collaborators

53 papers

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.CO2026

Euclid: Precise inference of defocus wavefront error from image diffraction spike measurements

D. Neumann, L. Miller, H. Hoekstra +146

The success of the Euclid cosmological weak lensing measurements requires unprecedented knowledge of the point spread function (PSF) shape. Defocus wavefront errors induce variatio…

astro-ph.CO2026

Field-level weak lensing cosmology with simulations using multifidelity simulation-based inference

Alex A. Saoulis, Kiyam Lin, Niall Jeffrey +5

We perform a realistic KiDS-Legacy mock analysis with field-level neural compression and simulation-based inference using fewer than 100 -body simulations. The weak lensing shea…

astro-ph.CO2026

Euclid. Populating a dark universe with galaxies using SciPIC

Euclid Collaboration, E. J. Gonzalez, J. Carretero +305

High-fidelity galaxy mocks are crucial for validating analysis pipelines and for cosmological inference. In this context, the Science Pipeline at PIC (SciPIC) is a pipeline specifi…

astro-ph.CO2026

Euclid preparation. CIV. Impact of galaxy intrinsic alignment modelling choices on Euclid 3x2pt cosmology

Euclid Collaboration, D. Navarro-Gironés, I. Tutusaus +274

The Euclid galaxy survey will provide unprecedented constraints on cosmology, but achieving unbiased results will require an optimal characterisation and mitigation of systematic e…

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…