Choose timezone
Your profile timezone:
g2net WG3 training school on Machine Learning for Advanced Control Techniques
→
Europe/Rome
,
Description
WG3 explores the use of Machine Learning (ML) techniques in the control and noise mitigation strategies of scientific experiments, specifically for Gravitational Wave (GW) detectors. GW detectors, both those currently running and those foreseen to be spaceborne, are uniquely complex instruments with specific and new challenges in terms of control and noise issues. These challenges call for significant adaptation and ingenuity in the ML approaches, which are seldom used as textbook cases and are often coupled with simulations and burden with heavy experimental constraints. These developments need diverse expertise and interaction, which is the benefit of the current COST action. This working group’s goal is to develop ML algorithms as part of the detectors’ feedback-control systems as well as for the feed-forward cancellation of noise.
In the training school we address the following topics:
- Einstein Telescope
- LISA
- Deep learning taxonomy
- Newtonian noise cancellation with machine learning
- Fractal analysis for controlling interferometers
- Robotics for interferometers
The workshop is organised during August 30-September 2, 2021, ONLINE, see below for the zoom coordinates.
The following speakers have kindly agreed to join us:
- Dr Francesca Badaracco, UCLouvain, Belgium: "Newtonian Noise Cancellation Strategies and Optimisation Problems"
- Prof Marco Cavaglia, Missouri Univeristy of Science and Technology, US: "Fractal analysis for interferometer control"
- Dr Razvan Pascanu, DeepMind, UK: "Deep learning Taxonomy"
- Dr Natalia Korsakova, Artemis, France : "LISA talk on disentanglement"
- Dr Fabio Bonsignorio, HeronRobotics: "Robotics for interferometers"
- Dr Luca Naticchioni, INFN, Italy: "Einstein Telescope site characterisation measures and their impact on the third generation GW detectors"
- Prof Stefan Hild, Maastricht University, The Netherlands: "Einstein Telescope: technical & scientific challenges for the future GW detectors"
These speakers will also oversee a round table discussion on Thursday, September 2, mainly on investigating the machine learning potential in their topics, but also discussing other topics of interest.
Please contact either/both Luigia and Andrea (lpetre@abo.fi, andrea.chincarini@ge.infn.it) if you have questions.
Luigia Petre is inviting you to a scheduled Zoom meeting.
Topic: WG3's Training School, August 30- September 2, 2021
Time: This is a recurring meeting Meet anytime
Join Zoom Meeting
https://aboakademi.zoom.us/j/63634188394
Meeting ID: 636 3418 8394
Join by SIP
63634188394@109.105.112.236
63634188394@109.105.112.235
Join by H.323
109.105.112.236
109.105.112.235
Meeting ID: 636 3418 8394
Participants
Agata Trovato
Akanksha Ahuja
Andrei Utina
Arash Gavgani
Argyro Sasli
Chaganti Rama Durga Santosh Kumar
Conor Muldoon
Dimitrios Pesios
Elahe Khalouei
Fabio bonsignorio
Filip Morawski
Francesca Badaracco
Harish Singh
Hector Hortua
Ian Baldwin
Isabel Cordero-Carrión
Jacopo Soldateschi
Lavinia Longo
Luca Naticchioni
Luigia Petre
Marco Cavaglia
Marta Budroni
Mateusz Bawaj
Márcio Ferreira
Natalia Korsakova
Nikolaos Karnesis
Panagiotis Iosif
Paula Pons Muñoz
prateek upadhyay
Rafel Jaume Amengual
Razvan Pascanu
Sepideh Ghaziasgar
Shruti Sharma
Tomislav Andric
tushar vaidya
Velimir Ilic
Vijayasri Iyer
Wathela Alhassan
Xianjia Yu
