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Statistics and physics combined (n, alpha) reaction cross section experimental data evaluation method

A technology of experimental data and reaction cross-section, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problems of not paying attention to Simpson's paradox and its solutions, and achieve the effect of improving efficiency

Pending Publication Date: 2022-03-11
CHINA INSTITUTE OF ATOMIC ENERGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In the field of nuclear data evaluation, there is no report on Simpson's paradox and its solution

Method used

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  • Statistics and physics combined (n, alpha) reaction cross section experimental data evaluation method
  • Statistics and physics combined (n, alpha) reaction cross section experimental data evaluation method
  • Statistics and physics combined (n, alpha) reaction cross section experimental data evaluation method

Examples

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Effect test

Embodiment 1

[0107] Embodiment one: 51 V(n,α) 48 Sc Reaction Cross Section

[0108] Retrieved from the EXFOR library 51 V(n,α)48 The experimental data of 42 Sc reaction cross-sections, the annual span is 1953-2020, and the energy range covers 2.96-29.1MeV. Figure 15 Given all the experimental data, it can be seen that the experimental data are rich and have some differences. The experimental methods are the activation method to measure the experimental data.

[0109] Figure 16 After the first round of detector screening recommendations are given, only 20 experimental data measured by germanium-containing detectors are selected. It can be seen that the consistency of the data has improved significantly.

[0110] 51 V(n,α) 48 The experimental purpose of all the measured data of the Sc reaction section is the measurement of this section, and there is no abnormal data that does not conform to the shape of the systematic curve. Therefore, we further screened and recommended detectors,...

Embodiment 2

[0111] Embodiment two: 54 Cr(n,α) 51 Ti reaction cross section

[0112] Retrieved from the EXFOR library 54 Cr(n,α) 51 There are 14 Ti reaction cross-section experimental data, the annual span is 1967-2003, and the energy range covers 14.0-20.24MeV. Figure 18 Given all the experimental data, there is no experimental measurement between the threshold energy and 14MeV, but in the energy region above 14MeV, the experimental data is more abundant, and the differences are more obvious. The experimental method is the activation method.

[0113] We first use the detector efficiency pair 54 Cr(n,α) 51 Ti reaction cross-sectional experimental data for the first round of screening recommendations. The energy areas of the experimental data are relatively concentrated, and the data center values ​​are quite different. There are 12 experimental data measured by GE detectors, we select 6 experimental data using HPGE detectors, and other experimental data using SCIN, NAICR, GE-IN an...

Embodiment 3

[0115] Embodiment three: 55 Mn(n,α) 52 V Reaction Section

[0116] Retrieved from the EXFOR library 55 Mn(n,α) 52 There are 24 V-reaction cross-section experimental data, the annual span is 1953-2016, the energy range covers 2.96-20.313MeV, and the experimental method is mainly the activation method. Figure 21 Given all the experimental data, it can be seen that the experimental data are rich and have obvious differences.

[0117] Figure 22 Given the experimental data of 10 companies using germanium-containing detectors, it can be seen that the consistency of the data obtained after the first round of detector level screening and recommendation has improved significantly.

[0118] Figure 23 Given the experimental data of 6 companies using high-purity germanium detectors, it can be seen that the consistency of the experimental data has further improved. The data of the European activation library EAF-2010 is also given in the figure as a comparison.

[0119] After tw...

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Abstract

The invention relates to a statistical and physical combined (n, alpha) reaction cross section experimental data evaluation method, which belongs to the technical field of nuclear data evaluation, and comprises the following steps: investigating and collecting the related information of the existing (n, alpha) reaction cross section experimental data, determining the experimental method of the experimental data, and carrying out mathematical and physical analysis on the experimental data to obtain the experimental data of the (n, alpha) reaction cross section. The distribution rule of experimental data is known, and hidden variables are found; performing classified analysis and evaluation on the experimental data according to the implicit variables to obtain an experimental data evaluation result; and on the basis, a recommended excitation function is obtained by means of mathematical fitting and the like. According to the method, hidden variables influencing data accuracy in Simpson paradox are found from the two aspects of mathematics and physics, the PPP problem can be effectively avoided from the perspective of experimental data evaluation, and the accuracy of evaluation data and the efficiency of evaluation work are effectively improved.

Description

technical field [0001] The invention belongs to the technical field of nuclear data evaluation, and specifically relates to a (n, α) reaction section experimental data evaluation method combining statistics and physics. Background technique [0002] Neutron-induced light charged particle exit nuclear reaction, referred to as (n,lcp) reaction (wherein lcp is the abbreviation of lightcharged particle, including p, d, t, 3 He, α particles, etc.), some literature also called (n, x) reaction or (n, cp) reaction. The study of (n,lcp) reaction plays an important role in perfecting the standard cross-section of neutron nuclear reaction, neutron detection and protection, nuclear engineering application, electronics safety, nuclear medicine development, nuclear astrophysics research, close combination of nuclear reaction experimental measurement evaluation and theoretical analysis, etc. aspects are important. The neutron-induced helium production cross section ((n,α) reaction cross ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F16/2457
CPCG06Q10/06393G06F16/2457
Inventor 张玥阮锡超朱传新江历阳李霞兰长林于伟翔郑云续瑞瑞葛智刚李春娟姚顺和于保生刘廷进陈国长黄小龙王记民吴海成陶曦王友宝张英逊陈红涛张奇玮聂阳波栾广源
Owner CHINA INSTITUTE OF ATOMIC ENERGY
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