5 papers
Surrogate modeling of drift-reduced Braginskii turbulence with resistivity-conditioned Koopman neural operators
Ameir Shaa, Kyungtak Lim, Long Shan Chan +1
Machine-learning-driven surrogate operators are developed for three-dimensional, nonlinear, flux-driven simulations of boundary plasma turbulence based on the two-fluid drift-reduc…
Minicharged Particles at Accelerators: Progress and Prospects
Marc de Montigny, Pierre-Philippe A. Ouimet, James Pinfold +2
Minicharged particles (mCPs), hypothetical free particles with effective electric charges much smaller than the elementary charge, , offer a valuable probe of dark sectors and f…
Hybrid Neural Interpolation of a Sequence of Wind Flows
Ameir Shaa, Claude Guet, Xiasu Yang +3
Rapid and accurate urban wind field prediction is essential for modeling particle transport in emergency scenarios. Traditional Computational Fluid Dynamics (CFD) approaches are to…
Minicharged Particle Sensitivity of the MAPP Outrigger Detector
Matti Kalliokoski, Vasiliki A. Mitsou, Marc de Montigny +5
We present a detailed study of the projected background-free sensitivity of the MAPP Outrigger Detector (OD) to minicharged particles (mCPs) at the High-Luminosity Large Hadron Col…
Search for Highly-Ionizing Particles in pp Collisions During LHC Run-2 Using the Full MoEDAL Detector
MoEDAL Collaboration
This search for Magnetic Monopoles (MMs) and High Electric Charge Objects (HECOs) with spins 0, 1/2 and 1, uses for the first time the full MoEDAL detector, exposed to 6.6 fb^-1 pr…