Unequal-mass boson-star binaries: initial data and merger dynamics

Creators: Evstafyeva, Tamara; Sperhake, Ulrich; Helfer, Thomas; Croft, Robin; Radia, Miren; Ge, Bo-Xuan; Lim, Eugene A.

Abstract

We present a generalisation of the curative initial data construction derived for equal-mass compact binaries in Helferet al(2019 Phys. Rev. D 99 044046; 2022 Class. Quantum Grav. 39 074001) to arbitrary mass ratios. We demonstrate how these improved initial data avoid substantial spurious artifacts in the collision dynamics of unequal-mass boson-star binaries in the same way as has previously been achieved with the simpler method restricted to the equal-mass case. We employ the improved initial data to explore in detail the impact of phase offsets in the coalescence of equal- and unequal-mass boson star binaries.

Additional Information

© 2023 The Author(s). Published by IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. RC and TE are supported by the Centre for Doctoral Training (CDT) at the University of Cambridge funded through STFC. TH is supported by NSF Grant Nos. AST-2006538, PHY-2207502, PHY-090003 and PHY20043, and NASA Grant Nos. 19-ATP19-0051, 20-LPS20-0011 and 21-ATP21-0010. This work has been supported by STFC Research Grant No. ST/V005669/1 'Probing Fundamental Physics with Gravitational-Wave Observations'. We acknowledge support by the DiRAC Project ACTP284 from the Cambridge Service for Data Driven Discovery (CSD3) system at the University of Cambridge and Cosma7 and 8 of Durham University through STFC capital Grant Nos. ST/P002307/1 and ST/R002452/1, and STFC operations Grant No. ST/R00689X/1. We also acknowledge support by the DiRAC project grant DiRAC Project ACTP238 for use of Cosma7 and DiAL3. This research project was conducted using computational resources at the Maryland Advanced Research Computing Center (MARCC). The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin and the San Diego Supercomputer Center for providing HPC resources that have contributed to the research results reported within this paper through NSF Grant No. PHY-090003. URLs: http://www.tacc.utexas.edu, https://www.sdsc.edu/. Data availability statement. The data that support the findings of this study are available upon reasonable request from the authors.

Attached Files

Published - Evstafyeva_2023_Class._Quantum_Grav._40_085009.pdf

Files

Evstafyeva_2023_Class._Quantum_Grav._40_085009.pdf

Files (1.8 MB)

Name	Size	Download all
Evstafyeva_2023_Class._Quantum_Grav._40_085009.pdf md5:38f06d1e7341669ae72c9ee55cff6d02	1.8 MB	Preview Download

Additional details

	All versions	This version
Views	0	0
Downloads	0	0
Data volume	0 Bytes	0 Bytes