Dresden 2013 – scientific programme
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T: Fachverband Teilchenphysik
T 26: QCD 1
T 26.8: Talk
Monday, March 4, 2013, 12:45–13:00, GER-037
Data-driven pile-up correction for track-based analyses — •Holger Schulz1, Heiko Lacker1, Gerhard Brandt2, and Michael Leyton1 — 1HU Berlin — 2University of Oxford
The impact of pile-up can have considerable effects on observables measured at the LHC, especially those sensitive to the effects of the underlying event. We present a data-driven method that is based on the HBOM ("Hit Backspace Once More") approach, to correct track-based distributions for tracks coming from pile-up interactions. We demonstrate successful application to a track-based measurement of event-shapes that are sensitive to the Underlying Event with the ATLAS detector. Tests of the method on Monte-Carlo simulation show closure within O(1−2 %) for the majority of bins of most observables studied.