The path to agile extreme adaptive optics at the Large Binocular Telescope Observatory

Abstract

The Large Binocular Telescope Observatory (LBTO) has pioneered major advancements in Adaptive Optics (AO) technologies, including the development of the adaptive secondary mirror (ASM), the pyramid wavefront sensor (PWFS), and ground-layer AO (GLAO) utilizing Rayleigh lasers for 8- to 10-meter class telescopes. We present an overview of these development efforts, which include refurbishing the Magellan ASM as a spare for the LBT, improving system robustness, and increasing automation. These maintenance and stabilization strategies are coupled with a forward-looking roadmap to transform LBTO AO into Agile Extreme Adaptive Optics (AgXAO) systems. This evolution incorporates machine learning, real-time turbulence monitoring, and the ALTA weather forecasting framework to optimize performance under highly variable and challenging seeing conditions. Finally, we contextualize LBTO’s AO operations and technological advancements within the era of Extremely Large Telescopes (ELTs), highlighting the observatory's role as a vital testbed for advanced wavefront control algorithms, astrophotonics experiments, and machine learning applications. Ultimately, these efforts aim to push large-aperture ground-based telescopes to their performance limits—rivaling space-based observatories in high-contrast detection and PSF stability—to enable groundbreaking scientific discoveries.