1 research outputs found
b tagging in ATLAS and CMS
Many physics signals presently studied at the high energy collision
experiments lead to final states with jets originating from heavy flavor
quarks. This report reviews the algorithms for heavy flavor jets identification
developed by the ATLAS and CMS Collaborations in view of the Run2 data taking
period at the Large Hadron Collider. The improvements of the algorithms used in
2015 and 2016 data analyses with respect to previous data taking periods are
discussed, as well as the ongoing developments in view of the next years of
data taking. The measurements of the performance of the algorithms on data as
well as the dedicated techniques for the identification of heavy flavor jets in
events with boosted topologies are also presented. Finally, the effectiveness
of heavy flavor jet identification in the complex environment expected during
the high luminosity LHC phase is discussed.Comment: 6 pages, Proceeding for the Fifth Annual Large Hadron Collider
Physics (LHCP2017) conferenc