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

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

Afficher 

Greg Henning

Résumé

The work presented in this HDR defense looks at 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.

Dates et versions

hal-04697007 , version 1 (13-09-2024)

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  • HAL Id : hal-04697007 , version 1

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Greg Henning. Applying Random Sampling methods to data analysis for uncertainty production, with an Open source and Open science outlook. 2024. ⟨hal-04697007⟩
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