collaborators

13 papers

astro-ph.CO2026

Euclid: Inferring star-formation history via cross-correlations of photometric clustering and shear with the cosmic infrared background

J. Han, S. Camera, M. Migliaccio +146

The cosmic infrared background, sourced by dust heated by star-forming activity, encodes the integrated history of the star-formation distribution over a large swathe of cosmic tim…

astro-ph.CO2026

Euclid: Measuring the intrinsic alignment of galaxies around cosmic voids in the \Euclid Flagship simulation\

P. Vielzeuf, M. -C. Cousinou, A. Pisani +149

We present a methodology to measure the intrinsic alignment (IA) signal of galaxies in the vicinity of cosmic voids using the \Euclid-like Flagship cosmological simulation from the…

astro-ph.SR2026

Euclid: The convective-transition gap of 47 Tuc

M. Libralato, M. Griggio, R. Gerasimov +140

We report the first detection of the `convective-transition gap' (also known as `M-dwarf gap') in the globular cluster 47 Tuc (NGC 104) thanks to Euclid data. This feature, linked…

astro-ph.GA2026

Euclid Quick Data Release (Q1): The impact of AGN emission on SED-derived physical properties

Euclid Collaboration, B. Laloux, A. Bongiorno +309

The Euclid Quick Data Release (Q1) is a powerful dataset to study active galactic nuclei (AGN) and their host galaxies. Deriving their physical properties through multi-component s…

astro-ph.GA2026

Euclid: Early Release Observations -- Internal kinematics and the convective-transition gap of NGC 6397

M. Griggio, M. Libralato, R. Gerasimov +130

We present a 'multiple-pass' data-reduction tool designed for Euclid, based on software developed for the Hubble Space Telescope (HST), which improves the astrometric and photometr…

astro-ph.CO2026

Euclid: Photometric redshift calibration with the clustering redshifts technique

W. d'Assignies, M. Manera, C. Padilla +172

Aims: The precision of cosmological constraints from imaging surveys hinges on accurately estimating the redshift distribution of tomographic bins, especially their mean r…