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A General Classification of Starobinsky-like Inflationary Avatars of SU(2,1)/SU(2) x U(1) No-Scale Supergravity

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arxiv 1812.02192 v2 pith:UEI4EWEQ submitted 2018-12-05 hep-th astro-ph.COhep-ph

John Ellis , Dimitri V. Nanopoulos , Keith A. Olive , Sarunas Verner This is my paper · ORCID
classification hep-thastro-ph.COhep-ph
keywords modelsno-scalestarobinskysupergravityavatarsdifferentgeneralmodel
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Measurements of the cosmic microwave background (CMB) favour models of inflation with a small tensor-to-scalar ratio r, as predicted by the Starobinsky R + R^2 model. It has been shown previously that various models based on no-scale supergravity with different forms of superpotential make predictions similar to those of the Starobinsky model. In this paper we present a unified and general treatment of Starobinsky avatars of no-scale supergravity, using the underlying non-compact SU(2,1)/SU(2) x U(1) symmetry to demonstrate equivalences between different models, exhibiting 6 specific equivalence classes.

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Cited by 3 Pith papers

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

  1. Higgs boson mass and thermal wino dark matter from Starobinsky supergravity with the MSSM

    hep-ph 2026-07 conditional novelty 6.0 of 10

    Starobinsky supergravity coupled to the MSSM links the CMB inflationary scale to the Higgs boson mass (~125 GeV) and predicts thermal wino dark matter at ~3 TeV, testable at future colliders and direct detection experiments.

  2. Starobinsky Inflation with T-Model Kaehler Geometries

    hep-ph 2025-02 conditional novelty 5.0 of 10

    Starobinsky-like inflation is embedded in supergravity via T-model Kähler potentials, yielding ns in the range 0.961 to 0.969 and a tensor-to-scalar ratio that rises with Kähler curvature.

  3. Exploring generalized Starobinsky Model of Inflation: Observational Constraints

    astro-ph.CO 2025-02 conditional novelty 3.0 of 10

    The power-law Starobinsky model is constrained to beta = 1.987 +0.013/-0.016 and log10 M = -4.72 +0.21/-0.20 at 95% CL, consistent with the standard R^2 model within 95% confidence.

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