发表机构
Department of Physics & Astronomy, University of California, Irvine（加州大学尔湾分校物理与天文系）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文研究LHC上利用粲标记喷注搜索双喷注共振的可行性，通过模拟预测灵敏度，表明在宽松工作点下可提升对粲夸克对共振的探测能力，为粲标记器性能提供目标。
AI 中文摘要
LHC的双喷注项目已广泛搜索衰变到包含性喷注的共振，并且最近搜索衰变到底夸克喷注的共振，其中背景抑制带来的灵敏度提升超过了底夸克标记中信号效率的损失。然而，尚未进行专门针对包含粲标记喷注的双喷注共振搜索。我们研究了使此类搜索与包含性双喷注搜索相竞争所需的粲标记性能。利用ATLAS 13 TeV双喷注质量谱（积分亮度为139 fb$^{-1}$），我们根据模拟的喷注味分数和参数化的粲、底和轻喷注标记效率，预测了预期的粲标记谱，并估计了在独占的单标记和双标记类别中进行轮廓似然搜索的灵敏度。在当前标记器最宽松的工作点下，粲标记搜索在考虑的全部共振质量范围内，提高了对衰变到两个粲夸克的共振的预期灵敏度，尽管定量灵敏度依赖于约束较差的粲标记效率在高横动量下的行为以及模拟的双喷注背景的重味组成。这些结果为粲标记器提供了性能目标，并推动了在LHC上开展专门的粲标记双喷注共振搜索的发展。
英文摘要
The LHC dijet program has searched extensively for resonances decaying to inclusive jets and, more recently, to bottom-quark jets, where the sensitivity enhancement from suppression of the background outweighs the loss of signal efficiency in bottom-quark tagging. However, no dedicated search for dijet resonances containing charm-tagged jets has been performed. We study the charm-tagging performance required to make such searches competitive with the inclusive dijet search. Using the ATLAS 13 TeV dijet mass spectrum with 139 fb$^{-1}$, we predict the expected charm-tagged spectra from simulated jet-flavor fractions and parameterized charm-, bottom-, and light-jet tagging efficiencies, and estimate the sensitivity of a profile-likelihood search in exclusive one- and two-tag categories. At the loosest working point of the current tagger, charm-tagged searches improve the expected sensitivity to a resonance decaying to two charm quarks across the full resonance mass range considered, although the quantitative sensitivity depends on the poorly constrained high-$\pt$ behavior of charm-tagging efficiencies and on the simulated heavy-flavor composition of the dijet background. These results provide performance targets for charm taggers and motivate the development of dedicated charm-tagged dijet resonance searches at the LHC.
