DATA PROCESSING METHOD IN MEASURING THE MEAN-PATH OF NUCLEAR INTERACTIONS

  • The experimental data processing method of measuring the mean-free-path of nuclear interactions is discussed. Estimator formulas in several experimental conditions are obtained by using the maximum likelihood method. The result of Mente-Carlo simulation shows that in case of the experimental data with poor statistics the maximum likelihood extimate value is more accurate than the least squares fitting value geuerally used.
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  • [1] 李惕赔, “实验的数字处理”, 科学出版社, p. 12479和265.[2] 任国孝等, 高能物理和核物理, 8(1984),664.
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WU Mei and REN Guo-Xiao. DATA PROCESSING METHOD IN MEASURING THE MEAN-PATH OF NUCLEAR INTERACTIONS[J]. Chinese Physics C, 1987, 11(2): 145-149.
WU Mei and REN Guo-Xiao. DATA PROCESSING METHOD IN MEASURING THE MEAN-PATH OF NUCLEAR INTERACTIONS[J]. Chinese Physics C, 1987, 11(2): 145-149. shu
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Received: 1900-01-01
Revised: 1900-01-01
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DATA PROCESSING METHOD IN MEASURING THE MEAN-PATH OF NUCLEAR INTERACTIONS

    Corresponding author: WU Mei,

Abstract: The experimental data processing method of measuring the mean-free-path of nuclear interactions is discussed. Estimator formulas in several experimental conditions are obtained by using the maximum likelihood method. The result of Mente-Carlo simulation shows that in case of the experimental data with poor statistics the maximum likelihood extimate value is more accurate than the least squares fitting value geuerally used.

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