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Analytical constraints on bimetric gravity

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arxiv 2101.08794 v2 pith:APAKP7N4 submitted 2021-01-21 gr-qc astro-ph.COhep-th

classification gr-qcastro-ph.COhep-th
keywords gravityanalyticalbimetricconstraintscosmologicalfieldgeneralmassive
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Ghost-free bimetric gravity is an extension of general relativity, featuring a massive spin-2 field coupled to gravity. We parameterize the theory with a set of observables having specific physical interpretations. For the background cosmology and the static, spherically symmetric solutions (for example approximating the gravitational potential of the solar system), there are four directions in the parameter space in which general relativity is approached. Requiring that there is a working screening mechanism and a nonsingular evolution of the Universe, we place analytical constraints on the parameter space which rule out many of the models studied in the literature. Cosmological solutions where the accelerated expansion of the Universe is explained by the dynamical interaction of the massive spin-2 field rather than by a cosmological constant, are still viable.

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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. A new look at multi-gravity and dimensional deconstruction

    hep-th 2025-01 conditional novelty 7.0 of 10

    Keeping the lapse free in deconstruction yields scalar-tensor multi-gravity, which reproduces 5D Randall-Sundrum brane cosmology equations in the continuum limit.

  2. Do Pulsar Timing Datasets Favor Massive Gravity?

    astro-ph.CO 2025-07 reject novelty 5.0 of 10

    A one-parameter massive-gravity correlation curve gives lower chi-square than the Hellings-Downs curve for current pulsar-timing data, but the parameter is fitted to the data, so the result is not a prediction.

  3. Dynamical Dark Energy Emerges from Massive Gravity

    astro-ph.CO 2025-05 conditional novelty 4.0 of 10

    Bigravity with a graviton mass near 4e-33 eV reproduces the DESI-hinted evolving dark energy and is claimed to fit combined cosmological data better than LambdaCDM.

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