SExtractor: Software for source extraction
Institut d'Astrophysique de Paris, 98bis Boulevard Arago, 75014 Paris, France
2 European Southern Observatory, Casilla 19001, Santiago 19, Chile
Corresponding author: Send offprint request to: e-mail: firstname.lastname@example.org
Accepted: 17 August 1995
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.
Key words: methods: data analysis / techniques: image processing / galaxies: photometry
© European Southern Observatory (ESO), 1996