Aspects of Everpresent $\Lambda$ (II): Cosmological Tests of Current Models
Santanu Das, Arad Nasiri, and Yasaman K. Yazdi

TL;DR
This paper tests the Everpresent Λ stochastic dark energy model against SN Ia and CMB data, finding limited improvements over ΛCDM but suggesting potential for early dark energy effects and reduced Hubble tension.
Contribution
It provides observational constraints on Everpresent Λ, explores modifications to improve fits, and assesses its viability compared to standard cosmological models.
Findings
Some realizations fit SN Ia data better than ΛCDM.
Suppressing Λ near last scattering improves model fit.
Allowed dark energy variation can reduce Hubble tension.
Abstract
This paper investigates Everpresent , a stochastic dark energy model motivated by causal set theory and unimodular gravity, and confronts it with two key observational data sets, Supernova Ia (SN Ia) and Cosmic Microwave Background (CMB) data. A key feature of this model is that fluctuates over time and on average the magnitude of its fluctuations is of the order of the dominant energy density (be it radiation or matter) for the given epoch. In particular, we focus on a phenomenological implementation of Everpresent known as Model 1. The random fluctuations in Everpresent realizations are generated using seed numbers, and we find that for a small fraction of seeds Model 1 is capable of producing realizations that fit SN Ia data better than CDM. We further investigate what features distinguish these realizations from the more general…
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Taxonomy
TopicsCosmology and Gravitation Theories · Geophysics and Gravity Measurements · Computational Physics and Python Applications
