用希格斯望远镜发现隐藏的区域
Spotting hidden sectors with Higgs binoculars
摘要：
我们探索的信号，新的物理与两个希格斯玻色子和大失踪的横向能量在大型强子对撞机。这种特征是暗物质或其他隐蔽粒子模型的特征，它们通过扩展的标量扇区耦合到标准模型。我们的目标是为这个新的签名提供搜索策略和解释框架，适用于一大类模型。为此，我们定义了导致两种不同事件拓扑的隐藏扇区的简化模型：对称衰减，即，成对产生的介质，每一个都衰变成希格斯加不可见的最终状态;和去希格斯共振，即，共振希格斯对的产生与一对不可见的粒子反冲。对于这两种情况，我们通过对具有四个底夸克和缺失能量的最终状态进行多变量分析来优化发现潜力，采用最先进的机器学习算法进行信号背景区分。我们确定的参数空间，大型强子对撞机可以在这两种情况下进行测试，从而促进我们的结果在完整的模型的解释。具有缺失能量的Di-Higgs生产与其他缺失能量搜索具有竞争力，因此提供了在LHC中找到隐藏粒子的新机会。
英文摘要：
We explore signals of new physics with two Higgs bosons and large missing transverse energy at the LHC. Such a signature is characteristic of models for dark matter or other secluded particles that couple to the standard model through an extended scalar sector. Our goal is to provide search strategies and an interpretation framework for this new signature that are applicable to a large class of models. To this end, we define simplified models of hidden sectors leading to two different event topologies: symmetric decay, i.e., pair-produced mediators decaying each into a Higgs plus invisible final state; and di-Higgs resonance, i.e., resonant Higgs-pair production recoiling against a pair of invisible particles. For both scenarios, we optimize the discovery potential by performing a multi-variate analysis of final states with four bottom quarks and missing energy, employing state-of-the-art machine learning algorithms for signal-background discrimination. We determine the parameter space that the LHC can test in both scenarios, thus facilitating an interpretation of our results in terms of complete models. Di-Higgs production with missing energy is competitive with other missing energy searches and thus provides a new opportunity to find hidden particles at the LHC.
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。
