Pan-STARRS Pixel Analysis: Source Detection and Characterization

doi:10.3847/1538-4365/abb82c

2020-10-30

DOI：10.3847/1538-4365/abb82c

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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.

Keyword:

Astronomy data analysis

Astronomy data reduction

CCD photometry

Galaxy photometry

Astrometry

Astronomical techniques

Astronomical object identification

期刊

Astrophysical Journal Supplement Series

IF:

8.5

论文数:

5.7K

被引数:

4.2W

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Harvard University

学者数:

26.5W

论文数: 22.0W

被引数: 28.7W

Princeton University

学者数:

2.1W

论文数: 2.3W

被引数: 5.1W

Durham University

学者数:

1.3W

论文数: 1.5W

被引数: 2.1W

University of Hawaii System

学者数:

1.6W

论文数: 1.5W

被引数: 1.2W

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