Metadata-Version: 2.4
Name: gpbilby
Version: 0.0.1
Summary: A package to perform gravitational wave data analysis combining the Whittle likelihood with Gaussian processes
Author: GPBilby Developers
Maintainer-email: Gregory Ashton <gregory.ashton@ligo.org>, Mattia Emma <mattia.emma@ligo.org>, Ann-Kirstin Malz <ann-kristin.malz@ligo.org>
License: MIT
Project-URL: Homepage, https://github.com/MattiaEmma2022/gpbilby
Project-URL: Issues, https://github.com/MattiaEmma2022/gpbilby/issues
Keywords: gravitational waves,bayesian inference,gaussian processes
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: bilby>=2.7.0
Requires-Dist: celerite
Dynamic: license-file

# gpbilby

`gpbilby` 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 papaer Emma:2026 

## Installation

### Basic installation (recommended)

Install the core package from PyPI:

```bash
pip install gpbilby

###An environment with working dependencies can be created using
conda env create -f requirements.yml

## gpbilby can then be installed by running
pip install gpbilby
