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June 17, 20260 citations

3D kinematics of Small Magellanic Cloud star clusters: Residual velocities disentangle kinematically perturbed clusters

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DIDenis M. F. IllescaAPAndrés E. PiattiMCMatías Chiarpotti

Key Points

  • This study aims to understand the kinematic behavior and influences on star clusters in the Small Magellanic Cloud.
  • Analyzed 36 star clusters in various regions of the SMC.
  • Computed Cartesian velocities (Vx, Vy, Vz) for each cluster based on proper motions, radial velocity, and distance.
  • Defined residual velocity ΔV to distinguish kinematic behaviors and performed kinematic anisotropy analysis.
  • Increased residual velocities ΔV correlate with greater distances from the SMC center.
  • Identified a kinematic lower limit of ΔV ≈ 60 km s−1 separating areas of tidal influence from stable regions.

Abstract

Understanding the kinematic behavior of the Small Magellanic Cloud (SMC) remains a challenge addressed by many authors using diverse approaches. Over time, increasing observational evidence has accumulated for tidal perturbations induced by the Large Magellanic Cloud (LMC) on the SMC, especially in its outer regions. In this study, we adopted star clusters as kinematic tracers of the SMC. We analyzed 36 clusters distributed across the galaxy's structural regions (Northern Bridge, Southern Bridge, Wing/Bridge, West Halo, Main Body and Counter Bridge). From each cluster's proper motions, radial velocity, and heliocentric distance, we estimated Cartesian velocities (Vx, Vy, Vz) in the SMC reference frame. We also computed the same velocity components under the assumption that the SMC behaves as a rotating disk. We then defined the residual velocity ΔV for each cluster as the difference between the two derived velocities. Additionally, we performed kinematic anisotropy analysis to characterize the distribution of kinetic energy across the SMC. We find that increasing values of ΔV correlate with increasing cluster distance from the SMC center, and that ΔV ≈ 60 km s−1 appears to be a kinematic lower limit separating the tidally originating areas from those with the best behavior.

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Cite This Study

Illesca et al. (2026) studied this question.

synapsesocial.com/papers/6a323d23d50b63ecad206eb8https://doi.org/10.1051/0004-6361/202557415/pdf
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