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Published April 7, 2022 | Published + Accepted Version
Journal Article Open

Malaise and remedy of binary boson-star initial data

Abstract

Through numerical simulations of boson-star head-on collisions, we explore the quality of binary initial data obtained from the superposition of single-star spacetimes. Our results demonstrate that evolutions starting from a plain superposition of individual boosted boson-star spacetimes are vulnerable to significant unphysical artefacts. For equal-mass binaries, these difficulties can be overcome with a simple modification of the initial data suggested in Helfer et al (2019 Phys. Rev. D 99 044046) for collisions of oscillations. While we specifically consider massive complex scalar field boson star models of very high and low compactness, we conjecture that this vulnerability be also present in other kinds of exotic compact systems and hence needs to be addressed.

Additional Information

© 2022 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 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 26 August 2021; Revised 18 January 2022; Accepted 10 February 2022; Published 11 March 2022. We thank Andrew Tolley, Serguei Ossokine and Richard Brito for fruitful discussions. This work is supported by STFC Consolidator Grant Nos. ST/V005669/1 and ST/P000673/1, NSF-XSEDE Grant No. PHY-090003, STFC Capital Grant Nos. ST/P002307/1, ST/R002452/1, STFC Operations Grant No. ST/R00689X/1 (Project ACTP 186), PRACE Grant No. 2020225359, and DIRAC RAC13 Grant No. ACTP238. Computations were performed on the San Diego Supercomputing Center's clusters Comet and Expanse, the Texas Advanced Supercomputing Center's Stampede2, the Cambridge Service for Data Driven Discovery (CSD3) system, Durham COSMA7 system and the Juwels cluster at GCS@FZJ, Germany. TH is supported by NSF Grants No. PHY-1912550 and AST-2006538, NASA ATP Grants No. 17-ATP17-0225, 19-ATP19-0051, and 20-LPS20-0011, NSF-XSEDE Grant No. PHY-090003, and NSF Grant PHY-20043. 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 for providing HPC resources that have contributed to the research results reported within this paper. URL: https://tacc.utexas.edu [100]. Data availability statement: The data that support the findings of this study are available upon reasonable request from the authors.

Attached Files

Published - Helfer_2022_Class._Quantum_Grav._39_074001.pdf

Accepted Version - 2108.11995.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 24, 2023