论文标题
FCC-EE的喷气流量标记
Jet-Flavour Tagging at FCC-ee
论文作者
论文摘要
喷气流量识别算法对于最大程度地提高未来圆形撞机（FCC）的物理潜力至关重要。在广泛的FCC-EE物理计划中，鉴于Higgs Boson的Handronic衰变的主导地位，风味标记对于Higgs物理学计划至关重要。 $ b $ - ，$ c $ - ，$ s $ - 和GLUON喷气机的高效歧视允许访问LHC无法在LHC上识别的新颖衰减模式，从而为Higgs Physics计划增加了定量的新维度。 该贡献提出了基于利用粒子级信息的先进机器学习技术的新喷气风味识别算法。除了出色的表现$ b $ - 和$ c $ quark的标签之外，他们还能够将喷气式飞机与奇怪的夸克强调歧视，从而为提高希格斯对奇异夸克耦合的敏感性开辟了道路。使用FCC-EE的基线探测器概念之一评估了不同检测器设计假设对风味标记性能的影响。
Jet-flavour identification algorithms are of paramount importance to maximise the physics potential of the Future Circular Collider (FCC). Out of the extensive FCC-ee physics program, flavour tagging is crucial for the Higgs physics program, given the dominance of hadronic decays of the Higgs boson. Highly efficient discrimination of $b$-, $c$-, $s$-, and gluon jets allows access to novel decay modes that cannot be identified at the LHC, adding quantitatively new dimensions to the Higgs physics programme. This contribution presents new jet flavour identification algorithms based on advanced machine-learning techniques that exploit particle-level information. Beyond an excellent performance of $b$- and $c$-quark tagging, they are also able to discriminate jets from strange quark hadronisation, opening the way to improve the sensitivity of the Higgs to strange quark coupling. The impact of different detector design assumptions on the flavour tagging performance is assessed using one of the baseline detector concepts for FCC-ee, IDEA.
