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Gravitational wave tests of general relativity with the parameterized post-Einsteinian framework
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cornish, Neil. J. Sampson, Laura Yunes, Nicolás Pretorius, Frans |
| Copyright Year | 2011 |
| Abstract | Citation Cornish, Neil et al. " Gravitational wave tests of general relativity with the parameterized post-Einsteinian framework. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Gravitational wave astronomy has tremendous potential for studying extreme astrophysical phenomena and exploring fundamental physics. The waves produced by binary black hole mergers will provide a pristine environment in which to study strong-field dynamical gravity. Extracting detailed information about these systems requires accurate theoretical models of the gravitational wave signals. If gravity is not described by general relativity, analyses that are based on waveforms derived from Einstein's field equations could result in parameter biases and a loss of detection efficiency. A new class of ''parameterized post-Einsteinian'' waveforms has been proposed to cover this eventuality. Here, we apply the parameterized post-Einsteinian approach to simulated data from a network of advanced ground-based interferometers and from a future space-based interferometer. Bayesian inference and model selection are used to investigate parameter biases, and to determine the level at which departures from general relativity can be detected. We find that in some cases the parameter biases from assuming the wrong theory can be severe. We also find that gravitational wave observations will beat the existing bounds on deviations from general relativity derived from the orbital decay of binary pulsars by a large margin across a wide swath of parameter space. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dspace.mit.edu/openaccess-disseminate/1721.1/68663 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Bayesian network Black Hole Cornish hen basophil bound Ab:ACnc:Pt:Bld:Qn:LHR Html Link Type - copyright Inference Model selection Molecular orbital Numerical relativity Population Parameter Terms of service benefit |
| Content Type | Text |
| Resource Type | Article |
