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Cited by 182

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Cosmic microwave background fluctuations from gravitational waves: An analytic approach

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Pritchard, Jonathan R., Kamionkowski, Marc·2005·Annals of Physics

Abstract

Abstract We develop an analytic approach to calculation of the temperature and polarisation power spectra of the cosmic microwave background due to inflationary gravitational waves. This approach complements the more precise numerical results by providing insight into the physical origins of the features in the power spectra. We explore the use of analytic approximations for the gravitational-wave evolution, making use of the WKB approach to handle the radiation-matter transition. In the process, we describe scaling relations for the temperature and polarisation power spectra. We illustrate the dependence of the amplitude, shape, and peak locations on the details of recombination, the gravitational-wave power spectrum, and the cosmological parameters, and explain the origin of the peak locations in the temperature and polarisation power spectra. The decline in power on small scales in the polarisation power spectra is discussed in terms of phase-damping. In an appendix we detail numerical techniques for integrating the gravitational-wave evolution in the presence of anisotropic stress from free-streaming neutrinos.

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Metadata

Authors
Pritchard, J. R., & Kamionkowski, M.
Venue
Annals of Physics
Publisher
Elsevier BV
Published
2005-07
Volume
318
Issue
1
Pages
2-36
ISSN
0003-4916 (ISSN-L)
OpenAlex
W2148659656
Cited by
182
References
5
FWCI
6.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cosmic microwave background fluctuations from gravitational waves: An analytic approach. https://app.cochat.ai/papers/10.1016/j.aop.2005.03.005
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Pritchard, J. R., & Kamionkowski, M. (2005). Cosmic microwave background fluctuations from gravitational waves: An analytic approach. Annals of Physics. https://doi.org/10.1016/j.aop.2005.03.005

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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.