<紀要論文>
核反応模型パラメータ推定法に於ける実験値共分散の効果

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概要 Evaluation of nuclear reaction cross sections needs model parameters when it is performed by means of model calculations. As concerns the calculation of optical model and Hauser-Feshbach model, they c...all for optical model parameters and level density parameters. Bayesian method is applied to detemine model parameters that yield the consistent cross sections with experimental data. The experimental data that are usable in this estimation, are neutron induced reactions {total, (n, p), (n, alpha), and (n, 2n)}. Here, some of data are presented with incomplete error information, and no correlation are found in them. Estimation of model parameters must be done with both reasonable error and covariance of experimental data. Therefore it is necessary to re-evaluate the experimental errors and make covariance matrices. The model parameters are estimated by both the original experimental errors and the re-evaluated errors.続きを見る

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登録日 2010.06.11
更新日 2020.11.17

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