I am Jules Perret, a PhD candidate in gravitational astrophysics at the Astroparticle and Cosmology Laboratory (APC-CNRS). Currently in the final year of my PhD, I mainly focus on advanced methods for Parameter Estimation (PE) of compact binary systems, such as binary neutron stars and binary black holes, using Bayesian techniques and deep neural networks. Iām also strongly interested by numerical simulations and High Performance Computing ( Parallel and GPU devellopment ) for astrophysics applications.
About Me
- Specializing in gravitational astrophysics and gravitational waves data analysis. š
- Member of the LIGO-Virgo-Kagra (LVK) and Einstein Telescope (ET) collaborations. š«
- Passionate about astrophysics, numerical simulation, and HPC programming š»
- Member of the Societe Astronomique de Bourgogne (SAB).
- Enthusiastic builder and drone/UAV. š
Recent Projects
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DeepHMC: A deep neural network-based Hamiltonian Monte Carlo algorithm for compact binary parameter estimation.
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Vanilla HMC: A simple 2-dimensional Hamiltonian Monte Carlo, primarily used for outreach and teaching purposes. The code is available here in my GitHub repository.