| Issue |
A&A
Volume 704, December 2025
|
|
|---|---|---|
| Article Number | A167 | |
| Number of page(s) | 19 | |
| Section | Galactic structure, stellar clusters and populations | |
| DOI | https://doi.org/10.1051/0004-6361/202555711 | |
| Published online | 11 December 2025 | |
Tidal tails in open clusters
Morphology, binary fraction, dynamics, and rotation
1
Department of Physical Sciences, IISER Mohali,
Knowledge City, Sector 81, SAS Nagar, Manauli PO
140306,
Punjab,
India
2
Indian Institute of Astrophysics,
2nd Block, Koramangala,
Bangalore - 560034,
India
3
Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn,
Nussallee 14-16,
53115
Bonn,
Germany
4
Charles University, Faculty of Mathematics and Physics, Astronomical Institute,
V Holešovičkách 2,
Praha
18000,
Czech Republic
★ Corresponding authors: irasharma2208@gmail.com; vjadhav@astro.uni-bonn.de; purni@iiap.res.in
Received:
28
May
2025
Accepted:
1
October
2025
Context. This research presents unsupervised machine learning and statistical methods to identify and analyze tidal tails in open star clusters using data from the Gaia DR3 catalog.
Aims. We aim to identify member stars and to detect and analyze tidal tails in five open clusters, BH 164, Alessi 2, NGC 2281, NGC 2354, and M 67, of ages between 60 Myr and 4 Gyr. These clusters were selected based on the previous evidence of extended tidal structures.
Methods. We utilized machine learning algorithms such as Density-based Spatial Clustering of Applications with Noise (DBSCAN) and principal component analysis (PCA), along with statistical methods to analyze the kinematic, photometric, and astrometric properties of stars. Key characteristics of tidal tails, including radial velocity, the color-magnitude diagram, and spatial projections in the tangent plane beyond the cluster’s Jacobi radius (rJ), were used to detect them. We used N-body simulations to visualize and compare the observables with real data. Further analysis was done on the detected cluster and tail stars to study their internal dynamics and populations, including the binary fraction. We also applied the residual velocity method to detect rotational patterns in the clusters and their tails.
Results. We identified tidal tails in all five clusters, with detected tails extending farther in some clusters and containing significantly more stars than previously reported (tails ranging from 40 to 100 pc, one to four times their rJ, with 100–200 tail stars). The luminosity functions of the tails and their parent clusters were generally consistent, and tails lacked massive stars. In general, the binary fraction was found to be higher in the tidal tails. Significant rotation was detected in M 67 and NGC 2281 for the first time.
Key words: methods: data analysis / methods: observational / methods: statistical / astrometry / Galaxy: kinematics and dynamics / open clusters and associations: general
© The Authors 2025
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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