30. August 2021

Artificial intelligence sharpens the view into space Artificial intelligence sharpens the view into space

New research cluster combines radio astronomy and data science in North Rhine-Westphalia

In their search for distant galaxies, rapidly rotating neutron stars and black holes, radio astronomers collect an ever-increasing amount of data. This torrent of data will in future also be analyzed with the help of artificial intelligence. To this end, eight institutions in North Rhine-Westphalia have joined forces under the leadership of the Max Planck Institute for Radio Astronomy (MPIfR) to establish the "NRW Cluster for Data-Intensive Radio Astronomy: Big Bang to Big Data". Partners in Bonn include the MPIfR, the University of Bonn and the Bonn-Rhein-Sieg University of Applied Sciences. The state is funding the project with up to three million euros.

The aerial view shows the Effelsberg radio observatory
The aerial view shows the Effelsberg radio observatory - with two telescopes, the 100-meter-diameter parabolic mirror (top center) and the Effelsberg LOFAR station (bottom right). © Photo: Peter Sondermann, VisKom/City-Luftbilder
Download all images in original size The impression in connection with the service is free, while the image specified author is mentioned.

Radio astronomers use radio waves to study objects in space. Using increasingly sophisticated observational methods, they look deep into the universe and locate, for instance, distant galaxies, rapidly rotating neutron stars (pulsars) and black holes. The Effelsberg radio telescope near Bad Münstereifel, with its 100-meter parabolic mirror, is a prominent representative of the telescopes used for this purpose, which are also interconnected in local to global networks to increase imaging sharpness and sensitivity.

Modern radio telescopes generate data at ever faster rates. "In the next generation of radio telescopes, data will be generated at rates comparable to all of today's Internet traffic," says Prof. Dr. Michael Kramer, director at the Max Planck Institute for Radio Astronomy in Bonn.

Researchers are therefore looking for completely novel ways to cope with this flood of data. "Diligence and large computers are no longer enough for this," says Prof. Dr. Frank Bertoldi of the Argelander Institute for Astronomy at the University of Bonn. "Machine learning" and "artificial intelligence" will in the future help researchers to filter out the interesting signals of the universe from the flood of data.

In order to acquire and exchange the necessary expertise, radio astronomers and data scientists from eight institutions in North Rhine-Westphalia have joined forces in the "NRW Cluster for Data-Intensive Radio Astronomy: Big Bang to Big Data" under the leadership of the Max Planck Institute for Radio Astronomy. The project will receive funding of up to three million euros over the next three years as part of the NRW "Profiling 2020" development program.

The essential purpose of the cluster is to network knowledge and coordinate the activities of radio astronomers, interested data scientists, and industry partners. "This is a concerted action that makes all of us stronger in research and teaching, as well as in the transfer of knowledge to practical applications through the exchange with our industrial partners," Michael Kramer and Frank Bertoldi agree. Both researchers are members of the Transdisciplinary Research Area "Building Blocks of Matter and Fundamental Interactions" at the University of Bonn.

Participating institutions:

The participating institutions include the Max Planck Institute for Radio Astronomy, the University of Bonn, Forschungszentrum Jülich, the Bonn-Rhein-Sieg University of Applied Sciences, the Ruhr-Universität Bochum, the TU Dortmund University, the University of Bielefeld and the University of Cologne.

Contact:

Prof. Dr. Michael Kramer
Direktor und Leiter der Forschungsabteilung Radioastronomische Fundamentalphysik
Max-Planck-Institut für Radioastronomie Bonn
Fon: +49 228 525-278
E-mail: mkramer@mpifr-bonn.mpg.de

Prof. Dr. Frank Bertoldi
Argelander-Institut für Astronomie
Universität Bonn
Fon: +49 228 73-6789
E-mail: bertoldi@astro.uni-bonn.de

Dr. Norbert Junkes
Presse- und Öffentlichkeitsarbeit
Max-Planck-Institut für Radioastronomie Bonn
Fon: +49 228 525-399
E-mail: njunkes@mpifr-bonn.mpg.de


Links:

Big Bang to Big Data (B3D)
https://b3d.nrw/

Radioteleskop Effelsberg
https://www.mpifr-bonn.mpg.de/effelsberg

Low Frequency Array (LOFAR)
https://www.mpifr-bonn.mpg.de/lofar

MeerKAT radio telescope
https://www.sarao.ac.za/gallery/meerkat/

SKA Observatory
https://www.skatelescope.org/

Atacama Large Millimeter/submillimeter Array (ALMA)
https://www.almaobservatory.org/en/home/

Atacama Pathfinder Experiment (APEX)
http://www.apex-telescope.org/ns/

Bausteine der Materie und fundamentale Wechselwirkungen (TRA Matter), Universität Bonn
https://www.uni-bonn.de/de/forschung-lehre/forschungsprofil/transdisziplinaere-forschungsbereiche/tra-2-matter

Eight radio telescopes
Eight radio telescopes - were involved in observing the famous image of the shadow of a black hole at the center of galaxy M87, including ALMA and APEX in Chile's Atacama Desert. For this image, a total data volume of 20 petabytes (20 million gigabytes) was recorded within one week. © Image: EHT Consortium
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