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

TL;DR

This paper introduces a multiscale needlet ILC method to combine heterogeneous datasets for high-resolution thermal SZ effect mapping, improving signal extraction and foreground removal.

Contribution

It presents a novel multiscale needlet ILC approach that effectively integrates high- and low-resolution data for enhanced SZ map reconstruction.

Findings

Effective separation of SZ signal from foregrounds at multiple scales

Improved high-resolution SZ map quality using combined datasets

Flexible adaptation to various experimental configurations

Abstract

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.