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Title: Stellar Escape from Globular Clusters. II. Clusters May Eat Their Own Tails
Abstract We apply for the first time orbit-averaged Monte Carlo star cluster simulations to study tidal tail and stellar stream formation from globular clusters (GCs), assuming a circular orbit in a time-independent spherical Galactic potential. Treating energetically unbound bodies—potential escapers (PEs)—as collisionless enables this fast but spherically symmetric method to capture asymmetric extratidal phenomena with exquisite detail. Reproducing stream features such as epicyclic overdensities, we show howreturning tidal tailscan form after the stream fully circumnavigates the Galaxy, enhancing the stream's velocity dispersion by several kilometers per second in our ideal case. While a truly clumpy, asymmetric, and evolving Galactic potential would greatly diffuse such tails, they warrant scrutiny as potentially excellent constraints on the Galaxy’s history and substructure. Reexamining the escape timescale Δtof PEs, we find new behavior related to chaotic scattering in the three-body problem; the Δtdistribution features sharp plateaus corresponding to distinct locally smooth patches of the chaotic saddle separating the phase-space basins of escape. We study for the first time Δtin an evolving cluster, finding that Δ t ( E J 0.1 , E J 0.4 ) for PEs with (low, high) Jacobi energyEJ, flatter than for a static cluster ( E J 2 ). Accounting for cluster mass loss and internal evolution lowers the median Δtfrom ∼10 Gyr to ≲100 Myr. We finally outline potential improvements to escape in the Monte Carlo method intended to enable the first large grids of tidal tail/stellar stream models from full GC simulations and detailed comparison to stream observations.  more » « less
Award ID(s):
2108624
PAR ID:
10507620
Author(s) / Creator(s):
; ; ; ; ;
Publisher / Repository:
DOI PREFIX: 10.3847
Date Published:
Journal Name:
The Astrophysical Journal
Volume:
967
Issue:
1
ISSN:
0004-637X
Format(s):
Medium: X Size: Article No. 42
Size(s):
Article No. 42
Sponsoring Org:
National Science Foundation
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