论文标题
喷气重建的光谱聚类
Spectral Clustering for Jet Reconstruction
论文作者
论文摘要
我们提出了一种直接利用运动学数据的抗$ k_t $方案等新方法来群集方法的替代方法。取而代之的是，新方法使用运动学信息来表示多维空间中的粒子，如光谱聚类中。在确认其Infra-Red（ir）安全后，我们比较了其在分析$ gg \ rightarrow h_ {125〜 \ rm gev} \ rightArrow h_ {40〜 \ rm gev} h_ {40〜 \ rm gev} h_ {40〜 \ rm gev} h_ {500〜 \ rm gev} \ rightarrow h_ {125〜 \ rm gev} b \ bar {b} w^+w^ - \ rightarrow b \ bar {b}jjlνl$事件来自蒙特卡洛（MC）样本，特别是在重建相关最终状态时，to antim k_t $ algorithm的最终状态。最后，我们表明光谱聚类的结果是在算法的参数设置中没有任何更改的情况下获得的，与抗$ k_t $ case不同，抗$ k_t $ case需要将圆锥体大小调整为正在研究的物理过程。
We present a new approach to jet definition alternative to clustering methods, such as the anti-$k_T$ scheme, that exploit kinematic data directly. Instead the new method uses kinematic information to represent the particles in a multidimensional space, as in spectral clustering. After confirming its Infra-Red (IR) safety, we compare its performance in analysing $gg \rightarrow H_{125~\rm GeV} \rightarrow H_{40~\rm GeV}H_{40~\rm GeV} \rightarrow b\bar{b}b\bar{b}$, $gg \rightarrow H_{500~\rm GeV} \rightarrow H_{125~\rm GeV}H_{125~\rm GeV} \rightarrow b\bar{b}b\bar{b}$ and $gg, q\bar{q} \rightarrow t\bar{t} \rightarrow b\bar{b}W^+W^- \rightarrow b\bar{b}jjlνl$ events from Monte Carlo (MC) samples, specifically, in reconstructing the relevant final states, to that of the anti-$k_T$ algorithm. Finally, we show that the results for spectral clustering are obtained without any change in the parameter settings of the algorithm, unlike the anti-$k_T$ case, which requires the cone size to be adjusted to the physics process under study.
