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000611212 005__ 20250713011713.0
000611212 0247_ $$2arXiv$$aarXiv:2407.00545
000611212 0247_ $$2datacite_doi$$a10.3204/PUBDB-2024-04864
000611212 037__ $$aPUBDB-2024-04864
000611212 041__ $$aEnglish
000611212 088__ $$2arXiv$$aarXiv:2407.00545
000611212 088__ $$2DESY$$aDESY-24-092
000611212 1001_ $$0P:(DE-H253)PIP1011827$$aAlekhin, Sergey$$b0
000611212 245__ $$aNNLO PDFs driven by top-quark data
000611212 260__ $$c2024
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000611212 500__ $$a33 pages, 22 figures, 4 tables
000611212 520__ $$aWe study the impact of state-of-the-art top-quark data collected at the Large Hadron Collider on parton distribution functions (PDFs). Following the ABMP methodology, the fit extracts simultaneously proton PDFs, the strong coupling $\alpha_s(M_Z)$ and heavy-quark masses at next-to-next-to-leading order (NNLO) accuracy in QCD. It includes recent high-statistics data on absolute total inclusive cross sections for $t\bar{t}+X$, the sum of $(t + X)$ and $(\bar{t} + X)$ hadroproduction, and normalized inclusive data double-differential in the invariant mass and rapidity of the $t\bar{t}$ pair at $\sqrt{S}=13$ TeV. The gluon PDF at large $x$ and the top-quark mass value derived from these data are well compatible with the previous ABMP16 results, but with significantly smaller uncertainties, reduced by up to a factor of two. At NNLO in QCD we obtain for the strong coupling the value $\alpha_s^{(n_f=5)}(M_Z)= 0.1150 \pm 0.0009$ and for the top-quark mass in the ${\overline{\mbox{MS}}}$-scheme $m_t(m_t) = 160.6 \pm 0.6$ GeV, corresponding to $m_t^{\rm pole} = 170.2 \pm 0.7$ GeV in the on-shell scheme. The new fit, dubbed ABMPtt, is publicly released in grids in LHAPDF format.
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000611212 536__ $$0G:(DE-Ds200)BMBF-05H21GUCCA$$a05H21GUCCA - Verbundprojekt 05H2021 (ErUM-FSP T03) - Run 3 von CMS am LHC: Präzisionsbestimmung von Partondichtefunktionen und Top-Quark-Masse (BMBF-05H21GUCCA)$$cBMBF-05H21GUCCA$$f05H21GUCCA$$x2
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000611212 7001_ $$0P:(DE-H253)PIP1023234$$aGarzelli, Maria Vittoria$$b1$$eCorresponding author
000611212 7001_ $$0P:(DE-H253)PIP1003775$$aMoch, Sven-Olaf$$b2
000611212 7001_ $$0P:(DE-H253)PIP1007500$$aZenaiev, Oleksandr$$b3
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