Clustering stellar pairs to detect extended stellar structures

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...

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Bibliographic Details
Published in:Proceedings of the International Astronomical Union Vol. 16; no. S362; pp. 150 - 151
Main Authors: Sapozhnikov, Sergey, Kovaleva, Dana
Format: Journal Article
Language:English
Published: Cambridge, UK Cambridge University Press 01.06.2020
Subjects:
Algorithms
Astronomy
Clustering
Data points
Data search
Poster Paper
Specific gravity
Stars
Stellar structure
galaxies: structure
stars: kinematics
galaxies: star clusters
ISSN:1743-9213, 1743-9221
Online Access:Get full text
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Summary: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.
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ISSN:1743-9213
1743-9221
DOI:10.1017/S1743921322001697