18 citations · 60 across the 5 of their papers we have counts for
5 papers
Surrogate-based variational data assimilation for tidal modelling
Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2
Data assimilation (DA) is widely used to combine physical knowledge and observations. It is nowadays commonly used in geosciences to perform parametric calibration. In a context of…
Physically interpretable machine learning algorithm on multidimensional non-linear fields
Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2
In an ever-increasing interest for Machine Learning (ML) and a favorable data development context, we here propose an original methodology for data-based prediction of two-dimensio…
Variational Assimilation for Xenon Dynamical Forecasts in Neutronic using Advanced Background Error Covariance Matrix
Angélique Ponçot, Jean-Philippe Argaud, Bertrand Bouriquet +3
Data assimilation method consists in combining all available pieces of information about a system to obtain optimal estimates of initial states. The different sources of informatio…
Differential influence of instruments in nuclear core activity evaluation by data assimilation
Bertrand Bouriquet, Jean-Philippe Argaud, Patrick Erhard +4
The global activity fields of a nuclear core can be reconstructed using data assimilation. Data assimilation allows to combine measurements from instruments, and information from a…
Robustness of nuclear core activity reconstruction by data assimilation
Bertrand Bouriquet, Jean-Philippe Argaud, Patrick Erhard +4
We apply a data assimilation techniques, inspired from meteorological applications, to perform an optimal reconstruction of the neutronic activity field in a nuclear core. Both mea…