activity
20132026
most citedFirst Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way

1.9k citations · 7.5k across the 80 of their papers we have counts for

collaborators

83 papers

astro-ph.HE2026

Composition-dependent acceleration of UHE Cosmic Rays in AGN electric fields

E. Koutsoumpou, I. Contopoulos, A. Nathanail +2

The origin of ultra-high-energy cosmic rays (UHECRs) remains elusive, as proposed acceleration mechanisms are rarely connected directly to composition-sensitive air-shower observab…

astro-ph.HE2026

Dynamics and Spectra-Polarimetric Signatures of GRMHD Simulations with Multiple Magnetic Loops

Raoul Kinadeter, Christian M. Fromm, Yosuke Mizuno +3

Relativistic jets are a common outcome of accretion onto black holes, yet their presence and variability depend strongly on the magnetic and dynamical state of the accretion flow.…

astro-ph.GA2026

Dynamics and geometry of the inner sub-parsec-scale jet in 3C 279 observed with the Event Horizon Telescope

Hendrik Mueller, Sebastiano D. von Fellenberg, Ai-Ling Zeng +275

The 2021 Event Horizon Telescope observations resolve the innermost jet region of the blazar 3C279 with unprecedented detail. The reconstructed images consistently reveal a compact…

astro-ph.HE2026

Probing radiation micro-physics in M 87 I. Total intensity and broad-band spectra

Christian M. Fromm, Yosuke Mizuno, Ziri Younsi +6

Next generation Very Long Baseline Interferometers (VLBI) will provide dense sampling of the Fourier space together with high signal to noise ratios allowing to reliably observe an…

astro-ph.HE2026

Broadband multiwavelength properties of the archetypal blazar 3C 279 during the 2017 Event Horizon Telescope campaign

G. Principe, J. C. Algaba, E. Aviano +529

The archetypal blazar 3C 279 hosts a prominent relativistic jet and exhibits strong broadband variability across the electromagnetic spectrum. In April 2017, the Event Horizon Tele…

physics.comp-ph2026

An adaptive framework for the axisymmetric pulsar magnetosphere using physics-informed Kolmogorov-Arnold networks

Spyros Rigas, Ioannis Contopoulos, Georgios Alexandridis +1

The pulsar magnetosphere has only recently been addressed using Physics-Informed Neural Networks (PINNs), by deploying a domain-decomposition approach and treating the separatrix a…