Machine Learning in Gravitational Wave search: g2net next challenges

28 Sept 2022, 09:00 → 30 Sept 2022, 21:00 Europe/Rome

Auditorium (European Gravitational Observatory)

Elena Cuoco (EGO &SNS)

The breakthrough discovery of Gravitational Waves (GWs) on September 14, 2015, was possible through the synergy of techniques drawing from expertise in physics, mathematics, information science and computing. The community nurtured by the CA17137 G2net COST Action is exploring, building on past work, the tremendous opportunity of the systematic application of Machine Learning (ML), Artificial Intelligence (AI) and Robotics to GW detection and Geophysics.

 

In this workshop we will show the results obtained so far by the working groups of the COST Action CA17137. Furthermore, we will discuss the state-of-the-art, as well as future challenges, of Machine Learning applied to gravitational wave research. The program will also include contributions from machine learning experts in different research areas. 

There is no fee for participation. The workshop will be held in hybrid format, with participation in presence at the European Gravitational Observatory and remote connection with Zoom.

Link for remote connection: Zoom link.

 

 

 

 

 

 

Wednesday 28 September

10:00 → 11:00 Welcome coffee and registration

11:00 → 11:30 Welcome

11:00 Welcome from EGO Director

Speaker: Stavros Katsanevas

11:15 Welcome from Action Chair

Speaker: Elena Cuoco

G2net-Next Challenges.pdf

11:30 → 12:20 Invited contributions

Convener: Marco Cavaglia

11:30 Discovering gravitational waves with Machine Learning

Speaker: Marco Cavaglia

pisa_cost.pdf

12:20 → 13:00 G2net result presentations

12:20 Searches for Mass-Asymmetric Compact Binary Coalescence Events using Neural Networks in the LIGO/Virgo Third Observation Period

Speaker: Mario Martinez

aCNN-EGO.pdf

12:40 Deep Residual Networks for GW Astronomy

Speaker: Paraskevi Nousi (Aristotle University of Thessaloniki)

residual_gw_detection_slides.pdf

13:00 → 14:15 Lunch break

14:15 → 15:00 Invited contributions

14:15 What's happening in AI research?

The field of AI research finds itself at an interesting decision point: to exploit promising solutions that rose to prominence over the past few years and scale them up to more and more powerful generalist models, or to explore new unknown areas? Do we already have all the basic ingredients we need? 
This talk will describe some of the currently most popular architectures (Transformers, Perceivers, Graph Neural Nets, Diffusion, etc.), discuss the multimodal frontier, and highlight some success stories in technical application domains such as code generation, algorithmic reasoning, and the physical science, and explore results and open questions in the fundamental understanding of these models (e.g. scaling laws, interpretability, compression).
This overview aims to provide an introduction to exciting topics in AI research that may be relevant to this community, under the lens of a data-driven scaling approach.

Speaker: Michela Paganini (DeepMind)

paganini-gravitational-waves.pdf

15:00 → 16:00 G2net result presentations

15:00 WG3 perspective after 4 years of g2net

Speaker: Luigia Petre (Åbo Akademi University)

PisaMeetingPresentation2022.pdf

15:30 Pros and Cons of Mobile Sensors

Speaker: Fabio Bonsignorio

G2NetVirgoSept2022BonsignorioPDF.pdf

16:00 → 16:15 Coffee break

16:15 → 16:55 G2net result presentations

16:15 Robot mobile platform for remote sensing

Speaker: Grzegorz Nieradka

MobileSeismicCOST28-09-2022.pdf

16:35 Automatic Hierarchical Exploration of Continuous Seismic Signal with Unsupervised Learning

Speaker: Christopher Zerafa (University of Malta)

Automatic Hierarchical Exploration of Continuous Seismic Signal with Unsupervised Learning - g2net - EGO.pdf

16:55 → 17:15 Open Discussion

Thursday 29 September

09:10 → 10:40 Contributed talks

09:10 Nonstationary Signals Analysis: New opportunities from the Mathematics of Signal Processing

Speaker: Antonio Cicone (University of L'Aquila)

2022-09_g2net_2022_Cicone-compresso.pdf

09:30 Characterization of LIGO/Virgo selection effects with neural networks

Speaker: Davide Gerosa (University of Milano-Bicocca)

virgo_ML_talk_20220928.pdf

09:50 ML acceleration of binary neutron star gravitational template generation

Speaker: Jacopo Tissino (GSSI)

Jacopo_Tissino_mlgw_bns_presentation.pdf

10:10 Gravitational-wave population models with deep learning

Speaker: Matthew Mould (University of Birmingham)

2022-09-29 g2net.pptx.pdf

10:30 Group photo

Photos IMG_0288.jpg

10:40 → 11:10 Coffee break

11:10 → 11:30 G2net result presentations

11:10 Outsourcing astrophysics data analysis to the real experts

Speaker: Joe Bayley (University of Glasgow)

G2net_2022.pdf

11:30 → 13:00 Invited contributions

Conveners: Denis Kanonik (Stealth Startup), Melissa Lopez Portilla

11:30 G2Net Gravitational Wave Detection Kaggle Competition Winner talk

Speaker: Denis Kanonik (Stealth Startup)

G2Net Kaggle Competition Winner Talk.pdf

12:15 Towards the next generation of transient gravitational wave searches

The state-of-the-art of gravitational wave (GW) search techniques for transient signals have been extremely successful, but their sensitivity continues to be hindered by the presence of transient noise artifacts in the detectors, known as glitches. Glitches happen at a rate of 1 per min reducing the amount of scientific data available, as well as masking or mimicking GW signals. Therefore, there is a need for better modeling and inclusion of glitches, as well as improving the robustness of future GW searches. In this presentation we tackle two different challenges employing Machine Learning techniques: firstly we further analyze glitches populations with Generative Adversarial Networks, and secondly we ameliorate glitches in GW searches by analysing pipelines triggers with Gaussian Process classifier.

Speaker: Melissa Lopez

Towards_future_searches_g2Net.pdf

Towards_future_searches_g2Net.pptx

13:00 → 14:30 Lunch break

14:30 → 15:50 G2net result presentations

14:30 Glitch Hunting with Machine Learning

Speaker: massimiliano razzano

2022-09-29_GWitchHunters_G2NetWorkshop_razzano-d.pdf

14:50 Learning to detect continuous gravitational waves

Speaker: Rodrigo Tenorio (University of the Balearic Islands)

G2NetEGO.pdf

15:10 Neural Networks Applications For Core-Collapse Supernovae Searches

Speaker: Dr Alberto Iess (Scuola Normale Superiore)

g2net_workshop_EGO_Sep2022.pptx

15:30 G2net Outreach and Communication Activities

Speaker: Isabel Cordero

CA17137 - Communication.pdf

15:50 → 16:10 Open Discussion

16:10 → 16:30 Coffee break

16:30 → 18:30 Virgo tour

16:30 The Advanced Virgo detector, a tour preview

Speaker: francesco di renzo

Advanced_Virgo-Visit_ENG.pptx

16:50 Virgo tour

18:30 → 19:30 G2net Movie: Patterns

19:30 → 21:30 Evening event: Social Dinner

Friday 30 September

09:10 → 10:10 Contributed talks

09:10 A surrogate model for IMRIs in presence of dark matter spikes

Speaker: Teophanes Karydas (University of Amsterdam)

karydas_presentation.pdf

09:30 Machine learning for detection of dark matter spike around black holes through gravitational waves

Speaker: Alessandro Parisi (Scuola Normale Superiore di Pisa)

EGO.pdf

09:50 Deep Learning Gravitational-Wave Searches for Cosmic Strings

Speaker: Quirijn Meijer

G2Net Quirijn.pdf

10:10 → 11:00 Discussion and closing remarks

11:00 → 11:20 Coffee break

19:00 → 21:00 Evening event: 2022 European Researchers’ Night