Abstract
This proceedings paper summarizes the research on the application of deep learning techniques in modeling the solar photosphere. The study explores the challenges of precisely modeling the complex and variable photosphere and introduces generative adversarial networks as an innovative approach to capture physical structures without direct reliance on MHD equations.
| Original language | English |
|---|---|
| Pages (from-to) | 56-57 |
| Number of pages | 2 |
| Journal | Revista Mexicana de Astronomia y Astrofisica: Serie de Conferencias |
| Volume | 60 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 17th Latin American Regional IAU Meeting, LARIM 2023 - Montevideo, Uruguay Duration: 27 Nov 2023 → 1 Dec 2023 |
Keywords
- artificial intelligence
- modelling
- Sun: magnetic field
- Sun: photosphere
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