Published November 13, 2025 | Version Published
Journal Article Open

Significant challenges for astrophysical inference with next-generation gravitational-wave observatories

  • 1. ROR icon Monash University
  • 2. ROR icon ARC Centre of Excellence for Gravitational Wave Discovery
  • 3. ROR icon California Institute of Technology

Abstract

The next generation of gravitational-wave observatories will achieve unprecedented strain sensitivities with an expanded observing band. They will detect O(10) 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

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