Dust Grain Fitter

DGFit is a python package to derive dust grain size and composition distributions based on fitting observations of interstellar dust.

User Documentation

• Running DGFit
  • Commandline
• Observed Data
  • Examples
• Plotting results
  • Results
• Size Distributions
  • Arbitrary
  • MRN77
  • WD01
• Dustgrain properties
  • General properties
  • Effective size
  • Single grain properties
  • R(V)

Installation

• How to install
  • From source
  • Using pip

Repository

GitHub: DGFit

Quick Start

Material needed.

Reporting Issues

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.

Contributing

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. Take a look at the astropy developer documentation for guidelines.

For the complete list of contributors please see the DGFit contributors page on Github.

Reference API

dgfit.obsdata Module

Classes

ObsData(obs_filename[, path])

ObsData Class

Class Inheritance Diagram

dgfit.dustgrains Module

Classes

DustGrains()

DustGrains Class

Class Inheritance Diagram

dgfit.dustmodel Module

Classes

DustModel([componentnames, path, dustmodel, ...])	Full dust model including arbitrary size and composition distributions.
MRN77DustModel(**kwargs)	Dust model that uses powerlaw size distributions with min/max sizes (MRN).
WD01DustModel(**kwargs)	Dust model that uses the Weingartner & Draine (2001) size distributions.
ZDA04DustModel(**kwargs)	Dust model that uses the Zubko et al. (2004) size distributions.
Y24DustModel(**kwargs)	Dust model that uses the Themis 2.0 (2024) size distributions.
HD23DustModel(**kwargs)	Dust model that uses the Hensley & Draine (2023) size distributions.
Lognormal(**kwargs)	Dust model that uses lognormals for the size distributions.

Class Inheritance Diagram