2022-09-28 15:10:59 +02:00
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#!/usr/bin/env python3
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2022-11-14 20:49:35 +01:00
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# vim: fdm=indent ts=4
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"""
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Add a uniformly sampled time offset
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to the clock of each antenna.
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"""
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2022-09-28 15:10:59 +02:00
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import numpy as np
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import json
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import h5py
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2022-11-10 12:04:31 +01:00
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import aa_generate_beacon as beacon
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2022-09-28 15:10:59 +02:00
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clocks_fname = 'clocks.csv'
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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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2023-01-13 17:07:18 +01:00
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from argparse import ArgumentParser
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parser = ArgumentParser()
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parser.add_argument('max_clock_offset', nargs='?', type=float, default=25, help='(Default: %(default)d)')
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parser.add_argument('--uniform', action='store_const', const='uniform', dest='dist_type')
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parser.add_argument('--gaussian', action='store_const', const='gauss', dest='dist_type')
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parser.set_defaults(dist_type='gauss')
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args = parser.parse_args()
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max_clock_offset = args.max_clock_offset # ns
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2022-11-14 20:49:35 +01:00
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remake_clock_offsets = True
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2022-09-28 15:10:59 +02:00
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seed = 12345
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rng = np.random.default_rng(seed)
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fname = "ZH_airshower/mysim.sry"
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####
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fname_dir = path.dirname(fname)
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clocks_fname = path.join(fname_dir, clocks_fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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if path.isfile(clocks_fname) and not remake_clock_offsets:
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print("Clock offsets previously generated")
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sys.exit()
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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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2022-11-25 11:49:55 +01:00
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2022-09-28 15:10:59 +02:00
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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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2022-09-28 15:54:11 +02:00
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print("Antenna file corrupted? no antennas")
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2022-09-28 15:10:59 +02:00
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sys.exit(1)
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group = fp['antennas']
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N_antennas = len(group.keys())
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2022-12-15 15:10:42 +01:00
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if True:
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2022-12-15 15:08:55 +01:00
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print(f"Modifying clocks upto {max_clock_offset}ns.")
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clock_offsets = np.zeros( N_antennas )
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2023-01-13 17:07:18 +01:00
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if args.dist_type == 'uniform': # uniform
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2022-12-15 15:08:55 +01:00
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print("Uniform distribution")
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clock_offsets = max_clock_offset * (2*rng.uniform(size=N_antennas) - 1)
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else: # normal
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print("Gaussian distribution")
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clock_offsets = max_clock_offset * rng.normal(0, 1, size=N_antennas)
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else: # Hardcoded offsets
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print("Hardcoded offsets")
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f_beacon = 51.53e-3 # GHz
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clock_offsets = np.zeros( N_antennas )
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if False:
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clock_offsets[59] = np.pi/2 / (2*np.pi*f_beacon)
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elif True:
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clock_offsets += 1/8 * 1/f_beacon
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print(clock_offsets)
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2022-09-28 15:10:59 +02:00
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# modify time values of each antenna
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2023-02-01 14:12:12 +01:00
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trace_key = 'filtered_traces'
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2022-09-28 15:10:59 +02:00
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for i, name in enumerate(group.keys()):
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2022-11-22 11:14:53 +01:00
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h5ant = group[name]
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2022-09-28 15:10:59 +02:00
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clk_offset = clock_offsets[i]
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2023-02-01 14:12:12 +01:00
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if trace_key not in h5ant.keys():
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2022-09-28 15:54:11 +02:00
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print(f"Antenna file corrupted? no 'traces' in {name}")
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sys.exit(1)
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2022-11-22 11:14:53 +01:00
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h5ant_attrs = h5ant.attrs
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if 'clock_offset' in h5ant_attrs:
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tmp_offset = h5ant_attrs['clock_offset']
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2022-09-28 15:10:59 +02:00
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if remake_clock_offsets:
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2023-02-01 14:12:12 +01:00
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h5ant[trace_key][0, :] -= tmp_offset
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2022-12-15 15:09:44 +01:00
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h5ant['E_AxB'][0, :] -= tmp_offset
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2022-09-28 15:10:59 +02:00
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else:
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clock_offsets[i] = tmp_offset
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continue
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2022-11-22 11:14:53 +01:00
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h5ant_attrs['clock_offset'] = clk_offset
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2023-02-01 14:12:12 +01:00
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h5ant[trace_key][0, :] += clk_offset
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2022-12-15 15:09:44 +01:00
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h5ant['E_AxB'][0, :] += clk_offset
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2022-09-28 15:10:59 +02:00
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# save to simple csv
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np.savetxt(clocks_fname, clock_offsets)
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print("Antenna clocks modified in " + str(antennas_fname))
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