Uncertainty Assessment for Fast Reactors Based on Nuclear Data Adjustment

@inproceedings{Ivanova2014UncertaintyAF,
  title={Uncertainty Assessment for Fast Reactors Based on Nuclear Data Adjustment},
  author={Tatiana Ivanova and Evgeny Alexeevich Ivanov and F. Ecrabet},
  year={2014}
}
Abstract The paper presents IRSN's results of the OECD/NEA WPEC Subgroup 33 benchmark exercise which is focused upon combined use of differential and integral data using adjustment technique. The results are generated by BERING code using different sets of input data: integral parameters and sensitivity coefficients for fast benchmark experiments and applications computed by deterministic ERANOS code and Monte Carlo SCALE sequences, COMMARA-2.0 and JENDL-4.0 cross-section-covariance data and… CONTINUE READING