LBT SOUL data as a science test bench for MICADO PSF-R tool
Matteo Simioni, Carmelo Arcidiacono, Roland Wagner, Andrea Grazian,, Marco Gullieuszik, Elisa Portaluri, Benedetta Vulcani, Anita Zanella, Guido, Agapito, Richard Davies, Tapio Helin, Fernando Pedichini, Roberto Piazzesi,, Enrico Pinna, Ronny Ramlau, Fabio Rossi, Aleksi Salo

TL;DR
This paper evaluates a PSF reconstruction algorithm for adaptive optics systems using real LBT SOUL data, demonstrating high accuracy in reconstructing PSF parameters crucial for next-generation telescopes like the ELT.
Contribution
It presents the first application of a blind PSF-R algorithm to real AO data, validating its performance and readiness for use in MICADO on the ELT.
Findings
Reconstructed SR and FWHM with errors below 2% and 4.5%.
Algorithm successfully tested on actual LBT SOUL data.
Demonstrates potential for accurate PSF characterization in future AO instruments.
Abstract
Current state-of-the-art adaptive optics (AO) provides ground-based, diffraction-limited observations with high Strehl ratios (SR). However, a detailed knowledge of the point spread function (PSF) is required to fully exploit the scientific potential of these data. This is even more crucial for the next generation AO instruments that will equip 30-meter class telescopes, as the characterization of the PSF will be mandatory to fulfill the planned scientific requirements. For this reason, there is a growing interest in developing tools that accurately reconstruct the observed PSF of AO systems, the so-called PSF reconstruction. In this context, a PSF-R service is a planned deliverable for the MICADO@ELT instrument and our group is in charge of its development. In the case of MICADO, a blind PSF-R approach is being pursued to have the widest applicability to science cases. This means that…
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Taxonomy
TopicsAdaptive optics and wavefront sensing · Advanced Measurement and Metrology Techniques · Optical Systems and Laser Technology
