Differential Cross Sections and the Impact of Model Defects in Nuclear Data Evaluation
A statistically consistent method for the inclusion of the so-called model defects into Bayesian evaluation methods based on extensive modeling is presented. The method uses Gaussian processes to define a-priori probability distributions for possible model defects. The inclusion is of particular imp...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/epjconf/201611109001 |