Pattern Recognition of Charged Particles for the VENUS Central Drift Chamber

Abstract
We have been developing a pattern-recognition program based on a road method for the VENUS central drift chamber. A unique feature of our algorithm is that it makes use of a particular cell structure of the central drift chamber. We could, thus, construct an efficient pattern-recognition program by solving left-right ambiguities in an early stage of the track-finding processes. Using Monte-Carlo simulation for the detector response, we can now achieve for hadronic jet events at √s = 60 GeV a track-finding efficiency of 96%, which is quite stable against the noise and resolution of the drift chamber. A three-dimensional reconstruction efficiency of almost 100% has been obtained for e + e -→µ+µ- events and 92% for hadronic jet events.

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