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-dependent 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 how returning tidal tails can 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 Δt of PEs, we find new behavior related to chaotic scattering in the three-body problem; the Δt distribution 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 Δt in an evolving cluster, finding that Δ𝑡∼(𝐸J^(−0.1),𝐸J^(−0.4)) for PEs with (low, high) Jacobi energy EJ, flatter than for a static cluster (𝐸J⁻²). Accounting for cluster mass loss and internal evolution lowers the median Δt from ∼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.
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We thank the referee for the constructive feedback that led to a clearer discussion of our method and its implications. This work was supported by NSF grant AST-2108624 and NASA grant 80NSSC22K0722, as well as the computational resources and staff contributions provided for the Quest high-performance computing facility at Northwestern University. Quest is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. F.A.R. and G.F. acknowledge support from NASA grant 80NSSC21K1722. N.C.W acknowledges support from the CIERA Riedel Family Graduate Fellowship. S.C. acknowledges support from the Department of Atomic Energy, Government of India, under project Nos. 12-R&D-TFR-5.02-0200 and RTI 4002. F.K. acknowledges support from a CIERA Board of Visitors Graduate Fellowship. Support for K.K. was provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51510 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555.
Software References
CMC (Rodriguez et al. 2021), COSMIC (Breivik et al. 2020a), fewbody (Fregeau et al. 2004; Antognini et al. 2014; Amaro-Seoane & Chen 2016), Gala (Price-Whelan et al. 2020), matplotlib (Hunter 2007), SciPy (Virtanen et al. 2020), NumPy (Harris et al. 2020), Astropy (Astropy Collaboration et al. 2013), pandas (Reback 2022)
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Additional details
- ISSN
- 1538-4357
- National Science Foundation
- AST-2108624
- National Aeronautics and Space Administration
- 80NSSC22K0722
- Northwestern University
- Center for Interdisciplinary Exploration and Research in Astrophysics
- Department of Atomic Energy
- 12-R&D-TFR-5.02-0200
- Department of Atomic Energy
- RTI 4002
- National Aeronautics and Space Administration
- NASA Hubble Fellowship HST-HF2-51510
- National Aeronautics and Space Administration
- NAS5-26555
- Caltech groups
- TAPIR