Thermal modelling with neural network applied to Planck space mission

The European Space Agency Planck satellite will be launched in 2007. The goal of this mission is to perform a complete survey of the cosmic microwave background. The high frequency instrument (HFI) on-board Planck would perform all-sky mapping at sub-millimetre and millimetre wavelengths using bolometers cooled at very low temperatures. We have developed a new method able to predict precisely the thermal behaviour of the instrument in order to extract instrumental additive signals due to self-emission by the various cryogenic stages. This article presents a synthesis of the results obtained with neural methods for this modelling problem.