vide_public/README.md

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This is VIDE, the Void IDentification and Examination toolkit.
For more information, see http://www.cosmicvoids.net
Please cite arXiv:1406.1191 and arXiv:0712.0349 if you use this software,
using the following suggested sentence:
"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."
License/Copyright information
-----------------------------
Copyright (C) 2010-2025 CNRS, Author: Guilhem Lavaux, 2011-2014 P.M. Sutter.
This software is put under the GNU Public License.
Please see LICENSE for further information.
Mainline VIDE contributions from Ben Wandelt, Nico Hamaus, Alice Pisani,
Paul Zivick, and Qingqing Mao.
This toolkit includes ZOBOV, originally developed by Mark Neyrinck.
See `zobov/zobov_readme.txt` for copyright/license information.
SDF library provided by Michael S. Warren and John Salmon.
HOD fitting code provided by Francisco Navarro.
HOD halo population code provided by Jeremy Tinker.
RAMSES module provided by Benjamin B. Thompson.
Requirements
------------
The package swig needs to be installed and available in the PATH (http://www.swig.org/). It
is required by scipy and we have not decided to bundle it with VIDE at the moment.
Quick Start Guide
-----------------
It is generally advised to create a python3 virtual environment. This can be achieved as follows
```
python3 -m venv --system-site-packages $PLACE_OF_VENV
source $PLACE_OF_VENV/bin/activate
```
where `$PLACE_OF_VENV` is where you decide to put your environment on your
harddrive (e.g. `$HOME/my_venv`).
Note: on OSX there are some difficulties to use the native clang compiler.
Please use a brew installed compiler like GCC.
```
brew install gcc
export CC=/usr/local/bin/gcc-10
export CXX=/usr/local/bin/g++-10
```
The gcc-10 is of course dependent on the version that was installed by brew.
After this step you may start the build process
```
python3 setup.py build
```
It will take a lot of time. It may also download python packages that you miss
on your system. On BigSur some of them fail to compile by default.
After installing the package with
```python3 setup.py install
```
To test that the package is indeed installed you can execute
```
python3 -m void_pipeline
```
which will state
```
Usage: ./generateCatalog.py parameter_file.py
```
The VIDE tools are all packaged in the `vide` package.
Running with simulation
-----------------------
Using simulation requires a preliminary step, consisting in using the script
`vide_prepare_simulation` which is installed during the installation procedure.
The script generates mock catalog and a default pipeline to handle simulations.
An example of the complete procedure is given here-below:
```
mkdir $HOME/my_vide_test
cp python_tools/void_pipeline/datasets/example_simulation.py $HOME/my_vide_test
mkdir $HOME/my_vide_test/examples
cp examples/example_simulation_z0.0.dat $HOME/my_vide_test/examples
cd $HOME/my_vide_test
vide_prepare_simulation --all --parm example_simulation.py
python3 -m void_pipeline example_simulation/sim_ss1.0.py
```
The example copies the required data in a separate directory. Then, we execute
the `vide_prepare_simulation` script to generate the auxiliary pipeline. The
`void_pipeline` is finally executed on this generated script.
Notes for CONDA
---------------
If you use a conda installation, you have to be sure to use all the building tools that
are consistent. On linux that means for example installing the conda packages `gcc_linux-64`
and `gxx_linux-64`. In addition to that it is recommended to define the environment variable
`LIBRARY_PATH=the_path_of_your_conda_environment_with_/lib`. For example if your environment
is in '/home/user/conda' you should define
```
export LIBRARY_PATH=/home/user/conda/lib
```
You can then initiate the construction with
```
python3 setup.py build
```
Version Summary
-----------------
v1.0 - Initial Release
v2.0 - Ported to python3, revisited build system