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Artificial Intelligence tool developed to predict the structure of the Universe

05-12-2020 Takahiro Nishimichi (1,2), Masahiro Takada (1), Ryuichi Takahashi (3), Ken Osato (4), Masato Shirasaki (5), Taira Oogi (1), Hironao Miyatake (1,6,7), Masamune Oguri (1,4,8), Ryoma Murata (1,4), Yosuke Kobayashi (1,4), and Naoki Yoshida (1,4,8); 1. Kavl 0 comments

The origin of how the Universe created its voids and filaments can now be studied within seconds after researchers developed an artificial intelligence tool called Dark Emulator.

Advancements in telescopes have enabled researchers to study the Universe with greater detail, and to establish a standard cosmological model that explains various observational facts simultaneously. But there are many things researchers still do not understand. Remarkably, the majority of the Universe is made up of dark matter and dark energy, of which no one has been able to identify its nature. A promising avenue to solve these mysteries is the structure of the Universe. Today’s Universe is made up of filaments where galaxies cluster together and look like threads from far away, and voids where there appears to be nothing (image 1). The discovery of the cosmic microwave background has given researchers a snapshot of what the Universe looked like close to its beginning, and understanding how its structure evolved to what it is today would reveal valuable characteristics about what dark matter and dark energy is.

A team of researchers, including Kyoto University Yukawa Institute for Theoretical Physics Project Associate Professor Takahiro Nishimichi, and Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU) Principal Investigator Masahiro Takada, used the world’s fastest astrophysical simulation supercomputers ATERUI and ATERUI II to develop the Dark Emulator. Using the emulator on data recorded by several of the world’s largest observational surveys allows researchers to study possibilities concerning the origin of cosmic structures, and how dark matter distribution could have changed over time. Read more about here: https://www.asiaresearchnews.com/content/artificial-intelligence-tool-developed-predict-structure-universe


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