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Evolving Dark Energy with w Deviating from -1

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arxiv astro-ph/0503706 v1 pith:IGIVAVFH submitted 2005-03-31 astro-ph hep-phhep-th

Evolving Dark Energy with w Deviating from -1

classification astro-ph hep-phhep-th
keywords approxscaledarkenergyaxionevolutionmassconstructed
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Theories of evolving quintessence are constructed that generically lead to deviations from the w = -1 prediction of non-evolving dark energy. The small mass scale that governs evolution, m_\phi \approx 10^{-33} eV, is radiatively stable, and the ``Why Now?'' problem is solved. These results rest crucially on seesaw cosmology: in broad outline, fundamental physics and cosmology can be understood from only two mass scales, the weak scale, v, and the Planck scale, M. Requiring a scale of dark energy \rho_{DE}^{1/4} governed by v^2/M, and a radiatively stable evolution rate m_\phi given by v^4/M^3, leads to a distinctive form for the equation of state w(z) that follows from a cosine quintessence potential. An explicit hidden axion model is constructed. Dark energy resides in the potential of the axion field which is generated by a new QCD-like force that gets strong at the scale \Lambda \approx v^2/M \approx \rho_{DE}^{1/4}. The evolution rate is given by a second seesaw that leads to the axion mass, m_\phi \approx \Lambda^2/f, with f \approx M.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Cosmology of axion dark energy in supersymmetric models and constraints on high scale parameters

    astro-ph.CO 2025-11 conditional novelty 5.0

    A two-cosine axion dark energy potential fits CMB+BAO+supernova data better than the standard one-cosine potential, while preferring a sub-Planckian decay constant and a feeble dark-matter coupling.

  2. DESI constraints on two-field quintessence with exponential potentials

    astro-ph.CO 2025-10 conditional novelty 5.0

    A two-field exponential-potential quintessence model fits DESI+CMB+SnIa data with moderate Bayesian preference over ΛCDM and slope parameters λφ≈λχ≈1.