期刊
JOURNAL OF INSTRUMENTATION
卷 12, 期 -, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1748-0221/12/08/P08020
关键词
Analysis and statistical methods; Data processing methods; Computing (architecture, farms, GRID for recording, storage, archiving, and distribution of data)
资金
- Ministry of Innovation, Science and Research of the State of North Rhine-Westphalia
- Federal Ministry of Education and Research (BMBF)
The direct measurement of the top quark-Higgs coupling is one of the important questions in understanding the Higgs boson. The coupling can be obtained through measurement of the top quark pair-associated Higgs boson production cross-section. Of the multiple challenges arising in this cross-section measurement, we investigate the reconstruction of the partons originating from the hard scattering process using the measured jets in simulated t (t) over barH events. The task corresponds to an assignment challenge of m objects (jets) to n other objects (partons), where m >= n. We compare several methods with emphasis on a concept based on deep learning techniques which yields the best results with more than 50% of correct jet-parton assignments.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据