Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo

2016 Living Reviews in Relativity 513 citations

Abstract

We present a possible observing scenario for the Advanced LIGO and Advanced Virgo gravitational-wave detectors over the next decade, with the intention of providing information to the astronomy community to facilitate planning for multi-messenger astronomy with gravitational waves. We determine the expected sensitivity of the network to transient gravitational-wave signals, and study the capability of the network to determine the sky location of the source. We report our findings for gravitational-wave transients, with particular focus on gravitational-wave signals from the inspiral of binary neutron-star systems, which are considered the most promising for multi-messenger astronomy. The ability to localize the sources of the detected signals depends on the geographical distribution of the detectors and their relative sensitivity, and 90% credible regions can be as large as thousands of square degrees when only two sensitive detectors are operational. Determining the sky position of a significant fraction of detected signals to areas of 5 deg2 to 20 deg2 will require at least three detectors of sensitivity within a factor of ∼ 2 of each other and with a broad frequency bandwidth. Should the third LIGO detector be relocated to India as expected, a significant fraction of gravitational-wave signals will be localized to a few square degrees by gravitational-wave observations alone.

Keywords

Data analysisElectromagnetic counterpartsGravitational wavesGravitational-wave detectors

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Publication Info

Year
2016
Type
article
Volume
19
Issue
1
Pages
1-1
Citations
513
Access
Closed

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513
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12
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Cite This

The LIGO Scientific Collaboration, B.P. Abbott, . Virgo Collaboration et al. (2016). Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO and Advanced Virgo. Living Reviews in Relativity , 19 (1) , 1-1. https://doi.org/10.1007/lrr-2016-1

Identifiers

DOI
10.1007/lrr-2016-1
PMID
28179853
PMCID
PMC5256041

Data Quality

Data completeness: 81%