Constraining Quintessence Models with ISW-tSZ Cross-Correlations: A Comparative Analysis of Thawing, Tracker, and Scaling-Freezing Dynamics
Ayodeji Ibitoye, Shiriny Akthar, Md. Wali Hossain, Amare Abebe, Prabhakar Tiwari, Xuelei Chen, Jackson Said, Jacob Oloketuyi

TL;DR
This paper uses ISW-tSZ cross-correlation data to constrain different quintessence dark energy models, comparing their parameters and effectiveness against the standard $\\Lambda$CDM cosmology.
Contribution
It provides a comprehensive likelihood analysis of thawing, tracker, and scaling-freezing quintessence models using observational cross-correlation data, highlighting their differences and constraints.
Findings
Tracker model yields specific parameters with confidence intervals.
Thawing model with exponential potential fits data best among tested models.
tSZ and CIB parameters are tightly constrained, informing astrophysical foregrounds.
Abstract
We present constraints on quintessence dark energy models using the observational detection of the Integrated Sachs-Wolfe (ISW)--thermal Sunyaev-Zeldovich (tSZ) cross-correlation dataset. Our analysis compares three classes of quintessence dynamics: thawing, tracker, and scaling-freezing with the standard CDM cosmology. Through a comprehensive likelihood analysis, we derive best-fit values and 68\% confidence intervals for key cosmological parameters, finding and for CDM, with deviations in alternative models consistent within . For the thawing model, we consider an exponential potential with slope , while for the tracker and scaling-freezing models, we use inverse axion-like and double exponential potentials, respectively. Observationally, the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Dark Matter and Cosmic Phenomena
