Jet Substructure Without Trees
arXiv:1104.1646 · doi:10.1007/JHEP06(2011)057
Abstract
We present an alternative approach to identifying and characterizing jet substructure. An angular correlation function is introduced that can be used to extract angular and mass scales within a jet without reference to a clustering algorithm. This procedure gives rise to a number of useful jet observables. As an application, we construct a top quark tagging algorithm that is competitive with existing methods.
22 pages, 16 figures, version accepted by JHEP
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