Abstract

The jet energy scale, jet energy resolution, and their systematic uncertainties are measured for jets reconstructed with the ATLAS detector in 2012 using proton–proton data produced at a centre-of-mass energy of 8 TeV with an integrated luminosity of 20 , hbox {fb}^{-1}. Jets are reconstructed from clusters of energy depositions in the ATLAS calorimeters using the anti-k_t algorithm. A jet calibration scheme is applied in multiple steps, each addressing specific effects including mitigation of contributions from additional proton–proton collisions, loss of energy in dead material, calorimeter non-compensation, angular biases and other global jet effects. The final calibration step uses several in situ techniques and corrects for residual effects not captured by the initial calibration. These analyses measure both the jet energy scale and resolution by exploiting the transverse momentum balance in gamma + jet, Z + jet, dijet, and multijet events. A statistical combination of these measurements is performed. In the central detector region, the derived calibration has a precision better than 1% for jets with transverse momentum 150 , hbox {GeV} < p_{{mathrm {T}}}< 1500 GeV, and the relative energy resolution is (8.4pm 0.6)% for p_{{mathrm {T}}}= 100 , hbox {GeV} and (23pm 2)% for p_{{mathrm {T}}}= 20 , hbox {GeV}. The calibration scheme for jets with radius parameter R=1.0, for which jets receive a dedicated calibration of the jet mass, is also discussed.

Highlights

  • Collimated sprays of energetic hadrons, known as jets, are the dominant final-state objects of high-energy proton–proton interactions at the Large Hadron Collider (LHC) located at CERN

  • To propagate the uncertainty to RMJB, all input components are individually varied by ±1σ and the full iterative analysis procedure is repeated for each such variation

  • The uncertainty due to Monte Carlo (MC) modelling of multijet events is estimated from the symmeterized envelope of multijet balance (MJB) corrections obtained by comparing the nominal results obtained from Sherpa with those obtained from Powheg + Pythia8, Pythia8, and Herwig++

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Summary

Introduction

Collimated sprays of energetic hadrons, known as jets, are the dominant final-state objects of high-energy proton–proton ( pp) interactions at the Large Hadron Collider (LHC) located at CERN. Calorimeter jets, which are reconstructed from calorimeter energy depositions, are calibrated to the energy scale of jets created with the same jet clustering algorithm from stable interacting particles. This calibration accounts for the following effects:. 4. Section 5 describes the global sequential calibration method, which exploits information from the tracking system (including the muon chambers) and the topology of the energy depositions in the calorimeter to improve the JES uncertainties and. 6. The methods based on the pT balance between a jet and a well-calibrated photon or Z boson are discussed, while the study of the balance between a high- pT jet and a system of several low- pT jets is presented in Sect.

The ATLAS detector and data-taking conditions
Simulation of jets in the ATLAS detector
Jet reconstruction and preselection
Jet calibration
Jet origin correction
Pile-up correction
Monte Carlo-based jet calibration
Definition of the calibrated jet four momentum
Global sequential calibration
Description of the method
Jet observables sensitive to the jet calorimeter response
Derivation of the global sequential jet calibration
Jet transverse momentum resolution improvement in simulation
Flavour dependence of the jet response in simulation
Intercalibration and resolution measurement using dijet events
Determining the jet resolution using the dijet bisector method
Method for evaluating in situ systematic uncertainties
Dijet selection
Comparison of matrix and central reference methods
Comparison of data with simulation
Derivation of residual jet energy scale correction
Systematic uncertainties
Jet energy resolution determination using dijet events
The direct balance and missing projection fraction methods
Event and object selection
Photon selection
Z boson selection
Direct balance results
MPF results
Calibration of large-R jets
Pile-up uncertainty for large-R jets
Measurement of the jet energy resolution using the DB method
High- pT-jet calibration using multijet balance
Event selection
Results
Combination of absolute in situ measurements
Jet energy scale uncertainties
Pile-up uncertainties
Flavour-based uncertainties
Summary of jet energy scale uncertainties
Simplified description of uncertainty correlations
Alternative uncertainty configurations
Large-R jet uncertainties
10 Final jet energy resolution and its uncertainty
10.1 JER in simulation
10.2 Determination of the noise term in data
10.2.1 Pile-up noise measured using random cones in zero-bias data
10.2.2 Pile-up noise term measurements using the soft jet momentum method
10.2.3 Comparison of methods and construction of the noise term
10.2.4 Closure test of the pile-up noise measurement in MC simulation
10.2.5 Noise term in the no pile-up scenario
10.3 Combined in situ jet energy resolution measurement
11 Conclusions
Full Text
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