TL;DR
This study uses Gaia DR1 data and a clustering algorithm to identify new members of the Upper Scorpius star-forming region, validating a method for robust member selection in stellar clusters.
Contribution
It introduces a density-based clustering approach (DBSCAN) applied to Gaia data for identifying cluster members, including new candidates, and validates its effectiveness.
Findings
Identified 167 candidate members, 78 of which are new.
Candidates are within 10° radius, at ~146 pc distance.
Proper motions are consistent with known members.
Abstract
Context. Selecting a cluster in proper motion space is an established method for identifying members of a star forming region. The first data release from Gaia (DR1) provides an extremely large and precise stellar catalogue, which when combined with the Tycho-2 catalogue gives the 2.5 million parallaxes and proper motions contained within the Tycho-Gaia Astrometric Solution (TGAS). Aims. We aim to identify new member candidates of the nearby Upper Scorpius subgroup of the Scorpius-Centaurus Complex within the TGAS catalogue. In doing so, we also aim to validate the use of the DBSCAN clustering algorithm on spatial and kinematic data as a robust member selection method. Methods. We constructed a method for member selection using a density-based clustering algorithm (DBSCAN) applied over proper motion and distance. We then applied this method to Upper Scorpius, and evaluated the results…
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