Model comparison from LIGO-Virgo data on GW170817's binary components and consequences for the merger remnant

Files

hdl_129074.pdf (2.97 MB)
  (Published version)

Date

2020

Authors

Abbott, B.P.
Abbott, R.
Abbott, T.D.
Abraham, S.
Acernese, F.
Ackley, K.
Adams, C.
Adya, V.B.
Affeldt, C.
Agathos, M.

Editors

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Journal article

Citation

Classical and Quantum Gravity, 2020; 37(4):045006-1-045006-43

Statement of Responsibility

B. P. Abbott ... D Beniwal ... D D Brown ... H Cao ... A A Ciobanu ... C Ingram ... W Kim ... J Munch ... S Ng ... D J Ottaway ... Peter Veitch ... et al. (The LIGO Scientific Collaboration and The Virgo Collaboration)

Conference Name

Abstract

GW170817 is the very first observation of gravitational waves originating from the coalescence of two compact objects in the mass range of neutron stars, accompanied by electromagnetic counterparts, and offers an opportunity to directly probe the internal structure of neutron stars. We perform Bayesian model selection on a wide range of theoretical predictions for the neutron star equation of state. For the binary neutron star hypothesis, we find that we cannot rule out the majority of theoretical models considered. In addition, the gravitational-wave data alone does not rule out the possibility that one or both objects were low-mass black holes. We discuss the possible outcomes in the case of a binary neutron star merger, finding that all scenarios from prompt collapse to long-lived or even stable remnants are possible. For long-lived remnants, we place an upper limit of 1.9 kHz on the rotation rate. If a black hole was formed any time after merger and the coalescing stars were slowly rotating, then the maximum baryonic mass of non-rotating neutron stars is at most 3.05M and three equations of state considered here can be ruled out. We obtain a tighter limit of 2.67M for the case that the merger results in a hypermassive neutron star.

School/Discipline

Dissertation Note

Provenance

Description

Access Status

Rights

© 2020 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

License

Call number

Persistent link to this record