28–31 Mar 2023
Europe/Athens timezone

G2Net - A network for Gravitational Waves, Geophysics and Machine Learning (CA17137) 

UPDATED INFORMATION:

ZOOM LINK FOR REMOTE PARTICIPANTS: 
https://authgr.zoom.us/meeting/register/tJEld-2qrT8pHNSPB8G-pZVlDT17vPlKihFZ
(please register your Name, Surname and email and you will receive a link to connect - the link will be valid for all days)

GITHUB REPOSITORY FOR TEACHING MATERIAL
In this github repository you will find all teaching material and notebooks, as well as the description of the hackathon (information will be added incrementally on a day-by-day basis, as the school progresses).

BUS LINES INFORMATION
Detailed information for public transportation can be found on this page.

PRACTICAL INFORMATION
AC sockets for laptop charging are available in the conference room (one per three seats). Please bring your own laptop and charger for the hands-on sessions.

WIFI ACCESS AT THE VENUE
Eduroam is available at the venue. In addition, in-person participants will also receive personal username/password combinations for the duration of the school.

DINNER
The dinner will take place on Tuesday, March 28 at 20:00 at the Kazaviti restaurant in the Ladadika district (Katouni 9 Str.). 

GUIDED VISIT TO THE ARCHEOLOGICAL MUSEUM OF THESSALONIKI

On March 29/3/2023, 13:00-15:00, we will visit the nearby Archeological Museum of Thessaloniki for a guided tour. In-person participants have been asked via email to indicate whether they wish to participate.

GROUP PHOTO

We will take a group photo on Thursday at 1:25 just before the lunch break, in front of the KEDEA building.

www.g2net.eu

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.

This training school is targeted towards PhD students and post-docs in Gravitational Wave Astronomy and Geophysics. Advanced MSc/BSc students are also welcome to apply.

Lecture Modules:

  • Machine Learning
  • Deep Learning
  • Gravitational Waves
  • Seismic Noise
  • Control Systems

 

The lecturers are:
 
Michal Bejger (Nicolaus Copernicus Astronomical Center)
Isabel Cordero Carrión (Universitat of Valencia)
Elena Cuoco (European Gravitational Observatory)
Veliimir Ilic (Serbian Academy of Sciences and Arts)
Dario Jozinović (ETH Zurich)
Soumen Koley (Gran Sasso Science Institute)
Natalia Korsakova (Astroparticule et Cosmologie, Paris)
Paraskevi Nousi (Aristotle University of Thessaloniki)
Kostas Papazachos (Aristotle University of Thessaloniki)
Nikolaos Passalis (Aristotle University of Thessaloniki)
Luigia Petre (Åbo Akademi University)
Nikolaos Stergioulas (Aristotle University of Thessaloniki)
Anastasios Tefas (Aristotle University of Thessaloniki)
Agata Trovato (University of Trieste)

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 School will be organized in a hybrid mode, with in-person attendance (limited to about 40 persons) and remote attendance. Registration is required for both modes of participation. There are no registration fees. The final registration deadline is February 15, 2023.

 

Note: All participants accepted by the SOC, also need to register on the e-COST website and join the Working Group WG1 of COST Action CA17137 (G2Net), see these step-by-step instructions. You will then receive an official invitation from e-COST to attend the training school. 

Hackathon winners

The winners of the Hackathon are Joan Llobera, Maria de Lluc Planas. Congratulations! The top-10 leaderboard at the closing of the training school can be found on the github repository.

Outreach Activity Selections

The top 3 selections of the submitted works for the outreach activity during Isabel Cordero Carrión's lecture are: Amlan Nanda, Evdokia Koursoumpa and Vladimir Sivtsov. Congratulations!

Financial Support

For in-person attendance, the G2Net action could support students who will attend the school in form of a travel grant, based on the availability of funds and a CV selection of candidates. To apply for a travel grant, please send your CV to the official email of the training school, with the subject "Travel grant application" by February 15 at the latest. You will be notified of acceptance shortly thereafter.

 

Scientific and Organizing Committee

Cuoco, Elena

Iosif, Panagiotis

Karnesis, Nikolaos
Koloniari, Alexandra Eleni

Nousi, Paraskevi

Passalis, Nikolaos

Pesios, Dimitrios

Petre, Luigia

Sasli, Argyro

Stergioulas, Nikolaos

Tefas, Anastasios

 

Starts
Ends
Europe/Athens

The school is supported by the Aristotle University of Thessaloniki, the School of Physics, and the G2Net COST Action.