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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

6 870

 

Bibliographical references

3 932

 

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Performance Solar wind Transverse momentum dependence Muon Security 5G Elementary Particles and Fields Mass dependence PARIS team Transverse momentum missing-energy Laser Atmosphere Simulation Correlation Internet of things Numerical calculations LHC-B Electron pair production Data analysis method Parton distribution function Higgs physics Polarization Asymptotic analysis Particle Physics Experiments Mars Privacy Muon pair production Higgs particle decay modes Z0 leptonic decay Resonance production Anomaly detection Activity report Modeling Experimental results Internet of Things B physics Top pair production Quantum chromodynamics Apprentissage profond Phase space Calibration Kinematics Deep learning Supersymmetry Cloud computing Differential cross section measured Rapidity dependence Field theory conformal Hadron-Hadron scattering experiments Gravitation Optimization Machine Learning Programming P p colliding beams Numerical calculations Monte Carlo Machine learning HESS Effective field theory Reinforcement learning Structure Turbulence Climate change Plasmas Optimisation Beyond Standard Model Heavy ion scattering GeV J-PARC Lab 7000 GeV-cms KAMIOKANDE Channel cross section measured Statistical analysis Diffusion 13000 GeV-cms Channel cross section upper limit P p scattering Neural networks COVID-19 Sensitivity Channel cross section branching ratio upper limit Quantum chromodynamics perturbation theory Electron Stability CERN LHC Coll Blockchain Correlation function Plasma Error statistical Lead CERN Lab Apprentissage automatique IoT Electroweak interaction Background CMS Neural network Perturbation theory higher-order Statistical Deep Learning 8000 GeV-cms

 

 

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