550 citations · 2.8k across the 156 of their papers we have counts for
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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…
Euclid preparation: XVIII. Cosmic Dawn Survey. Spitzer observations of the Euclid deep fields and calibration fields
Andrea Moneti, H. J. McCracken, M. Shuntov +194
We present a new infrared survey covering the three Euclid deep fields and four other Euclid calibration fields using Spitzer's Infrared Array Camera (IRAC). We have combined these…
Deep Transfer Learning for Blended Source Identification in Galaxy Survey Data
S. Farrens, A. Lacan, A. Guinot +1
We present BlendHunter, a proof-of-concept for a deep transfer learning based approach for the automated and robust identification of blended sources in galaxy survey data. We take…
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…
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…
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…