Numerical modeling of motion of near-Earth objects in a parallel computing environment A. G. Aleksandrova, V. A. Avdyushev, N. A. Popandopulo, T. V. Bordovitsyna
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ArticleContent type: Текст Media type: электронный Subject(s): численное моделирование | орбитальная эволюция | параллельные вычисления | искусственные спутники ЗемлиGenre/Form: статьи в журналах Online resources: Click here to access online
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Russian physics journal Vol. 64, № 8. P. 1566-1575Abstract: A new version of the numerical model of artificial Earth satellites (AES) motion is presented, which consists of four program blocks intended for 1) predicting the AES motion, 2) studying the chaotic condition in motion of near-Earth space objects, 3) determining the AES motion parameters from the measurement data, and 4) studying the resonance dynamics of near-Earth objects. The main feature of the new version is the use of a new more efficient integrator, which is a further development of the well-known Everhart integrator. It is shown that with the same accuracy, the new integrator has much higher performance. The version intended for use in the parallel computing environment and called the "Numerical model of motion of AES systems" has undergone additional changes related to the optimization of the computation parallelization process. The estimates show that with the new method of parallelization, the integration accuracy is more stable and the integration speed increases several times
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A new version of the numerical model of artificial Earth satellites (AES) motion is presented, which consists of four program blocks intended for 1) predicting the AES motion, 2) studying the chaotic condition in motion of near-Earth space objects, 3) determining the AES motion parameters from the measurement data, and 4) studying the resonance dynamics of near-Earth objects. The main feature of the new version is the use of a new more efficient integrator, which is a further development of the well-known Everhart integrator. It is shown that with the same accuracy, the new integrator has much higher performance. The version intended for use in the parallel computing environment and called the "Numerical model of motion of AES systems" has undergone additional changes related to the optimization of the computation parallelization process. The estimates show that with the new method of parallelization, the integration accuracy is more stable and the integration speed increases several times
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