Conceptio › Archive › arXiv (All)
arXiv (All) open access

The Binary Populations of Stellar Streams are Set by Cluster Dynamics

Phillips, Anya et al. · arxiv_all
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
astrophysics-of-galaxies
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

[2603.06790] The Binary Populations of Stellar Streams are Set by Cluster Dynamics Skip to main content Search Submit Donate Log in Astrophysics > Astrophysics of Galaxies arXiv:2603.06790 (astro-ph) [Submitted on 6 Mar 2026 ( v1 ), last revised 27 Aug 2026 (this version, v2)] Title: The Binary Populations of Stellar Streams are Set by Cluster Dynamics Authors: Anya Phillips , Charlie Conroy , Jacob Nibauer , Long Wang , Vedant Chandra , Ana Bonaca , Jay Strader , Morgan MacLeod View PDF HTML (experimental) Abstract: We present a suite of direct N-body simulations of low mass ($<10^4~M_{\odot}$) globular cluster streams initialized with observationally-motivated binary demographics in order to understand the effect of in-cluster dynamical processing on the stream binary population. The models are initialized with a range of stellar densities and cluster orbits, and Poisson variation in the number of massive and short-lived stars. Wide binaries are disrupted on short timescales by internal tides and on long timescales by two-body encounters. Tides are most important prior to impulsive mass loss-driven cluster expansion. Close binaries ($P_{\rm orb}<10^2~\rm yr$) are most abundant at the stream center due to cluster mass segregation. The wide binary fraction and the degree of binary segregation in the resulting stream are sensitive to the initial cluster density and massive star fraction. In mock radial velocity surveys of the simulated streams, undetectable binaries have velocity amplitudes of $\sim$$0.5$-$1~\rm km~s^{-1}$, adding $\sim0.1~\rm km\ s^{-1}$ of velocity dispersion to the streams, and are dynamically depleted by $\sim10$-$60\%$ compared to the initial binary population. Custom N-body models of Milky Way streams with binaries will allow a holistic understanding of their dynamical structures in advance of upcoming multi-epoch spectroscopic surveys. Comments: Accepted version; now published in ApJ, see this http URL Subjects: Astrophysics of Galaxies (astro-ph.GA) Cite as: arXiv:2603.06790 [astro-ph.GA] (or arXiv:2603.06790v2 [astro-ph.GA] for this version) https://doi.org/10.48550/arXiv.2603.06790 Focus to learn more arXiv-issued DOI via DataCite Journal reference: ApJ, 1003(2), 188 (2026) Related DOI : https://doi.org/10.3847/1538-4357/ae680b Focus to learn more DOI(s) linking to related resources Submission history From: Anya Phillips [ view email ] [v1] Fri, 6 Mar 2026 19:00:02 UTC (7,378 KB) [v2] Thu, 27 Aug 2026 20:57:40 UTC (7,387 KB) Full-text links: Access Paper: View PDF HTML (experimental) TeX Source view license Current browse context: astro-ph.GA < prev | next > new | recent | 2026-03 Change to browse by: astro-ph References & Citations SciX Google Scholar Semantic Scholar export BibTeX citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from (opens in new tab) (opens in new tab) (opens in new tab)

Related documents

Record · ID 684379 · SHA-256 746cc4effa75c715
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive