A method for determining the radius of an open cluster from stellar proper motions
Nestor Sanchez, Emilio J. Alfaro, Fatima Lopez-Martinez

TL;DR
This paper introduces a new method using proper motion data and minimum spanning trees to objectively determine the radius of open clusters, independent of their spatial distribution.
Contribution
The paper presents a novel statistical approach for calculating open cluster radii from astrometric data, employing MST and a new cluster-field separation parameter.
Findings
Successfully applied to simulated and real data, providing consistent radius estimates.
Identified potential complexities in some clusters' proper motion distributions.
Method is robust across different datasets and cluster types.
Abstract
We propose a method for calculating the radius of an open cluster in an objective way from an astrometric catalogue containing, at least, positions and proper motions. It uses the minimum spanning tree (hereinafter MST) in the proper motion space to discriminate cluster stars from field stars and it quantifies the strength of the cluster-field separation by means of a statistical parameter defined for the first time in this paper. This is done for a range of different sampling radii from where the cluster radius is obtained as the size at which the best cluster-field separation is achieved. The novelty of this strategy is that the cluster radius is obtained independently of how its stars are spatially distributed. We test the reliability and robustness of the method with both simulated and real data from a well-studied open cluster (NGC 188), and apply it to UCAC4 data for five other…
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