Primordial power spectrum and cosmology from black-box galaxy surveys
Leclercq, Enzi, Jasche, Heavens
Bayesian optimisation for likelihood-free cosmological inference
Leclercq
The phase-space structure of nearby dark matter as constrained by the SDSS
Leclercq, Jasche, Lavaux, Wandelt, Percival
Comparing cosmic web classifiers using information theory
Leclercq, Lavaux, Jasche, Wandelt
Cosmic web-type classification using decision theory
Leclercq, Jasche, Wandelt
Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey
Leclercq, Jasche, Wandelt
Past and present cosmic structure in the SDSS DR7 main sample
Jasche, Leclercq, Wandelt
- 1
- 2
- 3
- 4
- 5
- 6
- 7
Welcome!
My name is Florent Leclercq. I am a Research Fellow at the Imperial Centre for Inference and Cosmology. I work in the fields of theoretical and observational cosmology, focusing in particular on the analysis of galaxy survey data. I have been a member of the Aquila Consortium since it was created, in 2016.
My current research interests are related to the study of the cosmological large-scale structure using statistical data analysis tools. I am particularly interested in the initial conditions from which the large-scale structure originates, its formation history and the description of the cosmic web.
Please check the full version of my CV, my list of publications and my list of communications.
News
- 23-07-2019
New page: pySELFI. - 25-04-2019
I have written a post on the Aquila Consortium's website regarding my last two papers on BOLFI and SELFI. It is available here: Algorithms for likelihood-free cosmological data analysis. - 09-01-2019
Updated page: PhD thesis and defence. - 21-12-2018
New page: Simbelmynë.
Upcoming Talks
- 20-09-2019
Approximate Bayesian Computation and novel Bayesian approaches in cosmostatistics, workshop at the Université Clermont Auvergne, Clermont-Ferrand, France
pySELFI
pySELFI is a publicly-available implementation of the Simulator Expansion for Likelihood-Free Inference algorithm, allowing primordial power spectrum inference from black-box galaxy surveys.
Public data and software
Simbelmynë
Simbelmynë is a publicly-available simulator to generate synthetic galaxy survey data. A more detailed description of the code can be found on its homepage, hosted on this website.
Public data and software
The BORG SDSS data release
This website hosts the BORG SDSS data release, a set of data products that follow a chrono-cosmographic analysis of the three-dimensional large-scale structure of the nearby Universe.
Public data and softwareBayesian large-scale structure inference and cosmic web analysis
Inférence bayésienne et analyse des grandes structures de l'Univers
My PhD