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Cited by 570

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Gravitational Waves from the Sound of a First Order Phase Transition

Open access
Hindmarsh, Mark, Huber, Stephan J., Rummukainen, Kari, Weir, David J.·2014·Physical Review Letters

Abstract

We report on the first three-dimensional numerical simulations of first-order phase transitions in the early Universe to include the cosmic fluid as well as the scalar field order parameter. We calculate the gravitational wave (GW) spectrum resulting from the nucleation, expansion, and collision of bubbles of the low-temperature phase, for phase transition strengths and bubble wall velocities covering many cases of interest. We find that the compression waves in the fluid continue to be a source of GWs long after the bubbles have merged, a new effect not taken properly into account in previous modeling of the GW source. For a wide range of models, the main source of the GWs produced by a phase transition is, therefore, the sound the bubbles make.

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Crossref · 10.1103/physrevlett.112.041301

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Metadata

Authors
Hindmarsh, M., Huber, S. J., Rummukainen, K., & Weir, D. J.
Venue
Physical Review Letters
Published
2014-01-27
Volume
112
Issue
4
Pages
041301-041301
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2001413839
Cited by
570
References
4
FWCI
12.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Gravitational Waves from the Sound of a First Order Phase Transition. https://app.cochat.ai/papers/10.1103/physrevlett.112.041301
The paper
Hindmarsh, M., Huber, S. J., Rummukainen, K., & Weir, D. J. (2014). Gravitational Waves from the Sound of a First Order Phase Transition. Physical Review Letters. https://doi.org/10.1103/physrevlett.112.041301

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.