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Parton distribution functions suitable for Monte-Carlo event generators

John C. Collins et al JHEP06(2002)018   doi: 10.1088/1126-6708/2002/06/018  Help

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John C. Collins1 and Xiaomin Zu1
1 Physics Department, Penn State University, 104 Davey Laboratory, University Park, PA 16802, USA
E-mail: xiaozu@phys.psu.edu

Abstract. In the usual factorization theorems, which give predictions only for inclusive cross sections, there is considerable freedom in the choice of the scheme to define the parton distribution functions. These theorems do not directly apply to Monte-Carlo event generators, and more general factorization theorems which give predictions for fully exclusive cross sections are needed. It has been shown that appropriate parton distribution functions are uniquely defined by the showering algorithm. In this paper, we present results of calculations of the Monte-Carlo parton distribution functions in terms of the commonly used overlineMS parton distribution functions. At small x the differences are large, which demonstrates the importance of using the correct parton distribution functions in an event generator rather than overlineMS parton distribution functions. We present some simple approximations that enable an understanding of the sizes of the results to be obtained.

Key words: QCD; NLO Computations

E-print number: hep-ph/0204127
Cited: by
Refers: to

Received 17 April 2002, accepted for publication 10 June 2002
Published 18 June 2002

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