90 citations · 438 across the 15 of their papers we have counts for
16 papers
Differential-Embedding Reconstruction of Dynamical Systems from Scalar Time Series
Ameir Shaa, Claude Guet
We study the reconstruction of an unknown dynamical system from a single noisy scalar time series. The goal is to recover the underlying dynamics for forecasting. We introduce a me…
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…
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…
MoEDAL search in the CMS beam pipe for magnetic monopoles produced via the Schwinger effect
B. Acharya, J. Alexandre, S. C. Behera +64
We report on a search for magnetic monopoles (MMs) produced in ultraperipheral Pb--Pb collisions during Run-1 of the LHC. The beam pipe surrounding the interaction region of the CM…
Searching for Minicharged Particles at the Energy Frontier with the MoEDAL-MAPP Experiment at the LHC
Vasiliki A. Mitsou, Marc de Montigny, Abhinab Mukhopadhyay +4
MoEDAL's Apparatus for Penetrating Particles (MAPP) Experiment is designed to expand the search for new physics at the LHC, significantly extending the physics program of the basel…