Contact: g2netschool[AT]gmail.comLocation: Thessaloniki, Greece
The G2Net COST action is organizing the 4th Training School on Gravitational Waves, Geophysics and Machine Learning in Thessaloniki, Greece. Our school will provide training in the exciting field of Gravitational Wave Astronomy, in which the application of machine learning (ML) techniques is rapidly evolving. The training modules are designed to provide students with a strong foundation in the fundamental concepts of machine learning techniques, as well as the practical skills and knowledge needed to apply these in the field of Gravitational Wave Astronomy, including the analysis of seismic noise.
The school will be organized in a hybrid mode, with in-person attendance at the Aristotle University of Thessaloniki and remote attendance through live zoom sessions.
Lecture Modules:
– Machine Learning
– Deep Learning
– Gravitational Waves
– Seismic Noise
– Control Systems
Individual topics include rapid GW detection using neural networks, accelerating surrogate GW models with machine learning and denoising using machine learning. There will be hands-on exercise sessions using jupyter notebooks. Please bring your laptops.
The in-person attendance is limited to about 30 persons. Registration is required for both modes of participation. There are no registration fees.
Financial Support:
Support for a limited number of students will be provided through the G2Net COST action (details to be announced, soon).
Scientific and Organizing Committee:
Cuoco, Elena
Iosif, Panagiotis
Nousi, Paraskevi
Passalis, Nikolaos
Pesios, Dimitrios
Petre, Luigia
Sasli, Argyro
Stergioulas, Nikolaos
Tefas, Anastasios
The visit the training school’s website for additional information.