CEB/NT-96/04
2 April 1996

 
 
 
 
 
 
 
 

FUZZY TECHNIQUES FOR PULSE DISCRIMINATION AND

TRACK RECONSTRUCTION
 
 

I.D’Antone
 
 

Istituto Nazionale di Fisica Nucleare

Via Irnerio 46, 40126 Bologna, Italy



 
 
 
 
 
 

ABSTRACT



As requested by the collaboration of the INFN experiment named FUZZY, some applications related to the particle physics experiments have been studied to apply in realistic situations a home made VLSI digital fuzzy processor. To evaluate the fuzzy logic potentiality in the pattern recognition problems, two cases are considered. In the first the fuzzy logic is applied to discriminate two particles following the classical pulse shape discrimination (PSD) technique. In the second case a simple tracking of a trajectory of a particle released in several planes of a detector has been considered. The fuzzy logic has been used to extrapolate the track parameters from different planes. It has been compared with a classical extrapolation method, the Kalman filter. The paper describes a "toy model" but it has been introduced to stimulate ulterior studies in this topic. The described approaches could be useful in trigger systems for the selection of interesting events; however, some considerations about realistic multiplicity, handling of ambiguities and so on, must be considered for a more thorough study.
 
 

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