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Relationship between the CMB, Sunyaev-Zel’dovich cluster counts, and local Hubble parameter measurements in a simple void model

Kiyotomo Ichiki, Chul‐Moon Yoo, Masamune Oguri · 2016 · 17 citationsRead the paper

The discrepancy between the amplitudes of matter fluctuations inferred from Sunyaev-Zel'dovich (SZ) cluster number counts and the measurement of temperature and polarization anisotropies of the cosmic microwave background (CMB) measured by the Planck satellite can be reconciled if the local universe is embedded in an underdense region as shown by Lee, 2014. Here using a simple void model assuming the open Friedmann-Robertson-Walker geometry and a Markov Chain Monte Carlo technique, we investigate how deep the local underdense region needs to be to resolve this discrepancy. Such local void, if it exists, predicts the local Hubble parameter value that is different from the global Hubble constant. We derive the posterior distribution of the local Hubble parameter from a joint fitting of the Planck CMB data and SZ cluster number counts assuming the simple void model. We show that the predicted local Hubble parameter value of ${H}_{\text{loc}}=70.1\ifmmode\pm\else\textpm\fi{}0.34\text{ }\text{ }\mathrm{km}\text{ }{\mathrm{s}}^{\ensuremath{-}1}\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$ is in better agreement with direct local Hubble parameter measurements, indicating that the local void model may provide provide a consistent solution to the cluster number counts and Hubble parameter discrepancies.

What the full text shows

Theory or simulation
  • The local void model predicts a local Hubble parameter that aligns with direct local measurements. — Hloc = 70.1 ± 0.34 km s−1Mpc−1 (Joint fitting of Planck CMB data and SZ cluster number counts)
  • The local void model is statistically preferable to the standard ΛCDM model for the combined dataset. — Δχ2 ≈ 8.44; AIC ≈ 6.44 (Joint fitting of Planck CMB and SZ cluster number counts)
  • The standard ΛCDM model is excluded in favor of the void model. — 2.4σ level (Based on the posterior distribution of the void parameter floc = 1.03 ± 0.01245)
Setup
Planck 2013 CMB data and SZ cluster number counts (sky fraction fsky = 0.65).
How
The authors used a simple open Friedmann-Robertson-Walker (FRW) geometry to model a local under-dense region and employed a Markov Chain Monte Carlo (MCMC) technique for joint fitting of CMB and SZ cluster data.
Limitations
The Tinker mass function used was not specifically tested for open ΛCDM models. · The model assumes a simple top-hat density profile. · The analysis relies on the Planck 2013 dataset (though authors note persistence in 2015 data).

Summarized by Gemma 4 from the open-access full text · 8 Oct 2026. Read it