English

Multi-Collinear Splitting Kernels for Track Function Evolution

High Energy Physics - Phenomenology 2024-02-06 v2 High Energy Physics - Experiment Nuclear Theory

Abstract

Jets and their substructure play a central role in many analyses at the Large Hadron Collider (LHC). To improve the precision of measurements, as well as to enable measurement of jet substructure at increasingly small angular scales, tracking information is often used due to its superior angular resolution and robustness to pile-up. Calculations of track-based observables involve non-perturbative track functions, that absorb infrared divergences in perturbative calculations and describe the transition to charged hadrons. The infrared divergences are directly related to the renormalization group evolution (RGE), and can be systematically computed in perturbation theory. Unlike the standard DGLAP evolution, the RGE of the track functions is non-linear, encoding correlations in the fragmentation process. We compute the next-to-leading order (NLO) evolution of the track functions, which involves in its kernel the full 131\rightarrow3 splitting function. We discuss in detail how how we implement the evolution equation numerically, and illustrate the size of the NLO corrections. We also show that our equation can be viewed as a master equation for collinear evolution at NLO, by illustrating that by integrating out specific terms, one can derive the evolution for any NN-hadron fragmentation function. Our results provide a crucial ingredient for obtaining track-based predictions for generic measurements at the LHC, and for improving the description of the collinear dynamics of jets.

Keywords

Cite

@article{arxiv.2210.10058,
  title  = {Multi-Collinear Splitting Kernels for Track Function Evolution},
  author = {Hao Chen and Max Jaarsma and Yibei Li and Ian Moult and Wouter J. Waalewijn and Hua Xing Zhu},
  journal= {arXiv preprint arXiv:2210.10058},
  year   = {2024}
}

Comments

69 pages, 12 figures, 3 tables, 1 Mathematica notebook, v2: journal version

R2 v1 2026-06-28T03:56:23.945Z