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Title: Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers

Authors:
; ; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1556843
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Physical Review D
Additional Journal Information:
Journal Name: Physical Review D Journal Volume: 100 Journal Issue: 4; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Rebei, Adam, Huerta, E. A., Wang, Sibo, Habib, Sarah, Haas, Roland, Johnson, Daniel, and George, Daniel. Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers. United States: N. p., 2019. Web. doi:10.1103/PhysRevD.100.044025.
Rebei, Adam, Huerta, E. A., Wang, Sibo, Habib, Sarah, Haas, Roland, Johnson, Daniel, & George, Daniel. Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers. United States. doi:10.1103/PhysRevD.100.044025.
Rebei, Adam, Huerta, E. A., Wang, Sibo, Habib, Sarah, Haas, Roland, Johnson, Daniel, and George, Daniel. Mon . "Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers". United States. doi:10.1103/PhysRevD.100.044025.
@article{osti_1556843,
title = {Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers},
author = {Rebei, Adam and Huerta, E. A. and Wang, Sibo and Habib, Sarah and Haas, Roland and Johnson, Daniel and George, Daniel},
abstractNote = {},
doi = {10.1103/PhysRevD.100.044025},
journal = {Physical Review D},
number = 4,
volume = 100,
place = {United States},
year = {2019},
month = {8}
}

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