研究者業績
基本情報
- 所属
- 国立研究開発法人宇宙航空研究開発機構 宇宙科学研究所 教授
- 学位
- 博士（理学）(東京大学)
- 研究者番号
- 10392820
- ORCID ID
https://orcid.org/0000-0002-8071-3398- J-GLOBAL ID
- 200901069192864044
- researchmap会員ID
- 1000315975
- 外部リンク
経歴
1-
2004年6月 - 現在
学歴
1-
- 2003年
論文
254-
Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年8月8日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年8月5日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年8月5日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023) 2023年7月25日
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34th ISTS (International Symposium on Space Technology and Science) 2023-m-10 2023年6月9日
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34th ISTS (International Symposium on Space Technology and Science) 2023-m-09 2023年6月9日
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34th ISTS (International Symposium on Space Technology and Science) 2023-m-06 2023年6月9日
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34th ISTS (International Symposium on Space Technology and Science) 2023-m-05 2023年6月9日 筆頭著者責任著者
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Journal of Evolving Space Activities 1 22 2023年6月7日 査読有り筆頭著者責任著者
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Physical Review Letters 130(21) 2023年5月25日 査読有り
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Physical Review Letters 130(17) 2023年4月27日 査読有り
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Journal of Evolving Space Activities 1 25 2023年4月24日 査読有り
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Journal of Evolving Space Activities 1 9 2023年4月19日 査読有りThe General Antiparticle Spectrometer (GAPS) is a balloon-borne experiment that aims to measure low-energy cosmicray antiparticles. GAPS has developed a new antiparticle identification technique based on exotic atom formation caused by incident particles, which is achieved by ten layers of Si(Li) detector tracker in GAPS. The conventional analysis uses the physical quantities of the reconstructed incident and secondary particles. In parallel with this, we have developed a complementary approach based on deep neural networks. This paper presents a new convolutional neural network (CNN) technique. A three-dimensional CNN takes energy depositions as three-dimensional inputs and learns to identify their positional/energy correlations. The combination of the physical quantities and the CNN technique is also investigated. The findings show that the new technique outperforms existing machine learning-based methods in particle identification.
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Journal of Evolving Space Activities 1 2 2023年4月19日 査読有り筆頭著者責任著者This study developed a novel thermal control system to cool detectors of the General AntiParticle Spectrometer (GAPS) before its flights. GAPS is a balloon-borne cosmic-ray observation experiment. In its payload, GAPS contains over 1000 silicon detectors that must be cooled below −40℃. All detectors are thermally coupled to a unique heat-pipe system (HPS) that transfers heat from the detectors to a radiator. The radiator is designed to be cooled below −50℃ during the flight by exposure to space. The pre-flight state of the detectors is checked on the ground at 1 atm and ambient room temperature, but the radiator cannot be similarly cooled. The authors have developed a ground cooling system (GCS) to chill the detectors for ground testing. The GCS consists of a cold plate, a chiller, and insulating foam. The cold plate is designed to be attached to the radiator and cooled by a coolant pumped by the chiller. The payload configuration, including the HPS, can be the same as that of the flight. The GCS design was validated by thermal tests using a scale model. The GCS design is simple and provides a practical guideline, including a simple estimation of appropriate thermal insulation thickness, which can be easily adapted to other applications.
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1049 168102-168102 2023年2月2日 査読有り筆頭著者責任著者
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Physical Review Letters 129(25) 2022年12月16日 査読有り
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Astroparticle Physics 102791-102791 2022年10月 査読有り
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Physical Review Letters 129(10) 2022年9月1日 査読有り
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The Astrophysical Journal 933(1) 85-85 2022年7月1日 査読有りAbstract The CALorimetric Electron Telescope (CALET) on the International Space Station consists of a high-energy cosmic-ray CALorimeter (CAL) and a lower-energy CALET Gamma-ray Burst Monitor (CGBM). CAL is sensitive to electrons up to 20 TeV, cosmic-ray nuclei from Z = 1 through Z ∼ 40, and gamma rays over the range 1 GeV–10 TeV. CGBM observes gamma rays from 7 keV to 20 MeV. The combined CAL-CGBM instrument has conducted a search for gamma-ray bursts (GRBs) since 2015 October. We report here on the results of a search for X-ray/gamma-ray counterparts to gravitational-wave events reported during the LIGO/Virgo observing run O3. No events have been detected that pass all acceptance criteria. We describe the components, performance, and triggering algorithms of the CGBM—the two Hard X-ray Monitors consisting of LaBr3(Ce) scintillators sensitive to 7 keV–1 MeV gamma rays and a Soft Gamma-ray Monitor BGO scintillator sensitive to 40 keV–20 MeV—and the high-energy CAL consisting of a charge detection module, imaging calorimeter, and the fully active total absorption calorimeter. The analysis procedure is described and upper limits to the time-averaged fluxes are presented.
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1034 166820-166820 2022年7月 査読有り
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Proceedings of Science 398 2022年5月12日
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33rd ISTS (International Symposium on Space Technology and Science) 2022年3月3日
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33rd ISTS (International Symposium on Space Technology and Science) 1 n/a 2022年3月3日 筆頭著者責任著者This study developed a novel thermal control system to cool detectors of the General AntiParticle Spectrometer (GAPS) before its flights. GAPS is a balloon-borne cosmic-ray observation experiment. In its payload, GAPS contains over 1000 silicon detectors that must be cooled below −40℃. All detectors are thermally coupled to a unique heat-pipe system (HPS) that transfers heat from the detectors to a radiator. The radiator is designed to be cooled below −50℃ during the flight by exposure to space. The pre-flight state of the detectors is checked on the ground at 1 atm and ambient room temperature, but the radiator cannot be similarly cooled. The authors have developed a ground cooling system (GCS) to chill the detectors for ground testing. The GCS consists of a cold plate, a chiller, and insulating foam. The cold plate is designed to be attached to the radiator and cooled by a coolant pumped by the chiller. The payload configuration, including the HPS, can be the same as that of the flight. The GCS design was validated by thermal tests using a scale model. The GCS design is simple and provides a practical guideline, including a simple estimation of appropriate thermal insulation thickness, which can be easily adapted to other applications.
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33rd ISTS (International Symposium on Space Technology and Science) 1 n/a 2022年3月2日The General Antiparticle Spectrometer (GAPS) is a balloon-borne experiment that aims to measure low-energy cosmicray antiparticles. GAPS has developed a new antiparticle identification technique based on exotic atom formation caused by incident particles, which is achieved by ten layers of Si(Li) detector tracker in GAPS. The conventional analysis uses the physical quantities of the reconstructed incident and secondary particles. In parallel with this, we have developed a complementary approach based on deep neural networks. This paper presents a new convolutional neural network (CNN) technique. A three-dimensional CNN takes energy depositions as three-dimensional inputs and learns to identify their positional/energy correlations. The combination of the physical quantities and the CNN technique is also investigated. The findings show that the new technique outperforms existing machine learning-based methods in particle identification.
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33rd ISTS (International Symposium on Space Technology and Science) 2022年3月1日 筆頭著者責任著者
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33rd ISTS (International Symposium on Space Technology and Science) 2022年3月1日
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33rd ISTS (International Symposium on Space Technology and Science) 2022年3月1日
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Physical Review Letters 128(13) 2022年3月 査読有り
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Applied Thermal Engineering 198 117497-117497 2021年11月 査読有り
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2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) N-28-196 2021年10月21日
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2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) N-09-103 2021年10月20日 筆頭著者責任著者
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11th SOLARIS 2021 (International Symposium on Solar Energy and Efficient Energy Usage) A61 2021年9月29日 筆頭著者責任著者
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Physical Review Letters 126(24) 2021年6月14日 査読有り
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 997 165015-165015 2021年5月 査読有り
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Astroparticle Physics 130 102580-102580 2021年3月 査読有り
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Physical Review Letters 125(25) 251102-251102 2020年12月18日 査読有りIn this paper, we present the measurement of the energy spectra of carbon and oxygen in cosmic rays based on observations with the Calorimetric Electron Telescope on the International Space Station from October 2015 to October 2019. Analysis, including the detailed assessment of systematic uncertainties, and results are reported. The energy spectra are measured in kinetic energy per nucleon from 10 GeV/n to 2.2 TeV/n with an all-calorimetric instrument with a total thickness corresponding to 1.3 nuclear interaction length. The observed carbon and oxygen fluxes show a spectral index change of ∼0.15 around 200 GeV/n established with a significance >3σ. They have the same energy dependence with a constant C/O flux ratio 0.911±0.006 above 25 GeV/n. The spectral hardening is consistent with that measured by AMS-02, but the absolute normalization of the flux is about 27% lower, though in agreement with observations from previous experiments including the PAMELA spectrometer and the calorimetric balloon-borne experiment CREAM.
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2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) N-20-161 2020年11月4日
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2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) N-01-154 2020年11月2日
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Journal of Cosmology and Astroparticle Physics 2020(08) 035-035 2020年8月18日 査読有り
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Advances in Space Research 66(3) 751-752 2020年8月 査読有り
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Physica Scripta 95(7) 074012-074012 2020年7月1日 査読有り
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TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN 18(3) 44-50 2020年5月4日 査読有り
MISC
283-
2025 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) NSS-19-04 (#1633) 2025年11月5日
講演・口頭発表等
165-
62nd International Winter Meeting on Nuclear Physics 2026年1月21日
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TAUP (Topics in Astroparticle and Underground Physics) 2025 2025年8月27日
共同研究・競争的資金等の研究課題
17-
日本学術振興会 科学研究費助成事業 基盤研究(A) 2022年4月 - 2027年3月
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JAXA宇宙科学研究所 小規模計画 2017年7月 - 2027年3月
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宇宙航空研究開発機構宇宙科学研究所 宇宙工学委員会戦略的開発研究費 2025年4月 - 2026年3月
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日本学術振興会 科学研究費助成事業 国際共同研究加速基金(国際共同研究強化(B)) 2022年10月 - 2026年3月
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三菱財団 自然科学研究助成 2019年10月 - 2022年9月
● 指導学生等の数
8-
年度2025年度(FY2025)修士課程学生数1技術習得生の数2その他1
-
年度2024年度(FY2024)修士課程学生数2連携大学院制度による学生数1技術習得生の数3その他2
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年度2023年度(FY2023)博士課程学生数1修士課程学生数1技術習得生の数3その他2
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年度2022年度(FY2022)博士課程学生数1技術習得生の数3その他2
-
年度2021年度(FY2021)博士課程学生数1修士課程学生数2連携大学院制度による学生数2技術習得生の数3
-
年度2020年度(FY2020)博士課程学生数1修士課程学生数2連携大学院制度による学生数3技術習得生の数2
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年度2019年度(FY2019)博士課程学生数1修士課程学生数4連携大学院制度による学生数4技術習得生の数4
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年度2018年度(FY2018)博士課程学生数1修士課程学生数2連携大学院制度による学生数3受託指導学生数1技術習得生の数2
● 専任大学名
1-
専任大学名総合研究大学院大学（SOKENDAI)
● 所属する所内委員会
3-
所内委員会名大樹航空宇宙実験場連絡会
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所内委員会名観測ロケット専門委員会
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所内委員会名大気球専門委員会
