2nd g2net training school CA17137

9 Mar 2020, 08:00 → 13 Mar 2020, 18:00 Europe/Rome

Lecture Room 201 (University of Malta Valletta Campus)

Elena Cuoco

CA17137 - A network for Gravitational Waves, Geophysics and Machine Learning

www.g2net.eu

The breakthrough discovery of gravitational waves on September 14, 2015 was made possible through synergy of techniques drawing from expertise in physics, mathematics, information science and computing.  At present, there is a rapidly growing interest in Machine Learning (ML), Deep Learning (DL), classification problems, data mining and visualization and, in general, in the development of new techniques and algorithms for efficiently handling the complex and massive data sets found in what has been coined "Big Data", across a broad range of disciplines, ranging from Social Sciences to Natural Sciences. The rapid increase in computing power at our disposal and the development of innovative techniques for the rapid analysis of data will be vital to the exciting new field of Gravitational Wave (GW) Astronomy, on specific topics such as control and feedback systems for next-generation detectors, noise removal, data analysis and data-conditioning tools.The discovery of GW signals from colliding binary black holes (BBH) and the likely existence of a newly observable population of massive, stellar-origin black holes, has made the analysis of low-frequency GW data a crucial mission of GW science. The low-frequency performance of Earth-based GW detectors is largely influenced by the capability of handling ambient seismic noise suppression. This Cost Action aims at creating a broad network of scientists from four different areas of expertise, namely GW physics, Geophysics, Computing Science and Robotics, with a common goal of tackling challenges in data analysis and noise characterization for GW detectors.

 

Training School Objective

This training school is targeted towards scientists with expertise in Gravitational Wave Physics, Geophysics and Computing Science.

Lecture Modules:

• Signal Processing,
• Time Series Analysis,
• Machine Learning,
• Deep Learning,
• Gravitational Waves,
• Geophysics

Financial Support

Financial support is not available more.

Monday 9 March

08:30 → 10:00 Registration & Opening Talk from G2Net: Registration & Opening from g2net - Elena Cuoco

10:00 → 11:00 Signal Processing: SP1 - Introduction to signal processing - Eftim Zdravevski

11:00 → 11:30 coffee break

11:30 → 12:30 Signal Processing: SP2 - Noise filtering - Eftim Zdravevski

12:30 → 13:30 Signal Processing: SP3 - Feature extraction with statistical functions from time-domain data - Eftim Zdravevski

13:30 → 14:30 lunch break

14:30 → 15:30 Machine Learning: ML1 - Introducing Python & Machine Learning

15:30 → 16:30 Machine Learning: ML2 - Classification or Regression - Christopher Zerafa

16:30 → 17:00 coffee break

17:00 → 18:00 Machine Learning: ML3 - Metrics - Christopher Zerafa

Tuesday 10 March

08:30 → 09:00 Registration & Opening Talk from G2Net: Registration

09:00 → 10:00 Machine Learning: ML4 - Model Selection - Christopher Zerafa

10:00 → 11:00 Machine Learning: ML5 - Luigia Petre

11:00 → 11:30 coffee break

11:30 → 12:30 Machine Learning: ML6 - Luigia Petre

12:30 → 13:30 Machine Learning: ML7 - Luigia Petre

13:30 → 14:30 lunch break

14:30 → 15:30 Machine Learning: ML8 - Luiga Petre

15:30 → 16:30 Geophysical Data Talk: GEO3 - Practical Machine Learning: from noise mitigation in GW detectors to medical physics - Andre Chincarini

16:30 → 17:00 coffee break

17:00 → 18:00 Geophysical Data Talk: GEO4 - Practical Machine Learning: from noise mitigation in GW detectors to medical physics -Andre Chincarini

Wednesday 11 March

08:30 → 09:00 Registration & Opening Talk from G2Net: Registration

09:00 → 10:00 Gravitational Data Talk: GRAV1 - Introduction to GWs I - Michal Bejger

10:00 → 11:00 Gravitational Data Talk: GRAV1 - Introduction to GWs I - Michal Bejger

11:00 → 11:30 coffee break

11:30 → 12:30 Gravitational Data Talk: GRAV3 - Gravitational Wave Data Analysis with Machine Learning - Jade Powell

12:30 → 13:30 Gravitational Data Talk: GRAV4 - Jade Powell

13:30 → 14:30 lunch break

14:30 → 15:30 Geophysical Data Talk: GEO5 - Deep Learning Applied to Earthquake Signals - Greg Beroza

15:30 → 16:30 ML Hackaton: HACK1 - CZ, FP, AI

16:30 → 17:00 coffee break

17:00 → 18:00 ML Hackaton: HACK2 - CZ, FP, AI

Thursday 12 March

08:30 → 09:00 Registration & Opening Talk from G2Net: Registration

09:00 → 10:00 Deep Learning: DL1 - Luca Antiga

10:00 → 11:00 Deep Learning: DL2 - Luca Antiga

11:00 → 11:30 coffee break

11:30 → 12:30 Deep Learning: DL3 - Luca Antiga

12:30 → 13:30 Deep Learning: DL4 - Luca Antiga

13:30 → 14:30 lunch break

14:30 → 15:30 ML Hackaton: HACK3 - CZ, FP, AI

15:30 → 16:30 ML Hackaton: HACK4 - CZ, FP, AI

16:30 → 17:00 coffee break

17:00 → 18:00 ML Hackaton: HACK5 - CZ, FP, AI

Friday 13 March

08:30 → 09:00 Registration & Opening Talk from G2Net: Registration

09:00 → 10:00 Geophysical Data Talk: GEO1 - Tomek Bulik

10:00 → 11:00 Geophysical Data Talk: GEO2 - Tomek Bulik

11:00 → 11:30 coffee break

11:30 → 12:30 ML Hackaton: HACK6 - CZ, FP, AI,

12:30 → 13:30 ML Hackaton: HACK7 - CZ, FP, AI

13:30 → 14:30 Registration & Opening Talk from G2Net: End of School