Installing TurbuStat¶

TurbuStat is currently only available from the github repo.

TurbuStat requires the follow packages:

• astropy>=1.0
• numpy>=1.7
• matplotlib>=1.2
• scipy>=0.12
• sklearn>=0.13.0
• pandas>=0.13
• statsmodels>=0.4.0

The following packages are optional, but required for specific functions in TurbuStat:

• spectral-cube - Efficient handling of PPV cubes. Required for calculating moment arrays in turbustat.data_reduction.Mask_and_Moments
• astrodendro-development - Required for calculating dendrograms in turbustat.statistics.dendrograms
• emcee - MCMC fitting in PCA.

When using turbustat.data_reduction.Mask_and_Moments, the noise can be automatically estimated by installing two additional packages (IN DEVELOPMENT):

• signal-id - Noise estimation in PPV cubes.
• radio_beam - A class for handling radio beams and useful utilities. Used for noise estimation in signal-id

To install the packages, clone the repository:

>>> git clone https://github.com/Astroua/TurbuStat 

Then install the package:

>>> python setup.py install 

The script will install numpy and astropy if your python installation does not have them installed. Due to package conflicts, it will NOT install the rest of the dependencies! Until this can be fixed, you can check to see if you have all of the dependencies installed by running:

>>> python setup.py check_deps 

If you find any issues in the installation, please make an issue on github or contact the developers at the email on this page. Thank you!