A new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets

dc.creatorChekanov, S.
dc.date2005-12-02
dc.date2006-07-10
dc.date.accessioned2026-07-07T12:25:20Z
dc.date.available2026-07-07T12:25:20Z
dc.descriptionA jet algorithm based on the k-means clustering procedure is proposed which can be used for the invariant-mass reconstruction of heavy states decaying to hadronic jets. The proposed algorithm was tested by reconstructing E+ E- to ttbar to 6 jets and E+ E- to W+W- to 4 jets processes at \sqrt{s}=500 GeV using a Monte Carlo simulation. It was shown that the algorithm has a reconstruction efficiency similar to traditional jet-finding algorithms, and leads to 25% and 40% reduction of reconstruction width for top quarks and W bosons, respectively, compared to the kT (Durham) algorithm. In addition, it is expected that the peak positions measured with the new algorithm have smaller systematical uncertainty.
dc.description11 pages, 3 eps figures (Eur. Phys. J. C, in press)
dc.identifierhttps://arxiv.org/abs/hep-ph/0512027
dc.identifierhttp://arxiv.org/abs/hep-ph/0512027
dc.identifierEur.Phys.J.C47:611-616,2006
dc.identifierdoi:10.1140/epjc/s2006-02618-3
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/214582
dc.subjectHigh Energy Physics - Phenomenology
dc.titleA new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets
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