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Bienvenue sur l'archive ouverte HAL de l'Institut Polytechnique de Paris
Elle comprend les publications des 5 établissements membres de l'IP Paris (cliquer sur leur logo pour accéder à leur portail HAL) :
École polytechnique | ENSTA Paris | ENSAE Paris | Télécom Paris | Télécom SudParis |
Derniers dépôts
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Tatiana Traboulsi, Sébastien Sart, Charles N. Baroud, Anne Dejean, Jack-Christophe Cossec. Generation of embryo-like structures from mouse embryonic stem cells treated with a chemical inhibitor of SUMOylation and cultured in microdroplets. STAR Protocols, 2023, 4 (4), pp.102573. ⟨10.1016/j.xpro.2023.102573⟩. ⟨hal-04569341⟩
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Anne-Marlene Blechschmidt, Joaquim Arteta, Adriana Coman, Lyana Curier, Henk Eskes, et al.. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations. Atmospheric Chemistry and Physics, 2020, 20 (5), pp.2795-2823. ⟨10.5194/acp-20-2795-2020⟩. ⟨hal-04568644⟩
Documents avec texte intégral
10 964
Publications en Open Access
78 %
Références bibliographiques
7 178
Nuage de mots-clés
Channel cross section upper limit
CERN Lab
Resonance production
Phase space
Apprentissage profond
Top pair production
TeV
Electroweak interaction
CMS
Blockchain
P p scattering
Supersymmetry
Bottom particle identification
Mass dependence
Quark
New physics search for
Channel cross section branching ratio upper limit
Reinforcement learning
Internet of Things
5G
Muon
Correlation
Heavy ion scattering
Silicon
Stability
Branching ratio ratio measured
Muon pair production
Monte Carlo
Correlation function
Lepton
Z0 leptonic decay
Rapidity dependence
Optimal transport
Performance
Modeling
8000 GeV-cms
Photon
Transverse momentum dependence
Transverse momentum
Sensitivity
IoT
Data analysis method
Gravitation
Experimental results
Turbulence
Branching ratio
Mars
Programming
Field theory conformal
Machine learning
Simulation
CERN LHC Coll
Hadron-Hadron scattering experiments
Plasma
Numerical calculations Monte Carlo
Optimization
J-PARC Lab
Machine Learning
B physics
Neural network
Statistical
Background
Climate change
Privacy
Differential cross section measured
Security
Asymmetry CP
Channel cross section measured
Signature
Structure
Optimisation
Deep Learning
Error statistical
P p colliding beams
Laser
Electron
13000 GeV-cms
Training
Hadron-Hadron Scattering
Calibration
Effective field theory
Neural networks
Jet bottom
GeV
Transverse momentum missing-energy
Rapidity
Deep learning
Quantum chromodynamics
Parton distribution function
7000 GeV-cms
Artificial intelligence
CP violation
LHC-B
Anomaly detection
Kinematics
Apprentissage automatique
Lead
Statistical analysis
KAMIOKANDE
Suppression