Skip to main content

Python Module to compute the covariance of two-point clustering statistics

Project description

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:

     pip install gaussiancovariance 
  • From this repository

    • Clone the repository:

       git clone https://gitlab.com/veropalumbo.alfonso/gaussiancovariance/ 
    • Install:

       pip install .

Usage

Please refer to the demo folder for basic examples

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

GaussianCovariance-1.0.3.tar.gz (16.9 kB view hashes)

Uploaded Source

Built Distribution

GaussianCovariance-1.0.3-py3-none-any.whl (16.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page