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https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-12-22 11:33:32 +01:00
ZH: rename clock repair-all mode to repair-full
This commit is contained in:
parent
278d029f8e
commit
7eaa97d0cb
5 changed files with 22 additions and 15 deletions
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@ -79,8 +79,8 @@ vary-fixes:
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#
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#
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reconstruct:
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reconstruct:
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./da_reconstruction.py --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR} --input-fname ${INPUT_DIR}
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./da_reconstruction.py --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR} --input-fname ${INPUT_DIR} --clock-repair full
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./db_longitudinal_figure.py --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR}
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./db_longitudinal_figure.py --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR} --clock-repair full
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dist-clean:
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dist-clean:
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rm -vf ${DATA_DIR}/
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rm -vf ${DATA_DIR}/
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@ -22,8 +22,8 @@ beacon_snr_fname = 'beacon_snr.json'
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airshower_snr_fname = 'airshower_snr.json'
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airshower_snr_fname = 'airshower_snr.json'
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c_light = lib.c_light
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c_light = lib.c_light
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def read_antenna_clock_repair_offsets(antennas, mode='all', freq_name=None):
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def read_antenna_clock_repair_offsets(antennas, mode='full', freq_name=None):
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valid_modes = ['orig', 'ks', 'phases', 'all']
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valid_modes = ['orig', 'ks', 'phases', 'full']
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time_offsets = []
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time_offsets = []
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for i, ant in enumerate(antennas):
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for i, ant in enumerate(antennas):
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@ -32,6 +32,7 @@ if __name__ == "__main__":
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from scriptlib import MyArgumentParser
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from scriptlib import MyArgumentParser
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parser = MyArgumentParser()
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parser = MyArgumentParser()
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parser.add_argument('--input-fname', type=str, default=None, help='Path to mysim.sry, either directory or path. If empty it takes DATA_DIR and appends mysim.sry. (Default: %(default)s)')
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parser.add_argument('--input-fname', type=str, default=None, help='Path to mysim.sry, either directory or path. If empty it takes DATA_DIR and appends mysim.sry. (Default: %(default)s)')
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parser.add_argument('--clock-repair', type=str, default='full', choices=['orig', 'ks', 'phases', 'full'], help='How to repair the clock offsets. (Default: %(default)s)')
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args = parser.parse_args()
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args = parser.parse_args()
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if not args.input_fname:
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if not args.input_fname:
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@ -43,7 +44,8 @@ if __name__ == "__main__":
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figsize = (12,8)
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figsize = (12,8)
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fig_dir = args.fig_dir
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fig_dir = args.fig_dir
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fig_subdir = path.join(fig_dir, 'reconstruction')
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clock_repair_mode = args.clock_repair
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fig_subdir = path.join(fig_dir, 'reconstruction', clock_repair_mode)
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show_plots = args.show_plots
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show_plots = args.show_plots
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apply_signal_window_from_max = True
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apply_signal_window_from_max = True
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@ -52,7 +54,7 @@ if __name__ == "__main__":
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####
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####
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fname_dir = args.data_dir
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fname_dir = args.data_dir
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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pickle_fname = path.join(fname_dir, 'res.pkl')
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pickle_fname = path.join(fname_dir, 'res-'+clock_repair_mode+'.pkl')
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tx_fname = path.join(fname_dir, beacon.tx_fname)
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tx_fname = path.join(fname_dir, beacon.tx_fname)
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beacon_snr_fname = path.join(fname_dir, beacon.beacon_snr_fname)
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beacon_snr_fname = path.join(fname_dir, beacon.beacon_snr_fname)
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@ -82,7 +84,7 @@ if __name__ == "__main__":
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f_beacon = ev.antennas[0].beacon_info[freq_name]['freq']
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f_beacon = ev.antennas[0].beacon_info[freq_name]['freq']
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# Repair clock offsets with the measured offsets
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# Repair clock offsets with the measured offsets
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measured_repair_offsets = beacon.read_antenna_clock_repair_offsets(ev.antennas, mode='phases', freq_name=freq_name)
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measured_repair_offsets = beacon.read_antenna_clock_repair_offsets(ev.antennas, mode=clock_repair_mode, freq_name=freq_name)
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for i, ant in enumerate(ev.antennas):
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for i, ant in enumerate(ev.antennas):
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# t_AxB will be set by the rit.set_pol_and_bp function
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# t_AxB will be set by the rit.set_pol_and_bp function
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ev.antennas[i].orig_t = ev.antennas[i].t
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ev.antennas[i].orig_t = ev.antennas[i].t
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@ -201,7 +203,11 @@ if __name__ == "__main__":
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fig.savefig(path.join(fig_dir, path.basename(__file__)+f'.traces.A{i}.pdf'))
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fig.savefig(path.join(fig_dir, path.basename(__file__)+f'.traces.A{i}.pdf'))
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N_X, Xlow, Xhigh = 23, 100, 1200
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if False: # very fine grid
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N_X, Xlow, Xhigh = 23, 100, 1200
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else:
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N_X, Xlow, Xhigh = 6, 200, 1200
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with joblib.parallel_backend("loky"):
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with joblib.parallel_backend("loky"):
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res = rit.reconstruction(ev, outfile=fig_subdir+'/fig.pdf', slice_outdir=fig_subdir+'/', Xlow=Xlow, N_X=N_X, Xhigh=Xhigh, disable_pol_and_bp=True)
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res = rit.reconstruction(ev, outfile=fig_subdir+'/fig.pdf', slice_outdir=fig_subdir+'/', Xlow=Xlow, N_X=N_X, Xhigh=Xhigh, disable_pol_and_bp=True)
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@ -26,15 +26,17 @@ if __name__ == "__main__":
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from scriptlib import MyArgumentParser
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from scriptlib import MyArgumentParser
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parser = MyArgumentParser()
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parser = MyArgumentParser()
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parser.add_argument('--clock-repair', type=str, default='full', choices=['orig', 'ks', 'phases', 'full'], help='How to repair the clock offsets. (Default: %(default)s)')
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args = parser.parse_args()
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args = parser.parse_args()
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fig_dir = args.fig_dir
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fig_dir = args.fig_dir
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clock_repair_mode = args.clock_repair
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show_plots = args.show_plots
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show_plots = args.show_plots
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####
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####
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fname_dir = args.data_dir
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fname_dir = args.data_dir
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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pickle_fname = path.join(fname_dir, 'res.pkl')
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pickle_fname = path.join(fname_dir, 'res-'+clock_repair_mode+'.pkl')
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# create fig_dir
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# create fig_dir
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if fig_dir:
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if fig_dir:
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@ -53,4 +55,4 @@ if __name__ == "__main__":
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fig = rit.longitudinal_figure(res.dl[0], res.dX[0], res.profile_rit[0], mode=mode)
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fig = rit.longitudinal_figure(res.dl[0], res.dX[0], res.profile_rit[0], mode=mode)
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if fig_dir:
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if fig_dir:
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".{mode}.pdf"))
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".{clock_repair_mode}.{mode}.pdf"))
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@ -79,7 +79,7 @@ def save_overlapping_traces_figure(test_location, ev, N_plot = 30, wx=200, title
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return fig
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return fig
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if __name__ == "__main__":
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if __name__ == "__main__":
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valid_cases = ['no_offset', 'repair_none', 'repair_phases', 'repair_all']
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valid_cases = ['no_offset', 'repair_none', 'repair_phases', 'repair_full']
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import sys
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import sys
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import os
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import os
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@ -121,7 +121,6 @@ if __name__ == "__main__":
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####
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####
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fname_dir = args.data_dir
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fname_dir = args.data_dir
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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pickle_fname = path.join(fname_dir, 'res.pkl')
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tx_fname = path.join(fname_dir, beacon.tx_fname)
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tx_fname = path.join(fname_dir, beacon.tx_fname)
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beacon_snr_fname = path.join(fname_dir, beacon.beacon_snr_fname)
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beacon_snr_fname = path.join(fname_dir, beacon.beacon_snr_fname)
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@ -165,7 +164,7 @@ if __name__ == "__main__":
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'no_offset': "no clock offset",
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'no_offset': "no clock offset",
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'repair_none': "unrepaired clock offset",
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'repair_none': "unrepaired clock offset",
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'repair_phases': "phase resolved clock offsets repaired",
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'repair_phases': "phase resolved clock offsets repaired",
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'repair_all': "final measured clock offsets repaired"
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'repair_full': "final measured clock offsets repaired"
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}
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}
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# For now only implement using one freq_name
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# For now only implement using one freq_name
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@ -248,7 +247,7 @@ if __name__ == "__main__":
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for case in wanted_cases:
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for case in wanted_cases:
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print(f"Starting {case} figure")
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print(f"Starting {case} figure")
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# Repair clock offsets with the measured offsets
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# Repair clock offsets with the measured offsets
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transl_modes = {'no_offset':'orig', 'repair_phases':'phases', 'repair_all':'all'}
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transl_modes = {'no_offset':'orig', 'repair_phases':'phases', 'repair_full':'full'}
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if case in transl_modes:
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if case in transl_modes:
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transl_mode = transl_modes[case]
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transl_mode = transl_modes[case]
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@ -310,7 +309,7 @@ if __name__ == "__main__":
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#
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#
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# and plot overlapping traces at two other locations
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# and plot overlapping traces at two other locations
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#
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#
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if True:
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if False:
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for dist in [ 0.5, 5, 10, 50, 100]:
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for dist in [ 0.5, 5, 10, 50, 100]:
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# only add distance horizontally
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# only add distance horizontally
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location = maxp_loc + np.sqrt(dist*1e3)*np.array([1,1,0])
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location = maxp_loc + np.sqrt(dist*1e3)*np.array([1,1,0])
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