Using a neural network approach for muon reconstruction and triggering

Details Using a neural network approach for muon reconstruction and triggering Using a neural network approach for muon reconstruction and triggering

2004-02-16

arxiv.org/abs/physics/0402070v1

Nucl.Instrum.Meth. A534 (2004) 222-227

Physics

Data Analysis, Statistics and Probability

A talk given at ACAT03, KEK, Japan, November 2003. Submitted to Nuclear Instruments and Methods in Physics Research, Section A

Scientific paper

10.1016/j.nima.2004.07.091

The extremely high rate of events that will be produced in the future Large Hadron Collider requires the triggering mechanism to take precise decisions in a few nano-seconds. We present a study which used an artificial neural network triggering algorithm and compared it to the performance of a dedicated electronic muon triggering system. Relatively simple architecture was used to solve a complicated inverse problem. A comparison with a realistic example of the ATLAS first level trigger simulation was in favour of the neural network. A similar architecture trained after the simulation of the electronics first trigger stage showed a further background rejection.

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