activity
20072026
most citedEuclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

166 citations · 1.5k across the 124 of their papers we have counts for

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Showing 2025Show all

49 papers · 1 filter

astro-ph.CO2025

Euclid preparation. Review of forecast constraints on dark energy and modified gravity

Euclid Collaboration, N. Frusciante, M. Martinelli +326

The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…

astro-ph.IM2025

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…

astro-ph.CO2025

Joint cosmological fits to DESI-DR1 full-shape clustering and weak gravitational lensing in configuration space

A. Semenaite, C. Blake, A. Porredon +69

We present a joint -pt cosmological analysis of auto- and cross-correlations between the Dark Energy Spectroscopic Instrument Data Release 1 (DESI-DR1) Bright Galaxy Surv…

astro-ph.GA2025

Euclid: Quick Data Release (Q1) -- Secondary nuclei in early-type galaxies

M. Fabricius, R. Saglia, F. Balzer +165

Massive early-type galaxies (ETGs) are believed to form primarily through mergers of less massive progenitors, leaving behind numerous traces of violent formation histories, such a…

astro-ph.CO2025

Euclid preparation. XCII. Controlling angular systematics in the Euclid spectroscopic galaxy sample

Euclid Collaboration, P. Monaco, M. Y. Elkhashab +298

We present the strategy used to identify and mitigate potential sources of angular systematics in the \textit{Euclid} spectroscopic galaxy survey, and we quantify their impact on g…

astro-ph.CO2025★ 1 cited

Euclid Quick Data Release (Q1). Searching for giant gravitational arcs in galaxy clusters with mask region-based convolutional neural networks

Euclid Collaboration, L. Bazzanini, G. Angora +306

Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL e…