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

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

2009-05-08

arxiv.org/abs/0905.1323v1

Class.Quant.Grav.26:204010,2009

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

11 pages, 3 figures, 3 tables. Conference proceedings for GWDAW-13, submitted for publication in CQG

Scientific paper

10.1088/0264-9381/26/20/204010

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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