Observational Constraints on the Tilted Spatially Flat and the Untilted Nonflat φcDM Dynamical Dark Energy Inflation Models

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Abstract

We constrain spatially flat tilted and nonflat untilted scalar field (φ) dynamical dark energy inflation (φCDM) models by using Planck 2015 cosmic microwave background (CMB) anisotropy measurements and recent baryonic acoustic oscillation distance observations, Type Ia supernovae apparent magnitude data, Hubble parameter measurements, and growth rate data. We assume an inverse power-law scalar field potential energy density . We find that the combination of the CMB data with the four non-CMB data sets significantly improves parameter constraints and strengthens the evidence for nonflatness in the nonflat untilted φCDM case from 1.8σ for the CMB measurements only to more than 3.1σ for the combined data. In the nonflat untilted φCDM model, current observations favor a spatially closed universe with spatial curvature contributing about two-thirds of a percent of the present cosmological energy budget. The flat tilted φCDM model is a 0.4σ better fit to the data than is the standard flat tilted ΛCDM model: current data allow for the possibility that dark energy is dynamical. The nonflat tilted φCDM model is in better accord with the Dark Energy Survey bounds on the rms amplitude of mass fluctuations now (σ 8) as a function of the nonrelativistic matter density parameter now (Ωm) but it does not provide as good a fit to the larger-multipole Planck 2015 CMB anisotropy data as does the standard flat tilted ΛCDM model. A few cosmological parameter value measurements differ significantly when determined using the tilted flat and the untilted nonflat φCDM models, including the cold dark matter density parameter and the reionization optical depth.

Original languageEnglish
Article number83
JournalAstrophysical Journal
Volume868
Issue number2
DOIs
StatePublished - 2018.12.1

Keywords

  • cosmic background radiation
  • cosmological parameters
  • inflation
  • large-scale structure of universe
  • methods: statistical

Quacquarelli Symonds(QS) Subject Topics

  • Earth & Marine Sciences
  • Geophysics
  • Geology
  • Physics & Astronomy

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