A new method for calculating the convergent point of a moving group
P. A. B. Galli, R. Teixeira, C. Ducourant, C. Bertout, P., Benevides-Soares

TL;DR
This paper introduces a novel proper motion-based convergent point search method that improves accuracy and member selection in studying stellar groups, validated through simulations and application to the Hyades cluster.
Contribution
A new algorithm combining maximum-likelihood and minimization techniques for more precise and less biased convergent point determination in stellar groups.
Findings
The new method yields more precise CP solutions in simulations.
It effectively eliminates non-member stars from the sample.
The Hyades CP result matches previous studies.
Abstract
Context: Convergent point (CP) search methods are important tools for studying the kinematic properties of open clusters and young associations whose members share the same spatial motion. Aims: We present a new CP search strategy based on proper motion data. We test the new algorithm on synthetic data and compare it with previous versions of the CP search method. As an illustration and validation of the new method we also present an application to the Hyades open cluster and a comparison with independent results. Methods: The new algorithm rests on the idea of representing the stellar proper motions by great circles over the celestial sphere and visualizing their intersections as the CP of the moving group. The new strategy combines a maximum-likelihood analysis for simultaneously determining the CP and selecting the most likely group members and a minimization procedure that…
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