Identifying D Mesons from Radiative W Decays at the Large Hadron Collider

被引：0

作者：

Bakos, Evelin ^{[1
,2
]}

de Groot, Nicolo ^{[2
]}

Vranjes, Nenad ^{[1
]}

机构：

[1] Univ Belgrade, Inst Phys, Pregrev 118, Belgrade 11080, Serbia

[2] Radboud Univ & Nikhef, Inst Math Astrophys & Particle Phys IMAPP, Heyendaalseweg 135, NL-6525 AJ Nijmegen, Netherlands

来源：

SYMMETRY-BASEL | 2023年 / 15卷 / 10期

关键词：

standard model QCD processes; W-boson rare decays; jet tagging; machine learning;

D O I：

10.3390/sym15101948

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, we present two machine learning algorithms to identify D mesons produced in a colour singlet state from radiative W boson decays at the LHC. The combined network algorithm is able to identify D mesons via its hadronic decays with an efficiency of 47% while suppressing a background of quark and gluon jets by a factor of 100. Using the developed algorithm, we perform a prospective study for the measurement of B(W -> D-s gamma).

引用

页数：10

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