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The aim of this work is to propose a joint exploitation of heterogeneousdatasets from high-resolution/few-channel experiments andlow-resolution/many-channel experiments by using a multiscale needlet InternalLinear Combination (ILC), in order to optimize the thermal Sunyaev-Zeldovich(SZ) effect reconstruction at high resolution. We highlight that needlet ILC isa powerful and tunable component separation method which can easily deal withmultiple experiments with various specifications. Such a multiscale analysisrenders possible the joint exploitation of high-resolution and low-resolutiondata, by performing for each needlet scale a combination of some specificchannels, either from one dataset or both datasets, selected for theirrelevance to the angular scale considered, thus allowing to simultaneouslyextract high resolution SZ signal from compact clusters and remove Galacticforeground contamination at large scales.

Reconstruction of high-resolution SZ maps from heterogeneous datasets using needlets