140 citations · 570 across the 14 of their papers we have counts for
15 papers
Comparing explicit likelihood and likelihood-free simulation-based inference for weak lensing cosmic shear
Simone Vinciguerra, Nicolas Martinet, Marco Gatti
Simulation-based inference (SBI) has become a major tool for extracting cosmological information from weak-lensing (WL) surveys, particularly from non-Gaussian observables. We comp…
Euclid preparation. Refining input galaxy shape distributions for shear calibration simulations
Euclid Collaboration, H. Jansen, N. Martinet +282
The Euclid Wide Survey (EWS) will cover the majority of the extragalactic sky with a resolution similar to the Hubble Space Telescope. This unprecedented data set will introduce a…
KiDS-1000 and DES-Y1 combined: Cosmology from peak count statistics
Joachim Harnois-Deraps, Sven Heydenreich, Benjamin Giblin +10
We analyse the fourth data release of the Kilo Degree Survey (KiDS-1000) and extract cosmological parameter constraints based on the cosmic shear peak count statistics. Peaks are i…
KiDS-1000 cosmology: Combined second- and third-order shear statistics
Pierre A. Burger, Lucas Porth, Sven Heydenreich +9
This paper performs the first cosmological parameter analysis of the KiDS-1000 data with second- and third-order shear statistics. This work builds on a series of papers that descr…
KiDS-1000 Cosmology: Constraints from density split statistics
Pierre A. Burger, Oliver Friedrich, Joachim Harnois-Déraps +13
Context. Weak lensing and clustering statistics beyond two-point functions can capture non-Gaussian information about the matter density field, thereby improving the constraints on…
Persistent homology in cosmic shear II: A tomographic analysis of DES-Y1
Sven Heydenreich, Benjamin Brück, Pierre Burger +5
We demonstrate how to use persistent homology for cosmological parameter inference in a tomographic cosmic shear survey. We obtain the first cosmological parameter constraints from…