Erlangen 2026 – scientific programme

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GR: Fachverband Gravitation, Relativistische Astrophysik und Kosmologie

GR 12: Relativistic Astrophysics III / Gravitational waves III

GR 12.5: Talk

Thursday, March 19, 2026, 14:45–15:00, KH 01.016

Exploring Machine Learning Techniques for Gravitational-Wave Detection with Einstein Telescope — •Sebastian Wein, Alexander Kappes, and Waleed Esmail — Universität Münster, IKP, Wilhelm-Klemm-Str. 9, 48149

Einstein Telescope is a planned third-generation gravitational-wave observatory, that is expected to be more sensitive by at least one order of magnitude compared to current facilities such as LIGO/Virgo. With this increased sensitivity, challenges for signal detection arise due to longer signal duration and frequent signal overlap. Matched filtering, the current standard numerical signal detection algorithm, cannot be easily adapted to meet these challenges: neural networks might be a better fit instead. This talk describes the design of a machine-learning architecture for handling large inputs and detecting multiple, possibly overlapping signals.

Keywords: Gravitational waves; Machine learning; Einstein Telescope