| Project/Area Number |
20K14464
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Hartwig Tilman 東京大学, 大学院理学系研究科(理学部), 助教 (00843434)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2022: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | Artificial Intelligence / Machine Learning / Astronomy / Data Science / Stellar Parameters / Milky Way / Citizen Science / Astrophysics / Spectroscopy / Stellar Archaeology |
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| Outline of Research at the Start |
2020 (Design): First public lectures, preparation of data
2021 ("First Light"): PFS starts to operate, analysis of benchmark stars, second public lecture
2022 (Data Analysis): Application of citizen-developed, AI-based pipeline to PFS spectra.
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| Outline of Final Research Achievements |
We proposed to develop a novel spectral analysis pipeline, based on convolutional neural networks, to maximize the information gain for the upcoming Subaru Prime Focus Spectrograph. With an international team of collaborators, we started the development of such a tool in order to understand star formation in the early Universe by analyzing the chemical composition of old, metal-poor stars in the Milky Way. We wanted to optimize the convolutional neural network as a citizen science project, preceded by a series of public lectures on Artificial Intelligence (AI). However, we had to adapt our plans due to Covid.
The final pipeline will allow the community to extract stellar parameters, such as chemical composition, of thousands of stars in real time for upcoming observations.
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| Academic Significance and Societal Importance of the Research Achievements |
We made significant contributions to the data analysis pipeline of the Prime Focus Spectrograph on the Japanese Subaru Telescope. Despite delays caused by the Covid pandemic, we developed new tools, shared our data with the public, and prepared the scientific data analysis.
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