Hybrid-Basis Inference for Large-Scale Galaxy Clustering¶
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.