bosscha / gaia-shock

Code to extract stellar clusters and tidal tails using Gaia data. The main stellar cluster is extracted by optimizing the DBSCAN parameters and the isolated stars ("tails") by minimizing the CMD distance.
MIT License
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astronomy clustering julia python

gaia-shock

Pipeline to extract stellar clusters from GAIA data as votable. The method is using a DBSCAN-optimized clustering method in the 8-fold dimension with photometry and astrometry data. The optimization the clustering parameters is performed with an Approximate Bayesian Computation method (Weyant et al. 2013). The extraction process is currently with a stable version using the Julia language for speed constraint. An (experimental) capability is offered from version 1.7 to fit an isochrone and to extract more isolated stars in a second step ("tails", subclumps, etc). Be aware that some stellar clusters are not physically real and a final cleaning can be done with some Jupyter NB but are still experimental. A visual inspection of the final stellar cluster is still recommended. The current version is working with Gaia DR3 data.

Documentation and information can be found in the wiki pages.