Applying fuzzy techniques to particle detectors

Author

Russo, G.V. ; Presti, Lo ; Panebanco, S. ; Petta, C. ; Randazzo, N. ; Reito, S. ; Caligiore, C. ; Russo, Mario ; Masetti, M. ; Gandolfi, E. ; Gabrielli, A.

Author_Institution

Dipt. di Fisica, Catania Univ., Italy

Volume

1

fYear

1997

fDate

27-23 May 1997

Firstpage

224

Abstract

A smart solution concerning the front end and the readout of a Silicon Drift Chamber is proposed. Online data processing will produce a significant decrease in the amount of transmitted data without also losing essential information. A processor that exploits fuzzy logic plays a central role. It is capable of computing, with reasonable precision, the position of the tracks and the total charge released inside the detector

Keywords

data compression; fuzzy logic; high energy physics instrumentation computing; particle detectors; Silicon Drift Chamber; Silicon Drift Detector; essential information; fuzzy logic; fuzzy techniques; high energy physics; online data processing; particle detectors; smart solution; total charge; Anodes; Data processing; Decoding; Electromagnetic compatibility; Fuzzy logic; Large Hadron Collider; Mirrors; Radiation detectors; Silicon; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3755-7

Type

conf

DOI

10.1109/KES.1997.616912

Filename

616912