Nuclear Physics B ( IF 2.8 ) Pub Date : 2021-01-26 , DOI: 10.1016/j.nuclphysb.2021.115328 Blaž Bortolato , Jernej F. Kamenik , Nejc Košnik , Aleks Smolkovič
We use machine learning (ML) and non-ML techniques to study optimized CP-odd observables, directly and maximally sensitive to the CP-odd interaction at the LHC and prospective future hadron colliders using the final state with a Higgs boson and a top quark pair, , followed by semileptonic t decays. We perform phase-space optimization of manifestly CP-odd observables (ω), sensitive to the sign of , and constructed from experimentally accessible final state momenta. We identify a simple optimized linear combination that gives similar sensitivity as the studied fully fledged ML models. Using we project the expected sensitivities to at HL-LHC, HE-LHC, and FCC-hh.
中文翻译:
CP中奇数效应的优化探针 强子对撞机的过程
我们用机器学习(ML)和非ML技术研究优化CP余观测,直接到最大限度敏感CP有余 在大型强子对撞机和未来的强子对撞机之间进行交互,并使用最终状态与希格斯玻色子和顶夸克对, ,然后是半轻度t衰变。我们执行对CP符号奇数敏感的明显CP奇数可观察值(ω)的相空间优化,并根据实验可访问的最终状态动量构造。我们确定一个简单的优化线性组合具有与研究的完全成熟的ML模型相似的敏感性。使用 我们预计对 在HL-LHC,HE-LHC和FCC-hh。