https://orcid.org/0000-0002-6644-4398
Figures & data
Figure 1. Illustration of (a) the ridge and (b) lasso regressions. R. Katano: Estimation of sensitivity coefficient based on lasso-type penalized linear regression.
Table 1. Isotopic composition of actinides in the MA core region
Figure 2. Two-dimensional R–Z geometry for ADS initial core. R. Katano: Estimation of sensitivity coefficient based on lasso-type penalized linear regression.
Table 2. Index of the microscopic cross-section of first energy group
Table 3. The values of tuning parameters used for sensitivity coefficients estimation
Figure 3. Relative sensitivity coefficients of keff of ADS initial core with 750 samples. (Results by direct method, lasso, smooth-lasso, and adaptive smooth-lasso from top to bottom.) R. Katano: Estimation of sensitivity coefficient based on lasso-type penalized linear regression.
Figure 4. Relative sensitivity coefficients of keff to the fission cross-section of Pu-239 with 750 samples. R. Katano: Estimation of sensitivity coefficient based on lasso-type penalized linear regression.
Figure 5. The number of samples versus relative difference norm of relative sensitivity of keff of ADS initial core. R. Katano: Estimation of sensitivity coefficient based on lasso-type penalized linear regression.
Figure 6. Comparison of relative sensitivity coefficients of keff of ADS initial core. The number of samples is 750. R. Katano: Estimation of sensitivity coefficient based on lasso-type penalized linear regression.
