PSF reconstruction for integral field spectrographs

Anna Ciurlo; Tuan Do; Gunther Witzel; Jessica Lu; Paolo Turri; Michael Fitzgerald; Jim Lyke; Carlos Correia; Juan Carlos Guerra

doi:10.1117/12.2563124

13 December 2020 PSF reconstruction for integral field spectrographs

Anna Ciurlo, Tuan Do, Gunther Witzel, Jessica Lu, Paolo Turri, Michael Fitzgerald, Jim Lyke, Carlos Correia, Juan Carlos Guerra

Author Affiliations +

Proceedings Volume 11448, Adaptive Optics Systems VII; 114480C (2020) https://doi.org/10.1117/12.2563124
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Abstract

PSF knowledge is central to extract science from observations with adaptive optics. However, it is often challenging to have a good PSF estimate. For instance, this is a problem for the integral field unit (IFU) OSIRIS at Keck Observatory. OSIRIS has a field of only few arcseconds, and it is often impossible to obtain a good empirical PSF. OSIRIS is equipped with an imager designed to track changes in the PSF on a reference star. However, the imager is 20 arcseconds away, which prevents to apply the observed PSF directly to spectroscopic data. We developed a new software package to predict PSF variability for Keck AO images (AIROPA, see Paolo Turri’s contribution, this conference). To properly use the parallel imager to predict a PSF on the IFU, we adapted the code to the OSIRIS case (AIROPA-IFU). Here, we present results of the application of this post-processing tools to Galactic Center observation. We also discuss the challenges encountered and the lessons learned when doing PSF

Conference Presentation

Citation Download Citation

Anna Ciurlo, Tuan Do, Gunther Witzel, Jessica Lu, Paolo Turri, Michael Fitzgerald, Jim Lyke, Carlos Correia, and Juan Carlos Guerra "PSF reconstruction for integral field spectrographs", Proc. SPIE 11448, Adaptive Optics Systems VII, 114480C (13 December 2020); https://doi.org/10.1117/12.2563124

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