A Dark Energy Paradigm: III. Unified Dark Sector to Predict Dark Energy, Dark Matter, and Baryonic Matter Distributions

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This preprint proposes an extension of a “dark energy paradigm” into a unified dark sector to model the distribution of dark energy, cold dark matter, and baryonic matter, using Planck’s dimensional analysis, ΛCDM, energy conservation, and force equilibrium. The authors report predicted present-day density parameters of ΩΛ ≈ 0.667, Ωc ≈ 0.283, and Ωb ≈ 0.050, each agreeing with observed values to within about 1%. The paper is not peer reviewed and, based on the provided text, the key quantitative comparisons and underlying derivations are presented without explicit discussion of broader limitations or validation beyond matching these cosmological parameters. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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A Dark Energy Paradigm: III. Unified Dark Sector to Predict Dark Energy, Dark Matter, and Baryonic Matter Distributions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article A Dark Energy Paradigm: III. Unified Dark Sector to Predict Dark Energy, Dark Matter, and Baryonic Matter Distributions Yong-Jae Moon, Wook Koh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3549200/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract A dark energy paradigm was first developed by authors to solve the cosmological constant problem and to predict lepton masses as evidence. It was used to reveal an underlying structure of a M ON D algorithm to model cold dark matter and to predict galactic dynamics. In this paper, the dark energy paradigm a unified dark sector that is based on Planck’s dimensional analysis, ΛCDM , energy conservation, and force equilibrium is further developed to predict the distribution of dark energy, dark matter, and baryonic matter as well. We find that the dark energy distribution is predicted to be ΩΛ ≈ 0.667, which agrees withthe observed value with a 1% difference. We find that dark matter and baryonic matter distributions are predicted to be Ωc ≈ 0.283 and Ωb ≈ 0.050, respectively, which agree with the observed values with 1% differences. Physical sciences/Astronomy and planetary science/Astronomy and astrophysics/Cosmology Physical sciences/Astronomy and planetary science/Astronomy and astrophysics/Dark energy and dark matter Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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