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Better Jet Clustering Algorithms

High Energy Physics - Phenomenology 2010-02-04 v2 High Energy Physics - Experiment

Abstract

We investigate modifications to the kk_\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.

Keywords

Cite

@article{arxiv.hep-ph/9707323,
  title  = {Better Jet Clustering Algorithms},
  author = {Yu. L. Dokshitzer and G. D. Leder and S. Moretti and B. R. Webber},
  journal= {arXiv preprint arXiv:hep-ph/9707323},
  year   = {2010}
}

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/