NNLO fits of top-quark mass using total, single-differential and double-differential t-tbar+X cross-section data

We describe the fits of the top-quark mass value at NNLO using as input the double-differential distributions in rapidity and invariant mass of $t\bar{t}$ pairs obtained by the ATLAS and CMS collaborations from unfolding of their experimental data to the parton level, compared to NNLO theory predictions. We consider different state-of-the-art PDF sets, finding results of the fits compatible among each other within uncertainties. On the other hand, we observe some tension among the fits to different datasets.

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Published
2024-12-29
DOI
https://doi.org/10.22323/1.476.0393
Primary Topic
Particle physics theoretical and experimental studies
Type
article
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article

NNLO fits of top-quark mass using total, single-differential and double-differential t-tbar+X cross-section data

S. Moch, Maria Vittoria Garzelli, S. Alekhin, Javier Mazzitelli et al.
Particle physics theoretical and experimental studies
article

NNLO fits of top-quark mass using total, single-differential and double-differential t-tbar+X cross-section data

S. Moch, Maria Vittoria Garzelli, S. Alekhin, Javier Mazzitelli, Oleksandr Zenaiev
article en

Abstract

We describe the fits of the top-quark mass value at NNLO using as input the double-differential distributions in rapidity and invariant mass of $t\bar{t}$ pairs obtained by the ATLAS and CMS collaborations from unfolding of their experimental data to the parton level, compared to NNLO theory predictions. We consider different state-of-the-art PDF sets, finding results of the fits compatible among each other within uncertainties. On the other hand, we observe some tension among the fits to different datasets.

Universität Hamburg (DE), Paul Scherrer Institute (CH), Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari (IT), European Organization for Nuclear Research (CH)
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Particle physics theoretical and experimental studies
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NNLO fits of top-quark mass using total, single-differential and double-differential t-tbar+X cross-section data — S. Moch, Maria Vittoria Garzelli, et al. · (2024) | TGRS Research Map | TGRS