期刊
CLASSICAL AND QUANTUM GRAVITY
卷 26, 期 20, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/0264-9381/26/20/204010
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资金
- Packard Foundation Fellowship
- NSF Gravitational Physics [PHY-0653321, PHY-0553422]
- NSF MRI [PHY-0619274]
- Division Of Physics
- Direct For Mathematical & Physical Scien [653321] Funding Source: National Science Foundation
During the fifth science run of the Laser Interferometer Gravitational-Wave Observatory (LIGO), signals modelling the gravitational waves emitted by coalescing non-spinning compact-object binaries were injected into the LIGO data stream. We analysed the data segments into which such injections were made using a Bayesian approach, implemented as a Markov-chain Monte Carlo technique in our code SPINSPIRAL. This technique enables us to determine the physical parameters of such a binary inspiral, including masses and spin, following a possible detection trigger. For the first time, we publish the results of a realistic parameter-estimation analysis of waveforms embedded in real detector noise. We used both spinning and non-spinning waveform templates for the data analysis and demonstrate that the intrinsic source parameters can be estimated with an accuracy of better than 1-3% in the chirp mass and 0.02-0.05 (8-20%) in the symmetric mass ratio if non-spinning waveforms are used. We also find a bias between the injected and recovered parameters, and attribute it to the difference in the post-Newtonian orders of the waveforms used for injection and analysis.
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