Open AccessUncertainty quantification of isotopic densities in depleted fuel
Author(s) -
Sébastien Lahaye,
Luo Jun,
P. Bellier,
Td. Huynh,
Aimé Tsilanizara
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - nuclear data , uncertainty quantification , propagation of uncertainty , monte carlo method , computer science , experimental data , uncertainty analysis , probabilistic logic , measurement uncertainty , sampling (signal processing) , process (computing) , algorithm , nuclear engineering , nuclear physics , simulation , mathematics , statistics , engineering , physics , machine learning , filter (signal processing) , artificial intelligence , neutron , computer vision , operating system
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