摘要：Context.The ESAEuclidspace telescope could observe up to 150 000 asteroids as a side product of its primary cosmological mission. Asteroids appear as trailed sources, that is streaks, in the images. Owing to the survey area of 15 000 square degrees and the number of sources, automated methods have to be used to find them.Euclidis equipped with a visible camera, VIS (VISual imager), and a near-infrared camera, NISP (Near-Infrared Spectrometer and Photometer), with three filters.Aims.We aim to develop a pipeline to detect fast-moving objects inEuclidimages, with both high completeness and high purity.Methods.We tested theStreakDetsoftware to find asteroids from simulatedEuclidimages. We optimized the parameters ofStreakDetto maximize completeness, and developed a post-processing algorithm to improve the purity of the sample of detected sources by removing false-positive detections.Results.StreakDetfinds 96.9% of the synthetic asteroid streaks with apparent magnitudes brighter than 23rd magnitude and streak lengths longer than 15 pixels (10 arcsec h−1), but this comes at the cost of finding a high number of false positives. The number of false positives can be radically reduced with multi-streak analysis, which utilizes all four dithers obtained byEuclid.Conclusions.StreakDetis a good tool for identifying asteroids inEuclidimages, but there is still room for improvement, in particular, for finding short (less than 13 pixels, corresponding to 8 arcsec h−1) and/or faint streaks (fainter than the apparent magnitude of 23).
关键词：enmethods: data analysistechniques: image processingminor planetsasteroids: generalspace vehiclessurveysmethods: numerical
