Neural network for mass reconstruction of resonance particle with missing energy

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Neural network for mass reconstruction of resonance particle with missing energy

更新时间：2021-02-05

- Neural network for mass reconstruction of resonance particle with missing energy
- Neural network for mass reconstruction of resonance particle with missing energy
- 核技术（英文版） 1996年7卷第2期
- 作者机构：
  
  1.Department of Modern Physics, University of Science and Technology of China, Hefei 230026
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China()
- DOI：中图分类号：
- 纸质出版日期：1996-05-01，
  
  收稿日期：1995-12-20，
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张子平. Neural network for mass reconstruction of resonance particle with missing energy[J]. 核技术（英文版）, 1996, 7(2):65-68.

Zi-Ping Zhang. Neural network for mass reconstruction of resonance particle with missing energy[J]. Nuclear Science and Techniques, 1996, 7(2):65-68.
张子平. Neural network for mass reconstruction of resonance particle with missing energy[J]. 核技术（英文版）, 1996, 7(2):65-68. DOI：

Zi-Ping Zhang. Neural network for mass reconstruction of resonance particle with missing energy[J]. Nuclear Science and Techniques, 1996, 7(2):65-68. DOI：

Neural network for mass reconstruction of resonance particle with missing energy 1 first-author Department of Modern Physics, University of Science and Technology of China, Hefei 230026 Department of Modern Physics, University of Science and Technology of China, Hefei 230026 Neural Network can be designed to reconstruct the mass of resonance particle with large missing energy. Taking the Higgs particle search through decaying channel H 0 → τ + τ - →eµx and H 0 →W + W - (ZZ)→ llvv at LHC collider ( <math> <mrow> <msqrt> <mi>s</mi> </msqrt> </mrow></math> TeV) as examples, neural network correctly reconstructs its mass with right peak position and better width than conventional method. The network also possesses the capability of suppressing background events. This kind of neural network can be widely used in new particle search and precise mass measurement of resonance particle. Neural network Mass reconstruction Resonance particles Higgs search References Bellantoni L , Conway J S , Jacobsen J E et al ., CERN-PPE/91-80 , 1991 CERN-PPE/91-80 Innoc ente V , Wang Y F , Zhang Z P . Nucl Instr and Meth , 1992 ; A323 : 647 Nucl Instr and Meth Bortolotto C , De Angelis A , Lanceri L . Nucl Instr and Meth , 1991 ; A306 : 459 Nucl Instr and Meth Lönnblad L , Peterson C , Rögnvaldsson T . Phys Lett , 1992 ; B278 : 181 Phys Lett Joswig M , Kolanoski H , Kublun S et al ., DESY 93-167 , preprint DESY 93-167 Lella L D . CERN 90-10/ECFA 90-133 , 1990 ; II : 530 CERN 90-10/ECFA 90-133 Bos K , Anselmo F , Eijk B . CERN 90-10/ECFA 90-133 : 538 CERN 90-10/ECFA 90-133 Kunszt Z , Zwirner F . CERN 90-10/ECFA 90-133 : 578 CERN 90-10/ECFA 90-133 Sjöstrand T . PYTHIA5.6 and JETSET7.3 physics and mannual, CERN-TH. 6488/92 , 1992 PYTHIA5.6 and JETSET7.3 physics and mannual, CERN-TH. 6488/92 Lönnblad L , Peterson C , Rögnvaldsson T . Nucl Phys , 1991 ; B349 : 675 Nucl Phys * The Project Supported by National Natural Science Foundation of China 1995-12-20 1996-05-01 2021-02-05 1996 Nuclear Science and Techniques 2 7

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