ACME - AresGW

Wednesday 4 Mar 2026, 10:00 → 14:00 Europe/Paris

Alexandra Eleni Koloniari (Aristotle University of Thessaloniki), Nikolaos Stergioulas (Aristotle University of Thessaloniki)

AresGW is a machine-learning-based pipeline designed for offline real-time gravitational wave (GW) detection of  binary black hole mergers. The structure of the code will be explained, and participants will learn how to generate training data and how to train AresGW and apply it to real LVK data. 

All training material for this session is available at this repository.

1 Introduction

Speaker: Nikolaos Stergioulas (Aristotle University of Thessaloniki)

ACME

2 AresGW overview

Speaker: Alexandra Eleni Koloniari (Aristotle University of Thessaloniki)

AresGW model 1

AresGW training repository

3 LVK Gravitational Wave Data

Speaker: Alexandra Eleni Koloniari (Aristotle University of Thessaloniki)

4 AresGW setup

Speaker: Nikolaos Stergioulas (Aristotle University of Thessaloniki)

5 Training Data

Speaker: Nikolaos Stergioulas (Aristotle University of Thessaloniki)

MLGWSC-1

11:45 Break

6 Train - Test - Evaluate

Hands-on Session

Speakers: Alexandra Eleni Koloniari (Aristotle University of Thessaloniki), Nikolaos Stergioulas (Aristotle University of Thessaloniki)

AresGW Variance Repository