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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

10 337

 

Bibliographical references

6 611

 

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

 

 

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