Abstract
Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational-wave detectors. Gravitational radiation encodes rich information about source physics; thus parameter estimation and model selection are crucial analysis steps for any detection candidate events. Detailed models of the anticipated waveforms enable inference on several parameters, such as component masses, spins, sky location and distance, that are essential for new astrophysical studies of these sources. However, accurate measurements of these parameters and discrimination of models describing the underlying physics are complicated by artifacts in the data, uncertainties in the waveform models and in the calibration of the detectors. Here we report such measurements on a selection of simulated signals added either in hardware or software to the data collected by the two LIGO instruments and the Virgo detector during their most recent joint science run, including a "blind injection" where the signal was not initially revealed to the collaboration. We exemplify the ability to extract information about the source physics on signals that cover the neutron-star and black-hole binary parameter space over the component mass range 1 M⊙-25 M⊙ and the full range of spin parameters. The cases reported in this study provide a snapshot of the status of parameter estimation in preparation for the operation of advanced detectors.
Recommended Citation
J. Aasi et al., "Parameter Estimation for Compact Binary Coalescence Signals with the First Generation Gravitational-Wave Detector Network," Physical Review D - Particles, Fields, Gravitation and Cosmology, vol. 88, no. 6, American Physical Society (APS), Sep 2013.
The definitive version is available at https://doi.org/10.1103/PhysRevD.88.062001
Department(s)
Physics
International Standard Serial Number (ISSN)
1550-7998
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2013 American Physical Society (APS), All rights reserved.
Publication Date
01 Sep 2013