The Provence Adaptive optics Pyramid Run System (PAPYRUS) is a pyramid-based Adaptive Optics (AO) system that will be installed at the Coude focus of the 1.52m telescope (T152) at the Observatoire de Haute Provence (OHP). The project is being developed by PhD students and Postdocs across France with support from staff members consolidating the existing expertise and hardware into an RD testbed. This testbed allows us to run various pyramid wavefront sensing (WFS) control algorithms on-sky and experiment on new concepts for wavefront control with additional benefit from the high number of available nights at this telescope. It will also function as a teaching tool for students during the planned AO summer school at OHP. To our knowledge, this is one of the first pedagogic pyramid-based AO systems on-sky. The key components of PAPYRUS are a 17x17 actuators Alpao deformable mirror with a Alpao RTC, a very low noise camera OCAM2k, and a 4-faces glass pyramid. PAPYRUS is designed in order to be a simple and modular system to explore wavefront control with a pyramid WFS on sky. We present an overview of PAPYRUS, a description of the opto-mechanical design and the current status of the project.
KEYWORDS: Adaptive optics, Wavefront sensors, Cameras, Deformable mirrors, Wavefronts, Actuators, System integration, Sensors, Electron multiplying charge coupled devices, Control systems
An adaptive optics system running at 1500 Hz was integrated using commercially available components. The deformable mirror was made by Alpao and has 277 actuators on a 1:5mm pitch. The wavefront sensor is based on the OCAM2 EMCCD (Electron-multiplying charge-coupled device) camera from First Light Imaging and a 20×20 lenslet array. We present an initial system integration phase using the Alpao Core Engine toolbox running in a Matlab® environment. During the second integration phase, benchmark tests for Alpao's real-time controller ACEfast show the possibility to obtain a pure delay of τ = 130 µs in a parallel worker configuration with a computing power of 2 CPU/8 core + 4GPU for a problem size equivalent to state-of-the-art adaptive optics systems.
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