Machine Learning ‘Phones Home’ for Famous ‘Black Beauty’ Martian Meteorite

Black Beauty meteorite.
Fragment of the Black Beauty meteorite. (Image: via NASA)

Using a multidisciplinary approach involving a machine learning algorithm, the new research – published in Nature Communications – identified the particular crater on Mars that ejected the so-called ‘Black Beauty’ meteorite, weighing 320 grams, and paired stones, which were first reported as being found in northern Africa in 2011.

The distribution of 90 million craters on the surface of Mars obtained from the Crater Detection Algorithm. Colors indicate crater size and their intensities are linked to the crater density on the surface. Blue spots and rayed patterns are associated with the youngest and largest craters formed on the surface. The red circle pinpoints the Karratha crater that has ejected the Black Beauty meteorite. (Image: Lagain et al via Curtin University)

Black Beauty is the only brecciated Martian sample available on Earth

The researchers have named the specific Mars crater after the Pilbara city of Karratha, located more than 1500km north of Perth in Western Australia, which is home to one of the oldest terrestrial rocks. Lead author Dr. Anthony Lagain, from Curtin’s Space Science and Technology Centre in the School of Earth and Planetary Sciences, said the exciting discovery offered never-before-known details about the Martian meteorite NWA 7034, known as “Black Beauty,” which is widely studied across the globe. Black Beauty is the only brecciated Martian sample available on Earth, meaning it contains angular fragments of multiple rock types cemented together, which is different from all other Martian meteorites that contain single rock types, Dr. Lagain said:

“For the first time, we know the geological context of the only brecciated Martian sample available on Earth, 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.

“Finding the region where the ‘Black Beauty’ meteorite originates is critical because it contains the oldest Martian fragments ever found, aged at 4.48 billion years old, and it shows similarities between Mars’ very old crust, aged about 4.53 billion years old, and today’s Earth continents. The region we identify as being the source of this unique Martian meteorite sample constitutes a true window into the earliest environment of the planets, including the Earth, which our planet lost because of plate tectonics and erosion.”

The discovery was made thanks to an algorithm that was developed in-house at Curtin by an interdisciplinary group that included members from the Curtin Institute for Computation and the School of Civil and Mechanical Engineering, as well as the Pawsey Supercomputing Research Centre and the Australian Space Data Analysis Facility, with funding from the Australian Research Council. Using one of the fastest supercomputers in the Southern Hemisphere at the Pawsey Supercomputing Research Centre, and the Curtin HIVE (Hub for Immersive Visualisation and eResearch), researchers analyzed a very large volume of high-resolution planetary images through a machine learning algorithm to detect impact craters.

Mars meteorite analysis. Left, artistic impression of where an asteroid hit the surface of Mars 5-10Ma ago, ejected Black Beauty and its transit to the Earth (white line).
Mars meteorite analysis. Left, artistic impression of where an asteroid hit the surface of Mars 5-10Ma ago, ejected Black Beauty and its transit to the Earth (white line). On the right, the dataset and methods used to identify the ejection site of the meteorite. (Image: Anthony Lagain via Curtin University)

Co-author Professor Gretchen Benedix, also from Curtin’s Space Science and Technology Centre in the School of Earth and Planetary Sciences, said this research paved the way to locate the ejection site of other Martian meteorites, in order to create the most exhaustive view of the Red Planet’s geological history, Professor Benedix said:

“We are also adapting the algorithm that was used to pinpoint Black Beauty’s point of ejection from Mars to unlock other secrets from the Moon and Mercury.

“This will help to unravel their geological history and answer burning questions that will help future investigations of the Solar System such as the Artemis program to send humans on the Moon by the end of the decade or the BepiColombo mission, in orbit around Mercury in 2025.”

The distribution of 90 million craters on the surface of Mars obtained from the Crater Detection Algorithm.
The distribution of 90 million craters on the surface of Mars obtained from the Crater Detection Algorithm. Colors indicate crater size and their intensities are linked to the crater density on the surface. Blue spots and rayed patterns are associated with the youngest and largest craters formed on the surface. The red circle pinpoints the Karratha crater that ejected the Black Beauty meteorite. (Image: Lagain et al. 2022 via Nature Communications)

The full paper, ‘Early crustal processes revealed by the ejection site of the oldest Martian meteorite’, can be viewed online here.

Provided by Curtin University [Note: Materials may be edited for content and length.]

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  • Troy Oakes

    Troy was born and raised in Australia and has always wanted to know why and how things work, which led him to his love for science. He is a professional photographer and enjoys taking pictures of Australia's beautiful landscapes. He is also a professional storm chaser where he currently lives in Hervey Bay, Australia.

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