Performance of the ATLAS Inner Detector Trigger algorithms in pp collisions at √s = 900 GeV

The ATLAS Inner Detector (ID) trigger algorithms ran online during data taking with p-p collisions at the Large Hadron Collider (LHC) in December 2009. These are preliminary results on the performance of the algorithms in collisions at centre-of-mass energy of 900GeV, including comparisons to the ATLAS offline tracking algorithms and to simulations. The ATLAS trigger performs the online event selection in three stages. The ID information is used in the second and third triggering stages, called collectively the High Level Trigger (HLT). The HLT runs software algorithms in a large farm of CPUs and is designed to reject collision events in real time, keeping the most interesting few in every thousand. Within this time, the data from interesting regions of the ID have to be accessed from central buffers through the network, unpacked, clustered and converted to the ATLAS global coordinates. Pattern recognition follows to identify the trajectories of charged particles (tracks), and finally these tracks are used in combination with other information to accept or reject events, according to whether they satisfy one or more trigger signatures. The various clients of the ID trigger information impose different constraints in the performance of the pattern recognition, in terms of efficiency and fake rate for tracks. The online performance of the ID trigger algorithms is exemplified with results from different uses of LVL2 tracks.