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2012

Qjets: A Non-Deterministic Approach to Tree-Based Jet Substructure

Ellis, Stephen D., Hornig, Andrew, Krohn, David et al.

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Jet substructure is typically studied using clustering algorithms, such as kT, which arrange the jets' constituents into trees.

Instead of considering a single tree per jet, we propose that multiple trees should be considered, weighted by an appropriate metric.
Then each jet in each event produces a distribution for an observable, rather than a single value.
Advantages of this approach include: 1) observables have significantly increased statistical stability; and, 2) new observables, such as the variance of the distribution, provide new handles for signal and background discrimination.

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