Robust Filtering of Artifacts in Difference Imaging for Rapid Transients Detection

• Autorzy: Klencki J. , Wyrzykowski Ł. , Kostrzewa-Rutkowska Z. , Udalski A.
• Języki publikacji: EN

Abstrakty

EN

Real-time analysis and classification of observational data collected within synoptic sky surveys is a huge challenge due to constant growth of data volumes. Machine learning techniques are often applied in order to perform this task automatically. The current bottleneck of transients detection in most surveys is the process of filtering numerous artifacts from candidate detection. We present a new method for automated artifact filtering based on hierarchical unsupervised classifier employing Self-Organizing Maps (SOMs). The system accepts 97% of real transients and removes 97.5% of artifacts when tested on the OGLE-IV Transient Detection System. The improvement of the artifacts filtering allows for single-frame-based detection of transients within OGLE-IV, which now alerts on transient discoveries in less than 15 minutes from the image acquisition.

Słowa kluczowe

EN

methods: data analysis; methods: statistical; surveys

• Wydawca: Copernicus Foundation for Polish Astronomy
• Czasopismo: Acta Astronomica
• Rocznik: 2016
• Tom: Vol. 66, No. 1
• Strony: 15--29
• Opis fizyczny: Bibliogr. 41 poz., rys., wykr., zdj.

Twórcy

autor

Klencki J.

• Warsaw University Observatory, Al. Ujazdowskie 4, 00-478 Warsaw, Poland

autor

Wyrzykowski Ł.

• Warsaw University Observatory, Al. Ujazdowskie 4, 00-478 Warsaw, Poland

autor

Kostrzewa-Rutkowska Z.

• Warsaw University Observatory, Al. Ujazdowskie 4, 00-478 Warsaw, Poland

autor

Udalski A.

• Warsaw University Observatory, Al. Ujazdowskie 4, 00-478 Warsaw, Poland

Bibliografia

• Alard, C., and Lupton, R.H. 1998, ApJ, 503, 325.
• Assef, R.J., et al. 2010, ApJ, 713, 970.
• Beaulieu, J.-P., et al. 2006, Nature, 439, 437.
• Blagorodnova, N., Koposov, S.E., Wyrzykowski, Ł., Irwin, M., and Walton, N.A. 2014, MNRAS, 442, 327.
• Bloom, J., Richards, J. W. 2011, arXiv:1104.3142.
• Bloom, J., et al. 2012, PASP, 124, 1175.
• Campbell, H., et al. 2013, ApJ, 763, 88.
• Childress, M. et al. 2013a, ApJ, 770, 107.
• Childress, M. et al. 2013b, ApJ, 770, 108.
• Drake, A.J., et al. 2009, ApJ, 696, 870.
• Dubath, P., et al. 2011, MNRAS, 414, 2602.
• Eyer, L., and Blake, C. 2005, MNRAS, 358, 30.
• Gal-Yam, A., et al. 2014, Nature, 509, 471.
• Galbany, L., et al. 2014, A&A, 572, A38.
• Goldstein, D.A., et al. 2015, AJ, 150, 82.
• Inserra, C., et al. 2015, ApJ, 799, L2.
• Ivezić, Z., et al. 2008, arXiv:0805.2366.
• Kaiser, N., et al. 2010, SPIE Conference Series, 7733.
• Kohonen, T. 1982, Biological Cybernetics, 43, 59.
• Kozłowski, S., et al. 2013, Acta Astron., 63, 1.
• Law, N.M., et al. 2009, PASP, 121, 139.
• Mahabal, A.A., et al. 2012, IAU Symposium, 285, 355.
• Nicholl, M., et al. 2015a, ApJ, 807, L18.
• Nicholl, M., et al. 2015b, MNRAS, 452, 3869.
• Pastorello, A., et al. 2015, MNRAS, 449, 1941.
• Phillips, M.M. 1993, ApJ, 413, L105.
• Poznanski, D., Kostrzewa-Rutkowska, Z., Wyrzykowski, Ł., and Blagorodnova, N. 2015, MNRAS, 449, 1753.
• Quimby, R.M., et al. 2011, Nature, 474, 487.
• Sánchez Almeida, J., Aguerri, J.A.L., Muñoz-Tuñón, C., and de Vicente, A. 2010, ApJ, 714, 487.
• Shappee, B., et al. 2014, ApJ, 788, 48.
• Smartt, S.J., et al. 2015, A&A, 579, A40.
• Skowron, J., et al. 2015, ApJ, 804, 33.
• Sullivan, H., et al. 2011, ApJ, 737, 102.
• Udalski, A. 2003, Acta Astron., 53, 291.
• Udalski, A., et al. 2005, ApJ, 628, L109.
• Udalski, A., Szymański, M.K., and Szymańnski, G. 2015, Acta Astron., 65, 1.
• Woźniak, P.R. 2000, Acta Astron., 50, 421.
• Wright, D.E., et al. 2015, MNRAS, 449, 451.
• Wyrzykowski, L., and Belokurov, V. 2008, American Institute of Physics Conference Series, 1082, 201.
• Wyrzykowski, L., et al. 2014a, Acta Astron., 64, 197.
• Wyrzykowski, L., Hodgkin, S., Blagorodnova, N., and Belokurov, V. 2014b, IAU Symposium, 298, 446.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).