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Artikel ; Online: Evidence of Large Recoil Velocity from a Black Hole Merger Signal.

Varma, Vijay / Biscoveanu, Sylvia / Islam, Tousif / Shaik, Feroz H / Haster, Carl-Johan / Isi, Maximiliano / Farr, Will M / Field, Scott E / Vitale, Salvatore

Physical review letters

2022  Band 128, Heft 19, Seite(n) 191102

Abstract: The final black hole left behind after a binary black hole merger can attain a recoil velocity, or a "kick," reaching values up to 5000  km/s. This phenomenon has important implications for gravitational wave astronomy, black hole formation scenarios, ... ...

Abstract The final black hole left behind after a binary black hole merger can attain a recoil velocity, or a "kick," reaching values up to 5000  km/s. This phenomenon has important implications for gravitational wave astronomy, black hole formation scenarios, testing general relativity, and galaxy evolution. We consider the gravitational wave signal from the binary black hole merger GW200129_065458 (henceforth referred to as GW200129), which has been shown to exhibit strong evidence of orbital precession. Using numerical relativity surrogate models, we constrain the kick velocity of GW200129 to v_{f}∼1542_{-1098}^{+747}  km/s or v_{f}≳698  km/s (one-sided limit), at 90% credibility. This marks the first identification of a large kick velocity for an individual gravitational wave event. Given the kick velocity of GW200129, we estimate that there is a less than 0.48% (7.7%) probability that the remnant black hole after the merger would be retained by globular (nuclear star) clusters. Finally, we show that kick effects are not expected to cause biases in ringdown tests of general relativity for this event, although this may change in the future with improved detectors.
Sprache Englisch
Erscheinungsdatum 2022-05-27
Erscheinungsland United States
Dokumenttyp Journal Article
ZDB-ID 208853-8
ISSN 1079-7114 ; 0031-9007
ISSN (online) 1079-7114
ISSN 0031-9007
DOI 10.1103/PhysRevLett.128.191102
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Z 4' 58/153: Hefte anzeigen
Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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