✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Later, it will be possible to upgrade the system by changing th algorithm and adding 1 or 2 additional DM, and even laser guide stars.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:What we propose for DAG is therefore a natural guide star GLAO system, that can be turned into a highly efficient AO system.
📊
Key Findings & Data:Thus the working principle and expected performance analysis will be shown.
💡
Conclusion & Impact:Later, it will be possible to upgrade the system by changing th algorithm and adding 1 or 2 additional DM, and even laser guide stars.
🔬Design:Konferans Bildirisi
📍Scope:Comprehensive Sample
⚙️Variables:instrumentation: adaptive optics · observatories · telescopes
Abstract
What we propose for DAG is therefore a natural guide star GLAO system, that can be turned into a highly efficient AO system. Thus the working principle and expected performance analysis will be shown. In this manner most DAG users will be able to make some use of the DAG AO. Later, it will be possible to upgrade the system by changing th algorithm and adding 1 or 2 additional DM, and even laser guide stars.
🔖
Cite This Article
Keskin, O., Jolıssaınt, L. (2020). Adaptive Optics for DAG Telescope. Turkish Journal of Astronomy and Astrophysics, Cilt: 1 Sayı: 1 Özel Sayı, 93–93. https://ajindex.com/articles/1555492