Dust Grain Fitter¶
DGFit is a python package to derive dust grain size and composition
distributions based on fitting observations of interstellar dust.
If you have found a bug in
DGFit please report it by creating a
new issue on the
DGFit 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.
Like the Astropy project,
DGFit is made both by and for its
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.
DGFit 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 DGFit contributors page on Github.
- ObsData class
observed data that will be used to constrain the dust model
- DustGrains class
dust grain properties stored by dust size/composition
Full dust model including arbirary size and composition distributions.
Dust model that uses powerlaw size distributions with min/max sizes (MRN).
Dust model that uses the Weingartner & Draine (2001) size distributions.