NAOJ: AI Tool to Predict the Structure of the Universe

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NAOJ: AI Tool to Predict the Structure of the Universe

Post by bystander » Fri Feb 07, 2020 6:03 pm

Artificial Intelligence Tool Developed to Predict the Structure of the Universe
National Astronomical Observatory of Japan | 2020 Feb 05
An example of the virtual Universe created by 'ATERUI II' supercomputer. It shows the
distribution of about 10 billion particles in a volume encompassing about 4.9 billion
light years evolved until today. It takes about 2 days using 800 CPU cores in 'ATERUI II'.
(Credit: YITP)

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. 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 ... 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. ...

Dark Quest. I. Fast and Accurate Emulation of Halo Clustering
Statistics and Its Application to Galaxy Clustering
~ Takahiro Nishimichi et al
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