Metadata-Version: 2.1
Name: dsharp_opac
Version: 1.1.6
Summary: python routines to calculate mie opacities
Home-page: https://github.com/birnstiel/dsharp_opac
Author: Til Birnstiel & DSHARP collaboration
Author-email: til.birnstiel@lmu.de
License: GPLv3
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        [![DOI](https://zenodo.org/badge/137751482.svg)](https://zenodo.org/badge/latestdoi/137751482)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/birnstiel/dsharp_opac/master?filepath=notebooks%2Findex.ipynb)
        
        # DSHARP Mie-Opacity Library
        
        This repository contains a module to carry out Mie opacity calculations based on
        a range of astrophysically relevant optical datasets and to calculate the
        default opacity tables used in the Disk Substructures at High Angular Resolution
        Project ([DSHARP](https://almascience.eso.org/almadata/lp/DSHARP/), PI: S. Andrews).
        
        This package was created by [T. Birnstiel](https://www.til-birnstiel.de) and [C.P. Dullemond](http://www.ita.uni-heidelberg.de/~dullemond).
        
        ## Credit
        
        If you use this package, please cite [Birnstiel et al. (2018)](https://doi.org/10.3847/2041-8213/aaf743).
        
        If you use any optical constants, please cite the appropriate experimental papers. The reference will be displayed upon import of the constants.
        
        ## Installation
        
        -   From [source](https://github.com/birnstiel/dsharp_opac/archive/master.zip): go into the base directory (where this `README.md` is) and run
        
                pip install .
        
              Should you work on the sources, e.g. for including new optical constants or new mehtods, then we recommend linking the installation to the source folder. Changes to the sources will then be reflected upon `import dsharp_opac` without the need to reinstall the package.
        
        - last release from [pypi.org](pypi.org):
        
                pip install dsharp_opac
        
        Note: some of the optical constants rely on data files that will be downloaded
        upon first use of that particular class.
        
        ## Tests & Examples
        
        You can find some jupyter notebooks in the [notebooks folder](notebooks/index.ipynb) that demonstrate some of the functionality of this package. It also contains the notebooks and data that were used to create the figures in [Birnstiel et al. (2018)](https://doi.org/10.3847/2041-8213/aaf743).
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
