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Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo

The Astrophysical Journal Letters · 2019 · Vol. 882(2) · pp. L24–L24
B. P. AbbottR. AbbottT. D. AbbottS. AbrahamF. AcerneseK. AckleyC. AdamsR. X. AdhikariV. B. AdyaC. AffeldtM. AgathosK. AgatsumaN. AggarwalO. D. AguiarL. AielloA. AinP. AjithG. AllenA. AlloccaM. A. AloyP. A. AltinA. AmatoA. AnanyevaS. B. AndersonW. G. AndersonS. V. AngelovaS. AntierS. AppertK. AraiM. C. ArayaJ. S. AreedaM. ArèneN. ArnaudK. G. ArunS. AscenziG. AshtonS. M. AstonP. AstoneF. AubinP. AufmuthK. AultONealC. AustinV. AvendanoA. Avila-AlvarezS. BabakP. BaconF. BadaraccoM. K. M. BaderS. BaeP. T. BakerF. BaldacciniG. BallardinS. W. BallmerS. BanagiriJ. C. BarayogaS. E. BarclayB. C. BarishD. BarkerK. BarkettS. BarnumF. BaroneB. BarrL. BarsottiM. BarsugliaD. BartaJ. BartlettI. BartosR. BassiriA. BastiM. BawajJ. C. BayleyM. BazzanB. BécsyM. BejgerI. BelahceneA. S. BellD. BeniwalB. K. BergerG. BergmannS. BernuzziJ. J. BeroC. P. L. BerryD. BersanettiA. BertoliniJ. BetzwieserR. BhandareJ. BidlerI. A. BilenkoS. A. BilgiliG. BillingsleyJ. BirchI. A. BirneyO. BirnholtzS. BiscansS. 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Abstract

Abstract We present results on the mass, spin, and redshift distributions with phenomenological population models using the 10 binary black hole (BBH) mergers detected in the first and second observing runs completed by Advanced LIGO and Advanced Virgo. We constrain properties of the BBH mass spectrum using models with a range of parameterizations of the BBH mass and spin distributions. We find that the mass distribution of the more massive BH in such binaries is well approximated by models with no more than 1% of BHs more massive than 45 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msub> <mml:mrow> <mml:mi>M</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>⊙</mml:mo> </mml:mrow> </mml:msub> </mml:math> and a power-law index of α = <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msubsup> <mml:mrow> <mml:mn>1.3</mml:mn> </mml:mrow> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>1.7</mml:mn> </mml:mrow> <mml:mrow> <mml:mo>+</mml:mo> <mml:mn>1.4</mml:mn> </mml:mrow> </mml:msubsup> </mml:math> (90% credibility). We also show that BBHs are unlikely to be composed of BHs with large spins aligned to the orbital angular momentum. Modeling the evolution of the BBH merger rate with redshift, we show that it is flat or increasing with redshift with 93% probability. Marginalizing over uncertainties in the BBH population, we find robust estimates of the BBH merger rate density of R = <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msubsup> <mml:mrow> <mml:mn>53.2</mml:mn> </mml:mrow> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>28.2</mml:mn> </mml:mrow> <mml:mrow> <mml:mo>+</mml:mo> <mml:mn>55.8</mml:mn> </mml:mrow> </mml:msubsup> </mml:math> Gpc −3 yr −1 (90% credibility). As the BBH catalog grows in future observing runs, we expect that uncertainties in the population model parameters will shrink, potentially providing insights into the formation of BHs via supernovae, binary interactions of massive stars, stellar cluster dynamics, and the formation history of BHs across cosmic time.

Pulsars and Gravitational Waves ResearchGamma-ray bursts and supernovaeAstrophysical Phenomena and ObservationsLIGOBinary black holeRedshiftPopulationSpinsBinary numberMass distribution

Funding

  • National Science Foundation
  • Kavli Foundation
  • Canadian Institute for Advanced Research
  • Institut des Origines de Lyon
  • Leverhulme Trust
  • Royal Society
  • Scottish Funding Council
  • Scottish Universities Physics Alliance
  • European Commission
  • National Research Foundation
  • Council of Scientific and Industrial Research, India
  • Abdus Salam International Centre for Theoretical Physics
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
  • National Natural Science Foundation of China
  • Russian Foundation for Basic Research
  • Industry Canada
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek
  • Generalitat Valenciana
  • Hungarian Scientific Research Fund
  • National Research Foundation of Korea
  • Ministry of Education, India
  • Centre National de la Recherche Scientifique
  • Russian Science Foundation
  • Ministero dello Sviluppo Economico
  • Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
  • Istituto Nazionale di Fisica Nucleare
  • ICTP South American Institute for Fundamental Research
  • Govern de les Illes Balears
  • Engineering and Physical Sciences Research Council
  • Science and Technology Facilities Council
  • Australian Research Council
  • Science and Engineering Research Board
  • European Regional Development Fund
  • Agencia Estatal de Investigación
  • National Research, Development and Innovation Office
  • Division of Human Resource Development
Citations
733
FWCI
75.46
field-weighted impact
References
228
Percentile
100%
vs. same field & year
Citations per year
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