The ABS method applied to Planck PR3 data yields a tSZ power spectrum amplitude 34% lower than the Planck 2015 best-fit when trispectrum is included.
CMB and SZ effect separation with Constrained Internal Linear Combinations
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abstract
The `Internal Linear Combination' (ILC) component separation method has been extensively used on the data of the WMAP space mission, to extract a single component, the CMB, from the WMAP multifrequency data. We extend the ILC approach for reconstructing millimeter astrophysical emissions beyond the CMB alone. In particular, we construct a Constrained ILC to extract clean maps of both the CMB or the thermal Sunyaev Zeldovich (SZ) effect, with vanishing contamination from the other. The performance of the Constrained ILC is tested on simulations of Planck mission observations, for which we successfully reconstruct independent estimates of the CMB and of the thermal SZ.
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BROOM is a Python package that applies ILC and GILC techniques for model-independent separation of CMB, SZ, and foreground signals in microwave data along with diagnostic and simulation utilities.
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Reconstructing the Thermal Sunyaev Zeldovich Power Spectrum from Planck using the ABS Method
The ABS method applied to Planck PR3 data yields a tSZ power spectrum amplitude 34% lower than the Planck 2015 best-fit when trispectrum is included.
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BROOM: a python package for model-independent analysis of microwave astronomical data
BROOM is a Python package that applies ILC and GILC techniques for model-independent separation of CMB, SZ, and foreground signals in microwave data along with diagnostic and simulation utilities.