中国物理B ›› 2004, Vol. 13 ›› Issue (4): 428-433.doi: 10.1088/1009-1963/13/4/002

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A new method to avoid PPP in data evaluation

陈振鹏, 孙业英   

  1. Tsinghua University, Beijing 100084, China
  • 收稿日期:2003-05-30 修回日期:2003-10-13 出版日期:2004-04-22 发布日期:2004-04-20
  • 基金资助:
    Project supported by the International Atomic Energy Agency (Grant No CPR-12022/R0) and the National Nuclear Data Program (Grant No y416010502).

A new method to avoid PPP in data evaluation

Chen Zhen-Peng (陈振鹏), Sun Ye-Ying (孙业英)   

  1. Tsinghua University, Beijing 100084, China
  • Received:2003-05-30 Revised:2003-10-13 Online:2004-04-22 Published:2004-04-20
  • Supported by:
    Project supported by the International Atomic Energy Agency (Grant No CPR-12022/R0) and the National Nuclear Data Program (Grant No y416010502).

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摘要： The Peelle Pertinent Puzzle (PPP) has been studied systematically. The results obtained by using several proposed methods to deal with a sample of {}^6Li(n, t) are compared with each other. The cause of PPP occurrence has been found. A new method to avoid PPP is introduced, whose main idea is ‘to selectively make suitable correction for systematic error according to the relative extent of discrepancy'. The method is able to produce the best result and should be used to avoid the PPP at first.

关键词: general least squares, PPP, data evaluation

Abstract: The Peelle Pertinent Puzzle (PPP) has been studied systematically. The results obtained by using several proposed methods to deal with a sample of $^6$Li($n, t$) are compared with each other. The cause of PPP occurrence has been found. A new method to avoid PPP is introduced, whose main idea is ‘to selectively make suitable correction for systematic error according to the relative extent of discrepancy'. The method is able to produce the best result and should be used to avoid the PPP at first.

Key words: general least squares, PPP, data evaluation

中图分类号:  (6 ≤ A ≤ 19)

  • 27.20.+n
02.50.-r (Probability theory, stochastic processes, and statistics) 25.40.-h (Nucleon-induced reactions)