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vida.jl's Introduction

VIDA

Stable Dev Build Status Coverage DOI

VIDA.jl or the Variational Image Domain Analysis provides a interface to extracting features from fits images created for the EHT, using the notion of probability divergences similar to variational inference, hence the name. The currently implemented divergences are the Bhattacharyya distance/divergence as well as the Kullback-Leibler divergence. These are used to extract ring-like features from image reconstructions of black holes such as from M87.

For more information on how to use VIDA please refer to the documentation

Installation

VIDA.jl is registered so to install it just go into the REPL and type ]add VIDA.

Distributed scripts

In the examples folder we have a complete script that shows how to use VIDA on a cluster to extract image features from multiple images at the same time. Please see the README in the scripts folder for more information.

Citation

If you use this work in a paper please use the following citation:

@ARTICLE{VIDA,
       author = {{Tiede}, Paul and {Broderick}, Avery E. and {Palumbo}, Daniel C.~M.},
        title = "{Variational Image Feature Extraction for the Event Horizon Telescope}",
      journal = {ApJ},
     keywords = {1338, 1647, 16, 162, 1855, 293},
         year = 2022,
        month = feb,
       volume = {925},
       number = {2},
          eid = {122},
        pages = {122},
          doi = {10.3847/1538-4357/ac3a6b},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...925..122T},
}

vida.jl's People

Contributors

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vida.jl's Issues

Separating out EHTImage stuff into a separate package

I would really like to separate out the EHTImage stuff from VIDA.

  • This would allow me to better interface with eht-imaging using PyCall
  • EHTImage is really separate from VIDA! VIDA should just be filters and convenience functions...

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