Chinese Physics C > 1994, Vol. 18 > Issue(9): 769-777

Application of Neural Network in τ→ρV_τPolarization Analysis

Zhang Ziping^,,
Wang Yifang

Uni. of Science cud Technology of China, Hefei 2300262 Lab.for Nuclear Science, MIT, USA3 CERN and INFN-Sezione di Napoli, Italy

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Abstract：
An artificial neural network was built to select events in the τ→ρV _τpolarization analysis at LEP/L3, much better selection efficiency has been achieved.Detailed studies show that no systematic errors or bias have been introduced by the application of neural network. A polarization of P _τ=－0.129±0.050±0.050 for this channel was obtained by using a sample of 8977 τ ⁺τ ^－pairs collected near the peak of Z ⁰resonance. The neural network training method and some details are described.

References

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Zhang Ziping and Wang Yifang. Application of Neural Network in τ→ρV _τPolarization Analysis[J]. Chinese Physics C, 1994, 18(9): 769-777.

Zhang Ziping and Wang Yifang. Application of Neural Network in τ→ρV _τPolarization Analysis[J]. Chinese Physics C, 1994, 18(9): 769-777. shu

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Received: 1900-01-01
Revised: 1900-01-01

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沈阳化工大学材料科学与工程学院沈阳 110142

Application of Neural Network in τ→ρV_τPolarization Analysis

Zhang Ziping^,
Wang Yifang

Corresponding author:Zhang Ziping,

Uni. of Science cud Technology of China, Hefei 2300262 Lab.for Nuclear Science, MIT, USA3 CERN and INFN-Sezione di Napoli, Italy

Received Date:1900-01-01
Accepted Date:1900-01-01
Available Online:1994-09-05

Abstract:An artificial neural network was built to select events in the τ→ρV_τpolarization analysis at LEP/L3, much better selection efficiency has been achieved.Detailed studies show that no systematic errors or bias have been introduced by the application of neural network. A polarization of P_τ=－0.129±0.050±0.050 for this channel was obtained by using a sample of 8977 τ⁺τ^－pairs collected near the peak of Z⁰resonance. The neural network training method and some details are described.