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Pan-STARRS Pixel Analysis : Source Detection and Characterization

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arxiv 1612.05244 v3 pith:J23YCEP3 submitted 2016-12-15 astro-ph.IM

Pan-STARRS Pixel Analysis : Source Detection and Characterization

Eugene A. Magnier (1) , W. E. Sweeney (1) , K. C. Chambers (1) , H. A. Flewelling (1) , M. E. Huber (1) , P. A. Price (2) , C. Z. Waters (1) , L. Denneau (1)
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P. Draper (3) R. Jedicke (1) K. W. Hodapp (1) N. Kaiser (1) R.-P. Kudritzki (1) N. Metcalfe (3) C. W. Stubbs (4) R. J. Wainscoast (1) ((1) UH Institute for Astronomy (2) Department of Astrophysical Sciences Princeton University (3) Department of Physics Durham University (4) Harvard-Smithsonian Center for Astrophysics)
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keywords pan-starrsobjectsanalysisastronomicalbeenbilliondetectedimages
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Over 3 billion astronomical objects 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 objects 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 objects by psphot in general as well as for the specific case of the 3rd processing version used for the first two public releases of the Pan-STARRS $3\pi$ survey data, DR1 & DR2.

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Cited by 3 Pith papers

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  2. A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS

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  3. The Pan-STARRS1 Surveys

    astro-ph.IM 2016-12 unverdicted novelty 5.0

    Pith review generated a malformed one-line summary.