Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published November 17, 2016 | Submitted
Journal Article Open

Initial data for black hole–neutron star binaries, with rotating stars

Abstract

The coalescence of a neutron star with a black hole is a primary science target of ground-based gravitational wave detectors. Constraining or measuring the neutron star spin directly from gravitational wave observations requires knowledge of the dependence of the emission properties of these systems on the neutron star spin. This paper lays foundations for this task, by developing a numerical method to construct initial data for black hole–neutron star binaries with arbitrary spin on the neutron star. We demonstrate the robustness of the code by constructing initial-data sets in large regions of the parameter space. In addition to varying the neutron star spin-magnitude and spin-direction, we also explore neutron star compactness, mass-ratio, black hole spin, and black hole spin-direction. Specifically, we are able to construct initial data sets with neutron stars spinning near centrifugal break-up, and with black hole spins as large as S_(BH) / M_(BH)^2 = 0.99.

Additional Information

© 2016 IOP Publishing Ltd. Received 27 July 2016, revised 5 September 2016. Accepted for publication 20 September 2016. Published 25 October 2016. We gratefully acknowledge support for this research at Cornell and Caltech from the Sherman Fairchild Foundation and NSF grants PHY-1306125, PHY-1404569, AST-1333520, and AST-1333129, and at CITA from NSERC of Canada, the Canada Research Chairs Program, and the Canadian Institute for Advanced Research. Calculations were performed at the GPC supercomputer at the SciNet HPC Consortium [73]; SciNet is funded by: the Canada Foundation for Innovation (CFI) under the auspices of Compute Canada; the Government of Ontario; Ontario Research Fund (ORF)—Research Excellence; and the University of Toronto.

Attached Files

Submitted - 1607.07962v1.pdf

Files

1607.07962v1.pdf
Files (1.1 MB)
Name Size Download all
md5:cfe3029ce7a96cd49dbe07c976f9bf6a
1.1 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 23, 2023