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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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Full-text documents

8 604

 

Bibliographical references

5 079

 

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

 

 

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