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Joint analysis of the thermal Sunyaev–Zeldovich effect and 2MASS galaxies: probing gas physics in the local Universe and beyond

2018/04/30 by Ryu Makiya, Shin'ichiro Ando, Shin’ichiro Ando +1
Physics and Astronomy · #Anisotropy #Astrophysics #Cosmic background radiation #Cosmic microwave background #Cosmology #Cosmology and Gravitation Theories #Dark Matter and Cosmic Phenomena #Galaxies: Formation, Evolution, Phenomena #Galaxy #Galaxy cluster #Physics #Planck #Redshift #South Pole Telescope #Spectral density #astro-ph.CO

paper · pdf · doi:10.1093/mnras/sty2031

14 pages, 11 figures, MNRAS accepted, references corrected

openalex publication_date 2018/07/29 · arxiv created 2018/09/09 · arxiv updated 2018/09/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

We present a first joint analysis of the power spectra of the thermal Sunyaev–Zeldovich (tSZ) effect measured by the Planck and the number density fluctuations of galaxies in the 2MASS (Two Micron All Sky Survey) redshift survey (2MRS) catalogue, including their cross-correlation. Combining these measurements with the cosmic microwave background (CMB) data and CMB lensing of Planck assuming a flat Λ cold dark matter (ΛCDM) model, we constrain the mass bias parameter as B = 1.54 ± 0.098(1σ) [(1 − b) = 0.649 ± 0.041, where (1 − b) ≡ B−1], i.e. the Planck cluster mass should be |35 \rm per cent| lower than the true mass. The mass bias determined by the 2MRS–tSZ cross-power spectrum alone is consistent with that determined by the tSZ autopower spectrum alone, suggesting that this large mass bias is not due to obvious systematics in the tSZ data. We find that the 2MRS–tSZ cross-power spectrum is more sensitive to less massive haloes than the tSZ autopower spectrum and it significantly improves a constraint on the mass dependence of the mass bias. The redshift dependence is not strongly constrained since the multipole range in which high redshift clusters mainly contribute to the tSZ auto is dominated by the contaminating sources. We conclude that no strong mass or redshift evolution of the mass bias is needed to explain the data.

Citations