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Journal Article

Parameter estimation for signals from compact binary inspirals injected into LIGO data


Röver,  Christian
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Sluys, M. v. d., Mandel, I., Raymond, V., Kalogera, V., Röver, C., & Christensen, N. (2009). Parameter estimation for signals from compact binary inspirals injected into LIGO data. Classical and Quantum Gravity, 26: 204010. doi:10.1088/0264-9381/26/20/204010.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-4695-F
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.