Elementary Particles and Fields KAMIOKANDE Lead LHC-B Optimisation Kinematics Neural network Optimization Field theory conformal Machine learning Machine Learning Perturbation theory higher-order J-PARC Lab Apprentissage profond Correlation function Beyond Standard Model Rapidity dependence Privacy Polarization Data analysis method Supersymmetry CERN Lab Particle Physics Experiments Simulation CMS Deep Learning 13000 GeV-cms Reinforcement learning Deep learning Gravitation CERN LHC Coll Numerical calculations TeV IoT Photon 8000 GeV-cms Signature Scattering Electroweak interaction Hadron-Hadron Scattering Electron Statistical analysis Background Branching ratio ratio measured 5G Quantum chromodynamics perturbation theory Hadron-Hadron scattering experiments Artificial intelligence Correlation Z0 leptonic decay Error statistical Heavy ion scattering P p colliding beams Performance Top pair production Parton distribution function P p scattering Climate change CP violation Statistical Atmosphere Calibration Mars Anomaly detection Stability Plasma Modeling 7000 GeV-cms Transverse momentum missing-energy Transverse momentum dependence Internet of things Turbulence B physics Internet of Things Neural networks Phase space Laser Channel cross section measured Mass dependence Blockchain GeV Activity report Bottom particle identification Muon Channel cross section branching ratio upper limit Experimental results Sensitivity Jet bottom Higgs particle decay modes Electron pair production Quantum chromodynamics Effective field theory Resonance production Structure Apprentissage automatique Numerical calculations Monte Carlo Muon pair production Differential cross section measured Security Channel cross section upper limit