Abstract

Jet energy scale measurements and their systematic uncertainties are reported for jets measured with the ATLAS detector using proton-proton collision data with a center-of-mass energy of $\sqrt{s} = 13$ TeV, corresponding to an integrated luminosity of 3.2 fb$^{-1}$ collected during 2015 at the LHC. Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells, using the anti-$k_{t}$ algorithm with radius parameter $R = 0.4$. Jets are calibrated with a series of simulation-based corrections and in situ techniques. In situ techniques exploit the transverse momentum balance between a jet and a reference object such as a photon, $Z$ boson, or multijet system for jets with $20 < p_{T} < 2000$ GeV and pseudorapidities of $|\eta|<4.5$, using both data and simulation. An uncertainty in the jet energy scale of less than 1% is found in the central calorimeter region ($|\eta| < 1.2$) for jets with $100 < p_{T} < 500$ GeV. An uncertainty of about 4.5% is found for low-$p_{T}$ jets with $p_{T} = 20$ GeV in the central region, dominated by uncertainties in the corrections for multiple proton-proton interactions. The calibration of forward jets ($|\eta| > 0.8$) is derived from dijet $p_{T}$ balance measurements. For jets of $p_{T} = 80$ GeV, the additional uncertainty for the forward jet calibration reaches its largest value of about 2% in the range $|\eta| > 3.5$ and in a narrow slice of $2.2 < |\eta| < 2.4$.

Highlights

  • Jets are a prevalent feature of the final state in highenergy proton-proton interactions at CERN’s Large Hadron Collider (LHC)

  • Compact electromagnetic energy deposits triggered at level 1 (L1) are used as the seeds for the high-level trigger (HLT) algorithms, which are designed to identify electrons based on calorimeter and fast track reconstruction

  • Slight differences with data have a negligible impact on the global sequential calibration (GSC) as long as the dependence of the average jet response on the observables is well modeled in Monte Carlo (MC) simulation

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Summary

INTRODUCTION

Jets are a prevalent feature of the final state in highenergy proton-proton (pp) interactions at CERN’s Large Hadron Collider (LHC). Made of collimated showers of hadrons, are important elements in many Standard Model (SM) measurements and in searches for new phenomena. They are reconstructed using a clustering algorithm run on a set of input four-vectors, typically obtained from topologically associated energy deposits, charged-particle tracks, or simulated particles. This paper details the methods used to calibrate the fourmomenta of jets in Monte Carlo (MC) simulation and in data collected bpyffiffithe ATLAS detector [1,2] at a center-of-mass energy of s 1⁄4 13 TeV during the 2015 data-taking period of Run 2 at the LHC. The jet energy scale (JES) calibration consists of several consecutive stages derived from a combination of MC-based methods and in situ techniques.

THE ATLAS DETECTOR
JET RECONSTRUCTION
DATA AND MONTE CARLO SIMULATION
JET ENERGY SCALE CALIBRATION
Pile-up corrections
Jet energy scale and η calibration
Global sequential calibration
In situ calibration methods
Multijet balance
In situ combination
SYSTEMATIC UNCERTAINTIES
Findings
CONCLUSIONS
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