Image of a time-dependent rotating regular black hole
Sen Guo, En-Wei Liang, Yu-Xiang Huang, Yu Liang, Qing-Quan Jiang, Kai Lin, Li-Fang Li

TL;DR
This paper introduces a novel stochastic modeling framework using spatio-temporal generalized random fields to simulate and analyze the dynamic imaging signatures of rotating regular black holes, incorporating physical effects like light-travel time.
Contribution
It extends the Matérn field formalism to spatio-temporal domains with anisotropic structures, enabling efficient, realistic simulations of black hole accretion and shadow dynamics.
Findings
Reproduces the dynamic shift of the bright ring in M87* images.
Incorporates light-travel time effects for realistic temporal smearing.
Maintains statistical consistency with GRMHD simulations.
Abstract
In this study, we develop a modeling framework based on spatio-temporal generalized random fields to simulate the time-evolving accretion flows and their associated imaging signatures around rotating regular black holes. We extend the Mat\'ern field formalism to the spatio-temporal domain and introduce a locally anisotropic tensor structure \(\Lambda(\mathbf{x})\), which encodes direction-dependent correlation scales motivated by Keplerian velocity fields, thereby generating physically informed perturbation structures. Coupled with a computationally efficient light ray-tracing scheme, this framework produces a sequence of time-resolved images of regular black hole shadow and accretion structures. By incorporating light-travel time effects, we identify significant temporal smearing of features within strongly lensed regions and rapidly varying sources, thus enhancing the physical realism…
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.
