Abstract
The calibration and reconstruction of jets critically relies on the performance of the calorimeters. Extending out to large pseudorapidities, the measurements depend on the interplay between forward calorimeters, central calorimeters, and the tracking system. The high number of additional pile-up interactions poses further complications. In CMS, these difficulties are overcome using the 'particle-flow' approach, which aims at reconstructing individually each particle in the event prior to the jet clustering. Measurements of the jet energy scale and the procedure for jet energy calibration in CMS are reviewed, which are performed with dijet, photon + jet, and Z+jet data collected in proton-proton collisions at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.6 fb−1. The effect of pile-up interactions and the state of the art mitigation techniques used in CMS as well as the main sources of uncertainty of the jet energy calibration are also presented.
Highlights
Quarks and gluons produced in high-energy processes, such as the proton-proton collisions at the CERN Large Hadron Collider (LHC), manifest as jets
Given that the jet properties are well described by the simulation, the primary jet energy corrections (JEC) factors are derived from simulated events relative to the generator jets, and only the remaining, small differences between the response in data and simulation are corrected for using data-driven methods
Summary Compact Muon Solenoid (CMS) commonly uses the particle-flow approach for jet reconstruction in order to optimally benefit from the high-resolution tracking system and electromagnetic calorimeter
Summary
This content has been downloaded from IOPscience. Please scroll down to see the full text. 2015 J. 16th International Conference on Calorimetry in High Energy Physics (CALOR 2014)
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