Finding SZ clusters in the ACBAR maps
Elena Pierpaoli, Sandrine Anthoine
Abstract
We present a new method for component separation from multifrequency maps aimed to extract Sunyaev-Zeldovich (SZ) galaxy clusters from Cosmic Microwave Background (CMB) experiments. This method is best suited to recover non--Gaussian, spatially localized and sparse signals. We apply our method on simulated maps of the ACBAR experiment. We find that this method improves the reconstruction of the integrated y parameter by a factor three with respect to the Wiener filter case. Moreover, the scatter associated with the reconstruction is reduced by 30 per cent.
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