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CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France.
Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, Oklahoma, USA.
Phys Rev Lett. 2020 Sep 25;125(13):131801. doi: 10.1103/PhysRevLett.125.131801.
This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for m_{A}∼O(TeV), m_{B},m_{C}∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 sqrt[s]=13 TeV pp collision dataset of 139 fb^{-1} recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with m_{A}, m_{B}, and m_{C}. For example, when m_{A}=3 TeV and m_{B}≳200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on m_{C}. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.
本信函描述了一种使用机器学习异常检测程序寻找窄共振新物理的方法，该程序在开发分析选择时不依赖信号模拟。弱监督学习用于直接在数据上训练分类器以增强潜在信号。目标拓扑是双喷注事件，用于机器学习的特征是两个喷注的质量。最终的分析本质上是一个三维搜索(A→BC)，对于(m_{A}∼O(TeV))，(m_{B})，(m_{C}∼O(100 GeV))，且(B)、(C)被重建为大半径喷注，在扫描两个喷注质量时不会因大的试验因子而受到惩罚。大型强子对撞机上的ATLAS探测器记录的(139 fb^{-1})的完整运行2(\sqrt[s]=13 TeV)质子-质子碰撞数据集用于此次搜索。在1.8至8.2 TeV的双喷注不变质量谱中没有明显的局部过量证据。窄宽度(A)、(B)和(C)粒子的截面极限随(m_{A})、(m_{B})和(m_{C})而变化。例如，当(m_{A}=3 TeV)且(m_{B}≳200 GeV)时，根据(m_{C})，在95%置信水平下排除1至5 fb的产生截面。对于某些质量，这些极限比通过包容性双喷注搜索获得包容性双喷注搜索获得的极限敏感高达10倍。这些结果补充了针对(B)和(C)为标准模型玻色子情况的专门搜索。
