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An improved Compton parameter map of thermal Sunyaev-Zeldovich effect from Planck PR4 data

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arxiv 2305.10193 v3 pith:ZTIIZZLS submitted 2023-05-17 astro-ph.CO

An improved Compton parameter map of thermal Sunyaev-Zeldovich effect from Planck PR4 data

classification astro-ph.CO
keywords thermalplanckdataeffectnilcnoisereducedangular
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Taking advantage of the reduced levels of noise and systematics in the data of the latest Planck release (PR4, also known as NPIPE), we construct a new all-sky Compton-$y$ parameter map (hereafter, $y$-map) of the thermal Sunyaev-Zeldovich (SZ) effect from the Planck PR4 data. A tailored Needlet Internal Linear Combination (NILC) pipeline, first validated on detailed sky simulations, is applied to the nine single-frequency Planck PR4 sky maps, ranging from $30$ to $857$ GHz, to produce the PR4 $y$-map over 98% of the sky. Using map comparisons, angular power spectra and one-point statistics we show that the PR4 NILC $y$-map is of improved quality compared to that of the previous PR2 release. The new $y$-map shows reduced levels of large-scale striations associated with $1/f$ noise in the scan direction. Regions near the Galactic plane also show lower residual contamination by Galactic thermal dust emission. At small angular scales, the residual contamination by thermal noise and cosmic infrared background (CIB) emission is found to be reduced by around 7% and 34%, respectively, in the PR4 $y$-map. The PR4 NILC $y$-map is made publicly available for astrophysical and cosmological analyses of the thermal SZ effect.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Enhanced foreground mitigation in thermal SZ Compton-$y$ maps via polarization and deprojection

    astro-ph.CO 2026-03 conditional novelty 6.0

    Combining temperature and polarization in a needlet ILC cuts residual Galactic contamination in the Planck thermal SZ y-map by about 40% (IRAS cross-correlation), with larger projected gains for future low-noise surveys.

  2. Reconstructing the Thermal Sunyaev Zeldovich Power Spectrum from Planck using the ABS Method

    astro-ph.CO 2024-12 unverdicted novelty 6.0

    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.

  3. BROOM: a python package for model-independent analysis of microwave astronomical data

    astro-ph.CO 2026-04 unverdicted novelty 4.0

    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.