Detecting Changing Polarization Structures in Sagittarius A* with High Frequency VLBI
Vincent L. Fish (1), Sheperd S. Doeleman (1), Avery E. Broderick (2),, Abraham Loeb (3), Alan E. E. Rogers (1) ((1) MIT Haystack Observatory (2), CITA (3) Harvard Smithsonian CfA)

TL;DR
This paper demonstrates how full-polarization VLBI can detect time-variable polarization structures in Sagittarius A*, revealing insights into the black hole's immediate environment despite calibration challenges.
Contribution
It extends previous nonimaging analyses to include full polarimetric VLBI simulations, showing robustness against calibration errors and potential for new diagnostics.
Findings
Polarization substructures can be detected on small angular scales.
Short baselines track overall polarization fraction, longer baselines reveal substructures.
Periodic polarization variability detection is robust against calibration errors.
Abstract
Sagittarius A* is the source of near infrared, X-ray, radio, and (sub)millimeter emission associated with the supermassive black hole at the Galactic Center. In the submillimeter regime, Sgr A* exhibits time-variable linear polarization on timescales corresponding to <10 Schwarzschild radii of the presumed 4 million solar mass black hole. In previous work, we demonstrated the potential for total-intensity (sub)millimeter-wavelength VLBI to detect time-variable -- and periodic -- source structure changes in the Sgr A* black hole system using nonimaging analyses. Here we extend this work to include full polarimetric VLBI observations. We simulate full-polarization (sub)millimeter VLBI data of Sgr A* using a hot-spot model that is embedded within an accretion disk, with emphasis on nonimaging polarimetric data products that are robust against calibration errors. Although the…
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.
