Identifying <i>τ</i> Hadronic Decay with Neutral Network

Chen Guoming; Chen Gang

Chinese Physics C> 1995, Vol. 19> Issue(S3) : 247-256

Identifying τ Hadronic Decay with Neutral Network

Chen Guoming ,
Chen Gang

Institute of High Energy Physics, The Chinese Academy of Sciences, Beijing, China

Abstract
HTML
Reference
Related

PDF

Abstract：
The identification of τ one-prong hadronic decay using a neural network is presented. Based on the identification, the branching ratios were measured as follows: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)%.
- collider ,
- particle identification ,
- neural network ,
- decay-branching ratio

[1]	Hisham Anwer , A. R. Abdulghany . Alpha-decay systematics and a new scaling law in heavy and superheavy nuclei. Chinese Physics C, 2026, 50(1): 014111. doi: 10.1088/1674-1137/ae0307
[2]	Wen-Chao Dai , Jie-Dong Jiang , Yin Fan , Xiao Liu , Peng-Cheng Chu , Xi-Jun Wu , Xiao-Hua Li . Systematic study of α decay half-life within cluster-formation model. Chinese Physics C, 2026, 50(1): 014103. doi: 10.1088/1674-1137/ae042c
[3]	Shaowei Lan , Qiuhua Liu , Yong Li , Shusu Shi . Energy Dependence of Elliptic Flow Ratio v₂^PP/v₂^RP in Heavy-ion Collisions Using the AMPT Model. Chinese Physics C, 2026, 50(3): 1-6.
[4]	Yuhang Gu , Songbai Chen , Jiliang Jing . Gravitational waves from equatorially eccentric extreme mass ratio inspirals around swirling-Kerr black holes. Chinese Physics C, 2026, 50(3): 1-11.
[5]	Qing-Qing Zhang , Anshul Dadwal , Xiao-Tao He . Particle-number conserving analysis of the πd_5/2 band in ^{117,119,121,123,125}Cs. Chinese Physics C, 2026, 50(3): 1-8.
[6]	Yunlu Wang , Yunlong Xiao , Pengcheng Hong , Ronggang Ping . Study of P and CP symmetries in ${ \boldsymbol\Xi^{\bf +}_{\boldsymbol c}\rightarrow \boldsymbol\Xi^-\boldsymbol\pi^+\boldsymbol\pi^+ }$ at electron-positron collider. Chinese Physics C, 2026, 50(3): 1-9.
[7]	Ri-Guang Huang , You-Cai Chen , Dong-Liang Fang . 0νββ decay nuclear matrix elements under Left-Right symmetric model from the spherical quasi-particle random phase approximation method with realistic force. Chinese Physics C, 2026, 50(1): 014113. doi: 10.1088/1674-1137/ae1196
[8]	G.R. Boroun . Non-linear corrections to the derivative of nuclear reduced cross-section at small x at a future electron-ion collider. Chinese Physics C, 2026, 50(2): 1-10.
[9]	. Search for the lepton number violation decay ω→π⁺π⁺e⁻e⁻+c.c.. Chinese Physics C, 2025, 49(10): 103002. doi: 10.1088/1674-1137/ade955
[10]	Sen Yang , Yu-Peng Zhang , Tao Zhu , Li Zhao , Yu-Xiao Liu . Constraining polymerized black holes with quasi-circular extreme mass-ratio inspirals. Chinese Physics C, 2025, 49(11): 115107. doi: 10.1088/1674-1137/adef1a
[11]	Muhammad Farhan Taseer , Subhash Singha . Impact of particle production mechanisms on pseudorapidity distribution and directed flow in Au+Au and Cu+Cu collisions at ${ \sqrt{{\boldsymbol s}_{\boldsymbol{ NN}}}}$ = 19.6 GeV using AMPT model. Chinese Physics C, 2025, 49(10): 104101. doi: 10.1088/1674-1137/ade660
[12]	Jun Li , Xiao-Jun Bi , Lin-Qing Gao , Peng-Fei Yin . Exploring axion-like particle from observation of FSRQ Ton 599 by Fermi-LAT. Chinese Physics C, 2025, 49(10): 105107. doi: 10.1088/1674-1137/ade6d2
[13]	Jin Sun , Zhi-Peng Xing , Seokhoon Yun . Revisiting axion-like particle couplings to electroweak gauge bosons. Chinese Physics C, 2025, 49(11): 113109. doi: 10.1088/1674-1137/adf321
[14]	Liuxin Zhao , Honglei Li , Zhi-Long Han , Fei Huang , Xinyi Yan . Extra charged gauge boson W′ in Alternative Left-Right Model at future muon collider. Chinese Physics C, 2025, 49(12): 123102. doi: 10.1088/1674-1137/adec51
[15]	Yang Liu , Rong Wang , Zaiba Mushtaq , Ye Tian , Xionghong He , Hao Qiu , Xurong Chen . Simulation of dark scalar particle sensitivity in η rare decay channels at HIAF. Chinese Physics C, 2025, 49(3): 034103. doi: 10.1088/1674-1137/ad9d1b
[16]	Jialei Wei , Ao Liu , Dejiang Li , Cuihong Wen . Physical parameter regression from black hole images using a multiscale adaptive neural network. Chinese Physics C, 2025, 49(12): 125105. doi: 10.1088/1674-1137/adf542
[17]	Shuang Qu , Jin-Yan Zhang , Man Bao . Nuclear mass predictions with a Bayesian neural network. Chinese Physics C, 2025, 49(10): 104106. doi: 10.1088/1674-1137/ade958
[18]	GUO Yun-Jun , HE Kang-Lin . Muon Identification Using the Efficiencies Ratio Method at BESⅡ. Chinese Physics C, 2007, 31(11): 1050-1055.
[19]	HU Xi-Duo , SHAO Ming-Zhu , LUO Shi-Yu , LIU Yong-Sheng , ZHU De-Hai . Average Field Idea and Single Particle Model for 2 Dimension Crystallization Beams(Ⅱ). Chinese Physics C, 2004, 28(2): 196-199.
[20]	WU SHI-SHU . ON NUCLEAR SINGLE-PARTICLE POTENTIALS（Ⅲ）SINGLEPARTICLE ENERGIES DETERMINED BY THE NONHERMITIAN POTENTIAL U_αβ=M_αβ（ε_β）. Chinese Physics C, 1979, 3(4): 469-483.

Access

Get Citation

Chen Guoming and Chen Gang. Identifying τ Hadronic Decay with Neutral Network[J]. Chinese Physics C, 1995, 19(S3): 247-256.

Chen Guoming and Chen Gang. Identifying τ Hadronic Decay with Neutral Network[J]. Chinese Physics C, 1995, 19(S3): 247-256. shu

RIS(for EndNote,Reference Manager,ProCite)

BibTex

Txt

Milestone

Received: 1994-06-30

Fund

Supported by the National Natural Science Foundation of China.

Article Metric

Article Views(1316)
PDF Downloads(4)
Cited by(0)

Policy on re-use

To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Identifying τ Hadronic Decay with Neutral Network

Chen Guoming
Chen Gang

Institute of High Energy Physics, The Chinese Academy of Sciences, Beijing, China

Received Date: 1994-06-30

Fund Project: Supported by the National Natural Science Foundation of China.

Abstract: The identification of τ one-prong hadronic decay using a neural network is presented. Based on the identification, the branching ratios were measured as follows: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)%.