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Telescoping Jets: Multiple Event Interpretations with Multiple R's

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arxiv 1304.5240 v1 pith:BYVNAO5M submitted 2013-04-18 hep-ph hep-ex

classification hep-phhep-ex
keywords eventinterpretationsmultiplejetsanalysisgivestatisticalalgorithms
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Jets at high energy colliders are complicated objects to identify. Even if jets are widely separated, there is no reason for jets to have the same size. A single reconstruction, or interpretation, of each event can only extract a limited amount of information. Motivated by the recently proposed Qjet algorithms, which give multiple interpretations for each event using nondeterministic jet clustering, we propose a simple, fast and powerful method to give multiple event interpretations by varying the parameter R in the jet definition. With multiple interpretations we can redefine the weight of each event in a counting experiment to be the fraction of interpretations passing the experimental cuts, instead of 0 or 1 in a conventional analysis. We show that the statistical power of an analysis can be dramatically increased. In particular, we can have a 46% improvement in the statistical significance for the Higgs search with an associated Z boson (ZH\rightarrow \nu {\bar \nu}b {\bar b}) at the 8 TeV LHC.

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Cited by 1 Pith paper

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  1. Lund jet images from generative and cycle-consistent adversarial networks

    hep-ph 2019-09 conditional novelty 6.0 of 10

    A least-squares GAN trained on Lund jet plane images reproduces the simulated jet substructure distribution to within a few percent, and a CycleGAN maps between jet categories such as parton-level vs detector-level or...

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