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Studying Black Holes on Horizon Scales with VLBI Ground Arrays

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arxiv 1909.01411 v2 pith:YUG5RYNU submitted 2019-09-03 astro-ph.IM astro-ph.HE

classification astro-ph.IMastro-ph.HE
keywords imagingaccretionblackholeshorizonprocessesvlbiwill
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High-resolution imaging of supermassive black holes is now possible, with new applications to testing general relativity and horizon-scale accretion and relativistic jet formation processes. Over the coming decade, the EHT will propose to add new strategically placed VLBI elements operating at 1.3mm and 0.87mm wavelength. In parallel, development of next-generation backend instrumentation, coupled with high throughput correlation architectures, will boost sensitivity, allowing the new stations to be of modest collecting area while still improving imaging fidelity and angular resolution. The goal of these efforts is to move from imaging static horizon scale structure to dynamic reconstructions that capture the processes of accretion and jet launching in near real time.

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Forward citations

Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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    Correlating Wigner functions of the received fields yields a coherence pattern with roughly twice the spatial frequency content of the standard visibility, pointing to a possible two-fold angular resolution gain.

  2. Dark matter environments and safeguards for spacetime inference from horizon scale interferometry

    gr-qc 2026-07 conditional novelty 6.0 of 10

    Using public 2017 M87* closure data, a frozen Kerr source fails an absolute adequacy test and the differential tidal-charge response fails numerical convergence, so no posterior or bound is reported.

  3. Enhanced imaging of M87*: Simulations with the EHT and extended-KVN

    astro-ph.IM 2025-01 conditional novelty 6.0 of 10

    Adding eKVN's short-baseline coverage to the EHT significantly improves reconstructed images of the M87* jet and stabilizes results against missing telescopes.

  4. Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks

    astro-ph.IM 2025-06 conditional novelty 5.0 of 10

    Bayesian neural networks trained on synthetic EHT observations of Sgr A* and M87* recover spin and magnetic state well in cross-code tests, but give overconfident wrong estimates for temperature ratio and inclination ...

  5. Analyzing Deflection Angles and Photon Sphere Dynamics of Magnetically Charged Black Holes in Nonlinear Electrodynamic

    gr-qc 2025-02 reject novelty 4.0 of 10

    A new closed-form weak deflection angle and shadow analysis for a magnetically charged NED black hole, with strong-field results that reduce to Schwarzschild after a mass redefinition.

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