```
Hart, Shane W. D., and Maldonado, G. Ivan.
```*Implementation of the direct S(α,β) method in the KENO Monte Carlo code*. United States: N. p., 2016.
Web. doi:10.1016/j.anucene.2016.11.019.

```
Hart, Shane W. D., & Maldonado, G. Ivan.
```*Implementation of the direct S(α,β) method in the KENO Monte Carlo code*. United States. doi:10.1016/j.anucene.2016.11.019.

```
Hart, Shane W. D., and Maldonado, G. Ivan. 2016.
"Implementation of the direct S(α,β) method in the KENO Monte Carlo code". United States.
doi:10.1016/j.anucene.2016.11.019. https://www.osti.gov/servlets/purl/1335339.
```

```
@article{osti_1335339,
```

title = {Implementation of the direct S(α,β) method in the KENO Monte Carlo code},

author = {Hart, Shane W. D. and Maldonado, G. Ivan},

abstractNote = {The Monte Carlo code KENO contains thermal scattering data for a wide variety of thermal moderators. These data are processed from Evaluated Nuclear Data Files (ENDF) by AMPX and stored as double differential probability distribution functions. The method examined in this study uses S(α,β) probability distribution functions derived from the ENDF data files directly instead of being converted to double differential cross sections. This allows the size of the cross section data on the disk to be reduced substantially amount. KENO has also been updated to allow interpolation in temperature on these data so that problems can be run at any temperature. Results are shown for several simplified problems for a variety of moderators. In addition, benchmark models based on the KRITZ reactor in Sweden were run, and the results are compared with the previous versions of KENO without the direct S(α,β) method. Results from the direct S(α,β) method compare favorably with the original results obtained using the double differential cross sections. Finally, sampling the data increases the run-time of the Monte Carlo calculation, but memory usage is decreased substantially.},

doi = {10.1016/j.anucene.2016.11.019},

journal = {Annals of Nuclear Energy (Oxford)},

number = ,

volume = 101,

place = {United States},

year = 2016,

month =

}