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Resummation for (boosted) top-quark pair production at NNLO+NNLL′ in QCD

机译:在QCD中的NNLO + NNLL'中的(提升)顶级夸克对生产

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摘要

Abstract We construct predictions for top quark pair differential distributions at hadron colliders that combine state-of-the-art NNLO QCD calculations with double resummation at NNLL′ accuracy of threshold logarithms arising from soft gluon emissions and of small mass logarithms. This is the first time a resummed calculation at full NNLO+NNLL′ accuracy in QCD for a process with non-trivial color structure has been completed at the differential level. Of main interest to us is the stability of the Mtt¯ $$ {M}_{toverline{t}} $$ and top-quark p T distributions in the boosted regime where fixed order calculations may become strongly dependent on the choice of dynamic scales. With the help of numeric and analytic arguments we confirm that the choice for the factorization and renormalization scales advocated recently by some of the authors is indeed optimal. We further derive a set of optimized kinematics-dependent scales for the matching functions which appear in the resummed calculations. Our NNLO+NNLL′ prediction for the top-pair invariant mass is significantly less sensitive to the choice of factorization scale than the fixed order prediction, even at NNLO. Notably, the resummed and fixed order calculations are in nearly perfect agreement with each other in the full Mtt¯ $$ {M}_{toverline{t}} $$ range when the optimal dynamic scale is used. For the top-quark p T distribution the resummation performed here has less of an impact and instead we find that upgrading the matching with fixed-order from NLO+NNLL′ to NNLO+NNLL′ to be an important effect, a point to be kept in mind when using NLO-based Monte Carlo event generators to calculate this distribution.
机译:在强子对撞机摘要构建体的预测为顶夸克对差分分布,在从软胶子排放和小质量对数而产生的阈值对数NNLL'准确性结合状态的最先进的NNLO QCD计算双resummation。这是第一次在全NNLO + NNLL'在QCD精度与非平凡的色结构的过程的已恢复的计算已经在差动级已经完成。主要我们感兴趣的是MTT的稳定性$$ {M} _在提振政权【T 划线【T}} $$和顶夸克p t - 分布,其中固定的顺序计算会变得非常依赖于选择动态秤。随着数字和分析参数的帮助下,我们证实了最近一些作者倡导的分解和重整化尺度的选择确实是最优的。我们进一步导出一组针对出现在已恢复的计算的匹配函数优化的运动学依赖性尺度。我们的NNLO + NNLL'预测顶对不变质量是选择因式分解规模的比固定顺序预测显著较不敏感,即使是在NNLO。值得注意的是,已恢复和固定的顺序计算是在全MTT彼此近乎完美的协议$$ {M} _【T 划线横置} $$当使用最佳的动态量程。对于resummation这里进行顶夸克p t分布具有的影响较小,相反,我们发现,升级与非线性光学+ NNLL'到NNLO + NNLL“定为了有重要影响的匹配,要保持一个点考虑使用基于非线性光学蒙特卡洛事件生成时,计算这个分布。

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