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Novel methods for heavy-flavor studies 2017-03-22

physics
  • Papers
  • On flavor jet id and ML
  • Jet substructure

Papers


Disentangling Heavy Flavor at Colliders arXiv:1702.02947 Resurrecting the Dead Cone arXiv:1606.03449 Using hadron-in-jet data in a global analysis of D∗ fragmentation functions

On flavor jet id and ML

Weakly Supervised Classification in High Energy Physics arXiv:1702.00414 Infrared safe definition of jet flavour arXiv:hep-ph/0601139 Factorization for groomed jet substructure beyond the next-to-leading logarithm arXiv:1603.09338 Non-Global Correlations in Collider Physics arXiv:1510.05657 Les Houches 2015: Physics at TeV Colliders Standard Model Working Group Report arXiv:1605.04692 Casimir Meets Poisson: Improved Quark/Gluon Discrimination with Counting Observables arXiv:1704.06266 Jet Flavor Classification in High-Energy Physics with Deep Neural Networks

Jet substructure

Soft Drop arXiv:1402.2657 Sudakov Safety in Perturbative QCD arXiv:1502.01719 Exposing the QCD Splitting Function with CMS Open Data arXiv:1704.05066

E-mail: mploskon @ lbl.gov

Mail: 1 Cyclotron Road, Berkeley, CA, USA

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