powerbox 0.5.4

Create arbitrary boxes with isotropic power spectra

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