Observational constraints on the tilted flat-XCDM and the untilted nonflat XCDM dynamical dark energy inflation parameterizations
Chan-Gyung Park, Bharat Ratra

TL;DR
This study uses multiple cosmological data sets to constrain tilted flat and untilted nonflat XCDM dark energy models, finding evidence for slight spatial curvature and mild preference for dynamical dark energy, with implications for cosmological parameter estimates.
Contribution
It provides the first comprehensive constraints on tilted flat and untilted nonflat XCDM models using combined Planck, BAO, supernovae, Hubble, and growth data, highlighting differences from standard models.
Findings
Nonflat XCDM model favors a closed universe with less than 1% curvature contribution.
Data mildly favor dynamical dark energy over a cosmological constant at 1.2σ.
Flat-XCDM fits the data slightly better than ΛCDM, but not significantly.
Abstract
We constrain tilted spatially-flat and untilted nonflat XCDM dynamical dark energy inflation parameterizations using Planck 2015 cosmic microwave background (CMB) anisotropy data and recent baryonic acoustic oscillations distance measurements, Type Ia supernovae data, Hubble parameter observations, and growth rate measurements. Inclusion of the four non-CMB data sets results in a significant strengthening of the evidence for nonflatness in the nonflat XCDM model from 1.1 for the CMB data alone to 3.4 for the full data combination. In this untilted nonflat XCDM case the data favor a spatially-closed model in which spatial curvature contributes a little less than a percent of the current cosmological energy budget; they also mildly favor dynamical dark energy over a cosmological constant at 1.2. These data are also better fit by the flat-XCDM parameterization than…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
