Astrophysics & Aerospace Technology

ISSN: 2329-6542

Open Access

Mustapha Faqir

Department of Communication and Navigation, International University of Rabat, Rabat, Morocco

  • Mini Review   
    Using INTEGRAL in Changing Radiation Settings Using Machine Learning for Efficient Spacecraft Operation
    Author(s): Mustapha Faqir*

    The European Space Agency's astronomical observatory known as INTEGRAL (INTErnational Gamma-Ray Astrophysics Laboratory) has been responsible for numerous significant scientific discoveries over the past few decades. Since 2002, it has been in an extremely elliptical orbit around Earth, passing through the Van Allen belts, which contain high-energy ionized particles that have the potential to harm the spacecraft's onboard equipment. Thus, predicting the entry and exit times of its radiation belts is an essential component of INTEGRAL's mission planning and operation. Using a variety of machine learning techniques, we evaluate the potential of a novel, compact data representation. Gradient-boosted trees with quantile loss are found to be the most effective approach in the experimental validation. With uncertainty adjusted to the 95th percentile, our method allow.. Read More»
    DOI: 10.37421/2329-6542.2023.11.250

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