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Comparison of LSST and DECam wavefront recovery algorithms

Xin, Bo
Roodman, A.; Angeli, G.; Claver, C.; Thomas, S.
Bo Xin ; Aaron Roodman ; George Angeli ; Chuck Claver and Sandrine Thomas " Comparison of LSST and DECam wavefront recovery algorithms ", Proc. SPIE 9906, Ground-based and Airborne Telescopes VI, 99064J (July 27, 2016); doi:10.1117/12.2234456; http://dx.doi.org/10.1117/12.2234456
Publication Date: 
Wednesday, July 27, 2016
Type: 
Conference Papers
SPIE
Citable: 
no
SPIE Proceedings
Volume: 
9906
Abstract: 
We make a detailed quantitative comparison of the wavefront recovery algorithms between those developed for Dark Energy Camera (DECam) and the Large Synoptic Survey Telescope (LSST). Samples used in this study include images of out of focus stars collected by the DECam at the Blanco 4-meter telescope and artificial simulated donut images. The data from DECam include wavefront images collected by the wavefront sensors and out-of-focus images where the entire DECam sensor array is used. For simulated images, we have used both the forward Fraunhofer diffraction and a LSST-like ZEMAX optical model where the images are convolved with Kolmogorov atmosphere. All samples are analyzed with the forward wavefront retrieval algorithm developed for DECam and the transport of intensity algorithm for LSST. Good quantitative agreement between results by the two implemented algorithms is observed. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Publication-117
Reviewed Under: 
LSST Project Publication Policy
Bibtex reference: 
@proceeding{doi:10.1117/12.2234456, author = {Xin, Bo and Roodman, Aaron and Angeli, George and Claver, Chuck and Thomas, Sandrine}, title = { Comparison of LSST and DECam wavefront recovery algorithms }, journal = {Proc. SPIE}, volume = {9906}, number = {}, pages = {99064J-99064J-10}, abstract = { We make a detailed quantitative comparison of the wavefront recovery algorithms between those developed for Dark Energy Camera (DECam) and the Large Synoptic Survey Telescope (LSST). Samples used in this study include images of out of focus stars collected by the DECam at the Blanco 4-meter telescope and artificial simulated donut images. The data from DECam include wavefront images collected by the wavefront sensors and out-of-focus images where the entire DECam sensor array is used. For simulated images, we have used both the forward Fraunhofer diffraction and a LSST-like ZEMAX optical model where the images are convolved with Kolmogorov atmosphere. All samples are analyzed with the forward wavefront retrieval algorithm developed for DECam and the transport of intensity algorithm for LSST. Good quantitative agreement between results by the two implemented algorithms is observed. }, year = {2016}, doi = {10.1117/12.2234456}, URL = { http://dx.doi.org/10.1117/12.2234456}, eprint = {} }

Financial support for Rubin Observatory comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded Rubin Observatory Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA).  The DOE-funded effort to build the Rubin Observatory LSST Camera (LSSTCam) is managed by the SLAC National Accelerator Laboratory (SLAC).
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