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 current and future large astronomical surveys.
@article{arxiv.1407.8179,
title = {High-efficiency Autonomous Laser Adaptive Optics},
author = {Christoph Baranec and Reed Riddle and Nicholas M. Law and A. N. Ramaprakash and Shriharsh Tendulkar and Kristina Hogstrom and Khanh Bui and Mahesh Burse and Pravin Chordia and Hillol Das and Richard Dekany and Shrinivas Kulkarni and Sujit Punnadi},
journal= {arXiv preprint arXiv:1407.8179},
year = {2014}
}
Comments
Published in ApJL. 6 pages, 4 figures, and 1 table