Abstract
The performance of the reconstruction and calibration of the jet energy scale and missing transverse energy scale with the ATLAS detector at the LHC is a key component to realize the ATLAS full physics potential, both in the searches for new physics and in precision measurements. New algorithms used for the reconstruction and calibration of jets and missing energy with the ATLAS detector during LHC Run-2 are presented. Measurements of the performance and uncertainties are derived from data. The results from the 2016 pp collision data set at √s = 13 TeV are reported.
Highlights
Collimated sprays of hadrons are the dominant physics objects arising in LHC collisions
Jets are playing a key role in many Standard Model (SM) physics analyses and searches of new phenomena, e.g. ATLAS jets measurements provide a valuable test of QCD in the multi-TeV regime
The soft term in ATLAS is built from tracks not associated to any reconstructed hard object → Track Soft Term (TST) ETmiss
Summary
Collimated sprays of hadrons are the dominant physics objects arising in LHC collisions. ATLAS jet and missing energy reconstruction, calibration and performance in LHC Run-2 Jets are playing a key role in many Standard Model (SM) physics analyses and searches of new phenomena, e.g. ATLAS jets measurements provide a valuable test of QCD in the multi-TeV regime Jets are reconstructed in ATLAS with the anti-kt jet algorithm, taking topologically connected calorimeter cells, called clusters, as the input, exploiting its main advantage of effective noise suppression.
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