bilby-dev/bilby
Bilby pipeline integration for gravitational wave parameter estimation
bilby-dev/bilby
Integration between Asimov and the Bilby inference library for gravitational wave parameter estimation.
Features
- Fast Bayesian inference for parameter estimation
- Multiple sampler support including Dynesty and CPNest
- Flexible waveform models including IMRPhenomXPHM and other modern approximants
- Parallelized likelihood evaluation for efficient computation
- Easy prior specification through asimov blueprints
Installation
pip install asimov-bilby
Quick Start
Use the production-default analysis template in your asimov project:
asimov apply -f https://git.ligo.org/asimov/data/-/raw/main/analyses/production-default.yaml -e GW150914_095045
Documentation
Status
Stable - Actively maintained and production-ready
Use Cases
- Parameter estimation for gravitational wave events
- Bayesian inference on detector data
- Waveform model comparison studies