activity
20192026
most citedEuclid. III. The NISP Instrument

114 citations · 1.5k across the 171 of their papers we have counts for

collaborators
Showing 2021Show all

11 papers · 1 filter

astro-ph.CO2021★ 12 cited

Euclid: Covariance of weak lensing pseudo- estimates. Calculation, comparison to simulations, and dependence on survey geometry

R. E. Upham, M. L. Brown, L. Whittaker +102

An accurate covariance matrix is essential for obtaining reliable cosmological results when using a Gaussian likelihood. In this paper we study the covariance of pseudo- es…

astro-ph.CO2021★ 29 cited

Euclid: Forecast constraints on consistency tests of the CDM model

S. Nesseris, D. Sapone, M. Martinelli +112

The standard cosmological model is based on the fundamental assumptions of a spatially homogeneous and isotropic universe on large scales. An observational detection of a violation…

astro-ph.CO2021★ 56 cited

Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering

F. Lepori, I. Tutusaus, C. Viglione +183

We investigate the importance of lensing magnification for estimates of galaxy clustering and its cross-correlation with shear for the photometric sample of Euclid. Using updated s…

astro-ph.CO2021★ 2 cited

Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy

M. S. Cagliari, B. R. Granett, L. Guzzo +109

The ESA Euclid mission will produce photometric galaxy samples over 15000 square degrees of the sky that will be rich for clustering and weak lensing statistics. The accuracy of th…

astro-ph.CO2021★ 8 cited

Euclid preparation: I. The Euclid Wide Survey

R. Scaramella, J. Amiaux, Y. Mellier +238

Euclid is an ESA mission designed to constrain the properties of dark energy and gravity via weak gravitational lensing and galaxy clustering. It will carry out a wide area imaging…

astro-ph.CO2021★ 68 cited

Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids

N. Hamaus, M. Aubert, A. Pisani +127

Euclid is poised to survey galaxies across a cosmological volume of unprecedented size, providing observations of more than a billion objects distributed over a third of the full s…

astro-ph.CO2021★ 78 cited

preparation: XV. Forecasting cosmological constraints for the and CMB joint analysis

Euclid Collaboration, S. Ilić, N. Aghanim +207

The combination and cross-correlation of the upcoming data with cosmic microwave background (CMB) measurements is a source of great expectation since it will provide the l…

astro-ph.CO2021★ 30 cited

Euclid: constraining dark energy coupled to electromagnetism using astrophysical and laboratory data

M. Martinelli, C. J. A. P. Martins, S. Nesseris +92

In physically realistic scalar-field based dynamical dark energy models (including, e.g., quintessence) one naturally expects the scalar field to couple to the rest of the model's…

astro-ph.GA2021★ 32 cited

Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using Deep Generative Models

Euclid Collaboration, H. Bretonnière, M. Huertas-Company +193

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey. The proposed method combines a control on galaxy shape parameters offered by analytic…

astro-ph.IM2021★ 4 cited

Euclid: Estimation of the impact of correlated readout noise for flux measurements with the Euclid NISP instrument

A. Jimenez Munoz, J. Macias-Perez, A. Secroun +96

The Euclid satellite, to be launched by ESA in 2022, will be a major instrument for cosmology for the next decades. \Euclid\ is composed of two instruments: the Visible (VIS) instr…

astro-ph.CO2021★ 22 cited

Euclid: Effect of sample covariance on the number counts of galaxy clusters

A. Fumagalli, A. Saro, S. Borgani +93

Aims. We investigate the contribution of shot-noise and sample variance to the uncertainty of cosmological parameter constraints inferred from cluster number counts in the context…