Metadata-Version: 2.4
Name: desk
Version: 1.9.1
Summary: The DESK is an SED-fitting python scripts for fitting data from evolved stars
Home-page: https://github.com/s-goldman/Dusty-Evolved-Star-Kit/
Author: Steven R. Goldman
Author-email: sgoldman@stsci.edu
License: BSD license
Keywords: Dusty-Evolved-Star-Kit
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
License-File: LICENSE
Requires-Dist: astropy
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: ipdb
Requires-Dist: matplotlib
Requires-Dist: h5py
Requires-Dist: wheel
Requires-Dist: twine
Requires-Dist: sphinx
Requires-Dist: sphinx_automodapi
Requires-Dist: pytest-cov
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: summary

======================
Dusty-Evolved-Star-Kit
======================




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**: A csv file 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. A range of
other model grids, including state-of-the-art dust-growth models by `Nanni et al. (2019)`_
, are downloaded automatically and used when selected. Descriptions of the model
grids can be found in the Documentation_. A module for creating your own DUSTY_ grid
is under development, but for now, please email me (`Dr. Steven Goldman`_) directly
for potential grid requests or for help with the package.

* Free software: BSD license
* Documentation: https://dusty-evolved-star-kit.readthedocs.io.


* TODO

**Credits**: This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Github: https://github.com/s-goldman/Dusty-Evolved-Star-Kit
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
.. _DUSTY : https://github.com/ivezic/dusty
.. _Documentation : https://dusty-evolved-star-kit.readthedocs.io/en/latest/grids.html
.. _Nanni et al. (2019) : https://ui.adsabs.harvard.edu/abs/ 2019MNRAS.487..502N/abstract
.. _GRAMS : https://2dust.stsci.edu/grams_models.cgi
.. _2DUST : https://2dust.stsci.edu/index.cgi
.. _`Dr. Steven Goldman` : http://www.stsci.edu/~sgoldman/
