Reproducing $\Lambda$CDM-like Solutions in $f(Q)$ Gravity: A Comprehensive Study Across All Connection Branches
Saikat Chakraborty, Jibitesh Dutta, Daniele Gregoris, Khamphee Karwan, and Wompherdeiki Khyllep

TL;DR
This study investigates whether $f(Q)$ gravity can replicate $ ext{Lambda}$CDM-like cosmic evolution across all connection branches, reconstructing specific models and analyzing their stability and robustness at the background level.
Contribution
It provides the first comprehensive reconstruction of $ ext{Lambda}$CDM-like solutions in $f(Q)$ gravity for all connection branches, including analytical and numerical methods.
Findings
Reconstructed $f(Q)$ models for all three connection branches.
Confirmed stability and robustness of the $ ext{Lambda}$CDM-like solutions.
Demonstrated background-level viability of $f(Q)$ models mimicking $ ext{Lambda}$CDM.
Abstract
Given the remarkable success of the CDM model in fitting various cosmological observations, a pertinent question in assessing the phenomenological viability of modified gravity theories is whether they can reproduce an exactly CDM-like cosmic background evolution. In this paper, we address this question in the context of gravity, where denotes the nonmetricity scalar. It is known that there are three possible symmetric teleparallel connection branches that respect the cosmological principles of spatial homogeneity, isotropy, and global spatial flatness. By enforcing a CDM-like background evolution via the cosmographic condition , where is the jerk parameter, we reconstruct the CDM-mimicking theory for each of the three possible connection branches. For the first connection branch, also known as the ``coincident gauge'' in…
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
TopicsGeophysics and Gravity Measurements · Computational Physics and Python Applications · Distributed and Parallel Computing Systems
