Steady GRMHD jets exhibit a universal near-horizon polarization pattern set only by black hole spin, with large-radius polarization angle following a collimation-determined power law and intermediate scales modified by plasma loading.
The Structure of the M87 Jet: A Transition from Parabolic to Conical Streamlines
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
The structure of the M87 jet, from milli-arcsec to arcsecond scales, is extensively investigated, utilizing the images taken with the EVN, MERLIN and VLBA. We discover that the jet maintains a parabolic streamline over a range in sizescale equal to $10^{5}$ times the Schwarzschild radius. The jet then transitions into a conical shape further downstream. This suggests that the magnetohydrodynamic jet is initially subjected to the confinement by the external gas which is dominated by the gravitational influence of the supermassive black hole. Afterwards the jet is then freely expanding with a conical shape. This geometrical transition indicates that the origin of the HST-1 complex may be a consequence of the over-collimation of the jet. Our result suggests that when even higher angular resolution is provided by a future submm VLBI experiment, we will be able to explore the origin of active galactic nuclei jets.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Machine learning on simulated images identifies that flux eruption events cause more diffuse, polarized, lower-flux millimeter emission with decreased Q-U loop rotation rate, achieving ~80% accuracy with random forests on summary statistics.
Presents an observability framework for solar gravitational lens astronomy and reports SSIM values of 0.993, 0.918, 0.973, and 0.923 for scalar reconstructions of four analytic scenes under stated assumptions.
citing papers explorer
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Polarization Architecture of Steady GRMHD Jets from the Horizon to Infinity
Steady GRMHD jets exhibit a universal near-horizon polarization pattern set only by black hole spin, with large-radius polarization angle following a collimation-determined power law and intermediate scales modified by plasma loading.
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Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning
Machine learning on simulated images identifies that flux eruption events cause more diffuse, polarized, lower-flux millimeter emission with decreased Q-U loop rotation rate, achieving ~80% accuracy with random forests on summary statistics.