This repository contains the dataset, post-processing script and models needed to reproduce the results presented in the article "Nuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design", published in the special issue of Nuclear Science and Engineering dedicated to the 1st Young Molten Salt Reactor Conference (held in Lecco in June 6th and 9th 2022). The dataset includes: the perturbed nuclear data files (in ACE and ENDF-6 formats) generated with the open-source, python package SANDY and processed with the processing code NJOY by using the NDL code. the Serpent 2 Monte Carlo calculations for two models of the Molten Salt Fast Reactor design, conceived during the SAMOFAR EU project The python scripts include pre- and post-processing tools used to generate the perturbed data and to analyse the Serpent 2 output.

Nuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design (dataset) / Abrate, Nicolo'; Aimetta, Alex. - (2023). [10.5281/zenodo.7937502]

Nuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design (dataset)

Nicolo Abrate;Alex Aimetta
2023

Abstract

This repository contains the dataset, post-processing script and models needed to reproduce the results presented in the article "Nuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design", published in the special issue of Nuclear Science and Engineering dedicated to the 1st Young Molten Salt Reactor Conference (held in Lecco in June 6th and 9th 2022). The dataset includes: the perturbed nuclear data files (in ACE and ENDF-6 formats) generated with the open-source, python package SANDY and processed with the processing code NJOY by using the NDL code. the Serpent 2 Monte Carlo calculations for two models of the Molten Salt Fast Reactor design, conceived during the SAMOFAR EU project The python scripts include pre- and post-processing tools used to generate the perturbed data and to analyse the Serpent 2 output.
2023
https://doi.org/10.5281/zenodo.7937502
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2978731