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ZH: more cli arguments to k-finding

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Eric Teunis de Boone 2023-02-02 19:27:01 +01:00
parent d6ae5d3334
commit ac97c96a41
3 changed files with 18 additions and 9 deletions
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2
simulations/airshower_beacon_simulation/Makefile
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@ -41,7 +41,7 @@ phases:
./bd_antenna_phase_deltas.py --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR}
findks:
./ca_period_from_shower.py --input-fname ${INPUT_DIR} --max-k ${MAX_K} --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR}
./ca_period_from_shower.py --input-fname ${INPUT_DIR} --max-k ${MAX_K} --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR} -l ${PB_LOW} -u ${PB_HIGH}
./cb_report_measured_antenna_time_offsets.py --no-show-plots --fig-dir=${FIG_DIR} --data-dir ${DATA_DIR}
vary-fixes:

4
simulations/airshower_beacon_simulation/aa_generate_beacon.py
View file

@ -282,8 +282,8 @@ if __name__ == "__main__":
# Bandpass
parser.add_argument('-p', '--use-passband', type=bool, default=True, help='(Default: %(default)d)')
parser.add_argument('-l', '--passband-low', type=float, default=30e-3, help='Lower frequency [GHz] of the passband filter. (set -1 for np.inf) (Default: %(default)d)')
parser.add_argument('-u', '--passband-high', type=float, default=80e-3, help='Upper frequency [GHz] of the passband filter. (set -1 for np.inf) (Default: %(default)d)')
parser.add_argument('-l', '--passband-low', type=float, default=30e-3, help='Lower frequency [GHz] of the passband filter. (set -1 for np.inf) (Default: %(default)g)')
parser.add_argument('-u', '--passband-high', type=float, default=80e-3, help='Upper frequency [GHz] of the passband filter. (set -1 for np.inf) (Default: %(default)g)')
# Trace length modification
parser.add_argument('-N', '--new-trace-length', type=float, help='resize airshower trace (Default: %(default)d)', default=1e4)

21
simulations/airshower_beacon_simulation/ca_period_from_shower.py
View file

@ -151,7 +151,14 @@ if __name__ == "__main__":
from scriptlib import MyArgumentParser
parser = MyArgumentParser(default_fig_dir="./figures/periods_from_shower_figures/")
parser.add_argument('--quick_run', action='store_true', help='Use a very coarse grid (6x6)')
parser.add_argument('--max-k', type=float, default=2, help='Maximum abs(k) allowed to be shifted. (Default: %(default)d)')
parser.add_argument('-N', '--N_runs', type=int, default=5, help='Maximum amount of iterations to grid search. (Default: %(default)d)')
parser.add_argument('-l', '--passband-low', type=float, default=30e-3, help='Lower frequency [GHz] of the passband filter. (set -1 for np.inf) (Default: %(default)g)')
parser.add_argument('-u', '--passband-high', type=float, default=80e-3, help='Upper frequency [GHz] of the passband filter. (set -1 for np.inf) (Default: %(default)g)')
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)')
args = parser.parse_args()
@ -171,10 +178,13 @@ if __name__ == "__main__":
allowed_ks = np.arange(-max_k, max_k+1, dtype=int)
Xref = 400
N_runs = 3
N_runs = args.N_runs
remove_beacon_from_trace = True
apply_signal_window_from_max = True
low_bp = args.passband_low if args.passband_low >= 0 else np.inf # GHz
high_bp = args.passband_high if args.passband_high >= 0 else np.inf # GHz
####
fname_dir = args.data_dir
antennas_fname = path.join(fname_dir, beacon.antennas_fname)
@ -207,7 +217,7 @@ if __name__ == "__main__":
f_beacon = ev.antennas[0].beacon_info[freq_name]['freq']
# Prepare polarisation and passbands
rit.set_pol_and_bp(ev, low=0.03, high=0.08)
rit.set_pol_and_bp(ev, low=low_bp, high=high_bp)
##
## Manipulate time and traces of each antenna
@ -303,14 +313,13 @@ if __name__ == "__main__":
scale2d = dXref*np.tan(np.deg2rad(2.))
scale4d = dXref*np.tan(np.deg2rad(4.))
if False: #quicky
x_coarse = np.linspace(-scale2d, scale2d, 4)
y_coarse = np.linspace(-scale2d, scale2d, 4)
if args.quick_run: #quicky
x_coarse = np.linspace(-scale2d, scale2d, 6)
y_coarse = np.linspace(-scale2d, scale2d, 6)
x_fine = x_coarse/4
y_fine = y_coarse/4
else: # long
N_runs = 5
x_coarse = np.linspace(-scale4d, scale4d, 40)
y_coarse = np.linspace(-scale4d, scale4d, 40)