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Missing pairs in open cluster catalogs
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Missing pairs in open cluster catalogs
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Missing pairs in open cluster catalogs
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Missing pairs in open cluster catalogs
Missing pairs in open cluster catalogs
Paper

Missing pairs in open cluster catalogs

2026
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Overview
Open clusters (OCs) in our Galaxy can be found in pairs, possibly forming physical binaries, or in groups. Such objects offer unique insights into the process of star formation. They testify of dynamical interactions at the local and Galactic scales. Making their census as complete as possible is therefore a valuable endeavor. This work aims to identify and characterize new OC pair candidates that were overlooked in previous studies. Two recent comprehensive catalogs were cross-matched in order to identify OCs in the first catalog that are missing in the second one. From this list, counterparts in the second catalog were searched within a three-dimensional distance of 50 pc. Candidate pairs were then selected by applying constraints on the tangential velocity difference. Orbital integration was performed to assess gravitational binding. Similarity in radial velocity and age was evaluated. We identify seven isolated binary cluster candidates, comprising two likely bound systems with stable orbits over 100 Myr, two pairs with a possible common origin but lacking radial velocity confirmation, and three pairs with significant velocity discrepancies suggesting they are unbound or in transitional states. We also identify six cluster group candidates, refining the membership of known complexes such as UBC_672 and NGC_1977, and discovering a new group around FSR_0198. Notably, the UBC_392 group exhibits coherent proper motions but inconsistent radial velocities and large age spreads, indicating it is not gravitationally bound. Additionally, we reconcile 15 clusters with discrepant nomenclature between the two catalogs. Multi-catalog integration combined with kinematic and dynamical validation is essential for establishing a complete census of Galactic cluster pairs. Our findings expand the known binary cluster sample and provide refined targets for future studies.
Publisher
Cornell University Library, arXiv.org