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

Application of Neural Network in τ→ρVτ Polarization Analysis

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

  • An artificial neural network was built to select events in the τ→ρVτ polarization 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 Pτ=－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 Z0 resonance. The neural network training method and some details are described.
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  • References

    [1] A.Rouge,Tau decays as polarization analysis,Talk at the Workshop on Tau Physics,Orsay,France,Sep.24-27,1990.[2]K.Hagiwara et al.,Phys.Lett.B235（1990）198.[3]Foran Introduction,see,for example,P.Wasserman,Neural Computing:Theory and Practice（VanNostr and Reinhold,N.Y,1989）.[4]L.Lonnbladetal,LUTP90-8 and Nucl.Phys,B349（1991）675[5]L.Bellantoni et al.,Using Neura lNetwork with Jet Shape to Identify b Jets In e+e-Interactions,CERN-PPE/91-80.[6]Procedings of the Inter.Conf.on Computingin High Energy Physics'92,Annecy,France,CERN92-07,P639-677,and References There.[7]L3 Collaboration,B.Adeva et al.Nucl.Instr.and Meth,A289（1990）35.[8]O.Adrianietal,NuclI nstr.and Meth,A302（1991）53.[9]L3 Collaboration,B.Adeva et al,Z.Phys,C51（1991）179.[10]L3 Collaboration,B.Adeva et al,Phys.Lett.,B294（1992）466.[11]S.Jadachetal,CERN Report CERN-89-08,Vol.III,（1989）69.[12]V.Innocente,Y.F.Wang and Z.P.Zhang,Nucl.Instr.and Meth,A323（1992）647.

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

    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→ρVτ polarization 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 Pτ=－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 Z0 resonance. The neural network training method and some details are described.

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