Reassessing candidate eccentric binary black holes: Results with a model including higher-order modes

ORAL

Abstract

The detection of orbital eccentricity for a binary black hole system via gravitational waves is a key signature to distinguish between the possible binary origins. The identification of eccentricity has been difficult so far due to the limited availability of eccentric gravitational waveforms over the full range of black hole masses and eccentricities. For the first time using the TEOBResumSGeneral model, we have evaluated the eccentricity of 5 black hole mergers detected by the LIGO and Virgo observatories. This model accounts for large eccentricities and incorporates higher-order gravitational emission critical to model emission from highly eccentric orbits. The binaries have been selected due to previous hints of eccentricity or due to their unusual mass and spin. In this talk, we will present our findings and provide an update on recent work done on events from the O2 and O3 observing runs.

*I.B., V.G., and S.B. acknowledges the support of the National Science Foundation under grants PHY-1911796 and PHY-2110060, and the Alfred P. Sloan Foundation. HLI, JL, AJ, RN, DS, and RV thanks NSF PHY-2114581 and XSEDE TG-PHY120016. G.V acknowledges the support of the National Science Foundation under grant PHY-2207728. ROS is supported by NSF PHY2012057, PHY-1912632, and AST-1909534.

Publication: arXiv:2208.01766

Presenters

  • Hector L Iglesias

    • University of Texas at Austin

Authors

  • Hector L Iglesias

    • University of Texas at Austin
  • Jacob A Lange

    • University of Texas at Austin
  • Imre Bartos

    • University of Florida
  • Shubhagata Bhaumik

    • University of Florida
  • Rossella Gamba

    • Friedrich Schiller University Jena
  • Gayathri Vivekananthaswamy

    • University of Florida
  • Aasim Z Jan

    • University of Texas at Austin
  • Ryan Nowicki

    • University of Texas at Austin
  • Richard O'Shaughnessy

    • Rochester Institute of Technology
  • Deirdre M Shoemaker

    • University of Texas at Austin
  • Raghav Venkataramanan

    • University of Texas at Austin
  • Katelyn Wagner

    • Rochester Institute of Technology