Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data
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. Here, 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.
- Authors:
-
- Chonbuk National Univ., Jeonju (South Korea); Kansas State Univ., Manhattan, KS (United States)
- Kansas State Univ., Manhattan, KS (United States)
- Publication Date:
- Research Org.:
- Kansas State Univ., Manhattan, KS (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1642539
- Grant/Contract Number:
- SC0019038
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Astrophysics and Space Science
- Additional Journal Information:
- Journal Volume: 364; Journal Issue: 8; Journal ID: ISSN 0004-640X
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; cosmological parameters; large-scale structure of universe; observations; methods: statistical
Citation Formats
Park, Chan-Gyung, and Ratra, Bharat. Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data. United States: N. p., 2019.
Web. doi:10.1007/s10509-019-3627-8.
Park, Chan-Gyung, & Ratra, Bharat. Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data. United States. https://doi.org/10.1007/s10509-019-3627-8
Park, Chan-Gyung, and Ratra, Bharat. Fri .
"Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data". United States. https://doi.org/10.1007/s10509-019-3627-8. https://www.osti.gov/servlets/purl/1642539.
@article{osti_1642539,
title = {Measuring the Hubble constant and spatial curvature from supernova apparent magnitude, baryon acoustic oscillation, and Hubble parameter data},
author = {Park, Chan-Gyung and Ratra, Bharat},
abstractNote = {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. Here, 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.},
doi = {10.1007/s10509-019-3627-8},
journal = {Astrophysics and Space Science},
number = 8,
volume = 364,
place = {United States},
year = {2019},
month = {8}
}
Web of Science
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