https://github.com/egpbos/pycola
N-body using Comoving Lagrangian Acceleration (COLA) method
https://github.com/egpbos/pycola
Last synced: 3 months ago
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N-body using Comoving Lagrangian Acceleration (COLA) method
- Host: GitHub
- URL: https://github.com/egpbos/pycola
- Owner: egpbos
- License: gpl-3.0
- Created: 2019-08-21T11:42:29.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-08-21T11:42:50.000Z (almost 6 years ago)
- Last Synced: 2025-01-13T05:11:37.947Z (5 months ago)
- Language: Python
- Size: 256 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: COPYING
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README
**Author:** Svetlin V. Tassev (Harvard U, Princeton U)
**Initial public release date:** Jul 3,2014
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)
If you use pyCOLA or the COLA method in the spatial and/or time domains for scientific work, we kindly ask you to reference the papers above.
* pyCOLA is free and open-source software, distributed under the GPLv3 license.
* To build the code, you need to run:
```
#!bash
python setup.py build_ext --inplace
```
* To compile successfully, you need to have the following packages installed: [Python 2.7](https://www.python.org/), [Cython](http://cython.org/), [NumPy](http://www.numpy.org/), [SciPy](http://www.scipy.org/),[pyFFTW](https://hgomersall.github.io/pyFFTW/index.html), [h5py](http://www.h5py.org/), as well as their respective dependencies. 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.
* Read the manual [here](https://bitbucket.org/tassev/pycola/downloads/pyCOLA.pdf).