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Welcome to the HAL Open Archive of the Institut Polytechnique de Paris

 It consists of publications of the 5 member institutions of the IP Paris (click on logos to access their HAL portal) :


École polytechnique ENSTA Paris ENSAE Télécom Paris Télécom SudParis
École polytechnique ENSTA Paris ENSAE Paris Télécom Paris Télécom SudParis


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9 307


Bibliographical references

5 713


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