Better Jet Clustering Algorithms

Abstract

We investigate modifications to the $k_{\perp }$-clustering jet algorithm which preserve the advantages of the original Durham algorithm while reducing non-perturbative corrections and providing better resolution of jet substructure. We find that a simple change in the sequence of clustering (combining smaller-angle pairs first), together with the `freezing' of soft resolved jets, has beneficial effects.

Comments: 32 pages, 16 figures, LaTeX2e, uses JHEP.cls (included). Version to be published in JHEP: reference to LUCLUS algorithm added. Program available at http://www.hep.phy.cam.ac.uk/theory/webber/camjet/