Skip to content

Makoto Uemura （植村 誠）

Hiroshima Astrophysical Science Center, Hiroshima University

  • Home
  • CV
  • Projects
  • Publications
  • Presentations
  • Software
  • Documents

Data-driven approach to Type Ia supernovae

2015-12-18 uemuram

High-Dimensional Data Driven Science (HD3-2015), 14-17 Dec. 2015, Kyoto, Japan,

Talk

Download (PDF, 1.63MB)

 

  • 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)

  • 主成分分析と動的モード分解　〜時系列高次元データの特徴抽出〜 2024-11-28主成分分析と動的モード分解　〜時系列高次元データの特徴抽出〜
  • 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
WordPress Theme: Dynamic News by ThemeZee.