megabeast is a Bayesian model that fits ensembles of BEAST results for
single stars to derive stellar population and dust/star geometry parameters.
Thus, the combination of the BEAST and megaBEAST is a Hierarchical Bayesian
model. The goal is to create maps of stellar and dust parameters of galaxies
(e.g., A(V) or stellar age).
If you have found a bug in
megabeast please report it by creating a
new issue on the
megabeast GitHub issue tracker.
Please include an example that demonstrates the issue sufficiently so that the developers can reproduce and fix the problem. You may also be asked to provide information about your operating system and a full Python stack trace. The developers will walk you through obtaining a stack trace if it is necessary.
users. We accept contributions at all levels, spanning the gamut from fixing a typo in the documentation to developing a major new feature. We welcome contributors who will abide by the Python Software Foundation Code of Conduct.
dust_extinction follows the same workflow and coding guidelines as
Astropy. The following pages will help you get started with contributing
fixes, code, or documentation (no git or GitHub experience necessary):
For the complete list of contributors please see the megabeast contributors page on Github.