Consistent Factorization of Jet Observables in Exclusive Multijet Cross-Sections
Stephen D. Ellis, Andrew Hornig, Christopher Lee, Christopher K., Vermilion, Jonathan R. Walsh

TL;DR
This paper proves the consistency of a factorization theorem for jet shape observables in multijet e+e- collisions at NLL accuracy, accounting for various jet algorithms, numbers, and configurations, with detailed anomalous dimension cancellations.
Contribution
It demonstrates the NLL-level consistency of a SCET-based factorization theorem for jet shapes in multijet final states, including complex cancellations across different jet algorithms and configurations.
Findings
Factorization theorem is consistent at NLL for any number of jets.
Anomalous dimensions cancel intricately across different jet types and algorithms.
Results enable calculation of diverse jet observables to NLL accuracy.
Abstract
We demonstrate the consistency at the next-to-leading-logarithmic (NLL) level of a factorization theorem based on Soft-Collinear Effective Theory (SCET) for jet shapes in e+e- collisions. We consider measuring jet observables in exclusive multijet final states defined with cone and k_T-type jet algorithms. Consistency of the factorization theorem requires that the renormalization group evolution of hard, jet, and soft functions is such that the physical cross-section is independent of the factorization scale mu. The anomalous dimensions of the various factorized pieces, however, depend on the color representation of jets, choice of jet observable, the number of jets whose shapes are measured, and the jet algorithm, making it highly nontrivial to satisfy the consistency condition. We demonstrate the intricate cancellations between anomalous dimensions that occur at the NLL level, so…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
