4.7 Article

Including massive neutrinos in thermal Sunyaev Zeldovich power spectrum and cluster counts analyses

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 497, Issue 2, Pages 1332-1347

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa1835

Keywords

galaxies: clusters: intracluster medium; cosmological parameters; cosmology: observations; cosmology: theory

Funding

  1. ERC Consolidator Grant [725456]
  2. DOE [DE-SC0017848]
  3. Deutsche Forschungsgemeinschaft
  4. RWTH High Performance Computing cluster [RWTH0113]
  5. JARA-HPC from RWTH Aachen University [JARA0184]
  6. Royal Society as a Royal Society University Research Fellow at the University of Manchester, UK
  7. ESA Member State, Canada
  8. NASA
  9. U.S. Department of Energy (DOE) [DE-SC0017848] Funding Source: U.S. Department of Energy (DOE)

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We consistently include the effect of massive neutrinos in the thermal Sunyaev Zeldovich (SZ) power spectrum and cluster counts analyses, highlighting subtle dependencies on the total neutrino mass and data combination. In particular, we find that using the transfer functions for cold dark matter (CDM) + baryons in the computation of the halo mass function, instead of the transfer functions including neutrino perturbations, as prescribed in recent work, yields an approximate to 0.25 per cent downward shift of the sigma(8) constraint from tSZ power spectrum data, with a fiducial neutrino mass Sigma m(nu) = 0.06 eV. In Lambda CDM, with an X-ray mass bias corresponding to the expected hydrostatic mass bias, i.e. (1 - b) similar or equal to 0.8, our constraints from Planck SZ data are consistent with the latest results from SPT, DES-Y1, and KiDS+VIKING-450. In. Lambda CDM, our joint analyses of Planck SZ with Planck 2015 primary CMB yield a small improvement on the total neutrino mass bound compared to the Planck 2015 primary CMB constraint, as well as (1 - b) similar or equal to 0.64 +/- 0.04 (68 per cent CL). For forecasts, we find that competitive neutrino mass measurements using cosmic variance limited SZ power spectrum require masking the heaviest clusters and probing the small-scale SZ power spectrum up to l(max) approximate to 10(4). Although this is challenging, we find that SZ power spectrum can realistically be used to tightly constrain intracluster medium properties: we forecast a 2 per cent determination of the X-ray mass bias by combining CMB-S4 and our mock SZ power spectrum with l(max) = 10(3).

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