Metadata-Version: 2.1
Name: HarmoniaCosmo
Version: 0.1.1
Summary: Hybrid-basis Fourier analysis of large-scale galaxy clustering.
Home-page: https://github.com/MikeSWang/Harmonia/
Author: Mike S Wang
Author-email: mike.wang@port.ac.uk
License: GPLv3
Project-URL: Documentation, https://mikeswang.github.io/Harmonia
Project-URL: Source, https://github.com/MikeSWang/Harmonia/
Description: ![Harmonia](https://github.com/MikeSWang/Harmonia/raw/master/docs/source/_static/Harmonia.png)
        
        [![arXiv eprint](
        https://img.shields.io/badge/arXiv-2007.14962-important
        )](https://arxiv.org/abs/2007.14962)
        [![GitHub release (latest by date)](
        https://img.shields.io/github/v/release/MikeSWang/Harmonia?label=release
        )](https://github.com/MikeSWang/Harmonia/releases/latest)
        [![Documentation status](
        https://readthedocs.org/projects/harmonia/badge/?version=latest
        )](https://harmonia.readthedocs.io/en/latest)
        [![Build status](
        https://travis-ci.com/MikeSWang/Harmonia.svg?branch=master
        )](https://travis-ci.com/MikeSWang/Harmonia)
        [![Licence](
        https://img.shields.io/badge/licence-GPLv3-informational
        )](https://github.com/mikeswang/Harmonia/tree/master/LICENCE)
        
        
        # Hybrid-Basis Inference for Large-Scale Galaxy Clustering
        
        <span style="font-variant: small-caps">Harmonia</span> 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 first install ``nbodykit`` by following these
        [instructions](
        https://nbodykit.readthedocs.io/en/latest/getting-started/install.html).
        
        After that, you can install
        <span style="font-variant: small-caps">Harmonia</span> simply using ``pip``:
        
        ```bash
        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
        
        API documentation can be found at [mikeswang.github.io/Harmonia](
        https://mikeswang.github.io/Harmonia).  Tutorials (in the format of
        notebooks) will be gradually added in the future; for now, scripts in
        [``application/``](
        https://github.com/MikeSWang/Harmonia/tree/master/application) may offer
        illustrative examples of how to use
        <span style="font-variant: small-caps">Harmonia</span>.
        
        
        ## Attribution
        
        If you would like to acknowledge this work, please cite
        [Wang et al. (2020)](https://arxiv.org/abs/2007.14962). 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
        
        Copyright 2020, M S Wang
        
        <span style="font-variant: small-caps">Harmonia</span> is made freely
        available under the
        [GPL v3.0](https://www.gnu.org/licenses/gpl-3.0.en.html) licence.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
