A package to perform residual neural likelihood evaluation for gravitational waves
Project description
sbilby
sbilby is a Python package built on top of the bilby ecosystem, providing tools for gravitational-wave data analysis and inference, with optional integration of the LIGO Scientific Collaboration (LAL) software stack.
The package is designed to be installable via pip, while allowing advanced functionality when LAL is available.
Usage
This package can be used to reproduce the plots and results of the RNLE study of Emma:2026 through the scripts publicly available on Zenodo
Installation
Basic installation (recommended)
Install the core package from PyPI:
pip install sbilby
#####Dependencies needed to run example code from the code repository
pip install -r requirements.txt
## Optional LAL support
LAL is not available via pip. Install it using conda:
```bash
conda install -c conda-forge python-lal python-lalsimulation
pip install sbilby
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