LHC物理数据集，用于40 MHz下的无监督新物理检测
LHC physics dataset for unsupervised New Physics detection at 40 MHz
摘要：
在大型强子对撞机的粒子探测器中，每秒产生数十兆字节的数据，这些数据来自以40兆赫的速率发生的质子-质子碰撞。通过实时事件过滤器处理系统将该数据速率降低到可持续的水平，该系统决定每个碰撞事件是否应该被保留以供进一步分析或被丢弃。我们介绍了一个数据集的质子碰撞事件，它模拟了一个典型的数据流收集这样一个实时处理系统，预先过滤，需要存在至少一个电子或μ子。该数据集可用于开发新的事件选择策略，并评估它们对新现象的敏感性。特别是，通过发布这个数据集，我们打算刺激一个基于社区的努力，设计新的算法，用于执行无监督的新物理检测，定制，以适应带宽，延迟和计算资源的限制，一个典型的粒子探测器的实时事件选择系统。
英文摘要：
In particle detectors at the Large Hadron Collider, tens of terabytes of data are produced every second from proton-proton collisions occurring at a rate of 40 megahertz. This data rate is reduced to a sustainable level by a real-time event filter processing system which decides whether each collision event should be kept for further analysis or be discarded. We introduce a dataset of proton collision events which emulates a typical data stream collected by such a real-time processing system, pre-filtered by requiring the presence of at least one electron or muon. This dataset could be used to develop novel event selection strategies and assess their sensitivity to new phenomena. In particular, by publishing this dataset we intend to stimulate a community-based effort towards the design of novel algorithms for performing unsupervised New Physics detection, customized to fit the bandwidth, latency and computational resource constraints of the real-time event selection system of a typical particle detector.
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。
