2017/05/31 by Zhong-Bo Kang, Felix Ringer, Wouter J. Waalewijn · 70 citations
Mathematics · Physics and Astronomy · #Algorithm #Astrophysics and Cosmic Phenomena #Computer science #Cosmology and Gravitation Theories #Distribution (mathematics) #Factorization #Jet (fluid) #Logarithm #Matching (statistics) #Mathematical analysis #Mathematics #Mechanics #Nuclear physics #Order (exchange) #Particle physics #Particle physics theoretical and experimental studies #Physics #RADIUS #Recoil #Statistics #hep-ex #hep-ph #nucl-ex #nucl-th
paper · pdf · doi:10.1007/jhep07(2017)064
published in Journal of High Energy Physics 2017(7) (Springer Nature) · 39 pages, 7 figures, v2: journal version
openalex publication_date 2017/07/01 · arxiv created 2017/07/11 · arxiv updated 2017/07/25 · openalex created_date 2020/11/23 · openalex updated_date 2026/08/06
We present a framework that describes the energy distribution of subjets of radius r within a jet of radius R. We consider both an inclusive sample of subjets as well as subjets centered around a predetermined axis, from which the jet shape can be obtained. For r ≪ R we factorize the physics at angular scales r and R to resum the logarithms of r/R. For central subjets, we consider both the standard jet axis and the winner-take-all axis, which involve double and single logarithms of r/R, respectively. All relevant one-loop matching coefficients are given, and an inconsistency in some previous results for cone jets is resolved. Our results for the standard jet shape differ from previous calculations at next-to-leading logarithmic order, because we account for the recoil of the standard jet axis due to soft radiation. Numerical results are presented for an inclusive subjet sample for pp → jet + X at next-to-leading order plus leading logarithmic order.