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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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Tag cloud

Automatic Keywords 5G P p scattering Final state njet dilepton Optimization Background Privacy Final state njet Charm 2 Performance Muon pair production CMS Quantum chromodynamics Kinematics Gravitation Anomaly detection PARIS team Tau pair production Data analysis method Numerical calculations Monte Carlo Critical phenomena 7000 GeV-cms8000 GeV-cms13000 GeV-cms Machine Learning Asymptotic analysis NFV IoT Tracks Resonance production Neural Networks Supersymmetry Tensor energy-momentum Wasserstein distance LHC-B Statistical analysis Transverse momentum dependence Asymmetry CP Electron pair production J-PARC Lab Resource allocation Cloud Computing Differential cross section measured Bottom pair production Security Heavy ion scattering Interference Higgs particle doublet Experimental results Sensitivity Supersymmetry symmetry breaking Channel cross section upper limit AWS Stochastic optimization Jet multiplicity Boundary condition Additive manufacturing Signature Electron Jet transverse momentum Machine learning Channel cross section branching ratio upper limit B+ hadronic decay Channel cross section measured Phase space Deep learning Benchmark Benchmarking Identification Structure ACL Statistical Parton distribution function Stability Quantum chromodynamics perturbation theory New physics Perturbation theory higher-order CERN LHC Coll Angular distribution CP violation Top pair production Bottom particle identification Detector design Rapidity dependence Lead Black-box optimization Hydrodynamics Higgs particle hadroproduction Transverse momentum missing-energy Higher-order 1 Amplitude analysis Jet bottom Apprentissage automatique Muon 13000 GeV-cms P p colliding beams Deep Learning Final state njet lepton Simulation Energy low Mass dependence KAMIOKANDE