A machine learning algorithm made it easier to understand the nature of dark matter

Scientists hope to better understand the nature of dark matter by validating a machine learning algorithm developed to detect gravitational lenses.

BingMag.com A machine learning algorithm made it easier to understand the nature of dark matter

Scientists hope to better understand the nature of dark matter by validating a machine learning algorithm developed to detect gravitational lenses.

This 88% success rate shows that the developed algorithm is reliable and can be used to identify thousands of gravitational lenses. identified This is despite the fact that under normal conditions, it is difficult to discover gravitational lenses, and so far only about a hundred of them have been routinely used. Journal) provides spectroscopic data from the strongest gravitational lensing previously detected using "Convolutional Neural Networks" developed by data scientist Dr. Colin Jacobs at Astro-TREE and Swinburne University, were identified.

This research is part of the scientific campaign of "Galaxy Evolution with Gravitational Lensing by Astro 3D" (AGEL). "Spectroscopy allowed us to make a 3D map of the gravitational lenses, so we know that these objects are indeed gravitational lenses and not just detected by chance," Tran said of the findings. Our goal at AGEL is to confirm with spectroscopic data about 100 strong gravitational lenses seen throughout the year in the Northern and Southern Hemispheres.

Validating this algorithm to search for specific digital signatures in Asman was made possible with the help of an international collaboration by researchers from Australia, America, England and Chile. Tran pointed out in this context: "With this algorithm, we can verify thousands of gravitational lenses against the few we have."

The phenomenon of "Gravitational Lensing" was first predicted by Einstein. It was stated that the light around huge objects in space is bent, similar to the light passing through a lens. In this way, the image of very distant galaxies that cannot be seen normally will be visible.

While astronomers have been using this method to observe distant galaxies for years, the new algorithm helps to discover more lenses. "These lenses are very small, so if you have a blurry image, you won't be able to see them," Tran continued. They provide depth, help to measure the amount of bending of light, and as a result determine the mass in that particular region of space. Most matter is dark and we know that the existence of matter bends light. "So if we can measure how much light bends, we know how much matter there must be." Cosmic history goes back almost to the time of the Big Bang. "Having more magnifying lenses gives us a better chance of seeing distant objects and gives us a better census of very young, distant galaxies," Tran said. And we, many evolutionary events are happening; From the small star formation regions that turn the primordial gas into the first stars to the Sun in the Milky Way. And thus, with these lenses at different distances, we can look at different points in the history of the universe to understand the change process of various objects from the beginning of the universe until now."

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Professor Stuart Wythe from the University of Melbourne and director of AstroTreedy also pointed out that each gravitational lens tells us something new. "Gravitational lensing, apart from being objects of beauty, provides a window to study the mass distribution in very distant galaxies that cannot be seen by other methods," he added. By introducing a way to use this huge data set in the search for new gravitational lenses, an opportunity has been provided to see how galaxies grow." The new find said: "This The algorithm was developed by Dr. Colin Jacobs. He sifted through tens of millions of images of galaxies to find 5,000 samples. We never thought the success rate would be so high." He added: "Now we are imaging these gravitational lenses with the Hubble Space Telescope. The images will range from attractive and beautiful galaxies to amazing and unimaginable images." Dr. Tucker Jones from the University of Davis, another collaborator of this study, also noted: "A big step. It has been removed in the way of learning how galaxies form and the history of the universe." He added: "Normally, these primordial galaxies look like faint bubbles, but by being magnified by gravitational lensing, we can see their structure with better resolution. let's see They are ideal targets for our most powerful telescopes and give us a glimpse into the early universe."

And that's how "thanks to the gravitational lensing effect, we can understand what these early galaxies looked like, what they were made of, and How they interact with their environment.

Cover photo: A graphic design of dark matter
Credit: ASTRO 3D.SciTechDaily

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