论文标题
在强子山子上的奇怪射流标记的最大性能
Maximum performance of strange-jet tagging at hadron colliders
论文作者
论文摘要
基于奇怪的Quark和Quark Bastronisation的模拟真相喷气机估算了奇怪的喷气标记在强子山子上的最大可实现性能以及不同检测器设计中的性能损失。两种类型的类型都使用较长的短期记忆单元将复发性神经网络分类，首先使用所有可用的真实粒子，然后应用选择来研究理想跟踪探测器，Cherenkov探测器和热量表的影响。此外，考虑了对奇怪的强子衰变的手动重建，例如$ k_s \rightarrowπ^+π^ - $从带电的轨道中考虑。
The maximum achievable performance of strange-jet tagging at hadron colliders and the loss in performance in different detector designs is estimated based on simulated truth jets from strange-quark and down-quark hadronisation. Both jet types are classified with a recurrent neural network using long short-term memory units, at first using all available truth particles and then applying selections to study the impacts of ideal tracking detectors, Cherenkov detectors, and calorimeters. Additionally, a manual reconstruction of strange hadron decays such as $K_S\rightarrow π^+ π^-$ from charged tracks is considered.
