Evolution of action-space coherence in a Milky Way-like simulation
Arunima Arunima, Mark R. Krumholz, Michael J. Ireland, Chuhan Zhang, Sven Buder
TL;DR
This work investigates whether stellar birth clusters leave enduring imprints in action space within a realistic, time-dependent Milky Way–like disc by using a high-resolution MHD simulation. It develops a rigorous method to quantify action-space coherence for coeval star pairs, showing that close pairs preserve correlated actions for up to ~0.5 Gyr, with vertical actions decohering on sub-kpc scales and radial/azimuthal actions on kpc scales. A probabilistic inference framework then maps present-day action distributions of observed moving groups to their birth sizes, applied to 438 Gaia-based streams, revealing a dichotomy between compact, cluster-origin streams and resonant or dynamically induced structures. The results provide a concrete calibration for co-natal tagging and a scalable approach to leveraging Gaia DR4 data, with caveats regarding membership completeness and model assumptions that can be mitigated with future refinements and more detailed Galactic perturbation modeling.
Abstract
Efforts to dynamically trace stars back to the now-dissolved clusters in which they formed rely implicitly on the assumption that stellar orbital actions are conserved. While this holds in a static, axisymmetric potential, it is unknown how strongly the time-varying, non-axisymmetric structure of a real galactic disk drives action drift that inhibits cluster reconstruction. We answer this question using a high-resolution magnetohydrodynamic simulation of a Milky Way-like spiral disc galaxy. We show that, while stars experience significant action evolution over $\lesssim 100$ Myr, they do so in a correlated fashion whereby stars born in close proximity maintain very similar actions for up to 0.5 Gyr. The degree of coherence shows no significant dependence on galactocentric radius, but varies between action components: vertical actions decohere for stars born more than a few hundred parsecs apart (likely due to giant molecular clouds), while radial and azimuthal actions remain correlated on kiloparsec scales (likely influenced by spiral arms). We use our measurements of the rate of action decoherence to develop a probabilistic framework that lets us infer the initial sizes of the star cluster progenitors of present-day stellar streams from their measured action distributions, which we apply to 438 known moving groups. Our results suggest that most of these streams likely originated from compact clusters, but that a significant minority are instead likely to be resonant or dynamically induced structures. This method of classifying streams complements existing methods, optimises the use of expensive spectroscopic abundance measurements, and will be enhanced by the more precise kinematic data that will soon become available from \textit{Gaia} DR4.
