Other
Scientific paper
Apr 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003eaeja.....5050e&link_type=abstract
EGS - AGU - EUG Joint Assembly, Abstracts from the meeting held in Nice, France, 6 - 11 April 2003, abstract #5050
Other
Scientific paper
Induced and remanent (de)magnetization curves can be fitted using model functions, which are generally derived from logarithmic Gaussian distributions (LG). Each model function is interpreted as a magnetic component, and the procedure is called component analysis (Robertson and France, 1994). The success of component analysis is limited by two main factors: the ability of the model function to reproduce appropriately the magnetic properties of an individual component, and its extreme sensitivity to measurement errors. Both factors influence the number of components which are needed to fit a magnetization curve within the measurement error. The effect of measurement errors on the significance of a component analysis can be tested statistically (e.g. Kruiver et al., 2002). On the other hand, theoretical and experimental magnetization curves of single domain and multidomain particles cannot be modelled using a single LG function (Egli, 2003). Therefore, more general functions, called skewed generalized Gaussian functions (SGG), were introduced in order to model appropriately the four main parameters of a (de)magnetization curve: median acquisition/destructive field, dispersion parameter, skewness and kurtosis. Two computer programs were developed to analyze a (de)magnetization curve. The first calculates a coercivity distribution as the first derivative of the magnetization curve and removes the measurement errors. It also performs an error estimation and gives confidence limits for the resulting coercivity distribution. The second program performs a component analysis with SGG functions. Advantages and limitations of this new method are discussed using some examples of component analysis performed on a variety of sediment samples. Egli, R., Analysis of the field dependence of remanent magnetization curves, Journal of Geophysical Research, in press. Kruiver, P. P., M. J. Dekkers and D. Heslop, Quantification of magnetic coercivity components by the analysis of acquisition curves of isothermal remanent magnetization, Earth Planet. Sci. Lett., 189, 269-276, 2001. Robertson, D. J. and D. E. France, Discrimination of remanence-carrying minerals in mixtures, using isothermal remanent magnetisation acquisition curves, Phys. Earth Planet. Inter., 82, 223-234, 1994.
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