We report a measurement of the top quark mass M_t in the dilepton decay channel t anti-t --> bl'+ nu'_l l- nu-bar_l. Events are selected with a neural network which has been directly optimized for statistical precision in top quark mass using neuroevolution, a technique modeled on biological evolution. The top quark mass is extracted from per-event probability densities that are formed by the convolution of leading order matrix elements and detector resolution functions. The joint probability is the product of the probability densities from 344 candidate events in 2.0 fb-1 of p anti-p collisions collected with the CDF II detector, yielding a measurement of M-t =171.2 +/- 2.7(stat.) +/- 2.9(syst.) GeV/c2.

A. Castro, M. Deninno, P. Mazzanti, N. Moggi, F. Rimondi, F. Semeria, et al. (2009). Measurement of the Top Quark Mass with Dilepton Events Selected Using Neuroevolution at CDF II. PHYSICAL REVIEW LETTERS, 102, 152001-1-152001-8 [10.1103/PhysRevLett.102.152001].

Measurement of the Top Quark Mass with Dilepton Events Selected Using Neuroevolution at CDF II

CASTRO, ANDREA;DENINNO, MARIA MADDALENA;MOGGI, NICCOLO';RIMONDI, FRANCO;ZUCCHELLI, STEFANO
2009

Abstract

We report a measurement of the top quark mass M_t in the dilepton decay channel t anti-t --> bl'+ nu'_l l- nu-bar_l. Events are selected with a neural network which has been directly optimized for statistical precision in top quark mass using neuroevolution, a technique modeled on biological evolution. The top quark mass is extracted from per-event probability densities that are formed by the convolution of leading order matrix elements and detector resolution functions. The joint probability is the product of the probability densities from 344 candidate events in 2.0 fb-1 of p anti-p collisions collected with the CDF II detector, yielding a measurement of M-t =171.2 +/- 2.7(stat.) +/- 2.9(syst.) GeV/c2.
2009
A. Castro, M. Deninno, P. Mazzanti, N. Moggi, F. Rimondi, F. Semeria, et al. (2009). Measurement of the Top Quark Mass with Dilepton Events Selected Using Neuroevolution at CDF II. PHYSICAL REVIEW LETTERS, 102, 152001-1-152001-8 [10.1103/PhysRevLett.102.152001].
A. Castro; M. Deninno; P. Mazzanti; N. Moggi; F. Rimondi; F. Semeria; S. Zucchelli
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/84509
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