Parton distribution functions suitable for Monte-Carlo event generators

John C. Collins, Xiaomin Zu

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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 MS̄ 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 MS parton distribution functions. We present some simple approximations that enable an understanding of the sizes of the results to be obtained.

Original languageEnglish (US)
Pages (from-to)345-355
Number of pages11
JournalJournal of High Energy Physics
Volume6
Issue number6
DOIs
StatePublished - Jun 1 2002

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics

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