通过利用堆积作为零偏差触发器获得LHC数据的底线
A Bottom Line for the LHC Data by Leveraging Pileup as a Zero Bias Trigger
摘要：
由于有限的带宽和相对于感兴趣的物理过程的速率的大的质子-质子相互作用截面，在大型强子对撞机（LHC）产生的大多数事件被实时丢弃。一个复杂的触发系统必须快速决定哪些事件应该被保留，并且对于广泛的过程来说是非常有效的。然而，有许多过程不能被这个触发系统容纳。此外，可能存在在数据获取之后构建的超出标准模型（BSM）的物理模型，其可能已经被触发，但是在运行时没有实现触发器。这两种情况都可以通过利用堆积相互作用作为有效的零偏差样本来覆盖。在高亮度LHC操作结束时，这个零偏差数据集将积累大约1/fb的数据，从中可以为文献中已经存在的BSM模型和尚未出现的BSM模型设置O（1）fb的底线截面限制。
英文摘要：
Due to a limited bandwidth and a large proton-proton interaction cross-section relative to the rate of interesting physics processes, most events produced at the Large Hadron Collider (LHC) are discarded in real time. A sophisticated trigger system must quickly decide which events should be kept and is very efficient for a broad range of processes. However, there are many processes that cannot be accommodated by this trigger system. Furthermore, there may be models of physics beyond the Standard Model (BSM) constructed after data taking that could have been triggered, but no trigger was implemented at run time. Both of these cases can be covered by exploiting pileup interactions as an effective zero bias sample. At the end of High-Luminosity LHC operations, this zero bias dataset will have accumulated about 1/fb of data from which a bottom line cross-section limit of O(1) fb can be set for BSM models already in the literature and those yet to come.
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。
