Jet Reconstruction Efficiency in CMS
Shipkowski, Simon Peter
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Jet reconstruction is vital in collider experiments as it is our link to quarks. Here CMS Monte Carlo generated data is used to evaluate calorimeter methods on uncorrected data. Jet finding algorithms are found to be more than sufficient when generator jet position is compared to the calorimeter jets. The soft radiation resilience of the anti-kT algorithm justifies the current popularity and its use in this analysis. Dijet events are examined due to their trivial kinematic conservation and relative abundance at CMS. Kinematic properties both direct and calculated are extracted from the data for a thorough understanding of dijet event properties. Jet reconstruction efficiency is examined as a function of transverse momentum and pseudo-rapidity. As expected, reconstruction efficiency increases with increasing transverse momentum, reaching close to 95% efficiency above 35GeV transverse momentum. Jet identification efficiency as a function of transverse momentum and pseudo-rapidity is examined. Special jet identification variables show high efficiency even in the low energy extreme with loose cuts. The tight cuts illuminate underlying physics, despite the loss of efficiency. Bayesian error estimation is applied to the above efficiency measurements.