Apprentissage profond Muon pair production Correlation Data analysis method Optimal transport Programming Apprentissage automatique Deep learning Training Gravitation Resonance production 13000 GeV-cms Heavy ion scattering CERN LHC Coll J-PARC Lab Calibration Monte Carlo CP violation Machine learning Meson Climate change Error statistical Field theory conformal Internet of Things Statistical Bottom particle identification Quantum chromodynamics Privacy Anomaly detection Quark CMS Security Blockchain Transverse momentum missing-energy GeV Silicon Transverse momentum Transverse momentum dependence Hadron-Hadron Scattering Branching ratio ratio measured Sensitivity Electroweak interaction Machine Learning Plasma TeV Supersymmetry New physics search for CERN Lab Stability Effective field theory Simulation Optimization Rapidity dependence Hadron-Hadron scattering experiments IoT Mass dependence Photon B physics Structure P p scattering Branching ratio Mars Channel cross section upper limit Jet bottom Optimisation Background 5G Top pair production Z0 leptonic decay Neural networks Turbulence 8000 GeV-cms Kinematics Lepton KAMIOKANDE Modeling Signature Performance Statistical analysis Laser Parton distribution function Numerical calculations Monte Carlo Deep Learning Channel cross section branching ratio upper limit Electron P p colliding beams Differential cross section measured Muon Lead Neural network Holography Channel cross section measured LHC-B Reinforcement learning Artificial intelligence Suppression Rapidity Experimental results 7000 GeV-cms Phase space