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Makoto Uemura （植村 誠）

Hiroshima Astrophysical Science Center, Hiroshima University

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High-Dimensional Data-Driven Approach to Type Ia Supernovae

2016-08-22 uemuram

Supernovae through the ages, 8-13 Aug. 2016, Easter island, Chile,

Poster

Download (PDF, 1.79MB)

 

  • workshop

Recent Presentation

  • Smart Kanata: An Autonomous Decision Making System in Rapid Follow-up Observations of Cataclysmic Variables 2024-10-22Smart Kanata: An Autonomous Decision Making System in Rapid Follow-up Observations of Cataclysmic Variables
  • Statistical modeling + Shallow machine learning 2024-09-02Statistical modeling + Shallow machine learning
  • Automated Decision Making in Rapid Follow-up Observations of Cataclysmic Variables 2024-02-01Automated Decision Making in Rapid Follow-up Observations of Cataclysmic Variables
  • Follow-up observations of galactic transients with astroinformatics 2022-01-12Follow-up observations of galactic transients with astroinformatics
  • Finding Features in Erratic Polarization Variations of Blazars 2021-03-26Finding Features in Erratic Polarization Variations of Blazars

研究会 (Japanese presentation)

  • Smart Kanata による新星 V4370 Oph 極大前の自動分光観測 2024-09-11Smart Kanata による新星 V4370 Oph 極大前の自動分光観測
  • ガウス過程と局所解とMCMC 2024-08-02ガウス過程と局所解とMCMC
  • 多色測光による激変星の研究 2024-02-21多色測光による激変星の研究
  • Data Science in Astronomy and Observation of Galactic Transients 2023-12-12Data Science in Astronomy and Observation of Galactic Transients
  • 激変星の突発現象観測とデータサイエンス 2023-06-04激変星の突発現象観測とデータサイエンス
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