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

Session

Miscellaneous

11 Jul 2024, 11:10

Conference Room (Catania)

Conveners

Miscellaneous: II

• Filomena Bufano (Istituto Nazionale di Astrofisica (INAF))

268. Tracing ongoing quenching in jellyfish galaxies with machine learning techniques: Challenges in full spectral classification

Ariel Werle

11/07/2024, 11:10

Oral Presentation

Jellyfish galaxies display long tails of gas that was removed from their stellar disks through a process known as ram pressure stripping. These objects represent a fast transition phase between star-forming and post-starburst/quiescent galaxies. Using spatially resolved spectroscopic information, one can trace this evolution by identifying quenched regions in jellyfish galaxies and studying...

277. Using Deep Learning for spectral classification, redshift predictions and anomaly detection.

Fucheng Zhong

11/07/2024, 11:30

Oral Presentation

We present the Galaxy Spectra Network/GaSNet-II, a supervised multi-network deep learning tool for spectra classification and redshift prediction. GaSNet-II can be trained to identify a customized number of classes and optimize the redshift predictions. Redshift errors are determined via an ensemble/pseudo-Montecarlo test obtained by randomizing the weights of the network-of-networks...