activity
20192025
most citedEuclid. I. Overview of the Euclid mission

550 citations · 2.2k across the 68 of their papers we have counts for

collaborators

74 papers

astro-ph.CO2025

Euclid preparation. XCVIII. Cosmology Likelihood for Observables in Euclid (CLOE). 5: Extensions beyond the standard modelling of theoretical probes and systematic effects

Euclid Collaboration, L. W. K. Goh, A. Nouri-Zonoz +301

Euclid is expected to establish new state-of-the-art constraints on extensions beyond the standard LCDM cosmological model by measuring the positions and shapes of billions of gala…

astro-ph.CO2025

Euclid preparation. LXXIV. Euclidised observations of Hubble Frontier Fields and CLASH galaxy clusters

Euclid Collaboration, P. Bergamini, M. Meneghetti +263

We present HST2EUCLID, a novel Python code to generate Euclid realistic mock images in the , , , and photometric bands based on panchro…

astro-ph.IM2025

Performance of the image persistence model for Euclid infrared detectors

B. Kubik, R. Barbier, G. Smadja +99

Large-format infrared detectors are at the heart of major ground and space-based astronomical instruments, and the HgCdTe HxRG is the most widely used. The Near Infrared Spectromet…

astro-ph.GA2025★ 2 cited

Euclid preparation. Estimating galaxy physical properties using CatBoost chained regressors with attention

Euclid Collaboration, A. Humphrey, P. A. C. Cunha +232

Euclid will image ~14000 deg^2 of the extragalactic sky at visible and NIR wavelengths, providing a dataset of unprecedented size and richness that will facilitate a multitude of s…

astro-ph.CO2025

Euclid preparation LX. The use of HST images as input for weak-lensing image simulations

Euclid Collaboration, D. Scognamiglio, T. Schrabback +245

Data from the Euclid space telescope will enable cosmic shear measurements with very small statistical errors, requiring corresponding systematic error control level. A common appr…

astro-ph.GA2025★ 7 cited

Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning

Euclid Collaboration, I. Kovačić, M. Baes +287

The Euclid mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow the detailed study of mass, metallicity, and st…