2018 Fiscal Year Final Research Report
Observing where the huge kinetic energy from merging clusters of galaxies goes
| Project/Area Number |
15H03639
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Astronomy
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| Research Institution | Nagoya University (2016-2018)
The University of Tokyo (2015) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
赤堀 卓也 鹿児島大学, 理工学研究科, 特任准教授 (70455913)
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| Research Collaborator |
TAKIZAWA MOTOKAZU
KATO YUICHI
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | 銀河団 / 衝突銀河団 / X線 / GHz 電波 / 硬X線検出器 / 非熱的エネルギー |
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| Outline of Final Research Achievements |
Kinetic energy released in merging cluster of galaxies initiates, hot gas heating, turbulence, particle acceleration, and magnetic field amplification. To understand how the initial energy is converted into those non-thermal energies, we performed two research works. Firstly, we observed the early-phase merging cluster CIZA J1358.9-4750 with three X-ray observatories and GHz radio, and confirmed it is really in its early phase. Secondly, we aimed at observing such merging clusters with ASTRO-H satellite, capable of fine doppler imaging and high-temperature hottest gas detection. In this work, we performed optimization of detector operation and analysis parameters of the Hard X-ray Imager (HXI). After the launch in 2016/2. we verified the world's best sensitivity of the HXI in orbit. Right before actual observations start, the satellite was lost. Based on these achievements, we obtained a set of technical lessons to be used for future high-sensitivity hard X-ray survey.
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| Free Research Field |
宇宙X線天文学
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| Academic Significance and Societal Importance of the Research Achievements |
宇宙最大の天体が合体する「銀河団衝突」の中では、莫大なエネルギーが解放され、加熱、乱流、粒子加速などが起きる。しかし、そのエネルギーがどこへ行くかは解明されていない。既存のX線衛星、電波観測で研究を続けつつ、最新のX線衛星ASTRO-Hで、運動エネルギーや加熱をかつてない精度で観測することを目指した。2016年2月に打ち上げられ、担当していた硬X線検出器も世界最高の感度を達成したが、衛星喪失による本格観測には至らなかった。しかし、これまで難しいとされてきた硬X線での高感度観測のレシピを確立し実証できたことで、将来計画をより高性能にできる。
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