A Prototype Automated Wavefront Sensing Pipeline for the LSST

Physics – Optics

Scientific paper

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Scientific paper

The Large Synoptic Survey Telescope (LSST) is a planned 8.4 meter fast, wide-field telescope. Its 10 square-degree field-of-view will allow the night sky to be entirely surveyed every four nights. The large structure of the telescope, combined with its fast operating scheme, will require an automated active optics system that can correct for optical distortions to produce sharp, optimal images. The active optics system (AOS) employs wavefront curvature sensing (WCS) located at the four corners of the inscribed square within the 3.5 degree field-of-view. The measured wavefront errors are used to determine the displacements and surface corrections in the AOS. To save operating time, we had to minimize human interaction in the WCS process by making the WCS software as automated as possible. We designed and coded this automated WCS software in a Matlab graphical user interface (GUI), which takes in input data (intra/extra-focal images), automatically cleans the data (bias-subtraction, trimming, removing bad columns), then automatically converts the image data into data that can be passed to the WCS code. The WCS code uses a Fourier-based algorithm to solve the intensity transport equation and estimate the system wavefront errors. These errors can then be corrected for by adjusting the physical components of the telescope's optical system.
Rodigas' research was supported by the NOAO/KPNO Research Experiences for Undergraduates (REU) Program which is funded by the National Science Foundation through Scientific Program Order No. 3 (AST-0243875) of the Cooperative Agreement No. AST-0132798 between the Association of Universities for Research in Astronomy (AURA) and the NSF.

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