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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 3: Neural Networks I

AKPIK 3.5: Vortrag

Mittwoch, 22. März 2023, 15:00–15:15, ZEU/0118

Investigating Waveform Classification Using Neural Networks for the Einstein Telescope — Markus Bachlechner, •Philipp Otto, Oliver Pooth, and Achim Stahl — III. Physikalisches Institut B, RWTH Aachen

The Einstein Telescope (ET) is a proposed third-generation gravitational wave detector aiming to improve the sensitivity by more than an order of magnitude over the whole frequency band compared to the previous generation. Increased sensitivity yields a much higher event rate with overlapping signals, which will dramatically increase the computational resource requirements of conventional pattern matching methods. Neural networks are a promising approach to implement a fast and efficient waveform classification. Fast identification is also essential to allow for multi-messenger astronomy, by quickly alerting other observatories. This talk will present the investigation of a deep learning based waveform classification approach.