The Pan-STARRS Data-processing System

被引：86
|
作者：
Magnier, Eugene A. [1 ]
Chambers, K. C. [1 ]
Flewelling, H. A. [1 ]
Hoblitt, J. C. [2 ]
Huber, M. E. [1 ]
Price, P. A. [3 ]
Sweeney, W. E. [1 ]
Waters, C. Z. [1 ]
Denneau, L. [1 ]
Draper, P. W. [4 ]
Hodapp, K. W. [1 ]
Jedicke, R. [1 ]
Kaiser, N. [1 ]
Kudritzki, R-P [1 ]
Metcalfe, N. [4 ]
Stubbs, C. W. [5 ]
Wainscoat, R. J. [1 ]
机构：
[1] Univ Hawaii, Inst Astron, 2680 Woodlawn Dr, Honolulu, HI 96822 USA
[2] LSST Project Management Off, Tucson, AZ USA
[3] Princeton Univ, Dept Astrophys Sci, Princeton, NJ 08544 USA
[4] Univ Durham, Dept Phys, South Rd, Durham DH1 3LE, England
[5] Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA
来源：
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES | 2020年 / 251卷 / 01期
基金：
美国国家科学基金会; 美国国家航空航天局;
关键词：
Sky surveys; Astronomy data analysis; Astronomy databases; Astronomy data reduction; Photometry; Astronomical techniques; Astrometry; CALIBRATION; CATALOG;
D O I：
10.3847/1538-4365/abb829
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
The Pan-STARRS data-processing system is responsible for the steps needed to downloaded, archive, and process all images obtained by the Pan-STARRS telescopes, including real-time detection of transient sources such as supernovae and moving objects including potentially hazardous asteroids. With a nightly data volume of up to 4 TB and an archive of over 4 PB of raw imagery, Pan-STARRS is solidly in the realm of Big Data astronomy. The full data-processing system consists of several subsystems covering the wide range of necessary capabilities. This article describes the Image Processing Pipeline and its connections to both the summit data systems and the outward-facing systems downstream. The latter include the Moving Object Processing System (MOPS) and the public database: the Published Science Products Subsystem.
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页数：23
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