1981
DOI: 10.1029/ja086ia09p07679
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The magnetic field of Jupiter: A generalized inverse approach

Abstract: The estimation of planetary magnetic fields from observations of the magnetic field gathered along a spacecraft flyby trajectory is examined with the aid of generalized inverse techniques, with application to the internal magnetic field of Jupiter. Model non-uniqueness resulting from the limited spatial extent of the observations and noise on the data is explored and quantitative estimates of the model parameter resolution are found. The presence of a substantial magnetic field of external origin due to the cu… Show more

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Cited by 110 publications
(138 citation statements)
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“…In the linearized system, y is a column vector of the model residuals (observed minus modeled field or equatorial crossing distance), x is a column vector of parameter corrections required to bring the model into closer agreement with the data, and the matrix A is a matrix of partial derivatives relating the observations to the model parameters. The solution is obtained iteratively using a generalized inverse method [Connerney, 1981] that allows the construction of partial solutions to underdetermined inverse problems. This method simultaneously minimizes the residual (difference between observed and modeled quantity) as well as the magnitude of the parameter vector needed to minimize the residual.…”
Section: Observationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the linearized system, y is a column vector of the model residuals (observed minus modeled field or equatorial crossing distance), x is a column vector of parameter corrections required to bring the model into closer agreement with the data, and the matrix A is a matrix of partial derivatives relating the observations to the model parameters. The solution is obtained iteratively using a generalized inverse method [Connerney, 1981] that allows the construction of partial solutions to underdetermined inverse problems. This method simultaneously minimizes the residual (difference between observed and modeled quantity) as well as the magnitude of the parameter vector needed to minimize the residual.…”
Section: Observationsmentioning
confidence: 99%
“…While the distribution of these emissions in the polar regions could be mapped with relative ease, however, the limited accuracy of magnetic field models prevented one from associating these emissions with a particular source region in the Jovian magnetosphere [Connerney, 1992]. Connerney et al, 1981], it also provides a one-to-one mapping between the ionosphere and the magnetosphere.…”
Section: Introductionmentioning
confidence: 99%
“…[38] Since in some ranges of source directions the system of equations (10) may be ill-posed, the singular-value decomposition (SVD) technique [see Connerney, 1981;Ladreiter et al, 1995, and references therein] was applied to examine and evaluate the uniqueness of the solution:…”
Section: Application Of Singular-value Decompositionmentioning
confidence: 99%
“…We used the Jovian magnetic field model ISaAC (In-Situ and Auroral Constrains) , an updated version of the VIPAL model of further constrained by the locus of the UV auroral footprints of Europa and Ganymede. We added the contribution from the simple current sheet model of Connerney et al [1981]. The magnetospheric plasma density is the sum of two contributions, from the planetary ionospheric [Hinson et al, 1998] and the Io plasma torus [Bagenal et al, 1994].…”
Section: Principle Of Expresmentioning
confidence: 99%