ericteunis/m-thesis-introduction
1
0
Fork 0
mirror of https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git synced 2024-12-22 03:23:34 +01:00
Code Issues Projects Releases Packages Wiki Activity

ZH: fixup to 1d6f0d3b

Browse source 
Missing path.basename for some figures and datafiles
This commit is contained in:
Eric Teunis de Boone 2023-01-16 17:49:40 +01:00
parent 88e172e9bf
commit 1e7c469bb8
2 changed files with 6 additions and 6 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
simulations/airshower_beacon_simulation/bb_measure_true_phase.py
View file

@ -140,7 +140,7 @@ if __name__ == "__main__":
fig.colorbar(sc, ax=ax, label=color_label) fig.colorbar(sc, ax=ax, label=color_label)
if fig_dir: if fig_dir:
fig.savefig(path.join(fig_dir, __file__ + f".residual.F{freq_name}.pdf")) fig.savefig(path.join(fig_dir, path.basename(__file__) + f".residual.F{freq_name}.pdf"))
print(f"True phases written to", antennas_fname) print(f"True phases written to", antennas_fname)

10
simulations/airshower_beacon_simulation/ca_period_from_shower.py
View file

@ -339,7 +339,7 @@ if __name__ == "__main__":
locs = list(zip(xx, yy)) locs = list(zip(xx, yy))
## Save maxima to file ## Save maxima to file
np.savetxt(fig_dir + __file__+f'.maxima.run{r}.txt', np.column_stack((locs, maxima_per_loc, ks_per_loc)) ) np.savetxt(path.join(fig_dir, path.basename(__file__)+f'.maxima.run{r}.txt'), np.column_stack((locs, maxima_per_loc, ks_per_loc)) )
if True: #plot maximum at test locations if True: #plot maximum at test locations
fig, axs = plt.subplots() fig, axs = plt.subplots()
@ -358,11 +358,11 @@ if __name__ == "__main__":
old_xlims = axs.get_xlim() old_xlims = axs.get_xlim()
old_ylims = axs.get_ylim() old_ylims = axs.get_ylim()
fig.tight_layout() fig.tight_layout()
fig.savefig(path.join(fig_dir, __file__+f'.maxima.run{r}.pdf')) fig.savefig(path.join(fig_dir, path.basename(__file__)+f'.maxima.run{r}.pdf'))
if False: if False:
axs.plot(tx.x/1e3, tx.y/1e3, marker='X', color='k') axs.plot(tx.x/1e3, tx.y/1e3, marker='X', color='k')
fig.tight_layout() fig.tight_layout()
fig.savefig(path.join(fig_dir, __file__+f'.maxima.run{r}.with_tx.pdf')) fig.savefig(path.join(fig_dir, path.basename(__file__)+f'.maxima.run{r}.with_tx.pdf'))
axs.set_xlim(*old_xlims) axs.set_xlim(*old_xlims)
axs.set_ylim(*old_ylims) axs.set_ylim(*old_ylims)
fig.tight_layout() fig.tight_layout()
@ -375,7 +375,7 @@ if __name__ == "__main__":
print('Best k:', best_k) print('Best k:', best_k)
## Save best ks to file ## Save best ks to file
np.savetxt(fig_dir + __file__+f'.bestk.run{r}.txt', best_k ) np.savetxt(path.join(fig_dir, path.basename(__file__)+f'.bestk.run{r}.txt'), best_k )
## Do a small reconstruction of the shower for best ks ## Do a small reconstruction of the shower for best ks
if True: if True:
@ -424,7 +424,7 @@ if __name__ == "__main__":
fname_extra = "max_amp" fname_extra = "max_amp"
fig.tight_layout() fig.tight_layout()
fig.savefig(path.join(fig_dir, __file__+f'.reconstruction.run{r}.{fname_extra}.pdf')) fig.savefig(path.join(fig_dir, path.basename(__file__)+f'.reconstruction.run{r}.{fname_extra}.pdf'))
# Abort if no improvement # Abort if no improvement
if ( r!= 0 and (old_ks_per_loc == ks_per_loc[best_idx]).all() ): if ( r!= 0 and (old_ks_per_loc == ks_per_loc[best_idx]).all() ):