Applying Random Sampling methods to data analysis for uncertainty production, with an Open source and Open science outlook - Département Recherches Subatomiques
Hdr Année : 2024

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

Application de méthodes d’échantillonnage aléatoire à l’analyse de données pour la production d’incertitude, avec une perspective code ouvert et science ouverte.

Greg Henning

Résumé

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.
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Dates et versions

tel-04695837 , version 1 (19-09-2024)

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Greg Henning. Applying Random Sampling methods to data analysis for uncertainty production, with an Open source and Open science outlook. Nuclear Experiment [nucl-ex]. Université de Strasbourg, 2024. ⟨tel-04695837⟩
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