MiSTree is designed with the intent of being an easy to use minimum spanning tree library. The methods and statistics used in the module are discussed in the paper “Beyond two-point statistics: using the Minimum Spanning Tree as a tool for cosmology” [ArXiv=1907.00989] which can be found here.
You will need the following python modules:
f2py cannot find a
gcc compiler then the fortran modules will not compile.
If you have this issue and are using an anaconda distribution of python then you
should be able to install
gcc directly using the commands:
conda install -c anaconda gcc
The module has been tested on Python version 2.7, 3.5 and 3.7.
To use MiSTree you must first download the package from github. Using a terminal go into the MiSTree directory and run:
This will compile a set of fortran subroutines which are called by MiSTree. If they are compiled correctly you should see a message of the form:
Check whether the fortran files have compiled. 'fortran file 1' ... Yes ... 'fortran file N' ... Yes
Assuming these compile correctly you will then need to add the MiSTree directory to your python path.
If you’re using a mac you would add this to your
.bash_profile file (a hidden file
located in your home folder):
Once this is done you should be able to call MiSTree from python:
import mistree as mist
Constructing the MST of an input data set:
- 2D, 3D, tomographic or spherical polar coordinates.
- Apply scale cuts.
Analysis routines for the MST:
- Measures the degree, edge length, branch length and branch shape of the constructed MST.
Constructs random walk distribution with :
- Lévy flight.
- Adjusted Lévy flight.
- User defined random walk distribution.
- In 2D/3D and with/without periodic boundary conditions.