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The DESK is an SED-fitting python scripts for fitting data from evolved stars

Project description


The DESK is an SED-fitting python package for fitting data from evolved stars (photometry or spectra) with radiative transfer model grids. The package is currently in development and all contributions are welcomed. For current progress, see the ‘Issues’ tab on the Github page. The package is ideal for fitting small samples of dusty evolved stars. It will soon utilize a bayesian-fitting strategy with mass-loss rate and luminosity distributions as inputs (priors), and will provide a better fit to these broader sample properties.

Input: A csv file with the first column as wavelength in um and second column as flux in Jy. To fit multiple csv files, put them in a directory, and use the directory name as the input.

Output: Two results files including the best fit model and corresponding stellar parameters, as well as an optional figure of the fit SED. Available model grids: Several grids are already available upon installation. Descriptions of the model grids can be found in the Documentation. You will soon be able to specify the state-of-the-art dust growth models by Nanni et al. (2019) and the 2D GRAMS model grid based on the 2DUST code, which are automatically downloaded and used when selected. A module for creating your own DUSTY grid is under development, but for now, please email me (Dr. Steven Goldman) directly for grid requests or for help with the package.

Credits: This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


1.3.1 (2019-04-29)

  • First release on PyPI.

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