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Bayesian Astrometric Likelihood Recover of Galactic Objects

Project description

BALRoGO

pipeline status coverage report pypi python license

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BALRoGO: Bayesian Astrometric Likelihood Recover of Galactic Objects.

  • Specially developed to handle data from the Gaia space mission.
  • Extracts galactic objects such as globular clusters and dwarf galaxies.
  • Uses a combination of Bayesian and non-Bayesian approaches.
  • Provides:
    • Fits of proper motion space.
    • Fits of surface density.
    • Fits of object center.
    • Confidence regions for the color-magnitude diagram and parallaxes.

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Attribution

Please cite us if you find this code useful in your research and add your paper to the testimonials list. The BibTeX entry for the paper is:

@ARTICLE{Vitral&Mamon20b,
       author = {{Vitral}, Eduardo and {Mamon}, Gary A.},
        title = "{Does NGC 6397 contain an intermediate-mass black hole or a more diffuse inner sub-cluster?}",
      journal = {arXiv e-prints},
     keywords = {Astrophysics - Astrophysics of Galaxies},
         year = 2020,
        month = oct,
          eid = {arXiv:2010.05532},
        pages = {arXiv:2010.05532},
archivePrefix = {arXiv},
       eprint = {2010.05532},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv201005532V},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Quick overview

To be written.

Using BALRoGO on Gaia data

To be written.

License

Copyright (c) 2020 Eduardo Vitral & Alexandre Macedo.

BALRoGO is free software made available under the MIT License.

Project details


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