arXivDaily arXiv每日学术速递 周一至周五更新
今晚才能更新了~~大家休息下再来吧
arXiv 2201.01040hep-ph
收藏

Influence of QCD parton shower in deep learning invisible Higgs through vector boson fusion

Partha Konar, Vishal S. Ngairangbam

英文摘要:

Vector boson fusion established itself as a highly reliable channel to probe the Higgs boson and an avenue to uncover new physics at the Large Hadron Collider. This channel provides the most stringent bound on Higgs' invisible decay branching ratio, where the current upper limits are significantly higher than the one expected in the Standard Model. It is remarkable that merely low-level calorimeter data from this characteristically simple process can improve this limit substantially by employing sophisticated deep-learning techniques. The construction of such neural networks seems to comprehend the event kinematics and radiation pattern exceptionally well. However, the full potential of this outstanding capability also warrants a precise theoretical projection of QCD parton showering and corresponding radiation pattern. This work demonstrates the relation using different recoil schemes in the parton shower with leading order and higher-order computation.

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。

↑