mirror of
https://bitbucket.org/cosmicvoids/vide_public.git
synced 2025-07-04 07:11:12 +00:00
Guilhem Lavaux
affb56ff48
Port to python3, large code cleanup * Fixed command line for cosmotool * Fix path * Dump command line is log file * Fix important typo * Modify paths for example * Fix path again * Use an explicit constructor * Change file to open (python 2->3) * python3 fix for xrange in periodic_kdtree.py * Fixed index for Np, numPart, numZones, numZonesTot, partID, zoneID in catalogUtil.py
84 lines
2.4 KiB
Markdown
84 lines
2.4 KiB
Markdown
```
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\ / / |-\ -----
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\ / | | \ |
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\ / / | | |--
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\ / | | / |
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\/ / |-/ -----
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*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
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```
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This is VIDE, the Void IDentification and Examination toolkit.
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For more information, see http://www.cosmicvoids.net
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Please cite arXiv:1406.1191 and arXiv:0712.0349 if you use this software,
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using the following suggested sentence:
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"This work uses voids identified with VIDE\footnote{\url{http:www.cosmicvoids.net}} (Sutter et al. 2014),
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which implements an enhanced version of ZOBOV (Neyrinck 2008) to construct
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voids with a watershed algorithm."
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License/Copyright information
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-----------------------------
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Copyright (C) 2010-2020 Guilhem Lavaux, 2011-2014 P.M. Sutter.
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This software is put under the GNU Public License.
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Please see LICENSE for further information.
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Mainline VIDE contributions from Ben Wandelt, Nico Hamaus, Alice Pisani,
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Paul Zivick, and Qingqing Mao.
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This toolkit includes ZOBOV, originally developed by Mark Neyrinck.
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See `zobov/zobov_readme.txt` for copyright/license information.
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SDF library provided by Michael S. Warren and John Salmon.
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HOD fitting code provided by Francisco Navarro.
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HOD halo population code provided by Jeremy Tinker.
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RAMSES module provided by Benjamin B. Thompson.
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Requirements
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------------
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The package swig needs to be installed and available in the PATH (http://www.swig.org/). It
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is required by scipy and we have not decided to bundle it with VIDE at the moment.
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Quick Start Guide
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-----------------
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After installing the package with `python3 setup.py install --user`, you can execute
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```
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python3 -m void_pipeline your_config_file.py
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```
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The VIDE tools are all packaged in the `vide` package.
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Notes for CONDA
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---------------
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If you use a conda installation, you have to be sure to use all the building tools that
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are consistent. On linux that means for example installing the conda packages `gcc_linux-64`
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and `gxx_linux-64`. In addition to that it is recommended to define the environment variable
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`LIBRARY_PATH=the_path_of_your_conda_environment_with_/lib`. For example if your environment
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is in '/home/user/conda' you should define
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```
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export LIBRARY_PATH=/home/user/conda/lib
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```
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You can then initiate the construction with
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```
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python3 setup.py build
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```
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Version Summary
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-----------------
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v1.0 - Initial Release
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v2.0 - Ported to python3, revisited build system
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