collaborators

5 papers

physics.plasm-ph2026

Quasistatic modeling of ultrarelativistic beam-plasma instabilities

P. San Miguel Claveria, L. Gremillet, X. Davoine +5

Relativistic particle beams propagating through dense ambient plasmas are susceptible to streaming instabilities that can govern the system dynamics in various astrophysical and la…

physics.plasm-ph2026

Modeling ultrarelativistic streaming plasma instabilities under the quasistatic approximation

P. San Miguel Claveria, Q. Labro, X. Davoine +5

Plasma streaming instabilities excited by relativistic charged particle beams play a pivotal role in astrophysical and laboratory environments. Their numerical study, however, is c…

physics.plasm-ph2026

Counter-streaming heat-flux closure for electron-only collisionless magnetic reconnection

Madox C. McGrae-Menge, Jacob R. Pierce, Maria Almanza +6

In electron-only collisionless magnetic reconnection (MR), a regime of growing importance in turbulent space plasmas, electrons develop strongly non-Maxwellian distributions that i…

physics.acc-ph2026

Strong-field focusing of high-energy particles in beam-multifoil collisions

Aimé Matheron, Doug Storey, Max F. Gilljohann +25

Extreme beams of charged particles and photons, reaching ultrahigh densities or producing intense gamma-ray bursts, are central to accelerator physics, laboratory astrophysics, and…

physics.plasm-ph2025

Embedding physical symmetries into machine-learned reduced plasma physics models via data augmentation

Madox C. McGrae-Menge, Jacob R. Pierce, Frederico Fiuza +1

Machine learning is offering powerful new tools for the development and discovery of reduced models of nonlinear, multiscale plasma dynamics from the data of first-principles kinet…