Chinese Physics C > 2004, Vol. 28 > Issue(1): 42-47

Covariance Propagation in R-Matrix Model Fitting

Department of Physics,Tsinghua University,Beijing 100084,China2 China Nuclear Data Center,Beijing 102413,China

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Abstract：
This work is done for improving the current international standard cross section of nuclear reaction. The features of covariance propagation in R-matrix model fitting for ⁷Li, ¹¹B and ¹⁶O systems are researched systematically with Code RAC, and the results about propagation of non-diagonal elements of covariance matrix are presented. It is found that in R-matrix model fitting, short-energy-range parameters result in relatively smaller covariance propagation coefficient (CPC), medium and long-energy-range parameters produce relatively larger CPC. Especially the medium-energy-range component of systematic error plays very important role in propagation of covariance. In the evaluation procedure of nuclear data both long-energy-range component (LERC) and medium-energy-range component (MERC) of systematic error should be considered in experimental data-base file. Furthermore, these conclusions are suitable for the similar model fitting in other science fields.

References

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CHEN Zhen-Peng, SUN Ye-Ying, ZHANG Rui and LIU Ting-Jin. Covariance Propagation in R-Matrix Model Fitting[J]. Chinese Physics C, 2004, 28(1): 42-47.

CHEN Zhen-Peng, SUN Ye-Ying, ZHANG Rui and LIU Ting-Jin. Covariance Propagation in R-Matrix Model Fitting[J]. Chinese Physics C, 2004, 28(1): 42-47. shu

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Received: 2003-05-26
Revised: 1900-01-01

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沈阳化工大学材料科学与工程学院沈阳 110142

Covariance Propagation in R-Matrix Model Fitting

Corresponding author:CHEN Zhen-Peng,

Department of Physics,Tsinghua University,Beijing 100084,China2 China Nuclear Data Center,Beijing 102413,China

Received Date:2003-05-26
Accepted Date:1900-01-01
Available Online:2004-01-05

Abstract:This work is done for improving the current international standard cross section of nuclear reaction. The features of covariance propagation in R-matrix model fitting for⁷Li,¹¹B and¹⁶O systems are researched systematically with Code RAC, and the results about propagation of non-diagonal elements of covariance matrix are presented. It is found that in R-matrix model fitting, short-energy-range parameters result in relatively smaller covariance propagation coefficient (CPC), medium and long-energy-range parameters produce relatively larger CPC. Especially the medium-energy-range component of systematic error plays very important role in propagation of covariance. In the evaluation procedure of nuclear data both long-energy-range component (LERC) and medium-energy-range component (MERC) of systematic error should be considered in experimental data-base file. Furthermore, these conclusions are suitable for the similar model fitting in other science fields.