Tracking Comets and Asteroids Using Machine Learning and Deep Learning: A Review

  • Authors

    • M. Khalil Faculty of Engineering, MSA university, Giza, Egypt
    • M. Said Faculty of Engineering, MSA university, Giza, Egypt
    • A. Ibrahim Faculty of Engineering, MSA university, Giza, Egypt
    • M. Gamal Faculty of Engineering, MSA university, Giza, Egypt
    • M. A. Mobarak
    2021-03-28
    https://doi.org/10.14419/ijaa.v9i1.31466
  • Machine Learning, Deep Learning, Tracking of Comets and Asteroids, Long Period Comets.

  • Abstract

    Comets and asteroids are considered as very dangerous objects to Earth. Machine Learning and Deep Learning tools can be used to identify and track such hazardous objects early enough prior to impact. Preparation strategies require several years, so the early detection of such hazardous objects is very crucial aspect. In this paper, the importance of using Machine Learning and Deep Learning to identify and detect asteroids and comets is discussed briefly.

     

     

     

  • References

    1. [1] Khalil, M., Said, M., Osman, H., Ahmed, B., Ahmed, D., Younis, N., Maher, B., Osama, M. and Ashmawy, M., Big data in astronomy: from evolution to revolution, International Journal of Advanced Astronomy, 7 (1) (2019) 11-14. https://doi.org/10.14419/ijaa.v7i1.18029.

      [2] Khalil, M., Said, M., Osman, H., Younis, N., Khaled N., Amr, Y., Mohamed, N.A., Ibrahim, A., 2020. Dark comets: the cosmic catastrophic threat to earth, 8 (1) (2020) 27-28. https://doi.org/10.14419/ijaa.v8i1.30740.

      [3] Khalil, M., Said, M., Osman, H., Younis, N., Khaled N., Amr, Y., Mohamed, N.A., Ibrahim, A., 2020. The Dazzling Comet C/2020 F3 (NEOWISE): The Comet of The Century, 8 (2) (2020) 35-36. https://doi.org/10.14419/ijaa.v8i2.31149.

      [4] Khalil, M., Said, M., Osman, H., Younis, N., Khaled N., Amr, Y., Mohamed, N.A., Ibrahim, A., 2021, 'Oumuamua: A Mysterious Visitor from Deep Space, 9(1) 24-25.

      [5] Milani, A., Chesley, S.R., Chodas, P.W. and Valsecchi, G.B., 2002. Asteroid close approaches: analysis and potential impact detection. Asteroids III, 1, pp.89-101.

      [6] Schweickart, R.L., Lu, E.T., Hut, P. and Chapman, C.R., 2003. The asteroid tugboat. Scientific American, 289(5), pp.54-61. https://doi.org/10.1038/scientificamerican1103-54.

      [7] Zoghbi, S., Cicco, M., Stapper, A.P., Ordonez, A.J., Collison, J., Gural, P.S., Ganju, S., Galache, J.L. and Jenniskens, P., 2017. Searching for long-period comets with deep learning tools. In Deep Learning for Physical Science Workshop, NeurIPS.

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  • How to Cite

    Khalil, M., Said, M., Ibrahim, A., Gamal, M., & A. Mobarak, M. (2021). Tracking Comets and Asteroids Using Machine Learning and Deep Learning: A Review. International Journal of Advanced Astronomy, 9(1), 26-27. https://doi.org/10.14419/ijaa.v9i1.31466

    Received date: 2021-02-25

    Accepted date: 2021-03-19

    Published date: 2021-03-28