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Simulating the Universe on a mobile phone
25-05-2020
In this post, we discuss a new algorithm to simulate the Universe on a variety of hardware architectures.
Continue reading My name is Florent Leclercq. I am a Research Fellow at the Imperial Centre for Inference and Cosmology, Imperial College London. 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. I am also a member of the Euclid Consortium.
My current research interests are related to the study of the cosmological large-scale structure using statistical data analysis tools. I am particularly interested constraining cosmology from the large-scale structure, in the initial conditions from which it 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.
In this post, we discuss a new algorithm to simulate the Universe on a variety of hardware architectures.
Continue readingI recently scanned the literature for the purpose of following and plotting the number of particles used in \(N\)-body simulations over the last five decades.
08-04-2020Likelihood-free inference provides a framework for performing Bayesian inference in cosmology, by replacing likelihood calculations with data model evaluations.
25-04-2019pySELFI 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 softwareSimbelmynë 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 softwareThis 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