Indisponibilité programmée / Scheduled outage
2-7 May 2010
Oustau Calendal Conference Center
Europe/Paris timezone
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Particle identification with a track fit chi-square

6 May 2010, 17:30
Oustau Calendal Conference Center

Oustau Calendal Conference Center

Cassis, France
Oral presentation Pattern recognition and data analysis Pattern recognition and data analysis


Dr Ferenc Sikler (KFKI Research Institute for Particle and Nuclear Physics)


Tracker detectors can be used to identify charged particles based on their global chi value obtained during track fitting with the Kalman filter. The proposed method is independent of the traditional way of identification using deposited energy. This approach builds upon the knowledge of detector material and local position resolution, using the known physics of multiple scattering and energy loss. The study using simplified models of present LHC experiments shows that pion-kaon and pion-proton unfolding is possible at low momentum. The separation is better than 1 sigma for p < 0.9 and 1.4 GeV/c, respectively. Since the chi value of the filter is equivalent to that of a global fit, the method is suitable for any minimum chi^2 track fit that properly models energy-loss and scattering effects. In general, the performance of an experiment is determined by the number of good sensitivity split measurements, and it is also a strong function of particle momentum. See recent preprint at [physics.ins-det], submitted to Nucl Inst Meth A.
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Primary author

Dr Ferenc Sikler (KFKI Research Institute for Particle and Nuclear Physics)

Presentation Materials