22 citations · 68 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Identifying type II quasars at intermediate redshift with few-shot learning photometric classification
P. A. C. Cunha, A. Humphrey, J. Brinchmann +5
We aim to identify QSO2 candidates in the redshift desert using optical and infrared photometry. At this intermediate redshift range, most of the prominent optical emission lines i…
Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
T. Signor, G. Rodighiero, L. Bisigello +138
Dusty, distant, massive () galaxies are usually found to show a remarkable star-formation activity, contributing on the order of of the cosm…