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Multiband gravitational-wave event rates and stellar physics

Gerosa, Davide and Ma, Sizheng and Wong, Kaze W. K. and Berti, Emanuele and O’Shaughnessy, Richard and Chen, Yanbei and Belczynski, Krzysztof (2019) Multiband gravitational-wave event rates and stellar physics. Physical Review D, 99 (10). Art. No. 103004. ISSN 2470-0010.

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Joint gravitational-wave detections of stellar-mass black-hole binaries by ground- and space-based observatories will provide unprecedented opportunities for fundamental physics and astronomy. We present a semianalytic method to estimate multiband event rates by combining selection effects of ground-based interferometers (like LIGO/Virgo) and space missions (like LISA). We forecast the expected number of multiband detections first by using information from current LIGO/Virgo data, and then through population synthesis simulations of binary stars. We estimate that few to tens of LISA detections can be used to predict mergers detectable on the ground. Conversely, hundreds of events could potentially be extracted from the LISA data stream using prior information from ground detections. In general, the merger signal of binaries observable by LISA is strong enough to be unambiguously identified by both current and future ground-based detectors. Therefore third-generation detectors will not increase the number of multiband detections compared to LIGO/Virgo. We use population synthesis simulations of isolated binary stars to explore some of the stellar physics that could be constrained with multiband events, and we show that specific formation pathways might be overrepresented in multiband events compared to ground-only detections.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper ItemData
Gerosa, Davide0000-0002-0933-3579
Ma, Sizheng0000-0002-4645-453X
Wong, Kaze W. K.0000-0001-8432-7788
Berti, Emanuele0000-0003-0751-5130
O’Shaughnessy, Richard0000-0001-5832-8517
Chen, Yanbei0000-0002-9730-9463
Additional Information:© 2019 American Physical Society. Received 31 January 2019; published 13 May 2019. Data to reproduce results of this paper are publicly available at [47]. We thank Baoyi Chen, Ron Tso, Chris Moore, Antoine Klein, and Alberto Vecchio for discussions. We thank Robson et al. [41] for publicly sharing their codes to compute LISA SNRs and Chen et al. [35] for publicly sharing their code to compute redshifted volumes, which was used for benchmarking. Calculations of p_(det) are performed with the GWDET [39] code which makes use of PYCBC [75] and LAL[76]. The distributions used in Sec. IV are publicly available at [47], and are obtained with the STARTRACK [48] and PRECESSION [51] codes. D. G. is supported by NASA through Einstein Postdoctoral Fellowship Grant No. PF6-170152 awarded by the Chandra X-ray Center, operated by the Smithsonian Astrophysical Observatory for NASA under Contract No. NAS8-03060. E. B. and K. W. K. W. are supported by NSF Grants No. PHY-1841464, No. AST-1841358, No. NSF-XSEDE, No. PHY-090003, and NASA ATP Grant No. 17-ATP17-0225. R.O’S. is supported by NSF Grants No. PHY-1707965 and No. PHY-1607520. This work has received funding from the European Union’s H2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 690904. K. B. acknowledges partial support from the Polish National Science Center (NCN) grants OPUS (2015/19/B/ST9/01099) and Maestro (2015/18/A/ST9/00746). The authors would like to acknowledge networking support by the European COST Action CA16104. Computational work was performed on Caltech cluster Wheeler supported by the Sherman Fairchild Foundation and Caltech, on the University of Birmingham’s BlueBEAR cluster, and at the Maryland Advanced Research Computing Center (MARCC).
Group:TAPIR, Astronomy Department
Funding AgencyGrant Number
NASA Einstein FellowshipPF6-170152
Marie Curie Fellowship690904
National Science Centre (Poland)2015/19/B/ST9/01099
National Science Centre (Poland)2015/18/A/ST9/00746
European Cooperation in Science and TechnologyCA16104
Sherman Fairchild FoundationUNSPECIFIED
Issue or Number:10
Record Number:CaltechAUTHORS:20190513-144736710
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95449
Deposited By: Tony Diaz
Deposited On:13 May 2019 21:58
Last Modified:16 Dec 2019 21:18

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