Speaker
I. Kisel
(UNIVERSITY OF HEIDELBERG, KIRCHHOFF INSTITUTE OF PHYSICS)
Description
Typical central Au-Au collision in the CBM experiment (GSI, Germany) will produce up
to 700 tracks in the inner tracker. Large track multiplicity together with presence
of nonhomogeneous magnetic field make reconstruction of events complicated.
A cellular automaton method is used to reconstruct tracks in the inner tracker. The
cellular automaton algorithm creates short track segments in neighboured detector
planes and links them into tracks. Being essentially local and parallel the cellular
automaton avoids exhaustive combinatorial search, even when implemented on
conventional computers. Since the cellular automaton operates with highly structured
information, the amount of data to be processed in the course of the track search is
significantly reduced. The method employs a very simple track model which leads to
utmost computational simplicity and fast algorithm.
Efficiency of track reconstruction for particles detected in at least three stations
is presented. Tracks of high momentum particles are reconstructed very well with
efficiency about 98%, while multiple scattering in detector material leads to lower
reconstruction efficiency of slow particles.
Primary author
I. Kisel
(UNIVERSITY OF HEIDELBERG, KIRCHHOFF INSTITUTE OF PHYSICS)