Metadata-Version: 1.0
Name: powerbox
Version: 0.5.4
Summary: Create arbitrary boxes with isotropic power spectra
Home-page: https://github.com/steven-murray/powerbox
Author: Steven Murray
Author-email: steven.murray@curtin.edu.au
License: MIT
Description: ========
        powerbox
        ========
        .. image:: https://img.shields.io/pypi/v/powerbox.svg
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        **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
Keywords: power-spectrum signal processing
Platform: UNKNOWN
