A new classification of ex-situ and in-situ Galactic globular clusters based on a method trained on Milky Way analogues in the TNG50 cosmological simulations
Pierre Boldrini, Paola Di Matteo, Chervin Laporte, Oscar Agertz, Sergey Khoperskov, Giulia Pagnini

TL;DR
This study introduces a new method combining cosmological simulations and orbital dynamics to classify and analyze the origins of globular clusters in the Milky Way, revealing overlaps and challenges in existing classification schemes.
Contribution
A novel approach that models globular cluster evolution in cosmological simulations, challenging current classification methods and providing new insights into their origins and dynamical behaviors.
Findings
Overlap between in-situ and ex-situ GCs below a specific energy threshold.
Current classification schemes often fail to clearly separate GC populations.
Ex-situ GCs lose dynamical coherence over time in energy-angular momentum space.
Abstract
We present a novel method combining existing cosmological simulations and orbital integration to study the hierarchical assembly of globular cluster (GC) populations in the Milky Way (MW). Our method models the growth and evolution of GC populations across various galactic environments as well as the dynamical friction and mass-loss experienced by these objects. This allows us to follow the trajectory of 18,000 GCs over cosmic time in 198 MW-like galaxies from TNG50. This cosmological-scale tracking of the dynamics of in-situ and ex-situ GC populations with such a large statistical sample allows us to confirm the presence of an overlap between the two populations in MW-like galaxies, occurring below an energy threshold of where is the energy of a circular orbit at the galaxy's stellar half-mass radius $r_{\rm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
