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  Euclid: Identification of asteroid streaks in simulated images using StreakDet software

Pöntinen, M., Granvik, M., Nucita, A. A., Conversi, L., Altieri, B., Auricchio, N., et al. (2020). Euclid: Identification of asteroid streaks in simulated images using StreakDet software. Astronomy and Astrophysics, 644: A35. doi:10.1051/0004-6361/202037765.

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Pöntinen, M., Author
Granvik, M., Author
Nucita, A. A., Author
Conversi, L., Author
Altieri, B., Author
Auricchio, N., Author
Bodendorf, C.1, Author              
Bonino, D., Author
Brescia, M., Author
Capobianco, V., Author
Carretero, J., Author
Carry, B., Author
Castellano, M., Author
Cledassou, R., Author
Congedo, G., Author
Corcione, L., Author
Cropper, M., Author
Dusini, S., Author
Frailis, M., Author
Franceschi, E., Author
Fumana, M., AuthorGarilli, B., AuthorGrupp, F.1, Author              Hormuth, F., AuthorIsrael, H., AuthorJahnke, K., AuthorKermiche, S., AuthorKitching, T., AuthorKohley, R., AuthorKubik, B., AuthorKunz, M., AuthorLaureijs, R., AuthorLilje, P. B., AuthorLloro, I., AuthorMaiorano, E., AuthorMarggraf, O., AuthorMassey, R., AuthorMeneghetti, M., AuthorMeylan, G., AuthorMoscardini, L., AuthorPadilla, C., AuthorPaltani, S., AuthorPasian, F., AuthorPires, S., AuthorPolenta, G., AuthorRaison, F.1, Author              Roncarelli, M., AuthorRossetti, E., AuthorSaglia, R.1, Author              Schneider, P., AuthorSecroun, A., AuthorSerrano, S., AuthorSirri, G., AuthorTaylor, A. N., AuthorTereno, I., AuthorToledo-Moreo, R., AuthorValenziano, L., AuthorWang, Y., AuthorWetzstein, M.2, Author              Zoubian, J., Author more..
Affiliations:
1Optical and Interpretative Astronomy, MPI for Extraterrestrial Physics, Max Planck Society, ou_159895              
2Infrared and Submillimeter Astronomy, MPI for Extraterrestrial Physics, Max Planck Society, ou_159889              

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 Abstract: Context. The ESA Euclid space 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. Euclid is 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 in Euclid images, with both high completeness and high purity. Methods. We tested the StreakDet software to find asteroids from simulated Euclid images. We optimized the parameters of StreakDet to maximize completeness, and developed a post-processing algorithm to improve the purity of the sample of detected sources by removing false-positive detections. Results. StreakDet finds 96.9% of the synthetic asteroid streaks with apparent magnitudes brighter than 23rd magnitude and streak lengths longer than 15 pixels (10 arcsec h0−1), 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 by Euclid. Conclusions. StreakDet is a good tool for identifying asteroids in Euclid images, 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).

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Language(s): eng - English
 Dates: 2020-11-25
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1051/0004-6361/202037765
Other: LOCALID: 3286389
 Degree: -

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Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
Source Genre: Journal
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Publ. Info: France : EDP Sciences S A
Pages: - Volume / Issue: 644 Sequence Number: A35 Start / End Page: - Identifier: ISSN: 1432-0746
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1