4.7 Article

Dijet azimuthal decorrelation in e plus e- annihilation

Journal

PHYSICS LETTERS B
Volume 840, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.physletb.2023.137903

Keywords

QCD; Jets; Resummation

Ask authors/readers for more resources

This study investigates non-global and clustering logarithms in the distribution of the azimuthal decorrelation between two jets in e+e- -> dijet events. The leading global single logarithms in the distribution are calculated at one loop and to all orders. The non-global and clustering logarithms are also computed up to four loops at finite Nc and numerically resummed to all orders in the large-Nc approximation. The impact of non-global logarithms on the resummed distribution is found to be substantial in the anti-kt algorithm, but significantly smaller in the kt algorithm.
We examine non-global and clustering logarithms in the distribution of the azimuthal decorrelation between two jets in e+e- -> dijet events, where the jets are defined with E-scheme recombination in the generalized kt algorithm. We calculate at one loop and to all orders the leading global single logarithms in the distribution of the said observable. We also compute at fixed order up to four loops at finite Nc the non-global and clustering logarithms, and numerically resum them to all orders in the large-Nc approximation. We compare our results at O(alpha s) and O(alpha s2) with those of the EVENT2 fixed-order Monte Carlo program and find agreement of the leading singular behavior of the azimuthal decorrelation distribution. We find that the impact of non-global logarithms on the resummed distribution in the anti-kt algorithm is substantial, while it is significantly smaller in the kt algorithm. Furthermore, the combined clustering and non-global logarithms in the kt algorithm have an even smaller effect on the distribution. Finally, we use the program Gnole to calculate the resummed distribution at NLL accuracy, thus achieving state-of-the-art accuracy for the resummation of this quantity.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/). Funded by SCOAP3.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available