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Astronomy in the Cloud: Using MapReduce for Image Coaddition

PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, no. 901 (2011): 366-380

Cited by: 71|Views43
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Abstract

In the coming decade, astronomical surveys of the sky will generate tens of terabytes of images and detect hundreds of millions of sources every night. The study of these sources will involve computation challenges such as anomaly detection and classification and moving-object tracking. Since such studies benefit from the highest-quality ...More

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