Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published April 29, 2024 | Published
Journal Article Open

Survey of four precessing waveform models for binary black hole systems

Abstract

Angular momentum and spin precession are expected to be generic features of a significant fraction of
binary black hole systems. As such, it is essential to have waveform models that faithfully incorporate
the effects of precession. Here, we assess how well the current state-of-the-art models achieve this for
waveform strains constructed only from the ℓ = 2 multipoles. Specifically, we conduct a survey on the
faithfulness of the waveform models SEOBNRV5PHM, TEOBRESUMS, IMRPHENOMTPHM, IMRPHENOMXPHM
to the numerical relativity (NR) surrogate NRSUR7DQ4 and to NR waveforms from the SXS catalog. The
former assessment involves systems with mass ratios up to 6 and dimensionless spins up to 0.8. The latter
employs 317 short and 23 long SXS waveforms. For all cases, we use reference inclinations of zero and
90°. We find that all four models become more faithful as the mass ratio approaches unity and when the
merger-ringdown portion of the waveforms are excluded. We also uncover a correlation between the
coprecessing (2, ±2) multipole mismatches and the overall strain mismatch. We additionally find that for
high inclinations, precessing (2, ±1) multipoles that are more faithful than their (2, ±2) counterparts, and
comparable in magnitude, improve waveform faithfulness. As a side note, we show that use of uniformly
filled parameter spaces may lead to an overestimation of precessing model faithfulness. We conclude our
survey with a parameter estimation study in which we inject two precessing SXS waveforms (at low and
high masses) and recover the signal with SEOBNRV5PHM, IMRPHENOMTPHM, and IMRPHENOMXPHM. As a
bonus, we present preliminary multidimensional fits to model unfaithfulness for Bayesian model selection
in parameter estimation studies.

Copyright and License

© 2024 American Physical Society.

Acknowledgement

We thank Rossella Gamba for sharing codes and help with teobresums, Matteo Breschi for help with bajes, and Marta Colleoni for answering questions regarding imrphenomxp. We are grateful to Charlie Hoy for helping us with the troubleshooting of the seobnrv5phm PE runs and sharing the results of his validation runs using the Sciama High Performance Compute cluster which is supported by the ICG, SEPNet, and the University of Portsmouth. We are also grateful to Lorenzo Pompili for pointing out the final fix to our seobnrv5phm PE runs and sharing, in particular, the results of the heavy-mass PE injection/recovery with seobnrv5phm. This work makes use of the Black Hole Perturbation Toolkit [231] and the “pesummary”package [232]. S. A. and J. M. U. acknowledge support from the University College Dublin Ad Astra Fellowship. J. T. acknowledges support from the NASA LISA Preparatory Science Grant No. 20-LPS20-0005. We thank Niels Warburton for providing access to the “chirp2” computer, which is funded by Royal Society—Science Foundation Ireland University Research Fellowship Grant No. RGF\R1\180022. This research has made use of data, software, and/or web tools obtained from the Gravitational Wave Open Science Center [233,234], a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. We have additionally employed the computational resources of LIGO Laboratory (CIT cluster) supported by the U.S. National Science Foundation Grants No. PHY-0757058 and No. PHY-0823459. LIGO Laboratory and Advanced LIGO are funded by the United States NSF as well as the Science and Technology Facilities Council of the United Kingdom, the Max-Planck-Society, and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory, by the French Centre National de Recherche Scientifique, the Italian Istituto Nazionale di Fisica Nucleare, and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, and Spain. K. A. G. R. A. is supported by Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science in Japan; National Research Foundation and Ministry of Science and ICT in Korea; Academia Sinica and National Science and Technology Council in Taiwan.

Data Availability

The supporting data for this paper are openly available on GitHub [143]. The following software have been used for this work. The numpy [225], matplotlib [226], pandas [227,228], and seaborn [201] libraries of python. lalsuite (7.10) [203], lalinference [229], pycbc (2.0.6) [230] bilby (2.1.2) [212,213], the sxs package (v2022.5.2) [204], the scri package (2022.8.8) [208], and teobresumsv4.1.5-giotto 84b8f10 (July 6, 2023). These results were found to be in good agreement with the more recent teobresums bd3452e (September 7, 2023).

Files

PhysRevD.109.084077.pdf
Files (4.1 MB)
Name Size Download all
md5:4fa005f6cdbb41b25fa596c42d981d84
4.1 MB Preview Download

Additional details

Created:
May 1, 2024
Modified:
May 1, 2024