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Physical Review D

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Costs of Bayesian parameter estimation in third-generation gravitational wave detectors: An assessment of current acceleration methods

Qian Hu* and John Veitch†

  • Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, United Kingdom

  • *Contact author: Qian.Hu@glasgow.ac.uk
  • †Contact author: John.Veitch@glasgow.ac.uk

A practical Bayesian method for gravitational-wave ringdown analysis with multiple modes

Yiming Dong, Ziming Wang, Hai-Tian Wang, Junjie Zhao, and Lijing Shao

Nat Astron 10 564 (2026)

The Science of the Einstein Telescope

Adrian Abac et al.

J. Cosmol. Astropart. Phys. 2026 081 (2026)

Comparing next-generation detector configurations for high-redshift gravitational wave sources with neural posterior estimation

F. Santoliquido, J. Tissino, U. Dupletsa, M. Branchesi, and J. Harms

A&A 708 A175 (2026)

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

A. Makai Baker, Paul D. Lasky, Eric Thrane, and Jacob Golomb

Phys. Rev. D 112 102004 (2025)

Fast and accurate parameter estimation of high-redshift sources with the Einstein Telescope

Filippo Santoliquido, Jacopo Tissino, Ulyana Dupletsa, Marica Branchesi, Jan Harms, Manuel Arca Sedda, Maximilian Dax, Annalena Kofler, Stephen R. Green, Nihar Gupte, Isobel M. Romero-Shaw, and Emanuele Berti

Phys. Rev. D 112 103015 (2025)

Lightweight posterior construction for gravitational-wave catalogs with the Kolmogorov-Arnold network

Wenshuai Liu, Yiming Dong, Ziming Wang, and Lijing Shao

Phys. Rev. D 112 122003 (2025)

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