activity
20062026
most citedCEERS Key Paper I: An Early Look into the First 500 Myr of Galaxy Formation with JWST

524 citations · 12.2k across the 205 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

14 papers · 1 filter

astro-ph.IM2023★ 10 cited

Euclid preparation. XXIX. Water ice in spacecraft part I: The physics of ice formation and contamination

Euclid Collaboration, M. Schirmer, K. Thürmer +218

Molecular contamination is a well-known problem in space flight. Water is the most common contaminant and alters numerous properties of a cryogenic optical system. Too much ice mea…

astro-ph.IM2023★ 12 cited

FORECAST: a flexible software to forward model cosmological hydrodynamical simulations mimicking real observations

Flaminia Fortuni, Emiliano Merlin, Adriano Fontana +7

We present FORECAST, a new flexible and adaptable software package that performs forward modeling of the output of any cosmological hydrodynamical simulations to create a wide rang…

astro-ph.IM2022

The PAU Survey & Euclid: Improving broad-band photometric redshifts with multi-task learning

L. Cabayol, M. Eriksen, J. Carretero +123

Current and future imaging surveys require photometric redshifts (photo-zs) to be estimated for millions of galaxies. Improving the photo-z quality is a major challenge but is need…

astro-ph.IM2022

Rubin-Euclid Derived Data Products: Initial Recommendations

Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117

This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…

astro-ph.IM2021★ 4 cited

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.IM2020★ 19 cited

A comparative analysis of denoising algorithms for extragalactic imaging surveys

V. Roscani, S. Tozza, M. Castellano +4

We present a comprehensive analysis of the performance of noise-reduction (``denoising'') algorithms to determine whether they provide advantages in source detection on extragalact…