| Project/Area Number |
16H07414
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Astronomy
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| Research Institution | National Astronomical Observatory of Japan |
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Principal Investigator |
Konishi Mihoko 国立天文台, 光赤外研究部, 特任研究員 (30780952)
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| Project Period (FY) |
2016-08-26 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | 褐色矮星 / 光学赤外線天文学 |
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| Outline of Final Research Achievements |
Several ultracool brown dwarfs have been found by recent deep observations. Understanding how such brown dwarfs form and how they are distributed in Milky Way is a crucial key to elucidate the details of both star and planet formation. Infrared surveys with space telescopes have been mainly used to detect and to characterize the ultracool brown dwarfs. On the other hand, properties of the brown dwarfs became able to be investigated also in the optical region, thanks to the recent instrument, such as Hyper Suprime-Cam (HSC) on Subaru Telescope. The purpose of this study is to establish new indices to distinguish/characterize ultracool brown dwarfs and to identify new brown dwarfs by adapting deep learning methods to HSC survey data.
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