collaborators

10 papers

astro-ph.CO2026

Euclid Quick Data Release (Q1). The role of cosmic connectivity in shaping galaxy clusters

Euclid Collaboration, C. Gouin, C. Laigle +337

The matter distribution around galaxy clusters is distributed over several filaments, reflecting their positions as nodes in the large-scale cosmic web. The number of filaments con…

astro-ph.GA2026

Euclid preparation. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples

Euclid Collaboration, K. Kraljic, C. Laigle +321

The ongoing Euclid mission aims to measure spectroscopic redshifts for approximately two million galaxies using the H line emission detected in near-infrared slitless spectros…

astro-ph.CO2026

Euclid preparation. Calibrated intrinsic galaxy alignments in the Euclid Flagship simulation

Euclid Collaboration, K. Hoffmann, R. Paviot +298

Intrinsic alignments of galaxies are potentially a major contaminant of cosmological analyses of weak gravitational lensing. We construct a semi-analytic model of galaxy ellipticit…

astro-ph.IM2025

Euclid Quick Data Release (Q1): VIS processing and data products

Euclid Collaboration, H. J. McCracken, K. Benson +377

This paper describes the VIS Processing Function (VIS PF) of the Euclid ground segment pipeline, which processes and calibrates raw data from the VIS camera. We present the algorit…

astro-ph.GA2025

Euclid Quick Data Release (Q1). A probabilistic classification of quenched galaxies

Euclid Collaboration, P. Corcho-Caballero, Y. Ascasibar +318

Investigating what drives the quenching of star formation in galaxies is key to understanding their evolution. The Euclid mission will provide rich data from optical to infrared wa…

astro-ph.CO2025

Euclid preparation. Establishing the quality of the 2D reconstruction of the filaments of the cosmic web with DisPerSE using Euclid photometric redshifts

Euclid Collaboration, N. Malavasi, F. Sarron +313

Cosmic filaments are prominent structures of the matter distribution of the Universe. Modern detection algorithms are an efficient way to identify filaments in large-scale observat…