FunTuple：LHCb实验中用于离线数据处理的新型N元组组件
FunTuple: A new N-tuple component for offline data processing at the LHCb experiment
AI总结：
本文介绍LHCb离线数据处理新组件FunTuple，它复用触发系统工具计算并存储重建与模拟事件的可观测量，确保触发与离线分析结果一致，并通过完整单元测试验证可靠性。
摘要：
LHCb实验的离线软件框架经历了重大革新，以应对大型强子对撞机即将到来的Run 3和Run 4中出现的海量数据处理挑战。本文介绍了FunTuple，这是一个为LHCb实验离线数据处理开发的新型组件。该组件利用最初为触发系统开发的工具，能够计算并存储重建事件和模拟事件的各种可观测量。这一特性对于确保触发系统计算的可观测量与离线分析得到的可观测量之间的一致性至关重要。该组件及其工具套件为用户提供了灵活定制所存储可观测量的能力，其可靠性通过一套全覆盖的严格单元测试得到验证。本文全面探讨了FunTuple的设计、接口、与其他算法的交互，以及它在未来十年及更长时间内促进LHCb实验离线数据处理方面的作用。
英文摘要：
The offline software framework of the LHCb experiment has undergone a significant overhaul to tackle the data processing challenges that will arise in the upcoming Run 3 and Run 4 of the Large Hadron Collider. This paper introduces FunTuple, a novel component developed for offline data processing within the LHCb experiment. This component enables the computation and storage of a diverse range of observables for both reconstructed and simulated events by leveraging on the tools initially developed for the trigger system. This feature is crucial for ensuring consistency between trigger-computed and offline-analysed observables. The component and its tool suite offer users flexibility to customise stored observables, and its reliability is validated through a full-coverage set of rigorous unit tests. This paper comprehensively explores FunTuple's design, interface, interaction with other algorithms, and its role in facilitating offline data processing for the LHCb experiment for the next decade and beyond.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
