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arXiv 2212.05076hep-ph
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QCD喷注中的Lund多重数

Lund multiplicity in QCD jets

Rok Medves, Alba Soto-Ontoso, Gregory Soyez

AI总结:

本研究计算了高能QCD喷注的平均Lund多重数,达到NNDL精度,结合NLO与蒙特卡洛修正,将理论不确定性降低50%,证明其适用于LHC的理论-数据比较。

摘要:

我们计算了高能QCD喷注的平均Lund多重数。这将早先针对$e^+e^-$碰撞中事件整体多重数所做的计算[arxiv:2205.02861],扩展到了LHC上可用的更大能量范围。我们的计算达到了次次双对数(NNDL)精度。我们的结果分为两部分:一部分是普适的共线部分,与$e^+e^-$计算相同;另一部分是非普适的大角度贡献,后者占总多重数的10-15%。通过将我们的重求和计算与固定阶NLO结果匹配,并结合蒙特卡洛模拟纳入非微扰修正,我们提供了精确的LHC预测。包含NNDL项使理论不确定性减少了50%,而在横向动量低至几个GeV的尺度下,非微扰修正仍保持在5%以下。这证明了Lund多重数在LHC上进行稳健的理论与数据比较的适用性。

英文摘要:

We compute the average Lund multiplicity of high-energy QCD jets. This extends an earlier calculation, done for event-wide multiplicity in $e^+e^-$ collisions [arxiv:2205.02861], to the large energy range available at the LHC. Our calculation achieves next-to-next-to-double logarithmic (NNDL) accuracy. Our results are split into a universal collinear piece, common to the $e^+e^-$ calculation, and a non-universal large-angle contribution. The latter amounts to 10-15% of the total multiplicity. We provide accurate LHC predictions by matching our resummed calculation to fixed-order NLO results and by incorporating non-perturbative corrections via Monte Carlo simulations. Including NNDL terms leads to a 50% reduction of the theoretical uncertainty, with non-perturbative corrections remaining below 5% down to transverse momentum scales of a few GeV. This proves the suitability of Lund multiplicities for robust theory-to-data comparisons at the LHC.

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。

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