Abstract: This new software optimally detects, de-blends, measures and classifies sources from astronomical images: SExtractor (Source Extractor). 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.
Credit: Bertin, E.; Arnouts, S.
Preferred citation method: https://ui.adsabs.harvard.edu/#abs/1996A&AS..117..393B/