High-efficiency Autonomous Laser Adaptive Optics
Christoph Baranec, Reed Riddle, Nicholas M. Law, A. N. Ramaprakash,, Shriharsh Tendulkar, Kristina Hogstrom, Khanh Bui, Mahesh Burse, Pravin, Chordia, Hillol Das, Richard Dekany, Shrinivas Kulkarni, and Sujit Punnadi

TL;DR
This paper presents Robo-AO, an autonomous laser adaptive optics system that significantly enhances imaging resolution and efficiency for astronomical surveys, enabling rapid follow-up of numerous celestial objects.
Contribution
Introduction of Robo-AO, a fully autonomous laser adaptive optics system that increases imaging throughput and resolution for small telescopes, addressing current limitations in survey follow-up.
Findings
Imaged over 200 objects per night autonomously
Achieved 10 times sharper images at visible wavelengths
Enhanced the efficiency of 1-3 m class telescopes
Abstract
As new large-scale astronomical surveys greatly increase the number of objects targeted and discoveries made, the requirement for efficient follow-up observations is crucial. Adaptive optics imaging, which compensates for the image-blurring effects of Earth's turbulent atmosphere, is essential for these surveys, but the scarcity, complexity and high demand of current systems limits their availability for following up large numbers of targets. To address this need, we have engineered and implemented Robo-AO, a fully autonomous laser adaptive optics and imaging system that routinely images over 200 objects per night with an acuity 10 times sharper at visible wavelengths than typically possible from the ground. By greatly improving the angular resolution, sensitivity, and efficiency of 1-3 m class telescopes, we have eliminated a major obstacle in the follow-up of the discoveries from…
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