SExtractor: Software for source extraction
Astronomy & Astrophysics Supplement Series · 1996 · 10,945 citationsOpen access
Abstract
We present the automated techniques we have developed for new software that optimally detects, deblends, measures and classifies sources from astronomical images: SExtractor (Source Extractor ). We show that a very reliable star/galaxy separation can be achieved on most images using a neural network trained with simulated images. Salient features of SExtractor include its ability to work on very large images, with minimal human intervention, and to deal with a wide variety of object shapes and magnitudes. It is therefore particularly suited to the analysis of large extragalactic surveys.
Cite this paper
Bertin, E., & Arnouts, S. (1996). SExtractor: Software for source extraction. Astronomy & Astrophysics Supplement Series, 117(2), 393–404. https://doi.org/10.1051/aas:1996164
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