| Belle实验中神经元网络和Fisher判别方法应用于压制连续过程本底的比较 |
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| 引用本文： | 刘超,张子平.Belle实验中神经元网络和Fisher判别方法应用于压制连续过程本底的比较[J].中国科学技术大学学报,2011,41(1). |
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| 作者姓名： | 刘超 张子平 |
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| 作者单位： | 中国科学技术大学近代物理系,安徽合肥,230026 |
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| 基金项目： | Supported by NSFC(10935008,10875115); the Doctoral Program of Chinese Education Ministry(20070358060) |
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| 摘 要： | 在Belle实验B±→K±ω道的物理分析中,对神经元网络法和Fisher判别法在压制连续过程本底应用中的性能进行了比较研究.应用神经元网络法可以获得对BB信号事例42.3%的选择效率和99.2%的连续过程本底排除水平;应用Fisher判别法可以获得57.9%的信号事例选择效率和98.6%的连续过程本底排除水平.
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| 关 键 词： | 神经元网络法 Fisher判别法 Belle实验 B介子衰变 |
Comparison between neural networks and Fisher discriminant for continuum background suppression at Belle |
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| LIU Chao,ZHANG Ziping.Comparison between neural networks and Fisher discriminant for continuum background suppression at Belle[J].Journal of University of Science and Technology of China,2011,41(1). |
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| Authors: | LIU Chao ZHANG Ziping |
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| Institution: | LIU Chao,ZHANG Ziping (Department of Modern Physics,University of Science and Technology of China,Hefei 230026,China) |
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| Abstract: | The neural networks method and Fisher discriminant method for continuum background suppression were applied to the analysis of B±→K±ωφ decay respectively.A comparison was conducted of the effects of the two methods.With neural network,42.3% of the B(B)events can be preserved while 99.2% of continuum background is rejected.With Fisher discriminant,57.9% of the signal can be preserved while 98.6% of the continuum background is rejected. |
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| Keywords: | neural networks Fisher discriminant Belle B-meson decay |
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