Metadata-Version: 2.1
Name: pycola3
Version: 0.0.7
Summary: A Python/Cython N-body code, implementing the Comoving Lagrangian Acceleration (COLA) method in the temporal and spatial domains.
Home-page: http://ascl.net/1509.007
Author: Phil Bull / Svetlin V. Tassev
Author-email: philbull@gmail.com
License: UNKNOWN
Description: pyCOLA is a multithreaded Python/Cython N-body code,
        implementing the Comoving Lagrangian Acceleration (COLA) method in the
        temporal and spatial domains.
        
        pyCOLA is based on the following two papers:
        
        1. Solving Large Scale Structure in Ten Easy Steps with
           COLA, S. Tassev, M. Zaldarriaga, D. J. Eisenstein, Journal of
           Cosmology and Astroparticle Physics, 06, 036
           (2013), [arXiv:1301.0322](http://arxiv.org/abs/arXiv:1301.0322)
        
        2. sCOLA: The N-body COLA Method Extended to the Spatial Domain, S. Tassev, D.
           J. Eisenstein, B. D. Wandelt, M. Zaldarriaga, (2015)
        
        Please cite them if using this code for scientific research.
        
        pyCOLA requires `NumPy <http://www.numpy.org/>_`, `SciPy
        <http://www.scipy.org/>`_, `pyFFTW
        <https://hgomersall.github.io/pyFFTW/index.html>`_, `h5py
        <http://www.h5py.org/>`_. Note that pyFFTW v0.9.2 does not support
        large arrays, so one needs to install the development version from
        `github <https://github.com/hgomersall/pyFFTW>`_, where the bug has
        been fixed.
        
        The pyCOLA documentation can be found
        `here <https://bitbucket.org/tassev/pycola/downloads/pyCOLA.pdf>`_, and the source
        is on `bitbucket <https://bitbucket.org/tassev/pycola>`_.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Cython
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/x-rst
