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20152026
most citedEuclid. I. Overview of the Euclid mission

550 citations · 3.2k across the 220 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

astro-ph.CO2022

Euclid preparation. XXVII. Covariance model validation for the 2-point correlation function of galaxy clusters

Euclid Collaboration, A. Fumagalli, A. Saro +191

Aims. We validate a semi-analytical model for the covariance of real-space 2-point correlation function of galaxy clusters. Methods. Using 1000 PINOCCHIO light cones mimicking the…

astro-ph.CO2022

Constraining gravity with synergies between radio and optical cosmological surveys

Santiago Casas, Isabella P. Carucci, Valeria Pettorino +2

In this work we present updated forecasts on parameterised modifications of gravity that can capture deviations of the behaviour of cosmological density perturbations beyond CDM…

astro-ph.GA2022★ 26 cited

Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies

Euclid Collaboration, E. Merlin, M. Castellano +218

The ESA Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real…

astro-ph.CO2022

Euclid preparation. XXIV. Calibration of the halo mass function in CDM cosmologies

Euclid Collaboration, T. Castro, A. Fumagalli +179

Euclid's photometric galaxy cluster survey has the potential to be a very competitive cosmological probe. The main cosmological probe with observations of clusters is their number…

astro-ph.CO2022★ 8 cited

Euclid: Testing the Copernican principle with next-generation surveys

D. Camarena, V. Marra, Z. Sakr +112

The Copernican principle, the notion that we are not at a special location in the Universe, is one of the cornerstones of modern cosmology and its violation would invalidate the Fr…

astro-ph.GA2022

Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

Euclid Collaboration, L. Bisigello, C. J. Conselice +196

Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Ma…