Exponential Gaussian approach for spectral modeling: the EGO algorithm, I. Band saturation

Loredana Pompilio , Giuseppe Pedrazz , Maria Sgavetti , Edward A. Cloutis , Michael A. Craig , Ted L. Roush

Curve fitting techniques are a widespread approach to spectral modeling in the VNIR range (Burns, 1970; Singer, 1981; Roush and Singer, 1986; Sunshine et al. 1990). They have been successfully used to model reflectance spectra of powdered minerals and mixtures, natural rock samples and meteorites, and unknown remote spectra of the Moon, Mars and asteroids. Here, we test a new decomposition algorithm to model VNIR reflectance spectra and call it Exponential Gaussian Optimization (EGO). The EGO algorithm is derived from and complementary to the MGM of Sunshine et al. (1990). The general EGO equation has been especially designed to account for absorption bands affected by saturation and asymmetry. Here we present a special case of EGO and address it to model saturated electronic transition bands.

Mots clés: Spectroscopy; Mineralogy

Loredana Pompilio, Giuseppe Pedrazz, Maria Sgavetti, Edward A. Cloutis, Michael A. Craig, et al.. Exponential Gaussian approach for spectral modeling: the EGO algorithm, I. Band saturation. Icarus, 2009, 201 (2), pp.781. ⟨10.1016/j.icarus.2009.01.022⟩. ⟨hal-00533503⟩