Moving NN triggers to level-1 at LHC rates

被引：4

作者：

Prévotet, JC

Denby, B

Garda, P

Granado, B

Kiesling, C

机构：

[1] Lab Instruments & Syst France Ile France, F-75252 Paris, France

[2] Max Planck Inst Phys & Astrophys, D-80805 Munich, Germany

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 2003年 / 502卷 / 2-3期

关键词：

triggering; neural networks; data acquisition; high energy physics;

D O I：

10.1016/S0168-9002(03)00484-4

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Although the use of neural network hardware for level 2 triggering at hadron colliders has been established for many years, there has been little investigation of neural techniques for level 1 triggers at LHC experiments. In addition, commercially available NN solutions with appropriate timing constraints do not exist. Presented here is a new FPGA-based method for implementing multilayer perceptrons with hundreds of neurons in a 25 ns pipeline structure having only 600 ns latency. Possible implementation in an LHC level 1 trigger scenario is discussed. (C) 2003 Elsevier Science B.V. All rights reserved.

引用

页码：511 / 512

页数：2

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