activity
20192025
most citedEuclid. III. The NISP Instrument

114 citations · 481 across the 13 of their papers we have counts for

collaborators

15 papers

astro-ph.GA2025★ 3 cited

Euclid Quick Data Release (Q1) -- Data release overview

Euclid Collaboration, H. Aussel, I. Tereno +407

The first Euclid Quick Data Release, Q1, comprises 63.1 sq deg of the Euclid Deep Fields (EDFs) to nominal wide-survey depth. It encompasses visible and near-infrared space-based i…

astro-ph.IM2024★ 114 cited

Euclid. III. The NISP Instrument

Euclid Collaboration, K. Jahnke, W. Gillard +434

The Near-Infrared Spectrometer and Photometer (NISP) on board the Euclid satellite provides multiband photometry and R>=450 slitless grism spectroscopy in the 950-2020nm wavelength…

astro-ph.IM2024★ 103 cited

Euclid. II. The VIS Instrument

Euclid Collaboration, M. S. Cropper, A. Al-Bahlawan +432

This paper presents the specification, design, and development of the Visible Camera (VIS) on the ESA Euclid mission. VIS is a large optical-band imager with a field of view of 0.5…

astro-ph.CO2024

Euclid preparation. XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys

Euclid Collaboration, M. Sereno, S. Farrens +221

Precise and accurate mass calibration is required to exploit galaxy clusters as astrophysical and cosmological probes in the Euclid era. Systematic errors in lensing signals by gal…

astro-ph.CO2024★ 10 cited

Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework

Euclid Collaboration, S. Serrano, P. Hudelot +274

The European Space Agency's Euclid mission is one of the upcoming generation of large-scale cosmology surveys, which will map the large-scale structure in the Universe with unprece…

astro-ph.EP2023★ 15 cited

Euclid: Identification of asteroid streaks in simulated images using deep learning

M. Pöntinen, M. Granvik, A. A. Nucita +114

Up to 150000 asteroids will be visible in the images of the ESA Euclid space telescope, and the instruments of Euclid offer multiband visual to near-infrared photometry and slitles…

astro-ph.GA2023★ 15 cited

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…

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.GA2023★ 10 cited

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…

astro-ph.CO2023

Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum

Euclid Collaboration, A. C. Deshpande, T. Kitching +200

This work considers which higher-order effects in modelling the cosmic shear angular power spectra must be taken into account for Euclid. We identify which terms are of concern, an…

astro-ph.CO2023★ 24 cited

Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction

S. Radinović, S. Nadathur, H. -A. Winther +118

We investigate the cosmological constraints that can be expected from measurement of the cross-correlation of galaxies with cosmic voids identified in the Euclid spectroscopic surv…

astro-ph.CO2023★ 29 cited

Euclid preparation. XXXII. Evaluating the weak lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

Euclid Collaboration, C. Giocoli, M. Meneghetti +213

The photometric catalogue of galaxy clusters extracted from ESA Euclid data is expected to be very competitive for cosmological studies. Using state-of-the-art hydrodynamical simul…

astro-ph.CO2023★ 60 cited

Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics

Euclid Collaboration, V. Ajani, M. Baldi +211

Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precis…

astro-ph.CO2019★ 6 cited

Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments

Euclid Collaboration, P. Paykari, T. D. Kitching +128

Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. We present an end-to-end approach that introduces sources of…

astro-ph.GA2019★ 82 cited

Euclid preparation: V. Predicted yield of redshift 7<z<9 quasars from the wide survey

Euclid Collaboration, R. Barnett, S. J. Warren +126

We provide predictions of the yield of quasars from the Euclid wide survey, updating the calculation presented in the Euclid Red Book in several ways. We account for revisi…