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Título: | Testing a fast dynamical indicator: The MEGNO |
Autor(es): | Maffione, Nicolás Pablo Giordano, Claudia M. Cincotta, Pablo M. |
Fecha de publicación: | ene-2011 |
Editorial: | Elsevier |
Citación: | Maffione, Nicolás P., Giordano, Claudia M. y Cincotta, Pablo M. (2011). Testing a fast dynamical indicator: The MEGNO. Elsevier; International Journal of Non-Linear Mechanics; 46 (1); 23-34 |
Revista: | International Journal of Non-Linear Mechanics |
Abstract: | To investigate non-linear dynamical systems, like for instance artificial satellites, Solar System, exoplanets or galactic models, it is necessary to have at hand several tools, such as a reliable dynamical indicator. The aim of the present work is to test a relatively new fast indicator, the Mean Exponential Growth factor of Nearby Orbits (MEGNO), since it is becoming a widespread technique for the study of Hamiltonian systems, particularly in the field of dynamical astronomy and astrodynamics, as well as molecular dynamics. In order to perform this test we make a detailed numerical and statistical study of a sample of orbits in a triaxial galactic system, whose dynamics was investigated by means of the computation of the Finite Time Lyapunov Characteristic Numbers (FT-LCNs) by other authors. |
Resumen: | To investigate non-linear dynamical systems, like for instance artificial satellites, Solar System, exoplanets or galactic models, it is necessary to have at hand several tools, such as a reliable dynamical indicator. The aim of the present work is to test a relatively new fast indicator, the Mean Exponential Growth factor of Nearby Orbits (MEGNO), since it is becoming a widespread technique for the study of Hamiltonian systems, particularly in the field of dynamical astronomy and astrodynamics, as well as molecular dynamics. In order to perform this test we make a detailed numerical and statistical study of a sample of orbits in a triaxial galactic system, whose dynamics was investigated by means of the computation of the Finite Time Lyapunov Characteristic Numbers (FT-LCNs) by other authors. |
URI: | https://rid.unrn.edu.ar/jspui/handle/20.500.12049/3763 |
Identificador DOI: | https://doi.org/10.1016/j.ijnonlinmec.2010.06.008 |
ISSN: | 0020-7462 |
Aparece en las colecciones: | Artículos |
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1108.5481.pdf | 1,6 MB | Adobe PDF | Visualizar/Abrir |
Este documento es resultado del financiamiento otorgado por el Estado Nacional, por lo tanto queda sujeto al cumplimiento de la Ley N° 26.899
Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.