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
Cheat sheets for various programming languages
A mock data study for 3G correlated confusion noise
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
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
Runs for IMRPhenomPv2 with the older jim version
Jax-based TOV solver
Kilonova Surrogate Modelling with cVAEs
flowMC based sampler for KN inference runs
Kilonova inference on GPU with NMMA, jax, and flax.
My LIGO/Virgo files
Github to save and share files related to the KU Leuven master of artificial intelligence.
Files and notes for the master thesis of artificial intelligence.