抄録
Inspired from meteorological applications, data assimilation techniques can be used to perform an optimal reconstruction of the neutronic field in a nuclear reactor core. Measurements and simulation information, coming from a numerical model, are merged together to build a better estimation of the whole field. In this paper, we first study the robustness of the method when the amount of measured information varies. We then study the influence of the nature of the instruments and their spatial repartition on the efficiency of the field reconstruction. This study also highlights the instruments providing most information within a data assimilation procedure. The study of various network configurations of instruments in the nuclear core establishes that the influence of each instrument depends both on the individual instrumentation location as well as on the chosen network.
