NNLO PDFs driven by top-quark data

S Alekhin, MV Garzelli, SO Moch, O Zenaiev - arXiv preprint arXiv …, 2024 - arxiv.org
S Alekhin, MV Garzelli, SO Moch, O Zenaiev
arXiv preprint arXiv:2407.00545, 2024arxiv.org
We study the impact of state-of-the-art top-quark data collected at the Large Hadron Collider
on parton distribution functions (PDFs). Following the ABMP methodology, the fit extracts
simultaneously proton PDFs, the strong coupling $\alpha_s (M_Z) $ and heavy-quark
masses at next-to-next-to-leading order (NNLO) accuracy in QCD. It includes recent high-
statistics data on absolute total inclusive cross sections for $ t\bar {t}+ X $, the sum of $(t+ X)
$ and $(\bar {t}+ X) $ hadroproduction, and normalized inclusive data double-differential in …
We study the impact of state-of-the-art top-quark data collected at the Large Hadron Collider on parton distribution functions (PDFs). Following the ABMP methodology, the fit extracts simultaneously proton PDFs, the strong coupling and heavy-quark masses at next-to-next-to-leading order (NNLO) accuracy in QCD. It includes recent high-statistics data on absolute total inclusive cross sections for , the sum of and hadroproduction, and normalized inclusive data double-differential in the invariant mass and rapidity of the pair at TeV. The gluon PDF at large and the top-quark mass value derived from these data are well compatible with the previous ABMP16 results, but with significantly smaller uncertainties, reduced by up to a factor of two. At NNLO in QCD we obtain for the strong coupling the value and for the top-quark mass in the -scheme GeV, corresponding to GeV in the on-shell scheme. The new fit, dubbed ABMPtt, is publicly released in grids in LHAPDF format.
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