Particle Identification using Artificial Neural Networks at BESIII

doi:10.1088/1674-1137/32/1/001

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《中国物理C》（英文）编辑部

2024年10月30日

Chinese Physics C> 2008, Vol. 32> Issue(1) : 1-8 DOI: 10.1088/1674-1137/32/1/001

Particle Identification using Artificial Neural Networks at BESIII

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Abstract：
A multilayered perceptrons neural network technique has been applied in the particle identification at BESIII. The networks are trained in each sub-detector level. The NN output of sub-detectors can be sent to a sequential network or be constructed as PDFs for a likelihood. Good muon-ID, electron-ID and hadron-ID are obtained from the networks by using the simulated Monte Carlo samples.

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Particle Identification using Artificial Neural Networks at BESIII[J]. Chinese Physics C, 2008, 32(1): 1-8. doi: 10.1088/1674-1137/32/1/001

Particle Identification using Artificial Neural Networks at BESIII[J]. Chinese Physics C, 2008, 32(1): 1-8. doi: 10.1088/1674-1137/32/1/001 shu

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Received: 2007-02-14
Revised: 2007-03-07

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沈阳化工大学材料科学与工程学院沈阳 110142

Particle Identification using Artificial Neural Networks at BESIII

Corresponding author: ,

Received Date: 2007-02-14
Accepted Date: 2007-03-07
Available Online: 2008-01-05

Abstract: A multilayered perceptrons neural network technique has been applied in the particle identification at BESIII. The networks are trained in each sub-detector level. The NN output of sub-detectors can be sent to a sequential network or be constructed as PDFs for a likelihood. Good muon-ID, electron-ID and hadron-ID are obtained from the networks by using the simulated Monte Carlo samples.