New substellar candidates identified through deep learning in the F150 sample of the large-scale SHINE direct imaging survey

arXiv:2605.23700 · astro-ph.EP, astro-ph.IM, astro-ph.SR · Submitted 2026-05-22 · Read on arXiv

Carles Cantero Mitjans, Mariam Sabalbal, Olivier Absil, Marc Van Droogenbroeck, Damien Ségransan, Philippe Delorme

astro-ph.EP, astro-ph.IM, astro-ph.SR

Submitted: 2026-05-22

Comments: 20 pages, 10 figures, and 2 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Calibration — 10× in this paper · explained in 7 episodes
Data Augmentation — 3× in this paper · explained in 7 episodes
Interpretability — 3× in this paper · explained in 15 episodes
Regularization — 3× in this paper · explained in 3 episodes
Temporal Correlations — 3× in this paper · explained in 2 episodes
Adaptation — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
F1 Score — 2× in this paper · explained in 3 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Activation Function — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Adaptive Optics (AO) — 1× in this paper · explained in 2 episodes
Aperture — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Selection Bias — 1× in this paper · explained in 4 episodes
Trace — 1× in this paper · explained in 2 episodes