Tracking the Identities of Boosted Particles
arXiv:1112.3378 · doi:10.1103/PhysRevD.86.014026
Abstract
We show that the tracking system in a collider detector can be used to efficiently identify boosted massive particles from their QCD backgrounds. We examine variables defined with tracking information which are sensitive to jet radiation patterns, including charged particle multiplicity and N-subjettiness. These variables are barely correlated with variables sensitive to the hard splitting scale in the jet, such as the filtered jet mass. Therefore these two kinds of variables should be combined to optimize the discriminating power. We illustrate the method with jet tagging. It is shown that for jet PT=500 GeV, one can gain a factor of 1.6 in statistical significance by combining filtered jet mass and charged multiplicity, over filtered mass alone. Adding N-subjettiness increases the factor to 1.8.
Version in PRD
References in corpus (17)
- Jet substructure as a new Higgs search channel at the LHC
- Boosted Decision Trees as an Alternative to Artificial Neural Networks for Particle Identification
- Top-tagging: A Method for Identifying Boosted Hadronic Tops
- Maximizing Boosted Top Identification by Minimizing N-subjettiness
- Techniques for improved heavy particle searches with jet substructure
- Strategies to Identify Boosted Tops
- Efficient Identification of Boosted Semileptonic Top Quarks at the LHC
- Top Jets at the LHC
- Multivariate discrimination and the Higgs + W/Z search
- Template Overlap Method for Massive Jets
- W-jet Tagging: Optimizing the Identification of Boosted Hadronically-Decaying W Bosons
- Discovering Higgs Bosons of the MSSM using Jet Substructure
- How to Improve Top Tagging
- Search for the Elusive Higgs Boson Using Jet Structure at LHC
- Boosting Higgs discovery - the forgotten channel
- Jet Substructure and the Search for Neutral Spin-One Resonances in Electroweak Boson Channels
- Ditau-Jet Tagging and Boosted Higgses from a Multi-TeV Resonance