Within 24 hours of accessing the first stage of Australia’s newest supercomputing system, researchers have processed a series of radio telescope observations, including a highly detailed image of a supernova remnant.
The very high data rates and the enormous data volumes from new-generation radio telescopes such as ASKAP (opens in new tab) (Australian Square Kilometre Array Pathfinder) need highly capable software running on supercomputers. This is where the Pawsey Supercomputing Research Centre comes into play, with a newly launched supercomputer called Setonix (opens in new tab) – named after Western Australia’s favourite animal, the quokka (opens in new tab) (Setonix brachyurus).
ASKAP, which consists of 36 dish antennas that work together as one telescope, is operated by Australia’s national science agency CSIRO; the observational data it gathers are transferred via high-speed optical fibres to the Pawsey Centre for processing and converting into science-ready images.
In a major milestone on the path to full deployment, we have now demonstrated the integration of our processing software ASKAPsoft on Setonix, complete with stunning visuals.
Traces of a dying star
An exciting outcome of this exercise has been a fantastic image of a cosmic object known as a supernova remnant, G261.9+5.5 (opens in new tab).
Estimated to be more than a million years old, and located 10,000-15,000 light-years away from us, this object in our galaxy was first classified (opens in new tab) as a supernova remnant by CSIRO radio astronomer Eric R. Hill in 1967, using observations from CSIRO’s Parkes Radio Telescope, Murriyang (opens in new tab).
Supernova remnants (SNRs) are the remains of powerful explosions from dying stars. The ejected material from the explosion ploughs outwards into the surrounding interstellar medium at supersonic speeds, sweeping up gas and any material it encounters along the way, compressing and heating them up in the process.
Additionally, the shockwave would also compress the interstellar magnetic fields. The emissions we see in our radio image of G261.9+5.5 are from highly energetic electrons trapped in these compressed fields. They bear information about the history of the exploded star and aspects of the surrounding interstellar medium.
The structure of this remnant revealed in the deep ASKAP radio image opens up the possibility of studying this remnant and the physical properties (such as magnetic fields and high-energy electron densities) of the interstellar medium in unprecedented detail.
Putting a supercomputer through its paces
The image of SNR G261.9+05.5 might be beautiful to look at, but the processing of data from ASKAP’s astronomy surveys is also a great way to stress-test the supercomputer system, including the hardware and the processing software.
We included the supernova remnant’s dataset for our initial tests because its complex features would increase the processing challenges.
Data processing even with a supercomputer is a complex exercise, with different processing modes triggering various potential issues. For example, the image of the SNR was made by combining data gathered at hundreds of different frequencies (or colours, if you like), allowing us to get a composite view of the object.
But there is a treasure trove of information hidden in the individual frequencies as well. Extracting that information often requires making images at each frequency, requiring more computing resources and more digital space to store.
While Setonix has adequate resources for such intense processing, a key challenge would be to establish the stability of the supercomputer when lashed with such enormous amounts of data day in and day out.
Key to this quick first demonstration was the close collaboration between the Pawsey Centre and the ASKAP science data processing team members. Our teamwork enabled all of us to better understand these challenges and quickly find solutions.
These results mean we will be able to unearth more from the ASKAP data, for example.
More to come
But this is only the first of two installation stages for Setonix, with the second expected to be completed later this year.
This will allow data teams to process more of the vast amounts of data coming in from many projects in a fraction of the time. In turn, it will not only enable researchers to better understand our Universe but will undoubtedly uncover new objects hidden in the radio sky. The variety of scientific questions that Setonix will allow us to explore in shorter time-frames opens up so many possibilities.
This increase in computational capacity benefits not just ASKAP, but all Australia-based researchers in all fields of science and engineering that can access Setonix.
While the supercomputer is ramping up to full operations, so is ASKAP, which is currently wrapping up a series of pilot surveys and will soon undertake even larger and deeper surveys of the sky.
The supernova remnant is just one of many features we’ve now revealed, and we can expect many more stunning images, and the discovery of many new celestial objects, to come soon.
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I am supercomputing applications specialist and researcher at the Pawsey Supercomputing Research Centre.
I obtained a PhD in Astrophysics from Queen’s University, Kingston Ontario, Canada. My research background is in numerical astrophysics, where I explored the physics governing the Universe through complex virtual universes. I am interested in cosmology and galaxy formation as well as developing algorithms for use on supercomputers. I developed an extensive track record of developing astronomical software for HPC systems during my research.
I now seek to use my knowledge and experience using supercomputers to help other researchers, enabling science from a wide variety of fields.