NOTE - this package is still under development. API may change!
This package is aimed at facilitating comparisons between spectral line data cubes. Included in this package are several techniques described in the literature which aim to describe some property of a data cube (or its moments/integrated intensity). We extend these techniques to be used as comparisons.
Ideally, we require a distance metric to satisfy several properties. A full description is shown in Yeremi et al. (2013). The key properties are:
- cubes with similar physics should have a small distance
- unaffected by coordinate shifts
- sensitive to differences in physical scale
- independent of noise levels in the data
Not all of the metrics satisfy the idealized properties. A full description of all statistics in this package will be shown in Koch et al. (in prep).
COMING SOON
Currently, the only way install TurbuStat is to clone the repository and run
python setup.py installThe installation will fail if a dependency is not met. In this case, update or install the missing package then attempt the install again.
Requires:
- numpy-1.6
- matplotlib-1.2
- astropy-0.4dev
- scipy-0.12
- skimage-0.7.1
- sklearn-0.13.0
- pandas-0.13
- statsmodels-0.4.0
- astrodendro-dev
Future Dependencies:
This package was developed by:
- Eric Koch
- Caleb Ward
- Erik Rosolowsky
- Jason Loeppky
