Name: Thibeau Wouters
Type: User
Company: Utrecht University
Bio: PhD candidate at Utrecht University, working on Bayesian data analysis tools for gravitational waves and multi-messenger astrophysics
Twitter: ThibeauWouters
Location: Utrecht, Netherlands
Blog: https://thibeauwouters.github.io/
Thibeau Wouters's Projects
Python module to compute and fit GRB afterglows.
Repository for code for KU Leuven's Artificial Neural Networks course
JAX - A curated list of resources https://github.com/google/jax
Training a surrogate model for Bu2023Ye
Cheat sheets for various programming languages
A mock data study for 3G correlated confusion noise
fiesta: Fast inference of electromagnetic signals and transients with JAX
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
:zap: Dynamically generated stats for your github readmes
Storage of introductory Python notebooks on gravitational waves & compilation of open source data and programming packages.
GRB surrogate modelling
Some datasets to be used in gravitational wave data analysis.
Github repository to get you started with GW data analysis.
A Fisher information matrix python package for GW detector networks.
Package for analysing and characterising gravitational wave data in python
Code related to physics master thesis on holographic RG flows in gauged supergravity
Code to reproduce/check any IGWN problems with GPUs.
Resources, tips, tricks,... for getting started with jax.
A hydrodynamic model of gamma-ray burst jet and afterglow
Gravitational-wave data analysis tools in Jax
Benchmarking Jim with various GPUs
H0 inference runs with jim.
Additional Jim BNS runs for Harmonic
Matching jim and harmonic to get Bayesian evidence from jim runs
Runs for IMRPhenomPv2 with the older jim version
Jax-based TOV solver
Kilonova Surrogate Modelling with cVAEs