Metadata-Version: 2.1
Name: HorizonGRound
Version: 0.1.1
Summary: Forward-modelling of relativistic effects from the tracer luminosity function.
Home-page: https://github.com/MikeSWang/HorizonGRound/
Author: Mike S Wang
Author-email: mike.wang@port.ac.uk
License: GPLv3
Project-URL: Documentation, https://mikeswang.github.io/HorizonGRound
Project-URL: Source, https://github.com/MikeSWang/HorizonGRound/
Description: ![HorizonGRound logo](
        https://raw.githubusercontent.com/MikeSWang/HorizonGRound/v0.1/docs/source/_static/HorizonGRound.png)
        
        [![arXiv eprint](
        https://img.shields.io/badge/arXiv-2007.01802-important
        )](https://arxiv.org/abs/2007.01802)
        [![GitHub release](
        https://img.shields.io/badge/release-v0.1-blue
        )](https://github.com/MikeSWang/HorizonGRound/releases/v0.1)
        [![Documentation status](
        https://readthedocs.org/projects/horizonground/badge/?version=stable
        )](https://horizonground.readthedocs.io/en/stable)
        [![Build status](
        https://travis-ci.com/MikeSWang/HorizonGRound.svg?branch=v0.1
        )](https://travis-ci.com/MikeSWang/HorizonGRound)
        [![Code Coverage](
        https://img.shields.io/codecov/c/github/MikeSWang/HorizonGRound
        )](https://codecov.io/gh/MikeSWang/HorizonGRound)
        [![Licence](
        https://img.shields.io/badge/licence-GPLv3-informational
        )](https://github.com/mikeswang/HorizonGRound/tree/v0.1/LICENCE)
        
        
        # Relativistic Effects in Ultra-Large-Scale Clustering
        
        <span style="font-variant: small-caps">HorizonGRound</span> is a Python
        package that offers tools for forward modelling of general relativistic
        effects from the tracer luminosity function as well as comparing relativistic
        corrections with the local primordial non-Gaussianity signature in
        ultra-large-scale clustering statistics.
        
        
        ## Installation
        
        To install, enter in bash:
        
        ```bash
        pip install HorizonGRound
        ```
        
        
        ## Documentation
        
        Quick recipes and API documentation can be found at
        [mikeswang.github.io/HorizonGRound](
        https://horizonground.readthedocs.io/en/stable).
        
        
        ## Attribution
        
        If you would like to acknowledge this work, please cite
        `Wang, Beutler & Bacon (2020) <https://arxiv.org/abs/2007.01802>`. You
        may use the following BibTeX record.
        
            @article{Wang_2020a,
                author = {Wang, M.~S. and Beutler, F. and Bacon, D.},
                title = {%
                    Impact of relativistic effects on the primordial {non-Gaussianity} %
                    signature in the large-scale clustering of quasars%
                },
                year = {2020},
                archivePrefix = {arXiv},
                primaryClass = {astro-ph.CO},
                eprint = {2007.01802},
            }
        
        
        ## Licence
        
        Copyright 2020, M S Wang
        
        <span style="font-variant: small-caps">HorizonGRound</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
