arXiv 2025 SaraerToosi, Tu et al.
Focused publications
Extracting physical insight from observational and simulation data to study black holes, extreme plasma physics, and strong-gravity environments. We develop computational methods for Very Large Baseline Interferomery (VLBI) imaging of event horizons, polarization-based inference of galactic flares, and machine-learning models that learn plasma dynamics from complex simulations.
| Date | Title | First Authors | Venue |
|---|---|---|---|
| Jul 2025 | Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations Ali SaraerToosi, Renbo Tu, Kamyar Azizzadenesheli, Aviad Levis | SaraerToosi, Tu et al. | arXiv |
| Jan 2025 | Effective Resistivity in Relativistic Reconnection: A Prescription Based on Fully Kinetic Simulations Abigail Moran, Lorenzo Sironi, Aviad Levis, Bart Ripperda, Elias R. Most, Sebastiaan Selvi | Moran et al. | The Astrophysical Journal Letters |
| Jun 2024 | Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole Aviad Levis, Andrew A. Chael, Katherine L. Bouman, Maciek Wielgus, Pratul P. Srinivasan | Levis et al. | Nature Astronomy |
| May 2022 | First Sagittarius A* Event Horizon Telescope Results (I–VI) Event Horizon Telescope Collaboration | Collaboration | The Astrophysical Journal Letters |
| Mar 2022 | Gravitationally Lensed Black Hole Emission Tomography Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman | Levis et al. | CVPR |
| Oct 2021 | Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman | Levis et al. | Proc. IEEE/CVF ICCV |