The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: Superconducting quantum circuits constitute one of the most advanced and promising platforms for building fault-tolerant quantum computers. However, the associated relatively short coherence ...
Scientists have long seen a puzzling pattern in tokamaks, the doughnut-shaped machines that could one day reliably generate electricity from fusing atoms. When plasma particles escape the core of the ...
Abstract: Accurately estimating the failure state and predicting the remaining useful life (RUL) of a system are important for effective predictive maintenance, and the particle filter (PF) method has ...
The PALLAS simulation framework is a Geant4-based toolkit for modeling plasma-accelerated particle beams. It integrates traditional Monte Carlo methods with machine learning-based ONNX beam generation ...
In July 2012, physicists at the Large Hadron Collider (LHC) in Europe triumphantly announced the discovery of the Higgs boson, the long-sought linchpin of the subatomic world. Interacting with Higgs ...
MediaPipe Particle Simulator creates exact visual clones of your hands and face using intelligent particle distribution. The system renders 8,000-15,000 particles that are strictly bound to detected ...
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