Skip to main content

Create arbitrary boxes with isotropic power spectra

Project description

https://img.shields.io/pypi/v/powerbox.svg https://travis-ci.org/steven-murray/powerbox.svg?branch=master https://coveralls.io/repos/github/steven-murray/powerbox/badge.svg?branch=master https://api.codacy.com/project/badge/Grade/5853411c78444a5a9c6ec4058c6dbda9

Make arbitrarily structured, arbitrary-dimension boxes and log-normal mocks.

powerbox is a pure-python code for creating density grids (or boxes) that have an arbitrary two-point distribution (i.e. power spectrum). Primary motivations for creating the code were the simple creation of log-normal mock galaxy distributions, but the methodology can be used for other applications.

Features

  • Works in any number of dimensions.

  • Really simple.

  • Arbitrary isotropic power-spectra.

  • Create Gaussian or Log-Normal fields

  • Create discrete samples following the field, assuming it describes an over-density.

  • Measure power spectra of output fields to ensure consistency.

  • Seamlessly uses pyFFTW if available for ~double the speed.

Installation

Clone/Download then python setup.py install. Or just pip install powerbox.

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

powerbox-0.4.3.tar.gz (10.1 kB view hashes)

Uploaded Source

Built Distribution

powerbox-0.4.3-py2-none-any.whl (15.9 kB view hashes)

Uploaded Python 2

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