Speaker
Kenji Hamano
(University of Melbourne (AU))
Description
The track and vertex reconstruction algorithms of the ATLAS Inner Detector have
demonstrated excellent performance in the early data from the LHC. However, the
rapidly increasing number of interactions per bunch crossing introduces new
challenges both in computational aspects and physics performance. The combination
of both silicon and gas based detectors provides high precision impact parameter and
momentum measurement of charged particles, with high efficiency and small fake
rate. Vertex reconstruction is used to identify with high efficiency the hard scattering
process and to measure the amount of pile-up interactions, both aspects are crucial
for many physics analyses. The performance of track and vertex reconstruction
efficiency and resolution achieved in the 2011 data-taking period and
for the 2012 data-taking, where improved algorithms will be used, are presented.
Author
Kenji Hamano
(University of Melbourne (AU))
