International Conference on Machine Learning for Astrophysics 2nd Ed. - ML4ASTRO2

Session

Past and future multiwavelength all-sky surveys

8 Jul 2024, 09:20

Aula Magna (Catania)

Conveners

Past and future multiwavelength all-sky surveys: I

• Eva Sciacca (Istituto Nazionale di Astrofisica (INAF))

176. [INVITED] Expediting the discovery process: Application of unsupervised machine learning algorithms to multi-wavelength astronomical datasets

Dalya Baron

08/07/2024, 09:20

Throughout history, new observations of the night sky have led to new discoveries, often leading to paradigm shifts in astronomy. These have been made possible by observing new wavelength ranges; mapping smaller scales with an increasing spatial resolution; or peering deeper into the more distant universe; to name a few. Over the past decades, astronomy has been going through a data...

177. Deblending and photometry of faint sources using VAEs and multi-wavelength data

Fernando Caro

08/07/2024, 10:00

The next generation of wide-field surveys is set to deliver an impressive amount of imaging data during the upcoming years when projects such as Euclid or the Rubin Observatory enter in their regular operation phases. The expected improvements on the depth and the magnitude limit of the images that will be acquired pose new challenges related to the increase in the number of blended sources....

209. Measuring the intracluster light fraction using machine learning

Louisa Canepa

08/07/2024, 10:20

The intracluster light (ICL) is an important tracer of a galaxy cluster’s history and past interactions. Up to now, only small samples of ICL have been studied due to its very low surface brightness, the difficulties in comparing measurement methods, and the high level of manual involvement needed for most measurements. To process the amount of data expected from upcoming imaging surveys like...