activity
20202026
most citedThe Fornax Deep Survey with VST. IX. The catalog of sources in the FDS area, with an example study for globular clusters and background galaxies

45 citations · 105 across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.GA2026

Euclid Quick Data Release (Q1). Searching for radio-selected \Euclid-dark galaxies in the EDF-N

Euclid Collaboration, M. Giulietti, I. Prandoni +308

We present and investigate the properties of a sample of radio-selected, Euclid-dark galaxies, identified from LOFAR HBA observations at 144 MHz within the Euclid Deep Field-North…

astro-ph.GA2023★ 9 cited

CASCO: Cosmological and AStrophysical parameters from Cosmological simulations and Observations -- I. Constraining physical processes in local star-forming galaxies

Valerio Busillo, Crescenzo Tortora, Nicola R. Napolitano +4

We compare the structural properties and dark matter content of star-forming galaxies taken from the CAMELS cosmological simulations to the observed trends derived from the SPARC s…

astro-ph.GA2023★ 2 cited

A Near-Infrared Faint, Far-Infrared-Luminous Dusty Galaxy at z~5 in COSMOS-Web

Jed McKinney, Sinclaire M. Manning, Olivia R. Cooper +32

A growing number of far-infrared bright sources completely invisible in deep extragalactic optical surveys hint at an elusive population of z>4 dusty, star-forming galaxies. Cycle…

astro-ph.GA2023★ 20 cited

The impact of human expert visual inspection on the discovery of strong gravitational lenses

Karina Rojas, Thomas E. Collett, Daniel Ballard +53

We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that…

astro-ph.GA2022★ 13 cited

COSMOS-Web: An Overview of the JWST Cosmic Origins Survey

Caitlin M. Casey, Jeyhan S. Kartaltepe, Nicole E. Drakos +82

We present the survey design, implementation, and outlook for COSMOS-Web, a 255 hour treasury program conducted by the James Webb Space Telescope in its first cycle of observations…

astro-ph.IM2022★ 15 cited

LeMoN: Lens Modelling with Neural networks -- I. Automated modelling of strong gravitational lenses with Bayesian Neural Networks

Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +4

The unprecedented number of gravitational lenses expected from new-generation facilities such as the ESA Euclid telescope and the Vera Rubin Observatory makes it crucial to rethink…

astro-ph.GA2021★ 1 cited

Lenses In VoicE (LIVE): Searching for strong gravitational lenses in the VOICE@VST survey using Convolutional Neural Networks

Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone +8

We present a sample of 16 likely strong gravitational lenses identified in the VST Optical Imaging of the CDFS and ES1 fields (VOICE survey) using Convolutional Neural Networks (CN…

astro-ph.GA2020★ 45 cited

The Fornax Deep Survey with VST. IX. The catalog of sources in the FDS area, with an example study for globular clusters and background galaxies

Michele Cantiello, Aku Venhola, Aniello Grado +18

This paper continues the series of the Fornax Deep Survey (FDS). Following the previous studies dedicated to extended Fornax cluster members, we present the catalogs of compact ste…