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George N. Wong

Researcher at University of Illinois at Urbana–Champaign

Publications -  86
Citations -  18013

George N. Wong is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Supermassive black hole & Event Horizon Telescope. The author has an hindex of 23, co-authored 61 publications receiving 11433 citations. Previous affiliations of George N. Wong include Los Alamos National Laboratory & New York University.

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A Universal Power-law Prescription for Variability from Synthetic Images of Black Hole Accretion Flows

Boris Georgiev, +268 more
TL;DR: In this article , the authors present a framework for characterizing the spatiotemporal power spectrum of the variability expected from the horizon-scale emission structure around supermassive black holes, and apply this framework to a library of general relativistic magnetohydrodynamic (GRMHD) simulations.
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Discriminating Accretion States via Rotational Symmetry in Simulated Polarimetric Images of M87

TL;DR: In this paper, the authors proposed a modal image decomposition of the linear polarization field into basis functions with varying azimuthal dependence of the electric vector position angle, and applied this decomposition to images of ray traced general relativistic magnetohydrodynamics simulations of the Messier 87 accretion disk.
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Bremsstrahlung in GRMHD Models of Accreting Black Holes

TL;DR: In this paper, the spectral energy distributions (SEDs) of accretion disks around slowly accreting supermassive black holes including synchrotron radiation, inverse Compton scattering, and bremsstrahlung were computed for axisymmetric radiative general relativistic magnetohydrodynamics (RadGRMHD) simulations.
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Modeling COVID-19 dynamics in Illinois under non-pharmaceutical interventions

TL;DR: A non-Markovian age-of-infection model that is capable of handling long and variable time delays without changing its model topology is used for modeling the COVID-19 epidemic in Illinois, USA, capturing the implementation of a Stay-at-Home order and scenarios for its eventual release.
Posted ContentDOI

Persistent heterogeneity not short-term overdispersion determines herd immunity to COVID-19

TL;DR: In this article, the authors show that the eventual outcome of the COVID-19 epidemic is determined by the persistent heterogeneity of the population, which is characterized by the short-term overdispersion manifested in the phenomenon of super-spreading, whereby the majority of the transmission is driven by a minority of infected individuals.