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Equation of State Constraints from the Threshold Binary Mass for Prompt Collapse of Neutron Star Mergers

Bauswein, Andreas and Blacker, Sebastian and Vijayan, Vimal and Stergioulas, Nikolaos and Chatziioannou, Katerina and Clark, James A. and Bastian, Niels-Uwe F. and Blaschke, David B. and Cierniak, Mateusz and Fischer, Tobias (2020) Equation of State Constraints from the Threshold Binary Mass for Prompt Collapse of Neutron Star Mergers. Physical Review Letters, 125 (14). Art. No. 141103. ISSN 0031-9007. doi:10.1103/PhysRevLett.125.141103. https://resolver.caltech.edu/CaltechAUTHORS:20200729-102150773

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Abstract

Using hydrodynamical simulations for a large set of high-density matter equations of state (EOSs), we systematically determine the threshold mass M_(thres) for prompt black-hole formation in equal-mass and asymmetric neutron star (NS) mergers. We devise the so far most direct, general, and accurate method to determine the unknown maximum mass of nonrotating NSs from merger observations revealing M_(thres). Considering hybrid EOSs with hadron-quark phase transition, we identify a new, observable signature of quark matter in NS mergers. Furthermore, our findings have direct applications in gravitational wave searches, kilonova interpretations, and multimessenger constraints on NS properties.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/PhysRevLett.125.141103DOIArticle
https://arxiv.org/abs/2004.00846arXivDiscussion Paper
ORCID:
AuthorORCID
Bauswein, Andreas0000-0001-6798-3572
Blacker, Sebastian0000-0002-1892-9032
Stergioulas, Nikolaos0000-0002-5490-5302
Chatziioannou, Katerina0000-0002-5833-413X
Bastian, Niels-Uwe F.0000-0001-9793-240X
Blaschke, David B.0000-0002-8399-5183
Fischer, Tobias0000-0003-2479-344X
Additional Information:© 2020 American Physical Society. Received 1 April 2020; revised 15 May 2020; accepted 25 August 2020; published 30 September 2020. We thank G. Martinez-Pinedo and H.-T. Janka for helpful discussions. We thank C. Constantinou, M. Prakash, A. Schneider, and J. Smith for help with their EOS tables. A. B. acknowledges support by the European Research Council under the European Union’s Horizon 2020 research and innovation programme under Grant No. 759253. A. B. and S. B. acknowledge support by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)-Project-ID 279384907-SFB 1245. A. B. and V. V. acknowledge support by DFG-Project-ID 138713538-SFB 881 (“The Milky Way System,” subproject A10). D. B. B. and T. F. acknowledge support from the Polish National Science Center (NCN) under Grant No. 2019/33/B/ST9/03059. T. F. acknowledges support from NCN under Grant No. UMO-2016/23/B/ST2/00720. N.-U. F. B. acknowledges support from NCN under Grant No. 2019/32/C/ST2/00556. N. S. is supported by the ARIS facility of GRNET in Athens (SIMGRAV, SIMDIFF, and BNSMERGE allocations) and the “Aristoteles Cluster” at AUTh, as well as by the COST actions CA16214 “PHAROS,” CA16104 “GWVerse,” CA17137 “G2Net,” and CA18108 “QG-MM.”
Funders:
Funding AgencyGrant Number
European Research Council (ERC)759253
Deutsche Forschungsgemeinschaft (DFG)279384907
Deutsche Forschungsgemeinschaft (DFG)SFB 1245
Deutsche Forschungsgemeinschaft (DFG)138713538
Deutsche Forschungsgemeinschaft (DFG)SFB 881
National Science Centre (Poland)2019/33/B/ST9/03059
National Science Centre (Poland)UMO-2016/23/B/ST2/00720
National Science Centre (Poland)2019/32/C/ST2/00556
National Infrastructures for Research and Technology (GRNET)UNSPECIFIED
European Cooperation in Science and Technology (COST)CA16214
European Cooperation in Science and Technology (COST)CA16104
European Cooperation in Science and Technology (COST)CA17137
European Cooperation in Science and Technology (COST)CA18108
Issue or Number:14
Classification Code:PACS: 04.30.Tv, 26.60.Kp, 26.60Dd, 97.60.Jd
DOI:10.1103/PhysRevLett.125.141103
Record Number:CaltechAUTHORS:20200729-102150773
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200729-102150773
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104636
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:29 Jul 2020 17:32
Last Modified:16 Nov 2021 18:33

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