A Study of the Higgs boson decaying to a pair of bb quarks

Atlas最近使用粒子流实现了一种新的JET算法，该算法提高了带电强子测量的精度，同时保留了中性粒子的量热测量。菲利普将进行研究，以了解颗粒流喷流中b标记的性能。他将致力于这种喷气式飞机从ttbar数据样本到高喷气式PT范围的b标记效率校准的基于蒙特卡洛的外推。这些修正将纳入2019年精度校准(2019年夏季)和预期更新(2019年末)。这些任务的完成将使他获得ATLAS作者的资格。他将使用这些优化工具，利用大型强子对撞机第二轮ATLAS实验收集的完整数据样本，研究希格斯玻色子到一对b夸克的衰变。他的工作将包括希格斯玻色子的解析衰变和加速衰变。他将实施最先进的机器学习算法，以提高包含0-轻子的最终状态的信号与背景比。他的工作将导致对希格斯玻色子这一重要衰变模式的最佳测量。他还将研究当希格斯衰变为b夸克时，反常的希格斯三线性耦合对VH相关产生的总和微分率的影响。

ATLAS has recently implemented a new jet algorithm using particle flow which improves the accuracy of charged-hadron measurements while retaining the calorimeter measurements for neutral-particles. Philipp will conduct studies to understand the performance of b-tagging in particle flow jets. He will work on the Monte Carlo based extrapolation of the b-tagging efficiency calibration from the ttbar data sample to the high jet pT range, for this jet category. These corrections will be incorporated in the 2019 precision calibrations (summer 2019) and the expected update (late 2019). The completion of these tasks will lead to his qualification as an ATLAS author.He will use these optimal tools to study the decay Higgs boson to a pair of b quarks with the full data sample collected by the ATLAS experiment in RUN 2 of the LHC. His work will include both resolved and boosted decays of the Higgs boson. He will implement state-of-the-art machine learning algorithms to increase the signal to background ratio in the final state containing 0-leptons. His work will lead to the best measurement of this important decay mode of the Higgs boson. He will also study the effects induced by an anomalous Higgs trilinear coupling on the totaland differential rate of VH associated production when the Higgs decays into b-quarks.