Identifying Tau Hadronic Decay with Neural Network

  • The identification of tau one prong hadronic decay using neural network is presented.Based on the identification,we measured the branching ratios: Br(π/Kv)=(12.18±0.26±0.42)%,Br(π/Kπ0v)=(25.20±0.35±0.50)%,Br(π/K2π0v)=(8.88±0.37±0.38)%,Br(π/K3π0v)=(1.70±0.24±0.39)%.
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  • [1] M.Perl.et al,Phys.Rev.Lett,35(1975)1489.[2] W.Marciano,Second Workshop on τ physics,1992.[3] B.Adevaetal,L3 Nucl.Instr and Meth.,A289(1990)35.[4] S.Jadach,B.Ward,Z.Was,Comp Phys.Comm.66(1991)276.[5] R.Brun,et al,GEANT 3 Users'Guide,CERNDD/EE/84-1.[6] P.Wasserman,Neural Computing:Theory and Practice Van Nostrand Reinhold,N.Y,1989.[7] Mariond Conference,France,March,1994.
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Chen Guoming and Chen Gang. Identifying Tau Hadronic Decay with Neural Network[J]. Chinese Physics C, 1995, 19(8): 692-702.
Chen Guoming and Chen Gang. Identifying Tau Hadronic Decay with Neural Network[J]. Chinese Physics C, 1995, 19(8): 692-702. shu
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Received: 1900-01-01
Revised: 1900-01-01
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Identifying Tau Hadronic Decay with Neural Network

    Corresponding author: Chen Guoming,
  • The Institute of High Energy Physics,The Chinese Academy of Sciences,Beijing 100039

Abstract: The identification of tau one prong hadronic decay using neural network is presented.Based on the identification,we measured the branching ratios: Br(π/Kv)=(12.18±0.26±0.42)%,Br(π/Kπ0v)=(25.20±0.35±0.50)%,Br(π/K2π0v)=(8.88±0.37±0.38)%,Br(π/K3π0v)=(1.70±0.24±0.39)%.

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