activity
20072025
most citedEuclid. I. Overview of the Euclid mission

550 citations · 1k across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2025★ 1 cited

Euclid preparation: LXXXVII. Non-Gaussianity of 2-point statistics likelihood: Precise analysis of the matter power spectrum distribution

Euclid Collaboration, J. Bel, S. Gouyou Beauchamps +281

We investigate the non-Gaussian features in the distribution of the matter power spectrum multipoles. Using the COVMOS method, we generate 100\,000 mock realisations of dark matter…

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.CO2024★ 550 cited

Euclid. I. Overview of the Euclid mission

Euclid Collaboration, Y. Mellier, Abdurro'uf +1134

The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Eucl…

astro-ph.HE2023★ 6 cited

Search for Eccentric Black Hole Coalescences during the Third Observing Run of LIGO and Virgo

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1772

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Or…

gr-qc2023★ 331 cited

Open data from the third observing run of LIGO, Virgo, KAGRA and GEO

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1741

The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data…

astro-ph.CO2020★ 45 cited

Hints of dark energy anisotropic stress using Machine Learning

Rubén Arjona, Savvas Nesseris

Recent analyses of the Planck data and quasars at high redshifts have suggested possible deviations from the flat cold dark matter model (CDM), where is the cosmological…