Code

Code

Below is listed some of the software developed and used as part of WISDOM. Click for more information.

​KinMS_fitter

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.

Python 3.8 PyPI version GitHub

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GAStimator

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.


Python 3.8 PyPI version GitHub

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KinMS

The KINematic Molecular Simulation) package can be used to kinematically model observations of arbitary molecular/atomic cold gas distributions. These are the lower-level routines that power KinMS_fitter.

Python 3.8 PyPI version ASCL GitHub

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Stackarator

A tool for stacking interferometric data of extended sources (such as nearby galaxies) to extract weak emission lines.


Python 3.8 PyPI version GitHub

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pymakeplots

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.

Python 3.8 PyPI version GitHub

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