Affiliation: University of Padua

Contribution: Oral

Title: Investigating the ultra high-z and dust obscured Universe with CosMix

Abstract: CosMix is a new Python-based tool designed for stacking astronomical images to aid in the search and study of faint galaxies challenging to detect either due to heavy dust obscuration or their extreme distances. In this presentation, I will showcase the core functionalities of CosMix and two scientific applications: the search for ultra high redshift (z>15) galaxy candidates in the CEERS field and the analysis of how galaxy mergers may affect dust-obscured star formation at high redshifts from JWST data.

This contribution can be found here (pdf).