81 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR16 papers
- University of CopenhagenDK16 papers
- Technical University of DenmarkDK15 papers
- Space Telescope Science InstituteUS12 papers
- University of GenevaCH11 papers
- Leiden UniversityNL10 papers
- Aix-Marseille UniversitéFR9 papers
- Astrophysique, Instrumentation et ModélisationFR9 papers
- CEA Paris-SaclayFR9 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR9 papers
- Institut d'Astrophysique de ParisFR9 papers
- Max Planck Institute for AstronomyDE9 papers
5 papers · 1 filter
Euclid preparation. Simulations and nonlinearities beyond CDM. 1. Numerical methods and validation
Euclid Collaboration, J. Adamek, B. Fiorini +268
To constrain models beyond CDM, the development of the Euclid analysis pipeline requires simulations that capture the nonlinear phenomenology of such models. We present an overv…
CANUCS: Constraining the MACS J0416.1-2403 Strong Lensing Model with JWST NIRISS, NIRSpec and NIRCam
Gregor Rihtaršič, Maruša Bradač, Guillaume Desprez +18
(Abridged) The strong lensing models of galaxy clusters rely on the number and quality of multiple images with spectroscopic redshifts. We present an updated strong lensing model o…
Euclid preparation: XLVIII. The pre-launch Science Ground Segment simulation framework
Euclid Collaboration, S. Serrano, P. Hudelot +274
The European Space Agency's Euclid mission is one of the upcoming generation of large-scale cosmology surveys, which will map the large-scale structure in the Universe with unprece…
Euclid preparation. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-CDM models
Euclid Collaboration, B. Bose, P. Carrilho +229
We investigate the approximations needed to efficiently predict the large-scale clustering of matter and dark matter halos in beyond-CDM scenarios. We examine the normal branch…
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…