Metadata-Version: 2.1
Name: GaussianCovariance
Version: 1.0.1
Summary: Python Module to compute the covariance of two-point clustering statistics
Home-page: https://gitlab.com/veropalumbo.alfonso/gaussiancovariance
Author: Alfonso Veropalumbo
Author-email: Alfonso Veropalumbo <alfonso.veropalumbo@inaf.it>, Elena Sarpa <sarpa@cppm.in2p3.fr>
Project-URL: Homepage, https://gitlab.com/veropalumbo.alfonso/gaussiancovariance/
Project-URL: Bug Tracker, https://gitlab.com/veropalumbo.alfonso/gaussiancovariance/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy

# GaussianCovariances

Python Module to compute the covariance of 
two-point clustering statistics (power-spectrum and two-point correlation multipoles), 
based on the work described in Grieb et al. 2016 (https://arxiv.org/abs/1509.04293).

## Installation

You can install this package in two ways:

* Using pip:

    <pre> pip install gaussiancovariance </pre>

* From this repository
    - Clone the repository:

       <pre> git clone https://gitlab.com/veropalumbo.alfonso/gaussiancovariance/ </pre>
    - Install:

        <pre> pip install .</pre>

# Usage

Please refer to the demo folder for basic examples


    

