powerbox

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.

Acknowledgment

If you find powerbox useful in your research, please cite http://ascl.net/1805.001

QuickLinks

• Docs: https://powerbox.readthedocs.io
• Quickstart: http://powerbox.readthedocs.io/en/latest/demos/getting_started.html

Contents

• Examples
  • Getting Started with Powerbox
  • Create a log-normal mock dark-matter distribution
  • Changing Fourier Conventions
• License
• Changelog
  • v0.5.3 [22 May 2018]
  • v0.5.2 [17 May 2018]
  • v0.5.1 [4 May 2018]
• API Summary
  • powerbox.powerbox
  • powerbox.tools
  • powerbox.dft

Indices and tables

• Index
• Module Index
• Search Page