NEURAL NETWORKS FOR TRIGGERING

被引：16

作者：

DENBY, B

CAMPBELL, M

BEDESCHI, F

CHRISS, N

NESTI, F

机构：

[1] UNIV MICHIGAN,ANN ARBOR,MI 48109

[2] IST NAZL FIS NUCL,SEZ PISA,PISA,ITALY

[3] UNIV CHICAGO,CHICAGO,IL 60637

[4] SCUOLA NORMALE SUPER PISA,I-56100 PISA,ITALY

来源：

IEEE TRANSACTIONS ON NUCLEAR SCIENCE | 1990年 / 37卷 / 02期

关键词：

10;

D O I：

10.1109/23.106627

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Two types of neural network beauty trigger architectures, based on identification of electrons in jets and recognition of secondary vertices, have been simulated in the environment of the Fermilab CDF experiment. The efficiencies for B's and rejection of background obtained are encouraging. If hardware tests are successful, the electron identification architecture will be tested in the 1991 run of CDF. Copyright © 1990 by The Institute of Electrical and Electronics Engineers, Inc.

引用

页码：248 / 254

页数：7