Astrophysicists Use Supercomputer to Uncover Secrets of Universal Dark Matter

Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images
Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images
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Astrophysicists Use Supercomputer to Uncover Secrets of Universal Dark Matter

Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images
Fugaku supercomputer at the Riken Center for Computational Science in Kobe, JapanJIJI PRESS/AFP via Getty Images

Visible matter constitutes only 16% of the universe's total mass. Little is known about the nature of the rest of that mass, which referred to as dark matter. Even more surprising is the fact that the universe's total mass accounts for only 30% of its energy. The rest is dark energy, which is totally unknown but is responsible for the universe's accelerated expansion.

To find out more about dark matter and dark energy, astrophysicists use large-scale surveys of the universe or detailed studies of the properties of galaxies. But they can only interpret their observations by comparing them to predictions by theoretical models of dark matter and dark energy. But these simulations take tens of millions of computing hours on supercomputers.

Using the Joliot-Curie supercomputer, a team of astrophysicists from the French Alternative Energies and Atomic Energy Commission (CEA), Sorbonne Université, and Université Paris-Saclay, run a simulation of the evolution of cosmic structures from the first few moments after the Big Bang to the present day. They managed to describe the intergalactic regions, which represent 90% of the Universe's volume in unprecedented resolution. The findings were published in the recent issue of the journal Monthly Notices of the Royal Astronomical Society.

According to a report published Saturday on the CEA website, the simulation's high resolution in low density regions meant that it was able to describe cold gas accretion by galaxies and the formation of ultra-compact massive galaxies when the universe was only 2 to 3 billion years old. This step, which was only possible through a simulation on the supercomputer, helps establish the grounds to understand dark matter and dark energy.

The supercomputer offers a computing power of 22 petaflops, and the volume of numerical data processed exceeded 3TB at each step of the computation. The Joliot-Curie supercomputer was designed by the company Atos for GENCI (the French high-performance computing center).



Google to Help Build Cyber Protection for Australian Infrastructure

Smartphone with google app icon is seen in front of the displayed Australian flag in this illustration taken, January 22, 2021. REUTERS/Dado Ruvic/Illustration/ File Photo Purchase Licensing Rights
Smartphone with google app icon is seen in front of the displayed Australian flag in this illustration taken, January 22, 2021. REUTERS/Dado Ruvic/Illustration/ File Photo Purchase Licensing Rights
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Google to Help Build Cyber Protection for Australian Infrastructure

Smartphone with google app icon is seen in front of the displayed Australian flag in this illustration taken, January 22, 2021. REUTERS/Dado Ruvic/Illustration/ File Photo Purchase Licensing Rights
Smartphone with google app icon is seen in front of the displayed Australian flag in this illustration taken, January 22, 2021. REUTERS/Dado Ruvic/Illustration/ File Photo Purchase Licensing Rights

Google and Australia's national science agency said they will work together to develop software that automatically detects and fixes network vulnerabilities for operators of critical infrastructure, seeking to contend with a surge in cyberattacks.

The software for organizations such as hospitals, defence bodies and energy suppliers will be customised to be in line with Australia's regulatory environment.

"Software supply chain vulnerabilities are a global issue, and Australia has led the way in legislative measures to control and combat the risks," said Stefan Avgoustakis, head of security practice for Google Cloud in Australia and New Zealand, according to Reuters.

The Australian government has been imposing tougher requirements on critical infrastructure operators to report and prevent cyberattacks after a spate of breaches in the past two years left the personal information of half the country's 26 million population exposed.

The research partnership will pair up Google's existing open source vulnerability database and storage cloud with the Commonwealth Scientific and Industrial Research Organization's (CSIRO) research methods, the parties said in a statement.

Google said the plan was part of a five-year commitment it made in 2021 to spend A$1 billion ($675 million) in Australia at a time when the country's push for tougher regulation of global tech firms had cooled relations with the US firm.

Google also supplies cybersecurity services to the US as part of a $9 billion contract between the US Department of Defense and a number of large tech firms.

CSIRO's project lead Ejaz Ahmed said locally developed cybersecurity software would "be better aligned with local regulations, promoting greater compliance and trustworthiness."

The project's findings will be made public to provide operators of critical infrastructure easy access to the information.