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Snowmass 2001: Jet Energy Flow Project

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arxiv hep-ph/0202207 v1 pith:FJDFPTMH submitted 2002-02-21 hep-ph

classification hep-ph
keywords energyflowalgorithmseventsfinaluniqueanalysiscone
verification ladder T0 review T1 audit T2 compute T3 formal

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Conventional cone jet algorithms arose from heuristic considerations of LO hard scattering coupled to independent showering. These algorithms implicitly assume that the final states of individual events can be mapped onto a unique set of jets that are in turn associated with a unique set of underlying hard scattering partons. Thus each final state hadron is assigned to a unique underlying parton. The Jet Energy Flow (JEF) analysis described here does not make such assumptions. The final states of individual events are instead described in terms of flow distributions of hadronic energy. Quantities of physical interest are constructed from the energy flow distribution summed over all events. The resulting analysis is less sensitive to higher order perturbative corrections and the impact of showering and hadronization than the standard cone algorithms.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum Algorithms for Jet Clustering

    hep-ph 2019-08 accept novelty 7.0 of 10

    Thrust can be computed in O(N^2) time with a Grover-based quantum algorithm under a sequential data-loading model, and in O(N^2 log N) time classically with sorting, but the quantum advantage is only formal for very r...

  2. Exploring the Space of Jets with CMS Open Data

    hep-ph 2019-08 accept novelty 6.0 of 10

    The authors apply the energy mover's distance to 1.69 million jets from CMS open data and show that track-based jet studies, including visualizations and anomaly scoring, work on real collider data.

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