Calorimeter Jet Quality Criteria for the First CMS Collision Data

While the CMS data quality monitoring effort intends to identify and address un-physical energy deposits in the calorimeters originating, \eg, from instrumental malfunctions or noise, at the level of calorimeter towers, and hence before jet reconstruction, we anticipate scenarios for which these efforts are not completely successful: unforeseen detector effects might lead to un-physical (fake) jets, especially in first collision data. We demonstrate how these jets are extracted from non-collision data samples in order to derive a set of jet quality criteria which efficiently reject fake jets. We present the methodology to derive the efficiencies for good jets to pass such a selection from collision data dijet events so that simulated efficiencies can be calibrated to data.