Photon ring polarimetry with next-generation black hole imaging I. M87*
Aditya Tamar, Daniel C.M. Palumbo

TL;DR
This paper develops a geometric model to analyze the polarization signatures of the photon ring in black hole images, providing formulas and simulations for M87* to guide future observational efforts.
Contribution
It introduces analytic expressions for the transition radii where photon ring signals dominate in polarized images, aiding interpretation of black hole polarimetry data.
Findings
Nearly all MAD models show photon ring-dominated CP on short baselines.
Long baselines are required to detect CP features with current and next-gen telescopes.
LP signals are more accessible on Earth-space baselines, aiding observational strategies.
Abstract
The near-horizon region of a black hole impacts linear (LP) and circular polarization (CP) through strong lensing of photons, adding large-scale symmetries and anti-symmetries to the polarized image. To probe the signature of lensing in polarimetry, we utilise a geometric model of concentric, Gaussian rings of equal radius to investigate the transition in the Fourier plane at which the photon ring signal begins to dominate over the direct image. We find analytic, closed-form expressions for the transition radii in total intensity, LP, and CP, wherein the resultant formulae are composed of ratios of tunable image parameters, with the overall "scale" set primarily by the thickness of the direct image. Using these formulae, we compute the transition radii for time-averaged images of M87* simulations at 230 GHz, studying both Magnetically Arrested Disc (MAD) and Standard and Normal…
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.
Taxonomy
TopicsAstrophysical Phenomena and Observations · Adaptive optics and wavefront sensing
