Performance of Jet Algorithms in CMS

The CMS Combined Software and Analysis Challenge 2007 (CSA07) is well underway and expected to produce a wealth of physics analyses to be applied to the first incoming detector data in 2008. The JetMET group of CMS supports four different jet clustering algorithms for the CSA07 Monte Carlo samples, with two different parameterizations each: Fast kT, SISCone, MidPoint Cone, and Iterative Cone. We present several studies comparing the performance of these algorithms using QCD dijet andt t Monte Carlo samples. We specifically observe that the SISCone algorithm performs equal to or better than the Midpoint Cone algorithm in all presented studies and propose that SISCone be adopted