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Optimal choice of factorization scales for the description of jet production at the LHC

Martin, A.D.; Ryskin, M.G.

Optimal choice of factorization scales for the description of jet production at the LHC Thumbnail


Authors

A.D. Martin

M.G. Ryskin



Abstract

To obtain more precise parton distribution functions (PDFs) it is important to include data on inclusive high transverse energy jet production in the global parton analyses. These data have high statistics and the NNLO terms in the perturbative QCD (pQCD) description are now available. Our aim is to reduce the uncertainty in the comparison of the jet data with pQCD. To ensure the best convergence of the pQCD series it is important to choose the appropriate factorization scales, μFμF . We show that it is possible to absorb and resum in the incoming PDFs and fragmentation function (D) an essential part of the higher αsαs -order corrections by determining the ‘optimal’ values of μFμF . We emphasize that it is necessary to optimize different factorization scales for the various factors in the cross section: indeed, both of the PDFs, and also the fragmentation function, have their own optimal scale. We show how the values of these scales can be calculated for the LO (NLO) part of the pQCD prediction of the cross section based on the theoretically known NLO (NNLO) corrections. After these scales are fixed at their optimal values, the residual factorization scale dependence is much reduced.

Citation

Martin, A., & Ryskin, M. (2017). Optimal choice of factorization scales for the description of jet production at the LHC. The European Physical Journal C, 77(4), Article 218. https://doi.org/10.1140/epjc/s10052-017-4783-z

Journal Article Type Article
Acceptance Date Mar 21, 2017
Online Publication Date Apr 5, 2017
Publication Date Apr 5, 2017
Deposit Date May 25, 2017
Publicly Available Date May 31, 2017
Journal European Physical Journal C: Particles and Fields
Print ISSN 1434-6044
Electronic ISSN 1434-6052
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 77
Issue 4
Article Number 218
DOI https://doi.org/10.1140/epjc/s10052-017-4783-z

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.





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