22 citations · 68 across the 12 of their papers we have counts for
9 papers · 1 filter
Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars
Euclid Collaboration, Y. Fu, R. Bouwens +354
The slitless spectroscopy mode of the NISP onboard Euclid has enabled efficient spectroscopy of objects within a large FoV. We present a large and homogeneous sample of bright quas…
Euclid: The potential of slitless infrared spectroscopy: A z=5.4 quasar and new ultracool dwarfs
E. Bañados, V. Le Brun, S. Belladitta +226
We demonstrate the potential of Euclid's slitless spectroscopy to discover high-redshift (z>5) quasars and their main photometric contaminant, ultracool dwarfs. Sensitive infrared…
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…
Euclid Quick Data Release (Q1). Photometric redshifts and physical properties of galaxies through the PHZ processing function
Euclid Collaboration, M. Tucci, S. Paltani +344
The ESA Euclid mission will measure the photometric redshifts of billions of galaxies in order to provide an accurate 3D view of the Universe at optical and near-infrared wavelengt…
Exploring the physical properties of Type II Quasar candidates at intermediate redshifts with CIGALE
P. A. C. Cunha, A. Humphrey, J. Brinchmann +4
Active Galactic Nuclei (AGN) significantly influence galaxy evolution. Specific sources such as obscured AGNs, especially Type II quasars (QSO2), still remain understudied. We char…
Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours
Euclid Collaboration, L. Bisigello, M. Massimo +244
Euclid will cover over 14000 with two optical and near-infrared spectro-photometric instruments, and is expected to detect around ten million active galactic nuclei (AGN)…
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…
Euclid preparation. Spectroscopy of active galactic nuclei with NISP
Euclid Collaboration, E. Lusso, S. Fotopoulou +246
The statistical distribution and evolution of key properties (e.g. accretion rate, mass, or spin) of active galactic nuclei (AGN), remain an open debate in astrophysics. The ESA Eu…
Selection of powerful radio galaxies with machine learning
R. Carvajal, I. Matute, J. Afonso +12
We developed and trained a pipeline of three machine learning (ML) models than can predict which sources are more likely to be an AGN and to be detected in specific radio surveys.…