Abstract
Jet reconstruction and calibration in the CMS experiment are complicated by the nonlinear response of the calorimeters and high pileup conditions. These difficulties are mitigated at CMS by utilising the particle flow approach. The jet energy calibration from data is summarized. It is performed with data samples collected in proton-proton collisions at a centre-of-mass energy of 8 TeV corresponding to an integrated luminosity of 11 fb−1. The final jet energy calibration is derived with dijet, γ+jet and Z+jet events. Here, we focus on the estimation of the inter-η-calibration using dijet events and discuss the uncertainties on the jet energy corrections.
Highlights
Jets are a main signature in standard model and beyond standard model physics
There is a difference between generator jet energy and reconstructed jet energy in simulation resulting from detector simulation effects like nonlinear calorimeter response, inactive material interactions and physical effects like neutrinos produced in the jet
On simulated and data events, a loose jet identification entailing quality criteria on the jets is required for both leading jets in pT. One of these jets needs to be in the central detector region |η| 2.7 to enrich QCD dijet events
Summary
Jets are a main signature in standard model and beyond standard model physics. In CMS, jets are clustered from particle flow (PF) [1] objects with the anti-kt [2] sequential recombination algorithm at a clustering radius of 0.5. There are residual differences in jet energy between simulation and data. These residual differences may be caused by time dependent detector response, due to e.g. radiation damage or jet energy resolution effects.
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