activity
20162026
most citedEuclid. I. Overview of the Euclid mission

550 citations · 3.6k across the 121 of their papers we have counts for

collaborators
Showing 2024Show all

16 papers · 1 filter

astro-ph.GA2024★ 7 cited

Spectroscopic confirmation of a dust-obscured, metal-rich dwarf galaxy at z~5

L. Bisigello, G. Gandolfi, A. Feltre +24

We present the first spectroscopic confirmation of a dust-obscured dwarf galaxy, CEERS-14821. The analysis is performed combining JWST NIRCam broad-band photometry and NIRSpec/PRIS…

astro-ph.GA2024★ 7 cited

MAMBO -- An empirical galaxy and AGN mock catalogue for the exploitation of future surveys

X. López-López, M. Bolzonella, L. Pozzetti +13

Aims. We present MAMBO, a flexible and efficient workflow to build empirical galaxy and Active Galactic Nuclei (AGN) mock catalogues that reproduce the physical and observational p…

astro-ph.GA2024

CEERS Key Paper. IX. Identifying Galaxy Mergers in CEERS NIRCam Images Using Random Forests and Convolutional Neural Networks

Caitlin Rose, Jeyhan S. Kartaltepe, Gregory F. Snyder +32

A crucial yet challenging task in galaxy evolution studies is the identification of distant merging galaxies, a task which suffers from a variety of issues ranging from telescope s…

astro-ph.CO2024★ 1 cited

What are the Pillars of Reionization? Revising the AGN Luminosity Function at z~5

Andrea Grazian, Emanuele Giallongo, Konstantina Boutsia +22

In the past, high-z AGNs were given a minor role as possible drivers of reionization, despite initial evidences in favor of their large space densities at low luminosities by Chand…

astro-ph.GA2024★ 9 cited

ACOSMOS: the dust mass function and dust mass density at

A. Traina, B. Magnelli, C. Gruppioni +7

Context. Although dust in galaxies represents only a few percent of the total baryonic mass, it plays a crucial role in the physical processes occurring in galaxies. Studying the d…

astro-ph.GA2024★ 8 cited

Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Euclid Collaboration, A. Enia, M. Bolzonella +260

Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting metho…