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Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data

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Abstract

Cosmic microwave background (CMB) anisotropy (spatial inhomogeneity) data provide the tightest constraints on the Hubble constant, matter density, spatial curvature, and dark energy dynamics. Other data, sensitive to the evolution of only the spatially homogeneous part of the cosmological model, such as Type Ia supernova apparent magnitude, baryon acoustic oscillation distance, and Hubble parameter measurements, can be used in conjunction with the CMB data to more tightly constrain parameters. Recent joint analyses of CMB and such non-CMB data indicate that slightly closed spatial hypersurfaces are favored in nonflat untilted inflation models and that dark energy dynamics cannot be ruled out, and favor a smaller Hubble constant. We show that the constraints that follow from these non-CMB data alone are consistent with those that follow from the CMB data alone and so also consistent with, but weaker than, those that follow from the joint analyses of the CMB and non-CMB data.

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Notes

  1. Hubble parameter measurements provide evidence for the earlier nonrelativistic matter dominated cosmological expansion as well as the current dark energy powered accelerating cosmological expansion (Farooq and Ratra 2013; Farooq et al. 2013; Capozziello et al. 2014; Moresco et al. 2016; Farooq et al. 2017; Yu et al. 2018; Jesus et al. 2018; Haridasu et al. 2018b).

  2. For earlier discussions of cosmological constraints on the \(\phi \text{CDM}\) model see Samushia et al. (2007), Yashar et al. (1999), Samushia and Ratra (2010), Chen and Ratra (2011b), Campanelli et al. (2012), Avsajanishvili et al. (2015), Solà et al. (2017a,b), Zhai et al. (2017), Sangwan et al. (2018), and references therein.

  3. This result differs from the Ade et al. (2016), Aghanim et al. (2018) finding. As mentioned above, and discussed in detail elsewhere, the Planck analyses used a physically inconsistent power spectrum for energy density inhomogeneities, a physically inconsistent generalization of the nonflat untilted inflation model (Gott 1982; Hawking 1984; Ratra 1985) energy density inhomogeneity power spectrum (Ratra and Peebles 1995; Ratra 2017).

  4. We emphasize that these results refer to the cosmological parameter constraints, not to the goodness-of-fit of the best-fit set of cosmological parameters to the measurements. We find that the non-CMB data compilation we use here does not significantly distinguish between any of the best-fit models on the basis of goodness-of-fit. When the CMB data are included in the mix we are unable to quantitatively determine the goodness-of-fit of the best-fit set of cosmological parameters to the measurements. This is in part due to the ambiguity in the number of degrees of freedom of the Planck CMB data (see discussion in Ooba et al. 2018a,b,c,d; Park and Ratra 2018a,b,c). We also emphasize that qualitatively the slightly closed models better fit the lower multipole number CMB temperature anisotropy data and the weak lensing constraints on density inhomogeneities (Abbott et al. 2018) while the flat models better fit the higher multipole number CMB temperature anisotropy data and the observed deuterium abundances (Penton et al. 2018).

  5. Although we use the parameter \(\theta _{\text{MC}}\), the approximate angular size of the sound horizon at recombination (Ade et al. 2014), instead of \(H_{0}\) in our \(\varLambda \text{CDM}\) and XCDM model analyses, we instead record the derived \(H_{0}\) as one of the main cosmological parameters for these models. For the \(\phi \text{CDM}\) model, however, \(H_{0}\) (not \(\theta _{\text{MC}}\)) is the active parameter in the MCMC analysis.

  6. For earlier discussions of constraints on spatial curvature, see Farooq et al. (2015), Chen et al. (2016), Yu and Wang (2016), L’Huillier and Shafieloo (2017), Farooq et al. (2017), Wei and Wu (2017), Rana et al. (2017), Yu et al. (2018), Mitra et al. (2018, 2019), and Ryan et al. (2018, 2019).

  7. The \(H_{0}\) estimates here are consistent with many recent estimates based on non-CMB data (L’Huillier and Shafieloo 2017; Chen et al. 2017; Wang et al. 2017; Lin and Ishak 2017; Abbott et al. 2017; Yu et al. 2018; Haridasu et al. 2018a; Zhang et al. 2018; Gómez-Valent and Amendola 2018; Haridasu et al. 2018b; da Silva and Cavalcanti 2018; Zhang 2018) as well as with those from CMB data (Aghanim et al. 2018; Park and Ratra 2018a,b,c).

  8. Other local expansion rate measurements find slightly lower \(H_{0}\) values and slightly larger error bars (Rigault et al. 2015; Zhang et al. 2017; Dhawan et al. 2017; Fernández Arenas et al. 2018); also see Roman et al. (2017), Kim et al. (2018), and Jones et al. (2018).

  9. The main reason for the smaller \(\chi^{2}\) value in the nonflat \(\phi \text{CDM}\) model is that it fits the BAO data much better than do the \(\varLambda \text{CDM}\) and XCDM models.

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Acknowledgements

C.-G.P. was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2017R1D1A1B03028384). B.R. was supported in part by DOE grant DE-SC0019038.

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Correspondence to Chan-Gyung Park.

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Park, CG., Ratra, B. Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data. Astrophys Space Sci 364, 134 (2019). https://doi.org/10.1007/s10509-019-3627-8

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  • DOI: https://doi.org/10.1007/s10509-019-3627-8

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