Erratum to: Determination of the strong coupling constant αs(mZ) in next-to-next-to-leading order QCD using H1 jet cross section measurements

H1 Collaboration

Research output: Contribution to JournalErratum / CorrigendumAcademic

Abstract

The determination of the strong coupling constant αs(mZ) from H1 inclusive and dijet cross section data [1] exploits perturbative QCD predictions in next-to-next-to-leading order (NNLO) [2–4]. An implementation error in the NNLO predictions was found [4] which changes the numerical values of the predictions and the resulting values of the fits. Using the corrected NNLO predictions together with inclusive jet and dijet data, the strong coupling constant is determined to be αs(mZ)=0.1166(19)exp(24)th. Complementarily, αs(mZ) is determined together with parton distribution functions of the proton (PDFs) from jet and inclusive DIS data measured by the H1 experiment. The value αs(mZ)=0.1147(25)tot obtained is consistent with the determination from jet data alone. Corrected figures and numerical results are provided and the discussion is adapted accordingly.

Original languageEnglish
Article number738
Pages (from-to)1-14
Number of pages14
JournalEuropean Physical Journal C
Volume81
Issue number8
Early online date16 Aug 2021
DOIs
Publication statusPublished - Aug 2021

Bibliographical note

Erratum to: Determination of the strong coupling constant αs(mZ) in next-to-next-to-leading order QCD using H1 jet cross section measurements: H1 Collaboration (The European Physical Journal C, (2017), 77, 11, (791), DOI 10.1140/epjc/s10052-017-5314-7).

Funding Information:
We thank Robin Sch?rmann for performing independent re-derivations of integrated initial?final antenna functions, which have led to uncover the implementation error in the employed NNLO predictions.

Publisher Copyright:
© 2021, The Author(s).

Funding

We thank Robin Sch?rmann for performing independent re-derivations of integrated initial?final antenna functions, which have led to uncover the implementation error in the employed NNLO predictions.

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