Litcius/Paper detail

Numerical relativity higher order gravitational waveforms of eccentric, spinning, nonprecessing binary black hole mergers

Abhishek V. Joshi, Shawn Rosofsky, Roland Haas, E. A. Huerta

2023Physical review. D/Physical review. D.17 citationsDOI

Abstract

We use the open source, community-driven, numerical relativity software, the einstein toolkit to study the physics of eccentric, spinning, nonprecessing binary black hole mergers with mass-ratios $q={2,4,6}$, individual dimensionless spin parameters ${\ensuremath{\chi}}_{1z}=\ifmmode\pm\else\textpm\fi{}0.6$, ${\ensuremath{\chi}}_{2z}=\ifmmode\pm\else\textpm\fi{}0.3$, that include higher order gravitational wave modes $\ensuremath{\ell}\ensuremath{\le}4$, except for memory modes. Assuming stellar mass binary black hole mergers that may be detectable by the advanced LIGO detectors, we find that including modes up to $\ensuremath{\ell}=4$ increases the signal-to-noise of compact binaries between 3.5% to 35%, compared to signals that only include the $\ensuremath{\ell}=|m|=2$ mode. We use two waveform models, TEOBResumS and SEOBNRE, which incorporate spin and eccentricity corrections in the waveform dynamics, to quantify the orbital eccentricity of our numerical relativity catalog in a gauge-invariant manner through fitting factor calculations. Our findings indicate that the inclusion of higher order wave modes has a measurable effect in the recovery of moderately and highly eccentric black hole mergers, and thus it is essential to develop waveform models and signal processing tools that accurately describe the physics of these astrophysical sources.

Topics & Concepts

PhysicsBinary black holeNumerical relativityGravitational waveLIGOWaveformMass ratioBlack hole (networking)Eccentricity (behavior)AstrophysicsGeneral relativityTheory of relativitySpin-flipQuasinormal modeDimensionless quantityBinary numberClassical mechanicsQuantum mechanicsAccretion (finance)Routing protocolPolitical scienceLink-state routing protocolMathematicsLawVoltageComputer networkComputer scienceRouting (electronic design automation)ArithmeticPulsars and Gravitational Waves ResearchAstrophysical Phenomena and ObservationsGamma-ray bursts and supernovae