activity
20242026
collaborators

12 papers

cs.LG2026

Detecting Satellites in Radio-Frequency Data via Semi-Supervised Learning

Cade W. Trotter, Maksim E. Eren, Justin C. Holmes +4

Radio-frequency (RF) monitoring is essential for space domain awareness, but it often generates large, variable, and sparsely populated datasets with few labels. These observations…

physics.plasm-ph2026

Secondary drift-driven instabilities in the presence of a parallel-propagating electromagnetic ion cyclotron wave and cold multi-component ions

Opal Issan, Patrick Kilian, Vadim Roytershteyn +2

Electromagnetic ion cyclotron (EMIC) waves are commonly observed in Earth's inner magnetosphere, particularly during geomagnetic storms driven by anisotropic ring-current protons.…

physics.plasm-ph2026

Mixed Hermite-Legendre spectral method for kinetic plasma simulations

Opal Issan, Gian Luca Delzanno, Vadim Roytershteyn

Kinetic collisionless plasma equations are commonly solved via spectral methods in velocity space. The most commonly used spectral method is based on Hermite polynomials with a Max…

physics.plasm-ph2026

Understanding cold electron impact on parallel-propagating whistler chorus waves via moment-based quasilinear theory

Opal Issan, Vadim Roytershteyn, Gian Luca Delzanno +1

Earth's magnetosphere hosts a wide range of collisionless particle populations that interact through various wave-particle processes. Among these, cold electrons, with energies bel…

cs.CE2025

Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics

Stefano Markidis, Andong Hu, Ivy Peng +9

Our fully kinetic, implicit Particle-in-Cell (PIC) simulations of global magnetospheres on up to 32,768 of El Capitan's AMD Instinct MI300A Accelerated Processing Units (APUs) repr…

physics.plasm-ph2025

Conservative projection-based data-driven model order reduction of a fluid-kinetic spectral solver

Opal Issan, Oleksandr Koshkarov, Federico D. Halpern +2

Kinetic simulations are computationally intensive due to six-dimensional phase space discretization. Many kinetic spectral solvers use the asymmetrically weighted Hermite expansion…