Application of neural microprocessors to high-energy physics experiments

Author

Baldanza, C. ; Bisi, F. ; Cotta-Ramusino, A. ; Antone, I.D. ; Malferrari, L. ; Mazzanti, P. ; Odorici, F. ; Odorico, R. ; Zuffa, M. ; Bruschini, C. ; Musico, P. ; Novelli, P. ; Passaseo, M.

Author_Institution

Istituto Nazionale di Fisica Nucl., Bologna, Italy

Volume

6

fYear

1994

fDate

27 Jun- 2 Jul 1994

Firstpage

3790

Abstract

A neural trigger module for high-energy physics experiments has been realized. It employs the analog neural microprocessor ETANN by Intel and the 16-bit digital microprocessor MA16 by Siemens. With suitable I/O interfacing it has operated in the experiment WA92 at CERN, looking for beauty particles produced by a negative pion beam on a copper target, where it is used to accept events for recording on a special data stream to be analyzed with high priority. The response times of both the ETANN and the MA16 parts of the neural trigger, which act independently, are less than 10 microseconds. Results for the ETANN trigger are presented

Keywords

beauty particles; high energy physics instrumentation computing; neural chips; trigger circuits; 16-bit digital microprocessor MA16; CERN; ETANN; Intel; Siemens; data stream; experiment WA92; high-energy physics experiments; negative pion beam; neural microprocessors; neural trigger module; Business continuity; Delay; Detectors; Event detection; Neural microtechnology; Neural network hardware; Neural networks; Particle beams; Physics; Time of arrival estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374814

Filename

374814