Speaker
Shahram Rahatlou
(Sapienza University of Rome & INFN)
Description
We present a model independent analysis approach, systematically scanning the data for deviations from the Standard Model Monte Carlo expectation. Such an analysis can contribute to the understanding of the CMS detector and the tuning of event generators. Furthermore, this approach is sensitive to a variety of models of new physics, including those not yet thought of. Events are classified into event classes according to their particle content (muons, electrons, photons, jets and missing transverse energy). A scan of various distributions is performed, identifying significant deviations from the Monte Carlo simulation. Systematic uncertainties are taken into account rigorously within the algorithm. Possible detector effects and generator issues, as well as models involving supersymmetry and new heavy gauge bosons have been used to test the search algorithm.
Primary author
Boleslaw Wyslouch
(MIT)
