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), P. Draper (3), R. Jedicke (1), K. W. Hodapp (1), N. Kaiser (1),, R.-P. Kudritzki (1), N. Metcalfe (3), C. W. Stubbs (4)
TL;DR
This paper describes the development and application of the psphot software for automatic detection and characterization of over 85 billion astronomical objects in Pan-STARRS survey images, demonstrating its efficiency and adaptability.
Contribution
It introduces psphot, a fast, reliable, and adaptable software for source detection and characterization in large astronomical image datasets.
Findings
Detected over 3 billion objects in 22 million images.
Automatically characterized over 85 billion object instances.
Successfully applied to Pan-STARRS DR1 and DR2 data releases.
Abstract
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 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 survey data, DR1 & DR2.
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