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Division of High Energy Physics, Department of Physics, University of Helsinki and Helsinki Institute of Physics, FIN-00014, Helsinki, Finland.
Phys Rev Lett. 2009 Apr 17;102(15):152001. doi: 10.1103/PhysRevLett.102.152001. Epub 2009 Apr 14.
We report a measurement of the top-quark mass M_{t} in the dilepton decay channel tt[over ] --> bl;{'+} nu_{l};{'}b[over ]l;{-}nu[over ]{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 pp[over ] collisions collected with the CDF II detector, yielding a measurement of M{t} = 171.2 +/- 2.7(stat) +/- 2.9(syst) GeV / c;{2}.
我们报告了在双轻子衰变道(t\bar{t}\to b\ell^{+}\nu_{\ell}b\bar{\ell}^{-}\bar{\nu}{\ell})中顶夸克质量(M{t})的测量结果。事件通过一个神经网络进行选择,该网络已使用神经进化(一种基于生物进化建模的技术)针对顶夸克质量的统计精度进行了直接优化。顶夸克质量从通过领头阶矩阵元与探测器分辨率函数卷积形成的单事件概率密度中提取。联合概率是用CDF II探测器在(2.0) (fb^{-1})的(pp)碰撞中收集的344个候选事件的概率密度的乘积,得到(M_{t}=171.2\pm2.7)(统计)(\pm2.9)(系统)(GeV/c^{2})的测量结果。