Better jet clustering algorithms | Zendy

Yuri L. Dokshitzer | Zendy; Garth Leder | Zendy; Stefano Moretti | Zendy; B.R. Webber | Zendy

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Better jet clustering algorithms

Author(s) -

Yuri L. Dokshitzer,

Garth Leder,

Stefano Moretti,

B.R. Webber

Publication year - 1997

Publication title -

journal of high energy physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.998

H-Index - 261

eISSN - 1126-6708

pISSN - 1029-8479

DOI - 10.1088/1126-6708/1997/08/001

Subject(s) - cluster analysis , substructure , jet (fluid) , algorithm , computer science , resolution (logic) , simple (philosophy) , sequence (biology) , physics , artificial intelligence , mechanics , engineering , chemistry , structural engineering , philosophy , epistemology , biochemistry

We investigate modifications to the $k_\perp$-clustering jet algorithm whichpreserve the advantages of the original Durham algorithm while reducingnon-perturbative corrections and providing better resolution of jetsubstructure. We find that a simple change in the sequence of clustering(combining smaller-angle pairs first), together with the `freezing' of softresolved jets, has beneficial effects.

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