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ZH: gridpower with time offsets zooms on some shifted traces

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Eric Teunis de Boone 2023-02-01 17:10:20 +01:00
parent f698010ddf
commit 5ccba0158c
1 changed files with 38 additions and 4 deletions
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40
simulations/airshower_beacon_simulation/dc_grid_power_time_fixes.py
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@ -194,19 +194,49 @@ if __name__ == "__main__":
power_sort_idx = np.argsort(a_max)
N_plot = 30
for i, idx in enumerate(power_sort_idx):
for i, idx in enumerate(reversed(power_sort_idx)):
if i > N_plot:
break
alpha = max(0.7, 1/len(a_))
alpha = max(0.4, 1/len(a_))
axs.plot(t_[idx], a_[idx], color='r', alpha=alpha)
axs.plot(t_[idx], a_[idx], color='r', alpha=alpha, lw=2)
if fig_dir:
fig.tight_layout()
fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.trace_overlap.{case}.pdf'))
fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.trace_overlap.{case}.png'), transparent=True)
# Take center between t_low and t_high
if True:
orig_xlims = axs.get_xlim()
if not True: # t_high and t_low from strongest signal
t_low = np.min(t_[power_sort_idx[-1]])
t_high = np.max(t_[power_sort_idx[-1]])
else: # take t_high and t_low from plotted signals
a = [np.min(t_[idx]) for idx in power_sort_idx[-N_plot:]]
axs.plot(a, [0]*N_plot, 'gx', ms=10)
t_low = np.nanmin(a)
b = [np.max(t_[idx]) for idx in power_sort_idx[-N_plot:]]
axs.plot(b, [0]*N_plot, 'b+', ms=10)
t_high = np.nanmax(b)
center_x = (t_high - t_low)/2 + t_low
wx = 200
low_xlim = max(orig_xlims[0], center_x - wx)
high_xlim = min(orig_xlims[1], center_x + wx)
axs.set_xlim(low_xlim, high_xlim)
fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.trace_overlap.zoomed.{case}.pdf'))
fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.trace_overlap.zoomed.{case}.png'), transparent=True)
if True:
continue
# Measure power on grid
for scalename, scale in scales.items():
wx, wy = scale, scale
@ -223,3 +253,7 @@ if __name__ == "__main__":
if fig_dir:
fig.tight_layout()
fig.savefig(path.join(fig_dir, path.basename(__file__) + f'.X{X}.{case}.{scalename}.pdf'))
if args.show_plots:
plt.show()