Speakers
Markus Bachlechner
(RWTH Aachen University)
Tim Kuhlbusch
(RWTH Aachen University)
Description
Prediction and mitigation of noise can increase the sensitivity of future gravitational wave detectors like the Einstein Telescope. These mitigation techniques could reduce noise from sources that can be independently measured, like seismic, electromagnetic, or acoustic disturbances. Wiener filters are a common technique that has been tested in current detectors. We are exploring the potential of other model-independent techniques to improve noise suppression. In a small-scale interferometer, we observe improvements beyond the Wiener filter performance for adaptive filtering techniques and deep-learning approaches. Furthermore, we are investigating the applicability of these techniques in real-time.
Primary authors
Achim Stahl
(RWTH Aachen University)
Dr
Jochen Steinmann
(RWTH Aachen University)
Markus Bachlechner
(RWTH Aachen University)
Tim Kuhlbusch
(RWTH Aachen University)
