BiCoQ Seminar: Artificial Intelligence for the Design and Control of Gravitational Wave Detectors
by
TBD
Bicocca
Abstract: Artificial intelligence (AI) is playing an increasingly important role in gravitational-wave (GW) detection. It is being developed as a tool to overcome limitations of the computationally expensive Bayesian inference methods. More recently, AI utilization has been explored to improve the performance of GW detectors by optimizing their designs and their control. In this talk, we will present two important examples, namely the optimized design of environmental monitoring systems for the subtraction of noise in the GW data, and the optimized detector control through a technique called Deep Loop Shaping, where a noise reduction by up to two orders of magnitude was recently demonstrated. These examples show the enormous potential of AI to improve detector performance and to enable the ambitious sensitivity goals of future detectors like the Einstein Telescope.
Speaker: Jan Harms is professor of physics at the Gran Sasso Science Institute. He obtained his PhD at the Leibniz University Hannover and spent five years in the USA at the University of Minnesota and at the California Institute of Technology before coming to Italy in 2013. He has been member of the LIGO and Virgo collaborations since 2004. He is co-chair of the Instrument Science Board of the Einstein Telescope and principal investigator of the Lunar Gravitational Wave Antenna. His research is focused on the development of advanced technologies and data-analysis methods for gravitational-wave detection.