Low-Acceleration Gravitational Anomaly from Bayesian 3D Modeling of Wide Binary Orbits: Methodology and Results with Gaia Data Release 3
Kyu-Hyun Chae

TL;DR
This paper introduces a Bayesian 3D orbit modeling method using Gaia DR3 data to detect gravitational anomalies in wide binary stars, providing evidence for modified gravity theories at low accelerations.
Contribution
The paper develops and applies a novel Bayesian orbit modeling technique incorporating radial velocity data to measure gravitational anomalies in wide binaries, extending previous sky-projected velocity analyses.
Findings
Gravitational anomaly detected below $10^{-9}$ m s$^{-2}$ acceleration.
Results align with MOND predictions in low-acceleration regimes.
Newtonian gravity confirmed at higher accelerations.
Abstract
Isolated wide binary stars provide natural laboratories to directly probe gravity for Newtonian acceleration m s. Recent statistical analyses of wide binaries have been performed only with sky-projected relative velocities in the pairs. A new method of Bayesian orbit modeling exploiting three relative velocity components including the radial component is developed to measure the gravitational anomaly parameter where is the effective gravitational constant for pseudo-Newtonian elliptical orbits, while is Newton's constant. The method infers individual probability distributions of and then combines the independent distributions to obtain a consolidated distribution in a specific range of . Here the method is…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Space Science and Extraterrestrial Life · Cosmology and Gravitation Theories
