Track Reconstruction Performance in CMS
β Scribed by Paolo Azzurri
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 223 KB
- Volume
- 197
- Category
- Article
- ISSN
- 0920-5632
No coin nor oath required. For personal study only.
β¦ Synopsis
The expected performance of track reconstruction with LHC events using the CMS silicon tracker is presented. Track finding and fitting is accomplished with Kalman Filter techniques that achieve efficiencies above 99% on single muons with p T >1 GeV/c. Difficulties arise in the context of standard LHC events with a high density of charged particles, where the rate of fake combinatorial tracks is very large for low pT tracks, and nuclear interactions in the tracker material reduce the tracking efficiency for charged hadrons. Recent improvements with the CMS track reconstruction now allow to efficiently reconstruct charged tracks with p T down to few hundred MeV/c and as few as three crossed layers, with a very small fake fraction, by making use of an optimal rejection of fake tracks in conjunction with an iterative tracking procedure.
π SIMILAR VOLUMES
The first LHC collisions at center of mass energies of 900 GeV and 2.36 TeV were recorded by the CMS detector in December 2009. The trajectories of charged particles produced in the collsions were reconstructed using the all-silicon tracker and their momenta were measured in the 3.8T solenoidal magn
Due to the high track multiplicity in the final states expected in proton collisions at the LHC experiments, novel vertex reconstruction algorithms are required. The vertex reconstruction problem can be decomposed into a pattern recognition problem (''vertex finding'') and an estimation problem (''v