论文标题
具有横向动量依赖分裂功能的Parton分支算法
A parton branching algorithm with transverse momentum dependent splitting functions
论文作者
论文摘要
Parton分支方法是蒙特卡洛（MC）发电机的基础，因此对于获得高能量物理预测至关重要。我们构建了一种新的Parton分支算法，该算法首次结合了离子横向依赖性（TMD）拆分函数，该函数是根据党衰减振幅的高能极限定义的。基于这些TMD拆分功能，我们构建了一个新的TMD Sudakov形式。我们介绍了用于TMD和集成的Parton分布功能（PDFS）的算法的第一个MC实现。我们使用此实现来评估对分布的小$ x $校正，并验证势头和规则。介绍的研究是迈向覆盖小$ x $相位空间的完整TMD MC发电机的第一步。
Parton branching methods underlie the Monte Carlo (MC) generators, being therefore of key importance for obtaining high energy physics predictions. We construct a new parton branching algorithm which for the first time incorporates the off-shell, transverse-momentum dependent (TMD) splitting functions, defined from the high-energy limit of partonic decay amplitudes. Based on these TMD splitting functions we construct a new TMD Sudakov form factor. We present the first MC implementation of the algorithm for the evolution of the TMD and integrated parton distribution functions (PDFs). We use this implementation to evaluate small-$x$ corrections to the distributions and to verify the momentum sum rule. The presented study is a first step towards a full TMD MC generator covering the small-$x$ phase space.
