60 citations · 221 across the 25 of their papers we have counts for
6 papers · 1 filter
Euclid preparation. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys
Euclid Collaboration, L. Scharré, M. Hirschmann +239
In anticipation of the Euclid Wide and Deep Surveys, we present optical emission-line predictions at intermediate redshifts from 0.4 to 2.5. Our approach combines a mock light cone…
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…
Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events
Euclid Collaboration, L. Leuzzi, M. Meneghetti +216
Forthcoming imaging surveys will potentially increase the number of known galaxy-scale strong lenses by several orders of magnitude. For this to happen, images of tens of millions…
Euclid preparation. XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration
Euclid Collaboration, K. Paterson, M. Schirmer +201
The Euclid mission will conduct an extragalactic survey over 15000 deg of the extragalactic sky. The spectroscopic channel of the Near-Infrared Spectrometer and Photometer (NIS…
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…
Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies
Euclid Collaboration, E. Merlin, M. Castellano +218
The ESA Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real…