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J_{E_T}: A Global Jet Finding Algorithm

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arxiv 1411.3705 v1 pith:5SJTB62S submitted 2014-11-13 hep-ph hep-ex

classification hep-phhep-ex
keywords algorithmjetsparticlesanti-kconefunctionlargermomentum
verification ladder T0 review T1 audit T2 compute T3 formal

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We introduce a new jet-finding algorithm for a hadron collider based on maximizing a J_{E_T} function for all possible combinations of particles in an event. This function prefers a larger value of the jet transverse energy and a smaller value of the jet mass. The jet shape is proved to be a circular cone in Cartesian coordinates with the geometric center shifted from the jet momentum toward the central region. The jet cone size shrinks for a more forward jet. We have implemented our J_{E_T} algorithm with a reasonable running time scaling as N n^3, where "N" is the total number of particles and "n" (much less than N) is the number of particles in a fiducial region. Many features of our J_{E_T} jets are similar to anti-k_t jets, including the reconstructed jet momentum and the "back-reaction" from soft contamination. Nevertheless, when the jet parameters in the two algorithms are matched using QCD jets, we find that the J_{E_T} algorithm has a larger efficiency than anti-k_t for identifying objects with hard splittings such as a W-jet.

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  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...

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