Now, some Japanese astronomers have developed a new AI technique that removes the noise in astronomical data due to the variations happening in the galaxy shapes. After long training and testing on the large mock data which is created by supercomputer simultaneously.
Then they applied the new tool/technique to the real data which is collected by the Subaru Telescope of Japan and later found that the distribution of mass is derived by using this method. This new tool is very powerful for analyzing big data from current and planned surveys of astronomy.
Wide area survey data can be used to study the large-scale structure of the Universe with the help of measurements of gravitational lensing patterns.
Astronomers AI, In the process of gravitational lensing, the gravity of the foreground object such as the cluster of galaxies that can distort the real image of an object in the background such as galaxies on more distance.
There are so many examples of gravitational lensing that are one of them is “Eye of Horus”. The large-scale structure of galaxies consists of mostly mysterious “dark” in the matter and also can distort the shapes of distant galaxies, but they also expect that the lensing effect is subtle. On average over so many galaxies in an area are required to create a map on the foreground of the distribution of dark matter.
The technique of looking at so many images of the galaxy turned into a big problem and some of the galaxies look funny. Sometimes it seems difficult to differentiate between the images of galaxies that are distorted by gravitational lensing and a galaxy that is distorted.
This technique is referred to as shape the noise and is one of the factors that are limiting in the research of studying the large-scale structure of the whole Universe.
This research shows all the possible benefits of combining different types of research and observations simultaneously and the data which is analyzed by Artificial Intelligence, stated by Masato Shriasaki, the one who is in charge of the ongoing research.
Astronomers AI, In the time of big data, everyone needs to step across the traditional boundaries between specialties and use every possible tool the understand the projected data. If this can be possible it would be opening a new field in the terms of astronomy and other scientific technologies.
