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In space, the radiative heat transfer is the dominant phenomenon. Therefore, the spacecraft thermal analysis pays particular attention to the computation of the radiative terms of the heat transfer equation (radiative couplings and external heat fluxes). In the European space industry, widely automated softwares such as THERMICA (distributed by MMS1), based on a Monte-Carlo Ray-Tracing method simulating the behaviour of photons, have permitted to reach a satisfactory level of accuracy while keeping an acceptable cpu-time consumption. However, even if results converge when the number of photons increases, the adequate number of photons required to achieve a given accuracy is not available. This lack of information may produce “hidden errors” in the radiative model. To solve this problem, a statistical method, based on the central limit theorem, was developed in 1992 [2] and improved in 1993 [5], in order to compute confidence intervals from the variance of the results.