2016
DOI: 10.1117/12.2231798
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LSST active optics system software architecture

Abstract: The Large Synoptic Survey Telescope (LSST) is an 8-meter class wide-field telescope now under construction on Cerro Pachón, near La Serena, Chile. This ground-based telescope is designed to conduct a decade-long time domain survey of the optical sky. In order to achieve the LSST scientific goals, the telescope requires delivering seeing limited image quality over the 3.5 degree field of view. Like many telescopes, LSST will use an Active Optics System (AOS) to correct in near real-time the system aberrations p… Show more

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Cited by 6 publications
(2 citation statements)
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“…Davies and Kasper (2012) have provided a detailed review of the AO systems for astronomy. The LSST that carries out weak-lensing studies contains an AO system (Angeli et al, 2014;Neill et al, 2014;Thomas et al, 2016). Exoplanet imaging studies have greatly benefited from AO systems and impose strict requirements for these systems.…”
Section: Adaptive Opticsmentioning
confidence: 99%
“…Davies and Kasper (2012) have provided a detailed review of the AO systems for astronomy. The LSST that carries out weak-lensing studies contains an AO system (Angeli et al, 2014;Neill et al, 2014;Thomas et al, 2016). Exoplanet imaging studies have greatly benefited from AO systems and impose strict requirements for these systems.…”
Section: Adaptive Opticsmentioning
confidence: 99%
“…A number of publications have demonstrated a diverse set of applications for an ab initio simulator in astronomy using PhoSim 1 . PhoSim has been used to (1) to test the design of Rubin/LSST (Xin et al 2015;Angeli et al 2016;Thomas et al 2016) and JWST , (2) to plan for future observations (e.g., Chang et al 2012Chang et al , 2013aChang et al , 2013bBard et al 2013Bard et al , 2016Mandelbaum et al 2014;Thomas & Kahn 2018;Sanchez et al 2020;Bretonniere et al 2023;Merlin et al 2023), (3) for advanced image processing algorithm development (e.g., Meyers & Burchat 2015;Li et al 2016;Carlsten et al 2018;Nie et al 2021aNie et al , 2021b, (4) to understand physical effects (Beamer et al 2015;Xin et al 2018;Walter 2015), and (5) for advanced AI/machine learning development by simulating training sets ). In addition to published studies, hundreds of users have used PhoSim for informal studies.…”
Section: Introductionmentioning
confidence: 99%