Primordial power spectrum and cosmology from black-box galaxy surveys

Leclercq, Enzi, Jasche, Heavens

Primordial power spectrum and cosmology from black-box galaxy surveys

Bayesian optimisation for likelihood-free cosmological inference

Leclercq

Bayesian optimisation for likelihood-free cosmological inference

The phase-space structure of nearby dark matter as constrained by the SDSS

Leclercq, Jasche, Lavaux, Wandelt, Percival

The phase-space structure of nearby dark matter as constrained by the SDSS

Comparing cosmic web classifiers using information theory

Leclercq, Lavaux, Jasche, Wandelt

Comparing cosmic web classifiers using information theory

Cosmic web-type classification using decision theory

Leclercq, Jasche, Wandelt

Cosmic web-type classification using decision theory

Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey

Leclercq, Jasche, Wandelt

Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey

Past and present cosmic structure in the SDSS DR7 main sample

Jasche, Leclercq, Wandelt

Past and present cosmic structure in the SDSS DR7 main sample
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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.

Research interestsPublicationsMedia and outreach


pySELFI

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

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
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 software

Bayesian large-scale structure inference and cosmic web analysis

Inférence bayésienne et analyse des grandes structures de l'Univers

My PhD