Pan-STARRS Pixel Analysis: source detection and characterization

Magnier, Eugene A.; Sweeney, W. E.; Chambers, K. C.; Flewelling, H. A.; Huber, M. E.; Price, P. A.; Waters, C. Z.; Denneau, L.; Draper, P. W.; Farrow, D.; Jedicke, R.; Hodapp, K. W.; Kaiser, N.; Kudritzki, R.-P.; Metcalfe, N.; Stubbs, C. W.; Wainscoat, R. J.

doi:10.3847/1538-4365/abb82c

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Pan-STARRS Pixel Analysis: source detection and characterization

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Farrow, D.
Optical and Interpretative Astronomy, MPI for Extraterrestrial Physics, Max Planck Society;

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Magnier, E. A., Sweeney, W. E., Chambers, K. C., Flewelling, H. A., Huber, M. E., Price, P. A., et al. (2020). Pan-STARRS Pixel Analysis: source detection and characterization. Astrophysical Journal Supplement Series, 251(1): 5. doi:10.3847/1538-4365/abb82c.

Cite as: https://hdl.handle.net/21.11116/0000-0007-EBA4-7

Abstract

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 3π 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 3π Survey data.