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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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7 670


Bibliographical references

4 599


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