基于局部聚集描述子向量的重味射流识别
Identifying Heavy-Flavor Jets Using Vectors of Locally Aggregated Descriptors
摘要：
准直粒子射流在高能碰撞中有多种用途。近年来，人们对高能重离子碰撞中产生夸克-胶子等离子体（QGP）与喷流相互作用的研究越来越感兴趣，特别是对理解QGP介质中部分子能量损失及其对喷流簇射和碎裂的相关修正的研究。由于QGP是一种有色介质，射流淬灭的程度，因此，介质的传输特性预计是敏感的基本属性的射流，如味道的部分子，启动射流。识别喷流味，使提取的质量依赖于喷流QGP相互作用。我们提出了一种新的方法来标记重味喷流在对撞机实验中，通过\texttt{JetVLAD}模型架构利用射流成分内包含的信息。我们展示了该模型在质子-质子碰撞中的性能，其特征在于质心能量为$\sqrt{s} = 200$ GeV，并展示了其在各种射流动量和现实生产截面提取高纯度重口味射流样品的能力，包括对超时堆积的影响的简要讨论。这些研究为未来在当前和未来的对撞机实验中使用射流能量进行高纯度重口味测量开辟了新的机会。
英文摘要：
Jets of collimated particles serve a multitude of purposes in high energy collisions. Recently, studies of jet interaction with the quark-gluon plasma (QGP) created in high energy heavy ion collisions are of growing interest, particularly towards understanding partonic energy loss in the QGP medium and its related modifications of the jet shower and fragmentation. Since the QGP is a colored medium, the extent of jet quenching and consequently, the transport properties of the medium are expected to be sensitive to fundamental properties of the jets such as the flavor of the parton that initiates the jet. Identifying the jet flavor enables an extraction of the mass dependence in jet-QGP interactions. We present a novel approach to tagging heavy-flavor jets at collider experiments utilizing the information contained within jet constituents via the \texttt{JetVLAD} model architecture. We show the performance of this model in proton-proton collisions at center of mass energy $\sqrt{s} = 200$ GeV as characterized by common metrics and showcase its ability to extract high purity heavy-flavor jet sample at various jet momenta and realistic production cross-sections including a brief discussion on the impact of out-of-time pile-up. Such studies open new opportunities for future high purity heavy-flavor measurements at jet energies accessible at current and future collider experiments.
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