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

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

2005-12-02

arxiv.org/abs/hep-ph/0512027v4

Eur.Phys.J.C47:611-616,2006

Physics

High Energy Physics

High Energy Physics - Phenomenology

11 pages, 3 eps figures (Eur. Phys. J. C, in press)

Scientific paper

10.1140/epjc/s2006-02618-3

A 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.

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