download0 view145
twitter facebook

공공누리This item is licensed Korea Open Government License

Title
Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network
Author(s)
LIGO-Virgo Scientifi강궁원
Publication Year
2013-09-04
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⊥쭯25 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.
Keyword
Parameter estimation; Gravitational wave; Binary coalescence
Journal Title
Physical review. D, Particles, fields, gravitation, and cosmology
ISSN
1550-7998
Files in This Item:
There are no files associated with this item.
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14182
Export
RIS (EndNote)
XLS (Excel)
XML

Browse