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

M Pontinen; M. Granvik; A A Nucita; L. Conversi; B Altieri; N. Auricchio; C. Bodendorf; D. Bonino; M. Brescia; V. Capobianco; J. Carretero; B. Carry; M Castellano; R. Cledassou; G. Congedo; L. Corcione; M. Cropper; S. Dusini; M Frailis; E Franceschi; M Fumana; B Garilli; F. Grupp; F. Hormuth; H. Israel; K Jahnke; S. Kermiche; T. Kitching; R. Kohley; B. Kubik; M Kunz; R. Laureijs; P B Lilje; I Lloro; E. Maiorano; O. Marggraf; R. Massey; M. Meneghetti; G Meylan; L Moscardini; C  Padilla; S Paltani; F Pasian; S Pires; G Polenta; F Raison; M. Roncarelli; E. Rossetti; R Saglia; P. Schneider; A. Secroun; S. Serrano; G. Sirri; A. N. Taylor; I Tereno; R Toledo-Moreo; L Valenziano; Y Wang; M Wetzstein; J. Zoubian

doi:10.1051/0004-6361/202037765

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

M Pontinen, M. Granvik, A A Nucita, L. Conversi, B Altieri, N. Auricchio, C. Bodendorf, D. Bonino, M. Brescia, V. Capobianco, J. Carretero, B. Carry, M Castellano, R. Cledassou, G. Congedo, L. Corcione, M. Cropper, S. Dusini, M Frailis, E FranceschiM Fumana, B Garilli, F. Grupp, F. Hormuth, H. Israel, K Jahnke, S. Kermiche, T. Kitching, R. Kohley, B. Kubik, M Kunz, R. Laureijs, P B Lilje, I Lloro, E. Maiorano, O. Marggraf, R. Massey, M. Meneghetti, G Meylan, L Moscardini, C Padilla, S Paltani, F Pasian, S Pires, G Polenta, F Raison, M. Roncarelli, E. Rossetti, R Saglia, P. Schneider, A. Secroun, S. Serrano, G. Sirri, A. N. Taylor, I Tereno, R Toledo-Moreo, L Valenziano, Y Wang, M Wetzstein, J. Zoubian

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

Context. The ESA Euclid space telescope could observe up to 150 000 asteroids as a sideproduct of its primary cosmological mission. Asteroids appear as trailed sources, 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 for finding them. Euclid is equipped with a visible camera VIS and a near-infrared
camera NISP with three filters.
Aims. We aim at developing 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 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 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 apparent magnitude 23).

Original language	English
Article number	A35
Number of pages	12
Journal	Astronomy and Astrophysics
Volume	644
Early online date	25 Nov 2020
DOIs	https://doi.org/10.1051/0004-6361/202037765
Publication status	Published - 1 Dec 2020

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Pontinen2020Accepted author manuscript, 8.73 MB

Euclid UK Science Ground Segment Bridging Grant Phase 1
Taylor, A.
STFC
1/07/20 → 31/03/21
Project: Research

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Pontinen, M., Granvik, M., Nucita, A. A., Conversi, L., Altieri, B., Auricchio, N., Bodendorf, C., Bonino, D., Brescia, M., Capobianco, V., Carretero, J., Carry, B., Castellano, M., Cledassou, R., Congedo, G., Corcione, L., Cropper, M., Dusini, S., Frailis, M., ... Zoubian, J. (2020). Euclid: Identification of asteroid streaks in simulated images using StreakDet software. Astronomy and Astrophysics, 644, Article A35. https://doi.org/10.1051/0004-6361/202037765

@article{278295e3e0164ac2b552fdadeb6fb4af,

title = "Euclid: Identification of asteroid streaks in simulated images using StreakDet software",

abstract = "Context. The ESA Euclid space telescope could observe up to 150 000 asteroids as a sideproduct of its primary cosmological mission. Asteroids appear as trailed sources, 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 for finding them. Euclid is equipped with a visible camera VIS and a near-infraredcamera NISP with three filters.Aims. We aim at developing 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 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 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 apparent magnitude 23).",

author = "M Pontinen and M. Granvik and Nucita, {A A} and L. Conversi and B Altieri and N. Auricchio and C. Bodendorf and D. Bonino and M. Brescia and V. Capobianco and J. Carretero and B. Carry and M Castellano and R. Cledassou and G. Congedo and L. Corcione and M. Cropper and S. Dusini and M Frailis and E Franceschi and M Fumana and B Garilli and F. Grupp and F. Hormuth and H. Israel and K Jahnke and S. Kermiche and T. Kitching and R. Kohley and B. Kubik and M Kunz and R. Laureijs and Lilje, {P B} and I Lloro and E. Maiorano and O. Marggraf and R. Massey and M. Meneghetti and G Meylan and L Moscardini and C Padilla and S Paltani and F Pasian and S Pires and G Polenta and F Raison and M. Roncarelli and E. Rossetti and R Saglia and P. Schneider and A. Secroun and S. Serrano and G. Sirri and Taylor, {A. N.} and I Tereno and R Toledo-Moreo and L Valenziano and Y Wang and M Wetzstein and J. Zoubian",

year = "2020",

month = dec,

day = "1",

doi = "10.1051/0004-6361/202037765",

language = "English",

volume = "644",

journal = "Astronomy and Astrophysics",

issn = "0004-6361",

publisher = "EDP Sciences",

}

Pontinen, M, Granvik, M, Nucita, AA, Conversi, L, Altieri, B, Auricchio, N, Bodendorf, C, Bonino, D, Brescia, M, Capobianco, V, Carretero, J, Carry, B, Castellano, M, Cledassou, R, Congedo, G, Corcione, L, Cropper, M, Dusini, S, Frailis, M, Franceschi, E, Fumana, M, Garilli, B, Grupp, F, Hormuth, F, Israel, H, Jahnke, K, Kermiche, S, Kitching, T, Kohley, R, Kubik, B, Kunz, M, Laureijs, R, Lilje, PB, Lloro, I, Maiorano, E, Marggraf, O, Massey, R, Meneghetti, M, Meylan, G, Moscardini, L, Padilla, C, Paltani, S, Pasian, F, Pires, S, Polenta, G, Raison, F, Roncarelli, M, Rossetti, E, Saglia, R, Schneider, P, Secroun, A, Serrano, S, Sirri, G, Taylor, AN, Tereno, I, Toledo-Moreo, R, Valenziano, L, Wang, Y, Wetzstein, M & Zoubian, J 2020, 'Euclid: Identification of asteroid streaks in simulated images using StreakDet software', Astronomy and Astrophysics, vol. 644, A35. https://doi.org/10.1051/0004-6361/202037765

TY - JOUR

T1 - Euclid: Identification of asteroid streaks in simulated images using StreakDet software

AU - Pontinen, M

AU - Granvik, M.

AU - Nucita, A A

AU - Conversi, L.

AU - Altieri, B

AU - Auricchio, N.

AU - Bodendorf, C.

AU - Bonino, D.

AU - Brescia, M.

AU - Capobianco, V.

AU - Carretero, J.

AU - Carry, B.

AU - Castellano, M

AU - Cledassou, R.

AU - Congedo, G.

AU - Corcione, L.

AU - Cropper, M.

AU - Dusini, S.

AU - Frailis, M

AU - Franceschi, E

AU - Fumana, M

AU - Garilli, B

AU - Grupp, F.

AU - Hormuth, F.

AU - Israel, H.

AU - Jahnke, K

AU - Kermiche, S.

AU - Kitching, T.

AU - Kohley, R.

AU - Kubik, B.

AU - Kunz, M

AU - Laureijs, R.

AU - Lilje, P B

AU - Lloro, I

AU - Maiorano, E.

AU - Marggraf, O.

AU - Massey, R.

AU - Meneghetti, M.

AU - Meylan, G

AU - Moscardini, L

AU - Padilla, C

AU - Paltani, S

AU - Pasian, F

AU - Pires, S

AU - Polenta, G

AU - Raison, F

AU - Roncarelli, M.

AU - Rossetti, E.

AU - Saglia, R

AU - Schneider, P.

AU - Secroun, A.

AU - Serrano, S.

AU - Sirri, G.

AU - Taylor, A. N.

AU - Tereno, I

AU - Toledo-Moreo, R

AU - Valenziano, L

AU - Wang, Y

AU - Wetzstein, M

AU - Zoubian, J.

PY - 2020/12/1

Y1 - 2020/12/1

N2 - Context. The ESA Euclid space telescope could observe up to 150 000 asteroids as a sideproduct of its primary cosmological mission. Asteroids appear as trailed sources, 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 for finding them. Euclid is equipped with a visible camera VIS and a near-infraredcamera NISP with three filters.Aims. We aim at developing 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 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 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 apparent magnitude 23).

AB - Context. The ESA Euclid space telescope could observe up to 150 000 asteroids as a sideproduct of its primary cosmological mission. Asteroids appear as trailed sources, 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 for finding them. Euclid is equipped with a visible camera VIS and a near-infraredcamera NISP with three filters.Aims. We aim at developing 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 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 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 apparent magnitude 23).

U2 - 10.1051/0004-6361/202037765

DO - 10.1051/0004-6361/202037765

M3 - Article

SN - 0004-6361

VL - 644

JO - Astronomy and Astrophysics

JF - Astronomy and Astrophysics

M1 - A35

ER -

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

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Euclid UK Science Ground Segment Bridging Grant Phase 1

Cite this