2023 Fiscal Year Annual Research Report
A Data Scientific Approach to Elucidate Multi-scale Physics of Galaxies in the Cosmos
| Project/Area Number |
22KJ1537
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| Allocation Type | Multi-year Fund |
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| Research Institution | National Astronomical Observatory of Japan |
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Principal Investigator |
COORAY Suchetha 国立天文台, 科学研究部, 特別研究員(PD)
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| Project Period (FY) |
2023-03-08 – 2024-03-31
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| Keywords | Galaxy formation / Cosmology / Machine learning |
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| Outline of Annual Research Achievements |
This research invloves building a data-driven model of galaxy formation. Key question include answering the connection betweek galaxies and their host dark matter halos, what is controlling the formation of stars, and what is driving the diversity of oberved galaxies from the past, current, and future galaxy surveys. Answering there question help us understand how our own galaxy Milky Way, and ultimately Earth formed and evolved. Understanding galaxies is also invaluable for understanding the cosmology as properties and their spatial distributions are key probes. Therefore a complete understanding of multi-scale physics is necessary. As for now, we do not have a suffiecnt model coming from first principles. Therefore, we aim to build a data-driven model as a first step.
Over the past year, my research has focused on building a new model of dust attenuation, which is necessary to understand the properties of galaxies more accurately from observations. I am now combining the dust model with a new galaxy formation model that understands the connection between the galaxy properties and dark matter. This will allow for more accurate simualtion of galaxies in the universe. In addition, I have made significant progress towards the goal of the project by building the network with foreign institutions. Consequently, that has allowed me to obtain a postdoctoral fellowship position at Stanford University after the period of the JSPS Fellowship. I will be further developing the new galaxy formation model at Stanford.
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