SExtractor: Software for source extraction.

Astronomy and Astrophysics – Astrophysics

Scientific paper

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3741

Methods: Data Analysis, Techniques: Image Processing, Galaxies: Photometry

Scientific paper

We present the automated techniques we have developed for new software that optimally detects, de-blends, 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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