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2018 | OriginalPaper | Buchkapitel

Aggregation of Knowledge on Star Cluster Structure and Kinematics in Data Intensive Astronomy

verfasst von : Sergei V. Vereshchagin, Ekaterina S. Postnikova

Erschienen in: Data Analytics and Management in Data Intensive Domains

Verlag: Springer International Publishing

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Abstract

A technique for studying the star motions inside the open star clusters is proposed. It allows for revealing the details of the spatial and kinematic cluster structure on the basis of precise measurements of the astrometric parameters of the stars. By successively scanning a lot of clusters and applying a uniform technique, a processing pipeline is built. Analysis of such mass processing results reveals the patterns and relationships of the internal arrangement of clusters with their parameters and position in the Galaxy. Actually, the problem has become more interesting by the recently launched space telescope Gaia, in particular, for the membership of star clusters.

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Titel: Aggregation of Knowledge on Star Cluster Structure and Kinematics in Data Intensive Astronomy
verfasst von: Sergei V. Vereshchagin
Ekaterina S. Postnikova
Verlag: Springer International Publishing
Buch: Data Analytics and Management in Data Intensive Domains
Print ISBN: 978-3-319-96552-9

Electronic ISBN: 978-3-319-96553-6

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-96553-6_9

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