Hybrid-Basis Inference for Large-Scale Galaxy Clustering

arXiv eprint GitHub release (latest by date) Documentation status Build status Licence

Harmonia is a Python package that combines clustering statistics decomposed in spherical and Cartesian Fourier bases for large-scale galaxy clustering likelihood analysis.

Installation

We recommend that you install nbodykit first by following these instructions.

After that, you can install Harmonia simply using pip:

pip install harmoniacosmo

Note that only here does the name harmoniacosmo appear because unfortunately on PyPI the project name harmonia has already been taken.

Documentation

  • Recipes (under construction): tutorials in the format of integrated notebooks showcasing the use of Harmonia will be gradually added, so look out for any updates! For now, application offers some scripts that illustrate the use of Harmonia.

  • API Reference: more detailed documentation of classes and functions.

Attribution

If you would like to acknowledge this work, please cite Wang et al. (2020). You may use the following BibTeX record:

@article{Wang_2020b,
    author={Wang, M.~S. and Avila, S. and Bianchi, D. and Crittenden, R. and Percival, W.~J.},
    title={Hybrid-basis inference for large-scale galaxy clustering: combining spherical and {Cartesian} {Fourier} analyses},
    year={2020},
    eprint={2007.14962},
    archivePrefix={arXiv},
    primaryClass={astro-ph.CO},
}

Licence

Harmonia is made freely available under the GPL v3.0 licence.