Erlangen 2026 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 39: Gravitational Waves II
T 39.3: Vortrag
Dienstag, 17. März 2026, 16:45–17:00, KS 00.005
ML based detection strategies for high frequency GWs. — •Swarangee Saraf1, Matthias Schott2, Kristof Schmieden2, Stefan Horodenski2, and Christian Gottschlich2 — 1University of Bonn, Germany — 2Physikalisches Institute, University of Bonn, Germany
The Gravitational Wave Network (GravNet) is a network of high frequency gravitational wave detectors currently under construction. The detector concept relies on the resonant conversion of gravitational wave energy into electromagnetic energy, using the inverse Gertsenshtein effect. In this talk we will discuss challenges in detecting high frequency GWs and explore solutions by using machine learning techniques.
Keywords: Gravitational Waves; Machine Learning; Data analysis; GravNet