The Earth Dynamics Research Group is going planetary!
Luc Doucet is co-author of a study lead by Dr Anthony Lagain, from Curtin University’s Space Science and Technology Centre that pinpointed the likely origin of a group of meteorites ejected from Mars, using a machine learning algorithm that analyses high-resolution planetary images.
The new research, published in Nature Communications, identified meteorites that landed on Earth which likely originated from Mars’ Tooting crater, located in the Tharsis region, which is the largest volcanic province in the solar system.
About 166 Martian rocks have landed on Earth over the past 20 million years, however their precise origins on Mars were unknown.
Lead researcher Dr Anthony Lagain, from Curtin University’s Space Science and Technology Centre in the School of Earth and Planetary Sciences, said the new findings would help provide the context to unravel the geological history of the Red Planet.
“In this study, we compiled a new database of 90 million impact craters using a machine learning algorithm that allowed us to determine the potential launch positions of Martian meteorites,” Dr Lagain said.
“By observing the secondary crater fields – or the small craters formed by the ejecta that was thrown out of the larger crater formed recently on the planet, we found that the Tooting crater is the most likely source of these meteorites ejected from Mars 1.1 million years ago.
“For the first time, through this research, the geological context of a group of Martian meteorites is accessible, 10 years before NASA’s Mars Sample Return mission is set to send back samples collected by the Perseverance rover currently exploring the Jezero crater.”
Co-Lead Professor Gretchen Benedix, also from Curtin University’s Space Science and Technology Centre, said the algorithm that made this possible was a major step forward in how scientists can use the terabytes of planetary data available.
“We would not have been able to recognise the youngest craters on Mars without counting the tens of millions of craters smaller than one kilometre across,” Professor Benedix said.
“This finding implies that volcanic eruptions occurred in this region 300 million years ago, which is very recent at a geological time scale. It also provides new insights on the structure of the planet, beneath this volcanic province.”
Dr Lagain said the research would help create a better understanding of the formation and the evolution of Mars, as well as Earth, potentially offering benefits for other industry sectors on our planet.
“Many of Earth’s craters are yet to be discovered and mapped, so the algorithm we developed for Mars can also be retrained and applied to Earth to assist with managing agriculture, the environment and even potentially natural disasters such as fires or floods,” Dr Lagain said.
The algorithm was developed in-house by an interdisciplinary group that included members from CSIRO, the Curtin Institute for Computation and the School of Civil and Mechanical Engineering with funding from the Australian Research Council.
Using the fastest supercomputer in the Southern Hemisphere, the Pawsey Supercomputing Centre, and the Curtin HIVE (Hub for Immersive Visualisation and eResearch), researchers analysed a very large volume of high-resolution planetary images through a machine learning algorithm to detect impact craters.
The research also involved experts from Curtin’s Space Science and Technology Centre, Curtin’s Earth Dynamics Research Group, the Western Australian Museum, the CSIRO – Pawsey Supercomputing Centre, the University of Toulouse in France, and the University Félix Houphouët-Boigny in Ivory Coast.
The full paper can be viewed online here.
Contact person: Dr Luc Doucet, Earth Dynamics Research Group, Curtin University.
Relevant publication:
Lagain, A., Benedix, G.K., Servis, K., Baratoux, D., Doucet, L.S., Rajšic, A., Devillepoix, H.A.R., Bland, P.A., Towner, M.C., Sansom, E.K., Miljković, K., 2021. The Tharsis mantle source of depleted shergottites revealed by 90 million impact craters. Nature Communications 12, 6352. https://doi.org/10.1038/s41467-021-26648-3
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