A new jet algorithm based on the k-means clustering for the reconstruction of heavy states from jets
HEP division, Argonne National Laboratory, 9700 S.Cass Avenue, Argonne, IL, 60439, USA
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Published online: 14 July 2006
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-→tt̄→6 jets and e+e-→W+W-→4 jets processes at 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% improvement of the top-quark and W mass resolution, 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.
© Springer-Verlag, 2006