Post-Newtonian theory-inspired framework for characterizing eccentricity in gravitational waveforms
Creators
Abstract
Characterizing eccentricity in gravitational waveforms in a consistent manner is crucial to facilitate parameter estimation, astrophysical population studies, as well as searches for these rare systems. We present a framework to characterize eccentricity directly from gravitational waveforms for nonprecessing eccentric binary black hole mergers using common modulations that eccentricity induces in all spherical harmonic modes of the signals. Our framework is in the spirit of existing methods that use frequency modulations in the waveforms, but we refine the approach by connecting it with state-of-the-art post-Newtonian calculations of the time evolution of the eccentricity. Using 39 numerical relativity (NR) simulations from the SXS and RIT catalogs, as well as waveforms obtained from the post-Newtonian approximation and effective-one-body formalism, we show that our framework provides eccentricity estimates that connect smoothly into the relativistic regime (even up to ∼2𝑀 before merger). We also find that it is necessary to carry existing post-Newtonian calculations to an extra 0.5 post-Newtonian order to adequately characterize existing NR simulations, and provide fits to the extra coefficient for existing simulations. We make the framework publicly available through the python-based gwmodels package.
Copyright and License
© 2025 American Physical Society.
Acknowledgement
We are grateful to the SXS Collaboration and RIT NR group for maintaining the publicly available catalog of NR simulations which has been used in this study. We thank Saul Teukolsky, Scott Field, Gaurav Khanna, Ajit Mehta, Vijay Varma, Keefe Mitman, and Arif Shaikh for helpful discussions. This research was supported in part by the National Science Foundation under Grant No. NSF PHY-2309135 and the Simons Foundation (Grant No. 216179, LB). Use was made of computational facilities purchased with funds from the National Science Foundation (Grant No. CNS-1725797) and administered by the Center for Scientific Computing (CSC). The C. S. C. is supported by the California NanoSystems Institute and the Materials Research Science and Engineering Center (Grant No. NSF DMR 2308708) at UC Santa Barbara.
Data Availability
The data that support the findings of this article are openly available [79]; embargo periods may apply.
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Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2502.02739 (arXiv)
- Is supplemented by
- Dataset: https://github.com/tousifislam/gwModels (URL)
Funding
- National Science Foundation
- PHY-2309135
- Simons Foundation
- 216179
- National Science Foundation
- CNS-1725797
- Center for Scientific Computing
- California NanoSystems Institute
- Materials Research Science and Engineering Centers
- DMR-2308708
- University of California, Santa Barbara
Dates
- Submitted
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2025-09-21
- Accepted
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2025-10-22