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          Institute: MPI für Gravitationsphysik     Collection: Observational Relativity and Cosmology     Display Documents

ID: 436258.0, MPI für Gravitationsphysik / Observational Relativity and Cosmology
Parameter estimation for signals from compact binary inspirals injected into LIGO data
Authors:Sluys, Marc van der; Mandel, Ilya; Raymond, Vivien; Kalogera, Vicky; Röver, Christian; Christensen, Nelson
Date of Publication (YYYY-MM-DD):2009
Title of Journal:Classical and Quantum Gravity
Sequence Number of Article:204010
Review Status:not specified
Audience:Not Specified
Abstract / Description: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.
External Publication Status:published
Document Type:Article
Communicated by:Bruce Allen
Affiliations:MPI für Gravitationsphysik/Observational Relativity and Cosmology
MPI für Gravitationsphysik/Teilinstitut Hannover
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0905.1323v1.pdf  [221,00 Kb] [Comment:arXiv:0905.1323v1 [gr-qc]]  
cqg9_20_204010.pdf  [348,00 Kb]   
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