  The aim of this work is to propose a joint exploitation of heterogeneous
datasets from high-resolution/few-channel experiments and
low-resolution/many-channel experiments by using a multiscale needlet Internal
Linear Combination (ILC), in order to optimize the thermal Sunyaev-Zeldovich
(SZ) effect reconstruction at high resolution. We highlight that needlet ILC is
a powerful and tunable component separation method which can easily deal with
multiple experiments with various specifications. Such a multiscale analysis
renders possible the joint exploitation of high-resolution and low-resolution
data, by performing for each needlet scale a combination of some specific
channels, either from one dataset or both datasets, selected for their
relevance to the angular scale considered, thus allowing to simultaneously
extract high resolution SZ signal from compact clusters and remove Galactic
foreground contamination at large scales.
