深層学習による天文観測データの欠損補完と天文シミュレーションソフトの開発

• Project/Area Number: 25K07373
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 16010:Astronomy-related
• Research Institution: Rikkyo University
• Principal Investigator: 加藤 恒彦 立教大学, 人工知能科学研究科, 特任教授 (90413955)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2026: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2025: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)