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cleanup and bugfix in viz dl2 #279

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merged 11 commits into from
May 8, 2020
Merged

cleanup and bugfix in viz dl2 #279

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a21c2cb
cleanup and bugfix in viz dl2
vuillaut Feb 4, 2020
4d2cbc0
add docstring for energy results
vuillaut Feb 4, 2020
fdc986e
ours
vuillaut May 6, 2020
20b9d8d
fix ctaplot version
vuillaut May 8, 2020
95e5363
fix and improve some dl2 plots
vuillaut May 8, 2020
c9c3a4e
simple unit test for dl2 plots
vuillaut May 8, 2020
db25eca
change rfperf script accordingly
vuillaut May 8, 2020
1e02519
produce fake dl1 proton file
vuillaut May 8, 2020
f32c5d5
test with fake dl1 proton file
vuillaut May 8, 2020
131d58f
fix typo bug
vuillaut May 8, 2020
7c8793f
fix test
vuillaut May 8, 2020
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63 changes: 8 additions & 55 deletions lstchain/scripts/lstchain_mc_rfperformance.py
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Original file line number Diff line number Diff line change
Expand Up @@ -111,80 +111,33 @@ def main():

####PLOT SOME RESULTS#####

gammas = dl2[dl2.gammaness >= 0.5]
protons = dl2[dl2.gammaness < 0.5]
gammas.reco_type = 0
protons.reco_type = 1

focal_length = 28 * u.m
src_pos_reco = utils.reco_source_position_sky(gammas.x.values * u.m,
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gammas.y.values * u.m,
gammas.reco_disp_dx.values * u.m,
gammas.reco_disp_dy.values * u.m,
focal_length,
gammas.mc_alt_tel.values * u.rad,
gammas.mc_az_tel.values * u.rad)

selected_gammas = dl2.query('reco_type==0 & mc_type==0')
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plot_dl2.plot_features(dl2)
if not args.batch:
plt.show()

plot_dl2.plot_e(gammas, 10, 1.5, 3.5)
if not args.batch:
plt.show()

plot_dl2.calc_resolution(gammas)
plot_dl2.energy_results(selected_gammas)
if not args.batch:
plt.show()

plot_dl2.plot_e_resolution(gammas, 10, 1.5, 3.5)
plot_dl2.direction_results(selected_gammas)
if not args.batch:
plt.show()

plot_dl2.plot_disp_vector(gammas)
plot_dl2.plot_disp_vector(selected_gammas)
if not args.batch:
plt.show()


try:
ctaplot.plot_theta2(gammas.mc_alt,
np.arctan(np.tan(gammas.mc_az)),
src_pos_reco.alt.rad,
np.arctan(np.tan(src_pos_reco.az.rad)),
bins=50, range=(0, 1),
)
if not args.batch:
plt.show()
ctaplot.plot_angular_res_per_energy(src_pos_reco.alt.rad,
np.arctan(np.tan(src_pos_reco.az.rad)),
gammas.mc_alt,
np.arctan(np.tan(gammas.mc_az)),
gammas.mc_energy
)
if not args.batch:
plt.show()
except:
pass

regression_features = config["regression_features"]
classification_features = config["classification_features"]

if not args.batch:
plt.show()
plot_dl2.plot_pos(dl2)
if not args.batch:
plt.show()
plot_dl2.plot_ROC(cls_gh, dl2, classification_features, -1)
if not args.batch:
plt.show()
plot_dl2.plot_importances(cls_gh, classification_features)
if not args.batch:
plt.show()
plot_dl2.plot_importances(reg_energy, regression_features)

plot_dl2.plot_roc_gamma(dl2)
if not args.batch:
plt.show()
plot_dl2.plot_importances(reg_disp_vector, regression_features)

plot_dl2.plot_models_features_importances(args.path_models, args.config)
if not args.batch:
plt.show()

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