Applying Random Sampling methods to data analysis for uncertainty production, with an Open source and Open science outlook

This HDR manuscript discusses the significance of nuclear data for energy applications, with an emphasis on the need for improved accuracy in reaction modeling. It focuses on inelastic neutron scattering reactions and presents findings from experimental studies using the Grapheme setup at the Gelina facility. Specifically, it presents measurements on ¹⁸³W, with the end goal of constraining reaction models. This study uses a full Monte Carlo analysis approach to produce uncertainties and correlation matrices, aiming for comprehensive documentation. Embracing Open Science principles, the manuscript details the current research practice standards for better publication of research products. (author)