Below is listed some of the software developed and used as part of WISDOM. Click for more information.
A new powerful wrapper to KinMS that simplifies kinematic modelling within python, and adds new functionality.
KinMS_fitter takes the power of the KinMS base class, and simplifies and automates typical kinematic modelling tasks, providing an easy but highly customisable (and easily scriptable) interface.
Implementation of a Python MCMC gibbs-sampler with adaptive stepping. While this is a simple MCMC algorithm, it is robust and stable and well suited to high dimensional problems with many degrees of freedom and very sharp likelihood features.
For instance kinematic modelling of datacubes with this code has been found to be orders of magnitude quicker than using more advanced affine-invariant MCMC methods. Used extensively in KinMS_fitter.
A tool for stacking interferometric data of extended sources (such as nearby galaxies) to extract weak emission lines.
A python module for making publication quality plots and output datafiles (including moment zero, one, two, PVD’s and spectra) from interferometric datacubes. Uses the masked moment method, and includes the ability to primary beam correct.