Stellar separation shapes spin-orbit alignment in visual binaries
Michael Poon, Dang Pham, Marta L. Bryan, Hanno Rein, Jiayin Dong

TL;DR
This study uses hierarchical Bayesian modeling to analyze spin-orbit angles in visual binaries, revealing potential formation pathway transitions at specific separations.
Contribution
It identifies two distinct subpopulations of binary star spin-orbit alignments separated by a separation cutoff, refining understanding of binary formation mechanisms.
Findings
Binaries within 31-38 AU are more aligned, with a Fisher distribution κ=48.
Binaries outside 31-38 AU are less aligned, with a Fisher distribution κ=6.
Evidence suggests a secondary cutoff at 10-17 AU, indicating possible additional formation transition.
Abstract
Stellar binaries may form through several formation pathways, including disk or core fragmentation. Their spin-orbit angles are a signature of formation, although individual measurements for visual binaries are limited and broad. A seminal work by A. Hale (1994) found that visual binaries with separations AU tend to be more aligned, which laid the groundwork for binary formation theories. However, A. B. Justesen & S. Albrecht (2020) found that underestimated stellar radii lead to inaccurate spin-orbit angles and that KS statistics do not provide meaningful population-level constraints even with updated radii. Using a hierarchical Bayesian model to reanalyze their dataset, we find evidence with a Bayes factor of 12 for two subpopulations of spin-orbit angles separated by a AU cutoff. Binaries inside (outside) the cutoff are more (less) aligned, consistent with…
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.
