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ZH: findks:: sum-maxima figure + shower_plane location in titling

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Eric Teunis de Boone 2023-04-28 18:02:27 +02:00
parent 82a33bd84c
commit d0320298c2
1 changed files with 30 additions and 4 deletions
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34
airshower_beacon_simulation/ca_period_from_shower.py
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@ -20,7 +20,7 @@ import aa_generate_beacon as beacon
import lib import lib
from lib import rit from lib import rit
def find_best_period_shifts_summing_at_location(test_loc, antennas, allowed_ks, period=1, dt=None, period_shift_first_trace=0, plot_iteration_with_shifted_trace=None, fig_dir=None, fig_distinguish=None,snr_str=None): def find_best_period_shifts_summing_at_location(test_loc, antennas, allowed_ks, period=1, dt=None, period_shift_first_trace=0, plot_iteration_with_shifted_trace=None, fig_dir=None, fig_distinguish=None,snr_str=None, shower_plane_loc=None):
""" """
Find the best sample_shift for each antenna by summing the antenna traces Find the best sample_shift for each antenna by summing the antenna traces
and seeing how to get the best alignment. and seeing how to get the best alignment.
@ -81,11 +81,21 @@ def find_best_period_shifts_summing_at_location(test_loc, antennas, allowed_ks,
# init figure # init figure
if i in plot_iteration_with_shifted_trace: if i in plot_iteration_with_shifted_trace:
fig, ax = plt.subplots(figsize=figsize) fig, ax = plt.subplots(figsize=figsize)
ax.set_title("Traces at ({:.1g},{:.1g},{:.1g}); i={i}/{tot}".format(*test_loc, i=i, tot=N_ant)) if shower_plane_loc is not None:
title_location = "s({:.1g},{:.1g},{:.1g})".format(*shower_plane_loc)
else:
title_location = "({.1g},{:.1g},{:.1g})".format(*test_loc)
ax.set_title("Traces at {}; i={i}/{tot}".format(title_location, i=i, tot=N_ant))
ax.set_xlabel("Time [ns]") ax.set_xlabel("Time [ns]")
ax.set_ylabel("Amplitude") ax.set_ylabel("Amplitude")
ax.plot(t_sum, a_sum) ax.plot(t_sum, a_sum)
fig2, ax2 = plt.subplots(figsize=figsize)
ax2.set_title("Maxima at {}; i={i}/{tot}".format(title_location, i=i, tot=N_ant))
ax2.set_xlabel("$k$th Period")
ax2.set_ylabel("Summed Amplitude")
ax2.plot(0, np.max(a_sum), marker='*', label='trace_sum', ls='none', ms=20)
# find the maxima for each period shift k # find the maxima for each period shift k
shift_maxima = np.zeros( len(allowed_ks) ) shift_maxima = np.zeros( len(allowed_ks) )
for j, k in enumerate(allowed_ks): for j, k in enumerate(allowed_ks):
@ -95,6 +105,7 @@ def find_best_period_shifts_summing_at_location(test_loc, antennas, allowed_ks,
if i in plot_iteration_with_shifted_trace and abs(k) <= 3: if i in plot_iteration_with_shifted_trace and abs(k) <= 3:
ax.plot(t_sum, augmented_a, alpha=0.7, ls='dashed', label=f'{k:g}') ax.plot(t_sum, augmented_a, alpha=0.7, ls='dashed', label=f'{k:g}')
ax2.plot(k, shift_maxima[j], marker='o', ls='none', ms=20)
# transform maximum into best_sample_shift # transform maximum into best_sample_shift
best_idx = np.argmax(shift_maxima) best_idx = np.argmax(shift_maxima)
@ -105,13 +116,26 @@ def find_best_period_shifts_summing_at_location(test_loc, antennas, allowed_ks,
# cleanup figure # cleanup figure
if i in plot_iteration_with_shifted_trace: if i in plot_iteration_with_shifted_trace:
# plot the traces
if True: # plot best k again if True: # plot best k again
ax.plot(t_sum, best_augmented_a, alpha=0.8, label=f'best $k$={best_period_shifts[i]:g}', lw=2) ax.plot(t_sum, best_augmented_a, alpha=0.8, label=f'best $k$={best_period_shifts[i]:g}', lw=2)
if True: # plot best shift
ax2.plot(allowed_ks[best_idx], shift_maxima[best_idx], marker='*', ls='none', ms=20, label=f'best $k$={best_period_shifts[i]:g}')
ax.legend(title='period shift $k$; '+snr_str, ncol=5 ) ax.legend(title='period shift $k$; '+snr_str, ncol=5 )
ax2.legend(title=snr_str)
if fig_dir: if fig_dir:
fig.tight_layout() fig.tight_layout()
fname = path.join(fig_dir, path.basename(__file__) + f'.{fig_distinguish}i{i}' + '.loc{:.1f}-{:.1f}-{:.1f}'.format(*test_loc)) fig2.tight_layout()
if shower_plane_loc is not None:
fname_location = '.sloc{:.1g}-{:.1g}-{:.1g}'.format(*shower_plane_loc)
else:
fname_location = '.loc{:.1f}-{:.1f}-{:.1f}'.format(*test_loc)
fname = path.join(fig_dir, path.basename(__file__) + f'.{fig_distinguish}i{i}' + fname_location)
if True: if True:
old_xlim = ax.get_xlim() old_xlim = ax.get_xlim()
@ -130,7 +154,9 @@ def find_best_period_shifts_summing_at_location(test_loc, antennas, allowed_ks,
ax.set_xlim(*old_xlim) ax.set_xlim(*old_xlim)
fig.savefig(fname + ".pdf") fig.savefig(fname + ".pdf")
fig2.savefig(fname + ".maxima.pdf")
plt.close(fig) plt.close(fig)
plt.close(fig2)
# sort by antenna (undo sorting by maximum) # sort by antenna (undo sorting by maximum)
undo_sort_idx = np.argsort(sort_idx) undo_sort_idx = np.argsort(sort_idx)
@ -413,7 +439,7 @@ if __name__ == "__main__":
ks_per_loc[i], maxima_per_loc[i] = find_best_period_shifts_summing_at_location(test_loc, ev.antennas, allowed_ks, period=1/f_beacon, dt=dt, ks_per_loc[i], maxima_per_loc[i] = find_best_period_shifts_summing_at_location(test_loc, ev.antennas, allowed_ks, period=1/f_beacon, dt=dt,
plot_iteration_with_shifted_trace=[ 5, len(ev.antennas)-1], plot_iteration_with_shifted_trace=[ 5, len(ev.antennas)-1],
fig_dir=tmp_fig_subdir, fig_distinguish=f"run{r}.", fig_dir=tmp_fig_subdir, fig_distinguish=f"run{r}.",
snr_str=snr_str) snr_str=snr_str,shower_plane_loc=((x_+xoff)/1e3, (y_+yoff)/1e3, dXref))
xx = np.array(xx) xx = np.array(xx)
yy = np.array(yy) yy = np.array(yy)