论文标题
部分可观测时空混沌系统的无模型预测
Artificial Intelligence for Imaging Cherenkov Detectors at the EIC
论文作者
论文摘要
成像Cherenkov探测器在未来电子离子对撞机（EIC）上形成了粒子鉴定（PID）的骨干。目前，第一个EIC检测器提案的所有设计都使用强子端圈中的双环成像Cherenkov（DRICH）检测器，枪管中内部反射的Cherenkov（Dirc）光的检测器，以及电子端盖中的模块化（MRICH）。这些探测器涉及许多光子的光学过程，这些光子需要在模拟级别通过复杂表面跟踪，而对于重建，它们依赖于环图像的模式识别。该程序总结了EIC在EIC的Cherenkov探测器中的持续努力和可能的应用。特别是，我们将为AI辅助设计和DIRC提供一个示例，用于从复杂模式中进行仿真和粒子识别，并讨论使用AI的可能优势。
Imaging Cherenkov detectors form the backbone of particle identification (PID) at the future Electron Ion Collider (EIC). Currently all the designs for the first EIC detector proposal use a dual Ring Imaging CHerenkov (dRICH) detector in the hadron endcap, a Detector for Internally Reflected Cherenkov (DIRC) light in the barrel, and a modular RICH (mRICH) in the electron endcap. These detectors involve optical processes with many photons that need to be tracked through complex surfaces at the simulation level, while for reconstruction they rely on pattern recognition of ring images. This proceeding summarizes ongoing efforts and possible applications of AI for imaging Cherenkov detectors at EIC. In particular we will provide the example of the dRICH for the AI-assisted design and of the DIRC for simulation and particle identification from complex patterns and discuss possible advantages of using AI.
