activity
20132026
most citedDiscovery of a planetary-mass companion within the gap of the transition disk around PDS 70

700 citations · 4.3k across the 74 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

12 papers · 1 filter

astro-ph.GA2025

Euclid Quick Data Release (Q1) First study of red quasars selection

Euclid Collaboration, F. Tarsitano, S. Fotopoulou +322

Red quasars constitute an important but elusive phase in the evolution of supermassive black holes, where dust obscuration can significantly alter their observed properties. They h…

astro-ph.GA2025

Euclid Quick Data Release (Q1). First Euclid statistical study of the active galactic nuclei contribution fraction

Euclid Collaboration, B. Margalef-Bentabol, L. Wang +331

Active galactic nuclei (AGN) play a key role in galaxy evolution but are challenging to identify due to their varied observational signatures. Furthermore, understanding their impa…

astro-ph.GA2025★ 11 cited

Euclid Quick Data Release (Q1). The Strong Lensing Discovery Engine C: Finding lenses with machine learning

Euclid Collaboration, N. E. P. Lines, T. E. Collett +350

Strong gravitational lensing has the potential to provide a powerful probe of astrophysics and cosmology, but fewer than 1000 strong lenses have been confirmed so far. With a 0.16'…

astro-ph.GA2025★ 1 cited

Euclid Quick Data Release (Q1). Active galactic nuclei identification using diffusion-based inpainting of Euclid VIS images

Euclid Collaboration, G. Stevens, S. Fotopoulou +271

Light emission from galaxies exhibit diverse brightness profiles, influenced by factors such as galaxy type, structural features and interactions with other galaxies. Elliptical ga…

astro-ph.GA2025★ 8 cited

Euclid Quick Data Release (Q1). First Euclid statistical study of galaxy mergers and their connection to active galactic nuclei

Euclid Collaboration, A. La Marca, L. Wang +334

Galaxy major mergers are a key pathway to trigger AGN. We present the first detection of major mergers in the Euclid Deep Fields and analyse their connection with AGN. We construct…

astro-ph.GA2025★ 3 cited

Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies

Euclid Collaboration, P. Corcho-Caballero, Y. Ascasibar +318

Investigating what drives the quenching of star formation in galaxies is key to understanding their evolution. The Euclid mission will provide rich data from optical to infrared wa…

astro-ph.GA2025★ 1 cited

Euclid Quick Data Release (Q1). Exploring galaxy morphology across cosmic time through Sersic fits

Euclid Collaboration, L. Quilley, I. Damjanov +333

We present the results of the single-component Sérsic profile fitting for the magnitude-limited sample of \IE galaxies within the 63.1 deg area of the Euclid Quick Data Re…

astro-ph.GA2024★ 17 cited

Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

Euclid Collaboration, B. Aussel, S. Kruk +255

The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…

astro-ph.GA2023★ 14 cited

Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys

Euclid Collaboration, L. Gabarra, C. Mancini +232

This work focuses on the pilot run of a simulation campaign aimed at investigating the spectroscopic capabilities of the Euclid Near-Infrared Spectrometer and Photometer (NISP), in…

astro-ph.GA2021★ 80 cited

Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields

Andrea Moneti, H. J. McCracken, M. Shuntov +194

We present a new infrared survey covering the three Euclid deep fields and four other Euclid calibration fields using Spitzer's Infrared Array Camera (IRAC). We have combined these…

astro-ph.GA2021★ 32 cited

Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models

Euclid Collaboration, H. Bretonnière, M. Huertas-Company +193

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey. The proposed method combines a control on galaxy shape parameters offered by analytic…

astro-ph.GA2020★ 22 cited

Euclid preparation: VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release

Euclid Collaboration, V. Guglielmo, R. Saglia +145

The Complete Calibration of the Colour-Redshift Relation survey (C3R2) is a spectroscopic effort involving ESO and Keck facilities designed to empirically calibrate the galaxy colo…