Paper
10 July 2018 Monitoring LSST system performance during construction
Bo Xin, Chuck F. Claver, Željko Ivezić, Lynne Jones, John Peterson, Brian Selvy, Scott Daniel, Peter Yoachim
Author Affiliations +
Abstract
The Large Synoptic Survey Telescope (LSST) is under construction in Chile. To make the delivered system meet the science goals, the project defines a set of performance metrics, and constantly monitors the system performance by evaluating the metrics against their requirements. In this paper, we describe the latest updates to the comprehensive tool set we have developed for evaluating the LSST system performance, which we collectively refer to as the LSST integrated model, and recent work on utilizing these tools for system verification. We also broaden our set of performance metrics and introduce an integrated-étendue-based metrics framework, which is useful for not just system verification, but also mitigation and optimization. Most of the major metrics currently being monitored fit under this framework, including image quality, system throughput, the single-visit point source 5σdetection limit, etc. We also mointor the Point Spread Function (PSF) ellipticity, which isn't part of this metrics framework, but is an output of the integrated model.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Xin, Chuck F. Claver, Željko Ivezić, Lynne Jones, John Peterson, Brian Selvy, Scott Daniel, and Peter Yoachim "Monitoring LSST system performance during construction", Proc. SPIE 10705, Modeling, Systems Engineering, and Project Management for Astronomy VIII, 107050P (10 July 2018); https://doi.org/10.1117/12.2313880
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Large Synoptic Survey Telescope

Integrated modeling

Cameras

Systems modeling

Image quality

Point spread functions

Adaptive optics

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