publication . Other literature type . Article . 1996

SExtractor: Software for source extraction

E. Bertin; S. Arnouts;
Open Access
  • Published: 15 Jun 1996
  • Publisher: EDP Sciences
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.
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Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Wide Field Camera 3, Subaru Telescope, Artificial neural network, Limiting magnitude, BOOTES, Software, business.industry, business, Photometric redshift, Astronomy, Physics, Field galaxy
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