powerbox 0.8.2

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

Simply pip install powerbox. If you want ~2x speedup for large boxes, you can also install pyfftw by doing pip install powerbox[all]. If you are a conda user, you may want to install numpy with conda first. If you want to develop powerbox, clone the repo and install with python -m pip install -e ".[dev]".

Acknowledgment

If you find powerbox useful in your research, please cite the Journal of Open Source Software paper at https://doi.org/10.21105/joss.00850.

QuickLinks

• Docs: https://powerbox.readthedocs.io

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