The next generation of wide-field deep astronomical surveys will deliver unprecedented
amounts of images through the 2020s and beyond. As both the sensitivity and depth of …

Next-generation large sky surveys will observe up to billions of galaxies for which basic
structural parameters are needed to study their evolution. This is a challenging task that, for …

Bolometric light curves play an important role in understanding the underlying physics of
various astrophysical phenomena, as they allow for a comprehensive modelling of the event …

Temporal variations of apparent magnitude, called light curves, are observational statistics
of interest captured by telescopes over long periods of time. Light curves afford the …

The gas-phase metallicity is a crucial parameter for understanding the evolution of galaxies.
Considering that the number of multiband galaxy images can typically reach tens of millions …

Aims. We applied machine learning to the entire data history of ESO's High Accuracy Radial
Velocity Planet Searcher (HARPS) instrument. Our primary goal was to recover the physical …

Electronically Assisted Astronomy is a fascinating activity requiring suitable conditions and
expertise to be fully appreciated. Complex equipment, light pollution around urban areas …

Gaussian process (GP) regression is a flexible modeling technique used to predict outputs
and to capture uncertainty in the predictions. However, the GP regression process becomes …

Exploration is a challenging problem in reinforcement learning (RL), especially in
environments with sparse rewards. Quantifying and utilizing the parametric uncertainty has …

Accurately detecting rendezvous and proximity operations (RPO) is crucial for
understanding how objects are behaving in the space domain. However, detecting closely …