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Principles of general final-state resummation and automated implementation

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arxiv hep-ph/0407286 v2 pith:XT5TBJAX submitted 2004-07-24 hep-ph

Andrea Banfi , Gavin P. Salam , Giulia Zanderighi This is my paper
classification hep-ph
keywords observablefinal-statecharacteristicsresummationresummedapproacharbitraryarticle
verification ladder T0 review T1 audit T2 compute T3 formal
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Next-to-leading logarithmic final-state resummed predictions have traditionally been calculated, manually, separately for each observable. In this article we derive NLL resummed results for generic observables. We highlight and discuss the conditions that the observable should satisfy for the approach to be valid, in particular continuous globalness and recursive infrared and collinear safety. The resulting resummation formula is expressed in terms of certain well-defined characteristics of the observable. We have written a computer program, CAESAR, which, given a subroutine for an arbitrary observable, determines those characteristics, enabling full automation of a large class of final-state resummations, in a range of processes.

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Cited by 7 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

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