activity
20112021
collaborators

9 papers

astro-ph.IM2021

Euclid: Estimation of the impact of correlated readout noise for flux measurements with the Euclid NISP instrument

A. Jimenez Munoz, J. Macias-Perez, A. Secroun +96

The Euclid satellite, to be launched by ESA in 2022, will be a major instrument for cosmology for the next decades. \Euclid\ is composed of two instruments: the Visible (VIS) instr…

astro-ph.CO2021

Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

Euclid Collaboration, O. Ilbert, S. de la Torre +162

The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy eq…

astro-ph.CO2020

Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

Euclid Collaboration, M. Knabenhans, J. Stadel +131

We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast and accurate predictor for the nonlinear correction of the matter power spectrum. Percent-l…

astro-ph.GA2020

Euclid preparation: X. The Euclid photometric-redshift challenge

Euclid Collaboration, G. Desprez, S. Paltani +170

Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. Howev…

astro-ph.GA2020

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…

astro-ph.GA2020

The PAU Survey: Photometric redshifts using transfer learning from simulations

M. Eriksen, A. Alarcon, L. Cabayol +15

In this paper we introduce the \textsc{Deepz} deep learning photometric redshift (photo-) code. As a test case, we apply the code to the PAU survey (PAUS) data in the COSMOS fie…