5 citations · 14 across the 48 of their papers we have counts for
32 papers · 1 filter
Euclid preparation: Determining the weak lensing mass accuracy and precision for galaxy clusters
Euclid Collaboration, L. Ingoglia, M. Sereno +279
We investigate the level of accuracy and precision of cluster weak-lensing (WL) masses measured with the \Euclid data processing pipeline. We use the DEMNUni-Cov -body simulatio…
Euclid: Field-level inference of primordial non-Gaussianity and cosmic initial conditions
A. Andrews, J. Jasche, G. Lavaux +147
A primary target of the \Euclid space mission is to constrain early-universe physics by searching for deviations from a primordial Gaussian random field. A significant detection of…
Euclid preparation. LII. Forecast impact of super-sample covariance on 3x2pt analysis with Euclid
Euclid Collaboration, D. Sciotti, S. Gouyou Beauchamps +221
Deviations from Gaussianity in the distribution of the fields probed by large-scale structure surveys generate additional terms in the data covariance matrix, increasing the uncert…
Scalar sector of Type 2 Seesaw model explorations with multi-lepton final states
CÄlin Alexa, Otilia A. Ducu, Ana E. Dumitriu +5
Originally motivated for the generation of (Majorana) neutrino masses, the Type 2 Seesaw Model has also a rich extended Higgs sector with, if accessible at the LHC, a distinctive p…
Euclid and KiDS-1000: Quantifying the impact of source-lens clustering on cosmic shear analyses
L. Linke, S. Unruh, A. Wittje +150
The transition from current Stage-III surveys such as the Kilo-Degree Survey (KiDS) to the increased area and redshift range of Stage IV surveys such as Euclid will significantly i…
Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling
Euclid Collaboration, G. Congedo, L. Miller +239
LensMC is a weak lensing shear measurement method developed for Euclid and Stage-IV surveys. It is based on forward modelling in order to deal with convolution by a point spread fu…