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Reanalysis of LIGO black-hole coalescences with alternative prior assumptions

Gerosa, Davide and Vitale, Salvatore and Haster, Carl-Johan and Chatziioannou, Katerina and Zimmerman, Aaron (2017) Reanalysis of LIGO black-hole coalescences with alternative prior assumptions. In: Gravitational Wave Astrophysics: Early Results from Gravitational Wave Searches and Electromagnetic Counterparts. IAU Symposium Proceedings Series. Vol.13. No.338. Cambridge University Press , Cambridge, pp. 22-28. ISBN 9781107192591.

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We present a critical reanalysis of the black-hole binary coalescences detected during LIGO’s first observing run under different Bayesian prior assumptions. We summarize the main findings of Vitale et al. (2017) and show additional marginalized posterior distributions for some of the binaries’ intrinsic parameters. These findings were presented at IAU Symposium 338, held on October 16-19, 2017 in Baton Rouge, LA, USA.

Item Type:Book Section
Related URLs:
URLURL TypeDescription Paper
Gerosa, Davide0000-0002-0933-3579
Vitale, Salvatore0000-0003-2700-0767
Haster, Carl-Johan0000-0001-8040-9807
Chatziioannou, Katerina0000-0002-5833-413X
Zimmerman, Aaron0000-0002-7453-6372
Additional Information:© 2019 International Astronomical Union. Published online: 29 January 2019. D.G. is supported by NASA through Einstein Postdoctoral Fellowship Grant No. PF6-170152 by the Chandra X-ray Center, operated by the Smithsonian Astrophysical Observatory for NASA under Contract NAS8-03060.
Funding AgencyGrant Number
NASA Einstein FellowshipPF6-170152
Series Name:IAU Symposium Proceedings Series
Issue or Number:338
Record Number:CaltechAUTHORS:20190211-124222170
Persistent URL:
Official Citation:Gerosa, D., Vitale, S., Haster, C., Chatziioannou, K., & Zimmerman, A. (2017). Reanalysis of LIGO black-hole coalescences with alternative prior assumptions. Proceedings of the International Astronomical Union, 13(S338), 22-28. doi:10.1017/S1743921318003587
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:92833
Deposited By: Tony Diaz
Deposited On:12 Feb 2019 22:13
Last Modified:16 Nov 2021 03:54

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