Akademska digitalna zbirka SLovenije - logo
E-viri
Recenzirano Odprti dostop
  • Trapped Proton Fluxes Estim...
    Martucci, Matteo; Sparvoli, Roberta; Bartocci, Simona; Battiston, Roberto; Burger, William Jerome; Campana, Donatella; Carfora, Luca; Castellini, Guido; Conti, Livio; Contin, Andrea; De Donato, Cinzia; De Santis, Cristian; Follega, Francesco Maria; Iuppa, Roberto; Lazzizzera, Ignazio; Marcelli, Nadir; Masciantonio, Giuseppe; Mergé, Matteo; Oliva, Alberto; Osteria, Giuseppe; Palma, Francesco; Palmonari, Federico; Panico, Beatrice; Parmentier, Alexandra; Perfetto, Francesco; Picozza, Piergiorgio; Piersanti, Mirko; Pozzato, Michele; Ricci, Ester; Ricci, Marco; Ricciarini, Sergio Bruno; Sahnoun, Zouleikha; Scotti, Valentina; Sotgiu, Alessandro; Vitale, Vincenzo; Zoffoli, Simona; Zuccon, Paolo

    Applied sciences, 04/2021, Letnik: 11, Številka: 8
    Journal Article

    The radiation belts in the Earth’s magnetosphere pose a hazard to satellite systems and spacecraft missions (both manned and unmanned), heavily affecting payload design and resources, thus resulting in an impact on the overall mission performance and final costs. The NASA AE9/AP9/SPM radiation models for energetic electrons, protons, and plasma provide useful information on the near-Earth environment, but they are still incomplete as to some features and, for some energy ranges, their predictions are not based on a statistically sufficient sample of direct measurements. Therefore, it is of the upmost importance to provide new data and direct measurements to improve their output. In this work, the AP9 model is applied to the China Seismo-Electromagnetic Satellite (CSES-01) orbit to estimate the flux of energetic protons over the South Atlantic Anomaly during a short testing period of one day, 1 January 2021. Moreover, a preliminary comparison with proton data obtained from the High-Energy Particle Detector (HEPD) on board CSES-01 is carried out. This estimation will serve as the starting ground for a forthcoming complete data analysis, enabling extensive testing and validation of current theoretical and empirical models.