The accretion history of the Milky Way. I. How it shapes globular clusters and dwarf galaxies
Francois Hammer (1), Hefan Li (2), Gary A. Mamon (3), Marcel S., Pawlowski (4), Piercarlo Bonifacio (1), Yongjun Jiao (1), Haifeng Wang (5),, Jianling Wang (6), Yanbin Yang (1) ((1) Observatoire de Paris, Paris Sciences, et Lettres, CNRS France, (2) School of Physical Sciences

TL;DR
This study investigates how the Milky Way's accretion history influences the structural properties of globular clusters and dwarf galaxies, revealing correlations between their sizes, energies, and orbital parameters shaped by tidal interactions.
Contribution
It introduces a calibration method linking the orbital energy of halo objects to their accretion epoch, highlighting the role of MW tides and dynamical friction in shaping their structures.
Findings
Globular cluster sizes depend on orbital pericenter and energy.
Milky Way tides explain the correlation between cluster size and orbital parameters.
Earlier accreted satellites are smaller due to tidal effects.
Abstract
Halo inhabitants are individual stars, stellar streams, star and globular clusters, and dwarf galaxies. Here we compare the two last categories that include objects of similar stellar mass, which are often studied as self-dynamical equilibrium systems. We discover that the half-light radius of globular clusters depends on their orbital pericenter and total energy, and that Milky Way (MW) tides may explain the observed correlation. We also suggest that the accretion epoch of stellar systems in the MW halo can be calibrated by the total orbital energy, and that such a relation is due to both the mass growth of the MW and dynamical friction affecting mostly satellites with numerous orbits. This calibration starts from the bulge, to Kraken, Gaia Sausage Enceladus, Sagittarius stellar systems, and finally to the new coming dwarfs, either or not linked to the vast-polar structure. The most…
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.
