877 citations · 2.4k across the 86 of their papers we have counts for
91 papers
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…
Euclid preparation. XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Euclid Collaboration, B. Aussel, S. Kruk +255
The Euclid mission is expected to image millions of galaxies with high resolution, providing an extensive dataset to study galaxy evolution. We investigate the application of deep…
Euclid preparation. XXIX. Water ice in spacecraft part I: The physics of ice formation and contamination
Euclid Collaboration, M. Schirmer, K. Thürmer +218
Molecular contamination is a well-known problem in space flight. Water is the most common contaminant and alters numerous properties of a cryogenic optical system. Too much ice mea…
Euclid: Validation of the MontePython forecasting tools
S. Casas, J. Lesgourgues, N. Schöneberg +124
The Euclid mission of the European Space Agency will perform a survey of weak lensing cosmic shear and galaxy clustering in order to constrain cosmological models and fundamental p…
Euclid preparation: XXVIII. Modelling of the weak lensing angular power spectrum
Euclid Collaboration, A. C. Deshpande, T. Kitching +200
This work considers which higher-order effects in modelling the cosmic shear angular power spectra must be taken into account for Euclid. We identify which terms are of concern, an…
Euclid Preparation. XXVIII. Forecasts for ten different higher-order weak lensing statistics
Euclid Collaboration, V. Ajani, M. Baldi +211
Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precis…