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Clustering stellar pairs to detect extended stellar structures

Published online by Cambridge University Press:  20 January 2023

Sergey Sapozhnikov
Affiliation:
Institute of Astronomy RAS, Pyatnitskaya 48., Moscow, Russia
Dana Kovaleva
Affiliation:
Institute of Astronomy RAS, Pyatnitskaya 48., Moscow, Russia
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Abstract

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Gaia data allows for search for extended stellar structures in phase (coordinates plus velocities) space. We describe a method of using DBSCAN clustering algorithm, which is used to group closely-packed-together data points, to a list of preliminary selected pairs of stars, with parameters expected to be found within stellar streams and comoving groups: loose structures in which stars are not gravitationally bound, but do share motion and evolutionary properties. To test our approach, we construct a model population of background stars, and use pair-constructing and clustering algorithms on it. Results show that transitioning to a list of pairs sharply reveals structures not presented in background model, which then become more apparent targets in coordinate-velocity phase space for DBSCAN algorithm thanks to now increased relative density of the extended stellar structure.

Type
Poster Paper
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

References

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