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The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries

We explore a potential LISA-Taiji network to fast and accurately localize the coalescing massive black hole binaries. For an equal-mass binary located at redshift of 1 with a total intrinsic mass of 10(5)M(⊙), the LISA-Taiji network may achieve almost four orders of magnitude improvement on the sour...

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Detalles Bibliográficos
Autores principales: Ruan, Wen-Hong, Liu, Chang, Guo, Zong-Kuan, Wu, Yue-Liang, Cai, Rong-Gen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877385/
https://www.ncbi.nlm.nih.gov/pubmed/33623919
http://dx.doi.org/10.34133/2021/6014164
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author Ruan, Wen-Hong
Liu, Chang
Guo, Zong-Kuan
Wu, Yue-Liang
Cai, Rong-Gen
author_facet Ruan, Wen-Hong
Liu, Chang
Guo, Zong-Kuan
Wu, Yue-Liang
Cai, Rong-Gen
author_sort Ruan, Wen-Hong
collection PubMed
description We explore a potential LISA-Taiji network to fast and accurately localize the coalescing massive black hole binaries. For an equal-mass binary located at redshift of 1 with a total intrinsic mass of 10(5)M(⊙), the LISA-Taiji network may achieve almost four orders of magnitude improvement on the source localization region compared to an individual detector. The precision measurement of sky location from the gravitational-wave signal may completely identify the host galaxy with low redshifts prior to the final black hole merger. Such identification of the host galaxy is vital for the follow-up variability in electromagnetic emissions of the circumbinary disc when the binary merges to a new black hole and enables the coalescing massive black hole binaries to be used as a standard siren to probe the expansion history of the Universe.
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spelling pubmed-78773852021-02-22 The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries Ruan, Wen-Hong Liu, Chang Guo, Zong-Kuan Wu, Yue-Liang Cai, Rong-Gen Research (Wash D C) Research Article We explore a potential LISA-Taiji network to fast and accurately localize the coalescing massive black hole binaries. For an equal-mass binary located at redshift of 1 with a total intrinsic mass of 10(5)M(⊙), the LISA-Taiji network may achieve almost four orders of magnitude improvement on the source localization region compared to an individual detector. The precision measurement of sky location from the gravitational-wave signal may completely identify the host galaxy with low redshifts prior to the final black hole merger. Such identification of the host galaxy is vital for the follow-up variability in electromagnetic emissions of the circumbinary disc when the binary merges to a new black hole and enables the coalescing massive black hole binaries to be used as a standard siren to probe the expansion history of the Universe. AAAS 2021-01-06 /pmc/articles/PMC7877385/ /pubmed/33623919 http://dx.doi.org/10.34133/2021/6014164 Text en Copyright © 2021 Wen-Hong Ruan et al. https://creativecommons.org/licenses/by/4.0/ Exclusive Licensee Science and Technology Review Publishing House. Distributed under a Creative Commons Attribution License (CC BY 4.0).
spellingShingle Research Article
Ruan, Wen-Hong
Liu, Chang
Guo, Zong-Kuan
Wu, Yue-Liang
Cai, Rong-Gen
The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries
title The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries
title_full The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries
title_fullStr The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries
title_full_unstemmed The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries
title_short The LISA-Taiji Network: Precision Localization of Coalescing Massive Black Hole Binaries
title_sort lisa-taiji network: precision localization of coalescing massive black hole binaries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877385/
https://www.ncbi.nlm.nih.gov/pubmed/33623919
http://dx.doi.org/10.34133/2021/6014164
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