274 citations · 4.6k across the 115 of their papers we have counts for
5 papers · 1 filter
Bayesian inference of CMB gravitational lensing
Ethan Anderes, Benjamin Wandelt, Guilhem Lavaux
The Planck satellite, along with several ground based telescopes, have mapped the cosmic microwave background (CMB) at sufficient resolution and signal-to-noise so as to allow a de…
Answers from the void: VIDE and its applications
P. M. Sutter, N. Hamaus, A. Pisani +2
We discuss various applications of VIDE, the Void IDentification and Examination toolkit, an open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys and N-b…
Testing cosmic geometry without dynamic distortions using voids
Nico Hamaus, P. M. Sutter, Guilhem Lavaux +1
We propose a novel technique to probe the expansion history of the Universe based on the clustering statistics of cosmic voids. In particular, we compute their two-point statistics…
VIDE: The Void IDentification and Examination toolkit
P. M. Sutter, Guilhem Lavaux, Nico Hamaus +7
We present VIDE, the Void IDentification and Examination toolkit, an open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys and N-body simulations, charact…
Matrix-free Large Scale Bayesian inference in cosmology
Jens Jasche, Guilhem Lavaux
In this work we propose a new matrix-free implementation of the Wiener sampler which is traditionally applied to high dimensional analysis when signal covariances are unknown. Spec…