论文标题

从辐射$ W $衰减中识别$ D $介子在大型强子对撞机上

Identifying $D$ mesons from Radiative $W$ decays at the Large Hadron Collider

论文作者

Bakos, E., de Groot, N., Vranjes, N.

论文摘要

在本文中,我们提出了两种机器学习算法,以识别LHC在辐射$ W $ boson衰减中以颜色单线状态产生的$ D $介子。该组合的网络算法能够通过其耐药衰变识别$ d $ Mesons的效率为47%,同时抑制了100倍的夸克和Gluon喷气机的背景。使用开发的算法,我们对$ \ \ \ \ \ natercal {b}(w \ w \ to d _ d _ d _ d _ d_)进行了前瞻性研究。

In this paper we present two machine learning algorithms to identify $D$ mesons produced in a color singlet state from radiative $W$ boson decays at the LHC. The combined network algorithm is able to identify $D$ mesons via its hadronic decays with an efficiency of 47% while suppressing a background of quark and gluon jets by a factor of 100. Using the developed algorithm, we perform a prospective study for the measurement of $\mathcal{B}(W\to D_{s}γ)$.

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