Bayesian Astrometric Likelihood Recover of Galactic Objects
Project description
BALRoGO
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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