106 citations · 711 across the 37 of their papers we have counts for
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Bayesian inference of the initial conditions from large-scale structure surveys
Florent Leclercq
Analysis of three-dimensional cosmological surveys has the potential to answer outstanding questions on the initial conditions from which structure appeared, and therefore on the v…
Bayesian large-scale structure inference: initial conditions and the cosmic web
Florent Leclercq, Benjamin Wandelt
We describe an innovative statistical approach for the ab initio simultaneous analysis of the formation history and morphology of the large-scale structure of the inhomogeneous Uni…
Bayesian inference of dark matter voids in galaxy surveys
Florent Leclercq
We apply the BORG algorithm to the Sloan Digital Sky Survey Data Release 7 main sample galaxies. The method results in the physical inference of the initial density field at a scal…
Dark matter voids in the SDSS galaxy survey
Florent Leclercq, Jens Jasche, P. M. Sutter +2
What do we know about voids in the dark matter distribution given the Sloan Digital Sky Survey (SDSS) and assuming the model? Recent application of the Bayesian inf…
Cosmology: from theory to data, from data to theory
Florent Leclercq, Alice Pisani, Benjamin D. Wandelt
Cosmology has come a long way from being based on a small number of observations to being a data-driven precision science. We discuss the questions "What is observable?", "What in…