Updated observational constraints on spatially-flat and non-flat $\Lambda$CDM and XCDM cosmological models
Javier de Cruz Perez, Chan-Gyung Park, Bharat Ratra

TL;DR
This paper updates observational constraints on various flat and non-flat $ ext{Lambda}$CDM and XCDM cosmological models using Planck 2018 data and other cosmological observations, finding mild preferences for open geometry and quintessence-like dark energy.
Contribution
It provides the most restrictive constraints to date on cosmological parameters for flat LCDM and other models, incorporating multiple data sets and primordial power spectra.
Findings
Planck data favor closed geometry and phantom-like dark energy.
Non-CMB data favor open geometry and quintessence-like dark energy.
Joint analysis shows weak evidence for open geometry and moderate evidence for quintessence-like dark energy.
Abstract
We study 6 LCDM models, with 4 allowing for non-flat geometry and 3 allowing for a non-unity lensing consistency parameter . We also study 6 XCDM models with a dynamical dark energy density X-fluid with equation of state . For the non-flat models we use two different primordial power spectra, Planck and new . These models are tested against: Planck 2018 CMB power spectra (P18) and lensing potential power spectrum (lensing), and an updated compilation of BAO, SNIa, , and data [non-CMB data]. P18 data favor closed geometry for the LCDM and XCDM models and (phantom-like dark energy) for the XCDM models while non-CMB data favor open geometry for the LCDM models and closed geometry and (quintessence-like dark energy) for the XCDM models. When P18 and non-CMB data are jointly analyzed there is weak evidence for open geometry and moderate…
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.
Taxonomy
TopicsCosmology and Gravitation Theories · Computational Physics and Python Applications · Particle physics theoretical and experimental studies
