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Published November 10, 2021 | Accepted Version + Published
Journal Article Open

Implications of Eccentric Observations on Binary Black Hole Formation Channels

Abstract

Orbital eccentricity is one of the most robust discriminators for distinguishing between dynamical and isolated formation scenarios of binary black hole mergers using gravitational-wave observatories such as LIGO and Virgo. Using state-of-the-art cluster models, we show how selection effects impact the detectable distribution of eccentric mergers from clusters. We show that the observation (or lack thereof) of eccentric binary black hole mergers can significantly constrain the fraction of detectable systems that originate from dynamical environments, such as dense star clusters. After roughly 150 observations, observing no eccentric binary signals would indicate that clusters cannot make up the majority of the merging binary black hole population in the local universe (95% credibility). However, if dense star clusters dominate the rate of eccentric mergers and a single system is confirmed to be measurably eccentric in the first and second gravitational-wave transient catalogs, clusters must account for at least 14% of detectable binary black hole mergers. The constraints on the fraction of detectable systems from dense star clusters become significantly tighter as the number of eccentric observations grows and will be constrained to within 0.5 dex once 10 eccentric binary black holes are observed.

Additional Information

© 2021. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2021 September 23; revised 2021 October 15; accepted 2021 October 24; published 2021 November 11. We thank Rossella Gamba for useful comments on this manuscript, Carl Rodriguez for assistance in computing the relative weights for the CMC cluster models, Fabio Antonini and Mark Gieles for interesting discussions regarding uncertainties in initial cluster densities, Daniel Holz for enlightening discussions, and Alessandro Nagar, Sebastiano Bernuzzi, and Piero Rettegno for help with and development of the TEOBResumS waveform model. We also thank the anonymous referee, whose comments and suggestions improved this manuscript. Support for this work and for M.Z. was provided by NASA through NASA Hubble Fellowship grant HST-HF2-51474.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. K.K. is supported by an NSF Astronomy and Astrophysics Postdoctoral Fellowship under award AST-2001751. E.T. and P.D.L. are supported through Australian Research Council (ARC) Centre of Excellence CE170100004. P.D.L. is supported through ARC Future Fellowship FT160100112 and ARC Discovery project DP180103155. This work used computing resources at CIERA funded by NSF grant No. PHY-1726951 and resources and staff provided by the Quest high-performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. Software: Astropy (Robitaille et al. 2013; Price-Whelan et al. 2018); iPython (Pérez & Granger 2007); Matplotlib (Hunter 2007); NumPy (Oliphant 2006; Van Der Walt et al. 2011); Pandas (McKinney 2010); PyCBC (Nitz et al. 2019); SciPy (Virtanen et al. 2020); TEOBResumS (Nagar et al. 2018).

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Published - Zevin_2021_ApJL_921_L43.pdf

Accepted Version - 2106.09042.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023