New data and computing infrastructure enables the Einstein Telescope to listen for gravitational waves

Fourteen universities and companies from the Euregion are joining forces in the ETCETERA project. Together, they are developing an advanced data and computing infrastructure to help the Einstein Telescope detect and analyse gravitational waves.

The Einstein Telescope will be a third-generation gravitational wave observatory, capturing signals from colliding black holes, supernovae, and potentially even dark matter. It will peer further back in time than ever before, reaching close to the Big Bang. But to decode these signals, researchers must process vast data streams at unprecedented speed.

ETCETERA addresses this challenge with cutting-edge AI models and powerful computing infrastructure. The goal? To instantly determine whether a signal is significant and pinpoint its origin, allowing conventional telescopes to follow up in time. AI prioritises which signals warrant deeper analysis and accelerates complex physics calculations. The infrastructure also corrects minute vibrations in real time to prevent measurement interference, with researchers embedding AI algorithms directly into the telescope’s computer chips.

Seven universities and seven companies are collaborating closely on this project. They are not only creating a testing ground for AI and high-performance computing but also sharing expertise with public and private organisations. The technology they develop will have applications in sectors such as energy and aerospace, strengthening the Euregion Meuse-Rhine’s position in innovation and economic growth.

ETCETERA officially launches on 1 January 2027 and will run for three years. The consortium is building a sustainable testbed for data processing, providing a foundation for future researchers. This project increases the likelihood that the Einstein Telescope will be located in the Euregion. The challenges are immense, but the potential for scientific breakthroughs is even greater.

Een illustraties van signalen die tussen sterrenstelsels reizen

ETCETERA is an Interreg EMR research project led by Hasselt University, in collaboration with partners KU Leuven, Université Catholique de Louvain, Utrecht University, Université de Liège, Rheinisch-Westfälische Technische Hochschule Aachen, Maastricht University, Spacebel SA, Boosting Alpha BV, B12 Consulting, Deltatec, Dataminded, dataMatters GmbH, Aprico Consultants (part of YUMA).

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