Measuring the Black Hole and Accretion Parameters of Sagittarius A* from EHT Observations using a Semi-Analytic Model
Braden J. Marazzo-Nowicki, Paul Tiede, Dominic O. Chang, Daniel C. M. Palumbo, Michael D. Johnson

TL;DR
This paper develops a Bayesian semi-analytic modeling approach to analyze EHT observations of Sagittarius A*, separating stable gravitational signatures from rapid variability, and constrains key black hole and accretion parameters despite observational challenges.
Contribution
It introduces a novel Bayesian inference method on snapshot data to extract persistent and variable features of Sgr A* from EHT observations, improving parameter estimation.
Findings
Constraints on inclination angle and emission peak position.
Poor constraints on black hole spin and magnetic field parameters.
Successful reproduction of GRMHD simulation parameters using synthetic data.
Abstract
The Event Horizon Telescope (EHT) Collaboration produced the first image of the apparent shadow of the central black hole of Sagittarius\,A (\sgra). \sgra source structure varies significantly on timescales shorter than the duration of an observation, preventing improved data coverage through Earth rotation aperture synthesis. This rapid variability provides the opportunity to quantify intrinsic variability and separate time-variable emission features from stable signatures of strong gravity and the accretion environment. To infer the properties \sgra and its surrounding accretion flow, we perform Bayesian inference on a series of EHT data segments (``snapshots''). We directly fit parameters of a semi-analytic emission model jointly with complex station gains to snapshot visibilities, then extract estimates of the time-averaged, persistent source structure and temporal variability…
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Taxonomy
TopicsAstrophysical Phenomena and Observations · Pulsars and Gravitational Waves Research · Astrophysics and Cosmic Phenomena
