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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
         

 

Latest submissions

 

 

 

 

 

 

 

 

 

 

 

 

Full-text documents

10 416

 

Bibliographical references

6 689

 

Tag cloud

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

 

 

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