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Cited by 362

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Models of non-relativistic quantum gravity: the good, the bad and the healthy

Open access
Blas, D., Pujolàs, O., Sibiryakov, S.·2011·Journal of High Energy Physics

Abstract

Hořava’s proposal for non-relativistic quantum gravity introduces a preferred time foliation of space-time which violates the local Lorentz invariance. The foliation is encoded in a dynamical scalar field which we call ‘khronon’. The dynamics of the khronon field is sensitive to the symmetries and other details of the particular implementations of the proposal. In this paper we examine several consistency issues present in three non-relativistic gravity theories: Hořava’s projectable theory, the healthy non-projectable extension, and a new extension related to ghost condensation. We find that the only model which is free from instabilities and strong coupling is the non-projectable one. We elaborate on the phenomenology of the latter model including a discussion of the couplings of the khronon to matter. In particular, we obtain the parameters of the post-Newtonian expansion in this model and show that they are compatible with current observations.

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Metadata

Authors
Blas, D., Pujolàs, O., & Sibiryakov, S.
Venue
Journal of High Energy Physics
Published
2011-04
Volume
2011
Issue
4
ISSN
1029-8479 (ISSN-L)
OpenAlex
W1966840422
Cited by
362
References
88
FWCI
23.90
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Models of non-relativistic quantum gravity: the good, the bad and the healthy. https://app.cochat.ai/papers/10.1007/jhep04(2011)018
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Blas, D., Pujolàs, O., & Sibiryakov, S. (2011). Models of non-relativistic quantum gravity: the good, the bad and the healthy. Journal of High Energy Physics. https://doi.org/10.1007/jhep04(2011)018

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.