Speaker
Alexander Oh
(University of Manchester (GB))
Description
The online event selection is crucial to reject most of the events containing uninteresting background collisions while preserving as much as possible the interesting physical signals. The b-jet selection is part of the trigger strategy of the ATLAS experiment and a set of dedicated triggers is in place from the beginning of the 2011 data-taking period and is contributing to keep the total bandwidth to an affordable rate. The b-jets acceptance is increased and the background reduced by lowering jet transverse energy thresholds at the first trigger level and applying b-tagging techniques at the subsequent levels. Different physics channels, especially topologies containing more than one b-jet where higher rejection factors are achieved, benefit from requesting this trigger to be fired. An overview of the status-of-art of the b-jet trigger menu and the performance on real data is presented in this contribution. Data-driven techniques to extract the online b-tagging efficiency and mis-tag rate, key ingredients for all analyses relying on such triggers, are also discussed and results presented.
Primary authors
Andrea Coccaro
(Universita e INFN (IT))
Per Ola Hansson
(SLAC National Accelerator Laboratory (US))
Co-author
Alexander Oh
(University of Manchester (GB))
