zip_longest +import matplotlib.pyplot as plt +import numpy as np + +import aa_generate_beacon as beacon +import lib + + +if __name__ == "__main__": + from os import path + import sys + + fname = "ZH_airshower/mysim.sry" + c_light = 3e8*1e-9 + show_plots = not True + ref_ant_id = None # leave None for all baselines + + #### + fname_dir = path.dirname(fname) + antennas_fname = path.join(fname_dir, beacon.antennas_fname) + time_diffs_fname = 'time_diffs.hdf5' if not True else antennas_fname + + if not path.isfile(antennas_fname): + print("Antenna file cannot be found, did you try generating a beacon?") + sys.exit(1) + + # Read in antennas from file + f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname) + + # run over all baselines + if ref_ant_id is None: + print("Doing all baselines") + baselines = list(combinations(antennas,2)) + # use ref_ant + else: + ref_ant = antennas[ref_ant_id] + print(f"Doing all baselines with {ref_ant.name}") + baselines = list(zip_longest([], antennas, fillvalue=ref_ant)) + + # For now, only one beacon_frequency is supported + freq_names = antennas[0].beacon_info.keys() + if len(freq_names) > 1: + raise NotImplementedError + + freq_name = next(iter(freq_names)) + + # Get phase difference per baseline + phase_diffs = np.empty( (len(baselines), 2) ) + for i, base in enumerate(baselines): + if i%50==0: + print(i, "out of", len(baselines)) + + # read f_beacon from the first antenna + f_beacon = base[0].beacon_info[freq_name]['freq'] + + # Get true phase diffs + try: + + true_phases = np.array([ant.beacon_info[freq_name]['phase'] for ant in base]) + true_phases_diff = lib.phase_mod(lib.phase_mod(true_phases[1]) - lib.phase_mod(true_phases[0])) + except IndexError: + # true_phase not determined yet + print(f"Missing true_phases for {freq_name} in baseline {base[0].name},{base[1].name}") + true_phases_diff = np.nan + + # save phase difference with antenna names + phase_diffs[i] = [f_beacon, true_phases_diff] + + # Read actual phases from antenna hdf5 + actual_antenna_phases = { a.name: 2*np.pi*a.attrs['clock_offset']*f_beacon for a in antennas } + + + # Compare actual time shifts + my_phase_diffs = [] + for i,b in enumerate(baselines): + actual_phase_diff = lib.phase_mod( lib.phase_mod(actual_antenna_phases[b[1].name]) - lib.phase_mod(actual_antenna_phases[b[0].name])) + + if True: # remove time axis phase difference + t0s = np.array([ant.t_AxB[0] for ant in base]) + delta_t0 = t0s[1] - t0s[1] + actual_phase_diff = lib.phase_mod( actual_phase_diff - lib.phase_mod(delta_t0*2*np.pi*f_beacon)) + my_phase_diffs.append(actual_phase_diff) + + # Make a plot + if True: + N_base = len(baselines) + N_ant = len(antennas) + + phase_residuals = lib.phase_mod(phase_diffs[:,1] - my_phase_diffs) + + fig, axs = plt.subplots(2, 1, sharex=True) + axs[0].set_title("Measured phase difference - Actual phase difference") + axs[0].set_xlabel("Phase residuals $\\varphi$") + + if True: + forward = lambda x: x/(2*np.pi*f_beacon) + inverse = lambda x: 2*np.pi*x*f_beacon + secax = axs[0].secondary_xaxis('top', functions=(forward, inverse)) + secax.set_xlabel('$\\varphi/(2\\pi f_{beacon})$ [ns]') + + i=0 + axs[i].set_ylabel("#") + axs[i].hist(phase_residuals, bins='sqrt', density=False) + + i=1 + axs[i].set_ylabel("Baseline combination #") + if not True: + axs[i].plot(my_phase_diffs, np.arange(N_base), ls='none', marker='+', label='actual time shifts') + l = axs[i].plot(phase_diffs[:,1], np.arange(N_base), ls='none', marker='x', label='calculated') + + axs[i].legend() + + else: + axs[i].plot(phase_residuals, np.arange(N_base), ls='none', marker='x') + + plt.show()