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« Simulation-based large-scale structure inference »

Florent Leclercq
Department of Physics, Imperial College (Londres, Royaume-Uni)

The last few years have seen vast progress in the field of generative large-scale structure inference, which differs in intent from traditional measurements of statistical summaries from galaxy survey catalogues. In this talk, I will present the outcomes of recent methodological advances, aiming at fitting large-scale structure data with a very general numerical model: a noisy non-linear dynamical system with millions of latent variables. The proposed approach reduces the number of required simulations by several orders of magnitude, yet the computational cost remains a major challenge. As an answer, in a second part, I will introduce an innovative approach for embarrassingly parallel cosmological simulations, based on a spatial splitting of the considered volume in a frame comoving with Lagrangian Perturbation Theory observers.
mardi 23 janvier 2018 - 11:15
Salle 281
Institut d'Astrophysique de Paris
Pages web du séminaire / Seminar's webpage