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Reconstructing the thermal Sunyaev Zeldovich power spectrum from Planck using the ABS method
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DOI：10.1088/1475-7516/2026/05/013.png)
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Abstract
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This study presents a novel approach to reconstructing the thermal Sunyaev-Zeldovich (tSZ) power spectrum from Planck data using the Analytical Blind Separation (ABS) method. ABS enhances the recovery of weak signals by excluding low-signal-to-noise eigenmo des and introducing a shift parameter to stabilize the reconstruction. Using the Planck PR3 full-mission data, ABS yields lower amplitudes of the y-map power spectrum at & ell; greater than or similar to 300 than the Planck 2015 MILCA and NILC band powers, suggesting reduced contamination from foreground residuals. After marginalizing over residual foregrounds, we estimate the tSZ power spectrum both with and without including the trispectrum contribution in the covariance. Excluding the trispectrum, the inferred tSZ amplitude is similar to 9% lower than the Planck 2015 best-fit value, yet consistent within 2cy [1]. Including the trispectrum yields an amplitude similar to 18% higher than the Bolliet 2018 best-fit value, corresponding to a similar to 1.2cy deviation [2]. In both cases, the results are consistent with the Battaglia 2012 model at the 1cy level [3]. These results indicate that ABS provides an independent and complementary measurement of the tSZ power spectrum.
Keywords:
power spectrum
Sunyaev-Zeldovich effect
Bayesian reasoning
cosmological parameters from CMBR
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5.9
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