LIGO Document P1200021-v13

Parameter estimation for compact binary coalescence signals with the first generation gravitational wave detector network

Document #:
LIGO-P1200021-v13
Document type:
P - Publications
Submitted by:
Vivien Raymond Send email
Updated by:
Vivien Raymond Send email
Document Created:
27 Feb 2012, 08:52
Contents Revised:
30 Apr 2013, 09:09
Metadata Revised:
30 Apr 2013, 09:09
Other Versions:
LIGO-P1200021-v12
26 Apr 2013, 18:00
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 parameter space over the individual mass range 1 M⊙ − 25 M⊙ and the full range of spin parameters. The cases reported in this study provide a snap-shot of the status of parameter estimation in preparation for the operation of advanced detectors.
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  • paper (s6pe.pdf, 2.4 MB)
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Publication Information:
arXiv posting:
http://arxiv.org/abs/1304.1775

Public science summary:
http://www.ligo.org/science/Publication-S6PE/index.php

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