Publications (5)
Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
Raphaël Bonnet-Guerrini, Bruno Sanchez, Dominique Fouchez +5
Time-domain surveys generate many transient candidates, making Real-Bogus classification a critical step in automated discovery pipelines. Reliable labels are costly, while communi…
Designing an Optimal LSST Deep Drilling Program for Cosmology with Type Ia Supernovae
Philippe Gris, Nicolas Regnault, Humna Awan +8
The Vera C. Rubin Observatory's Legacy Survey of Space and Time is forecast to collect a large sample of Type Ia supernovae (SNe Ia) that could be instrumental in unveiling the nat…
SLSim: a strong lensing population simulation package
Narayan Khadka, Simon Birrer, Henry Best +45
Gravitational lensing offers unique insights into cosmology by bending light around massive objects. Strong gravitational lensing, in particular, produces magnified and often multi…
Easy asteroid phase curve fitting for the Python ecosystem: Pyedra
Milagros Colazo, Juan Cabral, Martin Chalela +1
A trending astronomical phenomenon to study is the variation in brightness of asteroids, caused by its rotation on its own axis, non-spherical shapes, changes of albedo along its s…
Astroalign: A Python module for astronomical image registration
Martin Beroiz, Juan B. Cabral, Bruno Sanchez
We present an algorithm implemented in the astroalign Python module for image registration in astronomy. Our module does not rely on WCS information and instead matches 3-point ast…