Heidelberg 2022 – wissenschaftliches Programm

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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 2: Data Analytics & Machine Learning

AKPIK 2.2: Vortrag

Mittwoch, 23. März 2022, 16:30–16:45, AKPIK-H13

Investigating the Potential Application of Neural Networks for Data Denoising at the Einstein Telescope — •David Bertram, Markus Bachlechner, and Achim Stahl — III. Physikalisches Institut B, RWTH Aachen

The Einstein Telescope is a proposed third-generation gravitational wave detector aiming to improve the sensitivity over the whole frequency band compared to the previous generation. For this purpose solely hardware improvements could turn out to be insufficient and novel data processing techniques are crucial. A promising idea for the latter is the implementation of neural networks that can operate on potential irregularly structured additional inputs like seismic sensors. This talk investigates the potential of such techniques in terms of data denoising.