tesseract


Nametesseract JSON
Version 0.1.3 PyPI version JSON
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home_pagehttp://vpac00.phy.vanderbilt.edu/~langmm/index.html
SummaryTesselation based Recovery of Amorphous halo Concentrations
upload_time2015-07-13 21:21:24
maintainer
docs_urlNone
authorMeagan Lang
requires_pythonNone
licenseUNKNOWN
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            The TesseRACt package is designed to compute concentrations of simulated dark
matter halos from volume info for particles generated using Voronoi tesselation.
This technique is advantageous as it is non-parametric, does not assume 
spherical symmetry, and allows for the presence of substructure. For a more
complete description of this technique including a comparison to other 
techniques for calculating concentration, please see the accompanying paper 
`Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.

This package includes:
 * **vorovol**: C program for computing the Voronoi diagram of particle data in a number of formats including Gadget-2, Gasoline, binary, and ASCII as well as BGC2 halo catalogues.
 * routines for compiling, running, and parsing **vorovol** output
 * routines for computing concentrations using particles volumes, traditional fitting to an NFW profile, and non-parametric techniques that assume spherical symmetry.
 * routines and test halos for running many of the performance tests presented in `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_.

Below are some useful links associated with TesseRACt:
 * `PyPI <https://pypi.python.org/pypi/tesseract>`_ - The most recent stable release.
 * `Docs <http://pytesseract.readthedocs.org/en/latest/>`_ - Tutorials and descriptions of the package modules and functions.
 * `Lang et al. (2015) <http://arxiv.org/abs/1504.04307>`_ - The accompanying scientific paper.

If you would like more information about TesseRACt, please contact `Meagan Lang <mailto:cfh5058@gmail.com>`_.
            

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