多喷流背景估计中的再平衡和散射
Rebalance and Smear for Multi-jet Background Estimation
摘要：
对于许多粒子对撞机在具有喷流和缺少横向动量的终态中寻找超越标准模型的物理学，来自QCD多喷流过程的事件是一个重要且具有挑战性的背景贡献。CMS和ATLAS实验先前已经开发了数据驱动的方法，旨在成功地在蒙特卡洛方法遭受很大的理论和实验不确定性。其中一种方法是Rebalance and Sunday（R&S），它通过对数据控制区域应用一系列折叠和展开技术来预测QCD背景。自上而下的R&S方法的描述，以及其适用性和局限性的讨论。提供了一个软件应用程序，该软件应用程序使用公共的非专有工具执行R\&S方法，并与Delphes 3生成的数据集进行交互。在一般情况下，该方法是适合于预测多喷流背景中寻找稳定的不可检测的粒子，如暗物质的候选人。在模拟的质子-质子碰撞事件在14 TeV的背景下进行了一个案例研究的Higgsino暗物质产生的超对称夸克伙伴的衰变产物的潜在搜索。潜在的偏见的来源进行了探讨，并建议处方评估系统的不确定性。
英文摘要：
For many particle collider searches for physics beyond the Standard Model in final states with jets and missing transverse momentum, events from QCD multi-jet processes are an important and challenging background contribution. The CMS and ATLAS experiments have previously developed data-driven methods designed to succeed where Monte Carlo methods suffer large theoretical and experimental uncertainties. One such method is Rebalance and Smear (R&S), which predicts QCD backgrounds by applying a series of folding and unfolding techniques to data control regions. A top-to-bottom description of the R&S method is presented, along with a discussion of its applicability and limitations. A software application is provided that performs the R\&S method using public, non-proprietary tools, interfacing with data sets produced by Delphes3. In general, the method is suitable for predicting multi-jet backgrounds in searches for stable non-detectable particles, such as dark matter candidates. A case study is carried out in simulated events of proton-proton collisions at 14 TeV in the context of a potential search for Higgsino dark matter produced in the decay products of supersymmetric quark partners. Sources of potential bias are explored and prescriptions for evaluating systematic uncertainties are suggested.
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