New techniques for jet calibration with the ATLAS detector
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Authors
Aad, G.
Abbott, B.
Abeling, K.
Abicht, N. J.
Abidi, S. H.
Aboulhorma, A.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Hoffman, A. C. A.
Issue Date
2023-08-29
Type
Journal Article
Language
Keywords
Alternative Title
Abstract
Abstract
A determination of the jet energy scale is presented using proton–proton collision data with a centre-of-mass energy of
$$\sqrt{s}=13$$
s
=
13
TeV, corresponding to an integrated luminosity of 140 fb
$$^{-1}$$
-
1
collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that combines charged-particle tracks and topo-clusters formed from energy deposits in the calorimeter cells. The anti-
$$k_\textrm{t}$$
k
t
jet algorithm with radius parameter
$$R=0.4$$
R
=
0.4
is used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the foundation for the jet calibration in Run 3. Jets are calibrated with a series of simulation-based corrections, including state-of-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better performance than the baseline calibration derived using up to 81 fb
$$^{-1}$$
-
1
of Run 2 data. The performance of these new techniques is then examined in the in situ measurements by exploiting the transverse momentum balance between a jet and a reference object. The b-quark jet energy scale using particle flow jets is measured for the first time with around 1% precision using
$$\gamma $$
γ
+jet events.
Description
Citation
The European Physical Journal C. 2023 Aug 29;83(8):761
