Shadow and Polarization Images of Rotating Black Holes in Kalb-Ramond Gravity Illuminated by Several Thick Accretion Disks
Chen-Yu Yang, Huan Ye, Xiao-Xiong Zeng

TL;DR
This study uses ray-tracing to analyze optical and polarization images of rotating black holes in Kalb-Ramond gravity with thick accretion disks, revealing effects of disk models, radiation anisotropy, and gravity parameters on observable features.
Contribution
It introduces detailed simulations of black hole images in Kalb-Ramond gravity considering different accretion disk models and radiation anisotropies, highlighting how gravity parameters influence observable images.
Findings
High-order images form bright rings and dark shadows, affected by inclination and radiation anisotropy.
Anisotropic radiation distorts high-order images into elliptical shapes.
Increasing rotation parameter causes asymmetry in high-order image intensity.
Abstract
Using ray-tracing techniques, this paper investigates the optical and polarization images of rotating black holes in Kalb-Ramond (KR) gravity illuminated by thick accretion disks. We examine two accretion disk models: the phenomenological radiatively inefficient accretion flow (RIAF) model and the analytical ballistic approximation accretion flow (BAAF) model. The RIAF model incorporates both isotropic and anisotropic radiation. In all models, the external bright rings corresponding to the high-order image and the internal dark region associated with the event horizon are observed. At high observational inclinations, the inner shadows are obscured by the radiation from the equatorial plane, which is significantly different from the thin accretion disk model. The primary distinction between isotropic and anisotropic radiation is that the latter causes distortion of the high-order image…
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.
