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Pan-STARRS Pixel Analysis: Source Detection and Characterization

delete2020-10-30
delete82
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OA
AI
E
E. A. Magnier *
W
William E. Sweeney
K
K. C. Chambers
H
H. Flewelling
M
M. E. Huber
P
P. A. Price
C
C. Waters
L
L. Denneau
P
P. W. Draper
D
Daniel J. Farrow
R
Robert Jedicke
K
K. W. Hodapp
N
N. Kaiser
N
N. Metcalfe
C
C. W. Stubbs
R
R. J. Wainscoat
DOI：10.3847/1538-4365/abb82cdelete
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Abstract

Abstract

En 中文
Over 3 billion astronomical sources have been detected in the more than 22 million orthogonal transfer CCD images obtained as part of the Pan-STARRS1 3 pi survey. Over 85 billion instances of those sources have been automatically detected and characterized by the Pan-STARRS Image Processing Pipeline photometry software, psphot. This fast, automatic, and reliable software was developed for the Pan-STARRS project but is easily adaptable to images from other telescopes. We describe the analysis of the astronomical sources by psphot in general as well as for the specific case of the third processing version used for the first two public releases of the Pan-STARRS 3 pi Survey data.
Keywords:
Astronomy data analysis
Astronomy data reduction
CCD photometry
Galaxy photometry
Astrometry
Astronomical techniques
Astronomical object identification

Journal

Astrophysical Journal Supplement Series cover
Astrophysical Journal Supplement Series
IF:
8.5
Papers:
5.7K
Citations:
4.2W

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H
Harvard University
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26.5W
Papers: 22.0W
Citations: 28.7W
P
Princeton University
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2.1W
Papers: 2.3W
Citations: 5.1W
University of Hawaii System cover
University of Hawaii System
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1.6W
Papers: 1.5W
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D
Durham University
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1.3W
Papers: 1.5W
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