Significant challenges for astrophysical inference with next-generation gravitational-wave observatories
Abstract
The next generation of gravitational-wave observatories will achieve unprecedented strain sensitivities with an expanded observing band. They will detect O(10⁵) binary neutron star (BNS) mergers every year, the loudest of which will be in the band for ≈ 90 minutes with signal-to-noise ratios ≈ 1500. We show that subtleties arising from the rotation of the Earth and the free-spectral range of gravitational-wave interferometers dramatically increases the complexity of next-gen BNS signals compared to the one-minute signals seen by LIGO-Virgo. Reduced-order quadrature, a compression method currently relied upon to speed up the most expensive BNS calculations, may no longer be effective in determining the astrophysical parameters of next-gen BNS signals. We carry out reduced-order inference on a simulated next-gen BNS signal taking into account the Earth's rotation and the observatories' free-spectral range. We show that reduced-order modeling becomes impractical, and the full problem becomes computationally infeasible, when we include data below ≈ 16 Hz —a part of the observing band that is critical for precise sky localization. We discuss potential paths toward solving this complex problem.
Copyright and License
Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
Acknowledgement
This material is based upon work supported by NSF’s LIGO Laboratory which is a major facility fully funded by the National Science Foundation. This work is supported through Australian Research Council (ARC) Centres of Excellence CE170100004, CE230100016, Discovery Projects DP220101610 and DP230103088, and LIEF Project LE210100002. This work was performed on the OzSTAR national facility at Swinburne University of Technology. The OzSTAR program receives funding in part from the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) allocation provided by the Australian Government, and from the Victorian Higher Education State Investment Fund (VHESIF) provided by the Victorian Government.
Data Availability
The data that support the findings of this article are openly available [56].
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Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2503.04073 (arXiv)
- Is supplemented by
- Dataset: 10.5281/zenodo.17354925 (DOI)
Funding
- National Science Foundation
- Australian Research Council
- CE170100004
- Australian Research Council
- CE230100016
- Australian Research Council
- DP220101610
- Australian Research Council
- DP230103088
- Australian Research Council
- LE210100002
- Swinburne University of Technology
- Astronomy National Collaborative Research Infrastructure Strategy
- Victorian Higher Education State Investment Fund
Dates
- Accepted
-
2025-09-29
Caltech Custom Metadata
- Caltech groups
- LIGO , Division of Physics, Mathematics and Astronomy (PMA)
- Publication Status
- Published