论文标题
LHC上的Mueller-Navelet喷气机：带有方位角分布的狩猎数据
Mueller-Navelet jets at the LHC: hunting data with azimuthal distributions
论文作者
论文摘要
通过利用混合线性和高能量分解，在这种情况下，BFKL对近距离和临近能量对数的重新调整与Collinear Parton密度相结合，我们将Mueller-Navelet navelet快速性和角度差异速率与CMS在$ \ sqrt $ \ sqrt的数据收集到的数据进行比较。我们提供了一个证据，表明对方位角分布的研究，计算为相关矩的傅立叶总和，并体现来自所有共同旋转模式的高能量信号，允许我们克服在自然化尺度上以自然量表的最终状态在Mueller-Navelet最终状态的描述中出现的众所周知的问题。我们清楚地表明，当两个喷气机之间的速度间隔很大时，在自然尺度上对这些可观察到的近bfkl描述是有效的，并且它使我们能够从数据中捕获出核心的高能动力学。
By making use of the hybrid collinear and high-energy factorization, where the BFKL resummation of leading and next-to-leading energy logarithms is combined with the standard description in terms of collinear parton densities, we compare predictions for Mueller-Navelet jet rapidity and angular differential rates with data collected by CMS at $\sqrt{s} = 7$ TeV. We provide an evidence that the study of azimuthal distributions, calculated as a Fourier sum of correlation moments and embodying the high-energy signal coming from all conformal-spin modes, permits us to overcome the well-known issues emerging in the description of Mueller-Navelet final states at natural values of the renormalization scale. We come out with a clear indication that the next-to-leading BFKL description of these observables at natural scales is valid when the rapidity interval between the two jets is large, and it allows us to catch the core high-energy dynamics emerging from data.
