Metadata-Version: 2.4
Name: cosmopyro
Version: 0.0.1a1
Summary: Population Inference with gravitational-wave dark-siren
Author-email: Konstantin Leyde <konstantin.leyde@gmail.com>
License-Expression: MIT
Project-URL: Homepage, https://github.com/konstantinleyde/cosmopyro
Project-URL: Issues, https://github.com/konstantinleyde/cosmopyro/issues
Keywords: hamiltonian monte-carlo,cosmology,gravitational waves
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: jax
Requires-Dist: numpyro
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: corner
Requires-Dist: pyyaml
Requires-Dist: arviz
Requires-Dist: optax
Requires-Dist: rich
Requires-Dist: healpy
Dynamic: license-file

# Numpyro for GW cosmology

## **CosmoPyro**

CosmoPyro is a Bayesian framework for reconstructing the gravitational-wave population of compact binary coalescences using Hamiltonian Monte Carlo (HMC), and more specifically [NumPyro](https://num.pyro.ai/en/stable/).

## Installation Instructions

### Basic Installation

To create a new environment and install **cosmopyro**, follow these steps:

Either (1) git clone the project from the repository or (2) pip install. 

```bash
conda create -n cosmopyro-env python=3.11
conda activate cosmopyro-env
pip install -e .
```

## Running

For examples, please navigate to the examples folder, and follow the readme there. notebooks in the examples folder.

## Citation

If you use this software, please cite:

[TO WRITE](https://arxiv.org/pdf/??)

```bibtex
@article{
    TOCOLLATE
}
```

## Contact

If you have any questions, feedback, or would like to discuss this project, please don't hesitate to reach out:

Email: Konstantin.Leyde@gmail.com
