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The identification of $b$-jets, referred to as $b$-tagging, is an importantpart of many physics analyses in the ATLAS experiment at the Large HadronCollider and an accurate calibration of its performance is essential forhigh-quality physics results. This publication describes the calibration of thelight-flavour jet mistagging efficiency in a data sample of proton-protoncollision events at $\sqrt{s}=13$ TeV corresponding to an integrated luminosityof 139 fb$^{-1}$. The calibration is performed in a sample of $Z$ bosonsproduced in association with jets. Due to the low mistagging efficiency forlight-flavour jets, a method which uses modified versions of the $b$-taggingalgorithms referred to as flip taggers is used in this work. A fit to thejet-flavour-sensitive secondary-vertex mass is performed to extract the scalefactor from data, to correct the light-flavour jet mistagging efficiency inMonte Carlo simulations, while simultaneously correcting the $b$-jetefficiency. With this procedure, uncertainties coming from the modeling of jetsfrom heavy-flavour hadrons are considerably lower than in previous calibrationsof the mistagging scale factors, where they were dominant. The scale factorsobtained in this calibration are consistent with unity within uncertainties.

european physical journal. c, particles and fields

Calibration of the light-flavour jet mistagging efficiency of the  $b$-tagging algorithms with $Z$+jets events using 139 $\mathrm{fb}^{-1}$ of  ATLAS proton-proton collision data at $\sqrt{s} = 13$ TeV