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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

2 603

 

Bibliographical references

2 110

 

Tag cloud

Structure Anomaly detection Electron Cherenkov Telescope Array Perturbation theory higher-order P p scattering Supersymmetry symmetry breaking Resonance production 13000 GeV-cms Jet bottom Coupling constant upper limit Hadron-Hadron scattering experiments Calibration Electron pair production Correlation function Internet of things Machine Learning Elementary Particles and Fields Optimisation Optimization Sensitivity Statistical Transverse momentum dependence Branching ratio ratio measured Data analysis method B+ hadronic decay Differential cross section measured Simulation Blockchain Benchmarking Rapidity dependence Modeling 5G Heavy ion scattering Diffusion Neural network Laser Experimental results Muon Données personnelles Higher-order 1 Quantum chromodynamics perturbation theory KAMIOKANDE CMS Parton distribution function Z0 leptonic decay Background Statistical analysis Mass dependence Activity report Top pair production J-PARC Lab Internet of Things Effective field theory Supersymmetry LHC-B IoT Particle Physics Experiments Correlation Boundary condition Cross section ratio measured Phase space Muon pair production Cloud computing Deep learning Higgs particle hadroproduction Quantum chromodynamics Bottom particle identification Channel cross section branching ratio upper limit Asymptotic analysis Bottom pair production Nonlinear optics Automatic Keywords Performance Gravitation CERN Lab Electronics readout B physics Numerical calculations Monte Carlo Physics P p colliding beams 7000 GeV-cms Programming Transverse momentum missing-energy 8000 GeV-cms Lead Stability CERN LHC Coll Security Neural networks PARIS team Channel cross section measured Machine learning Kinematics Mass width Privacy Channel cross section upper limit Jet multiplicity Electroweak interaction Higgs physics

 

 

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