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This is VIDE, the Void IDentification and Examination toolkit.

Requirements

  • CMake
  • Python 2.7
  • NumPy
  • SciPy
  • Matplotlib

Quick Setup

ccmake ./
make
add path/to/vide/ext_build/python/lib/python2.7/site-packages/ to PYTHONPATH
cd pipeline/
./prepareInputs.py --scripts --parm=path/to/dataset.py
./generateCatalog.py path/to/parameter_file.py

Guide

Installation

Preparation

Void Finding

Analysis

Citing VIDE

Please cite the following papers if you use VIDE for your work: arXiv:1406.1191 and arXiv:0712.3049. We recommend the following structure:

This work uses voids identified with VIDE\footnote{\url{http://www.cosmicvoids.net}} (Sutter et al. 2014), which implements an enhanced version of ZOBOV (Neyrinck 2008) to construct voids with a watershed algorithm.

Note that if you use one of the public void catalogs, the catalog README will instruct you to reference the appropriate paper(s).

Credits

Originally developed by Guilhem Lavaux and P.M. Sutter, with contributions from Ben Wandelt, Nico Hamaus, Alice Pisani, Paul Zivick, and Qingqing Mao.

Based on ZOBOV developed by Mark Neyrinck.

HOD code developed by Jeremy Tinker.

SDF library developed by Mike Warren and John Salmon.

fit_hod code provided by Francisco Navarro.

RAMSES module provided by Benjamin B. Thompson.

User guide written by P.M. Sutter and Alice Pisani.

Contributing to VIDE

We welcome comments, suggestions, and most importantly bug fixes. Write permissions will be granted on a case-by-case basis, although the pull request functionality is heavily encouraged. If you want to make a major contribution or addition, we suggest that you author a journal paper featuring the addition in an application. We will then request that users of the added functionality cite that paper in addition to the main VIDE paper.

Have fun!

Updated