Abstract
The ATLAS experiment has achieved a very high precision on jet and missing transverse energy performance by the use of advanced calorimeter-based topological clustering and local cluster calibration, event-by-event pile-up subtraction methods, and in situ techniques to correct for the residual jet energy response difference between data and simulation. Tracking information is being combined with calorimeter to further improve the jet and missing transverse energy performance. ATLAS has also commissioned several new powerful tools for the analysis and interpretation of hadronic final states at the LHC such as jet substructure, jet mass, quark-gluon discrimination, and jet tagging tools for the identification of boosted heavy particles. An overview of the reconstruction, calibration, and performance of jets, missing transverse energy, jet substructure, and jet tagging at ATLAS is presented.
Highlights
1 finding and calibration of topological calorimeter clusters, 2 jet clustering of topo-clusters, 3 correction for pile-up, 4 calibration of the jet pseudorapidity and energy - Jet Energy Scale (JES), 5 residual calibration using in situ measurements
Step 5: Residual in situ calibration applied to Data only, jet pT correction: multiplication by the response ratio of the MC to the Data: ResponseMC = pjTet/prTef MC
Response pjTet/prTef obtained from transverse momentum balance between jet and a reference object
Summary
Jets and ETmiss at the ATLAS experiment jet reconstruction and calibration jets - key ingredients of many Standard Model measurements and New Physics searches, jet energy scale uncertainty - main contribution to the systematic uncertainty of many physics results, jet substructure and jet tagging identification of hadronically decaying boosted objects, quark- and gluon-initiated jet discrimination, missing transverse energy (ETmiss) important signature for many physics processes
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