Speaker
Description
The design and performance of the ATLAS Inner Detector (ID) trigger
algorithms running online on the High Level Trigger (HLT) processor
farm for 13 TeV LHC collision data with high pileup are discussed.
The HLT ID tracking is a vital component in all physics signatures
in the ATLAS trigger for the precise selection of the rare or
interesting events necessary for physics analysis without
overwhelming the offline data storage in terms of both size and
rate. To cope with the high interaction rates expected in the 13
TeV LHC collisions the ID trigger was redesigned during the 2013-15
long shutdown. The performance of the ID trigger in both the 2016
and 2017 data from 13 TeV LHC collisions has been excellent and
exceeded expectations, even at the very high interaction
multiplicities observed at the end of data taking in 2017. The
detailed efficiencies and resolutions of the trigger in a wide range
of physics signatures are presented for the Run 2 data. The superb
performance of the ID trigger algorithms in these extreme pileup
conditions demonstrates how the ID tracking continues to lie at the
heart of the trigger performance to enable the ATLAS physics
program, and will continue to do so in the future.
