Work

Searching for gravitational wave echo with group equivariant neural posterior estimation

Year: 2026

Type: preprint

Abstract: Current methods for the gravitational-wave (GW) echo searches generally require substantial computational time and resources. Recent advances in group equivariant neural posterior estimation (GNPE) have demonstrated the potential to substantially accelerate posterior inference. In this work, we adopt this framework and train a GNPE model to perform echo searches, significantly improving computational efficiency while maintaining comparable inference accuracy. We apply it to the O4a events and find no significant evidence for the GW echo.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2609.18337

Authors: Luo, Jian-Wei, Piao, Yun-Song

Language: English

Topic: Pulsars and Gravitational Waves Research

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities

Award: G6883445009

OpenAlex ID: W7213505880

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