On-axis point spread function reconstruction performance validation for Keck NIRC2

Sanchit Sabhlok; Shelley Wright; Jessica Lu; Sean Terry; Peter Wizinowich; Benoît Neichel; Arseniy Kuznetsov

doi:10.1117/12.3020405

28 August 2024 On-axis point spread function reconstruction performance validation for Keck NIRC2

Sanchit Sabhlok, Shelley Wright, Jessica Lu, Sean Terry, Peter Wizinowich, Benoît Neichel, Arseniy Kuznetsov

Proceedings Volume 13097, Adaptive Optics Systems IX; 130977F (2024) https://doi.org/10.1117/12.3020405
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Conference Poster

Abstract

With Adaptive Optics (AO) now regularly deployed with natural or laser guide stars at 8 to 10m class telescopes around the world, understanding of the Point Spread Function (PSF) of a telescope limits our ability to resolve phenomena at high angular resolution. While traditionally, PSFs are extracted from a bright point source in a science image, ideally, one would like to reconstruct the PSF without using the science image by using analytic formulation of the PSF based on knowledge of the telescope, atmosphere and the AO system. In this work, we investigate a PSF reconstruction model using the python based code P3 using data from the NIRC2 instrument on the Keck Telescope. We use the P3 model to calculate the Strehl, Full Width at Half Maximum (FWHM) and Fraction of Variance Unexplained (FVU) for NIRC2 imaging data and compare the model calculations to independent estimates of the Strehl and FWHM.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sanchit Sabhlok, Shelley Wright, Jessica Lu, Sean Terry, Peter Wizinowich, Benoît Neichel, and Arseniy Kuznetsov "On-axis point spread function reconstruction performance validation for Keck NIRC2", Proc. SPIE 13097, Adaptive Optics Systems IX, 130977F (28 August 2024); https://doi.org/10.1117/12.3020405

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