The results of polynomial and rational least squares fits for the 6Li(n,t) reaction cross-section

The results of polynomial and rational approximation for the 6Li(n,t) reaction cross-section are presented.The polynomial least squares fits fail because of the Peelle's Puzzle effects. A comparison between model and 'non-model' least squares fits is carried out. The rational approximants agree with the R-matrix model calculations with the RAC code. The 'non-model' fit (GMA code) is systematically lower the RAC curve, rational approximant and the main bulk of the experimental data. The bias is also caused by the Peelle's Puzzle effects. A validity and performance of 'generalized measure of uncertainty' is studied. In considered cases generalized measures of uncertainty calculated for model and 'non-model' least squares fits are in good agreement. Together with other statistical criteria (as determinant of covariance matrix) the generalized measure of uncertainty can be used for analysis of the quality of the evaluations