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

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

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
• Public URL: https://durham-repository.worktribe.com/output/1378313