Journal of Geology & Geophysics
Open Access
ISSN: 2381-8719
+44 1478 350008
ISSN: 2381-8719
+44 1478 350008
Peng K Hong
Others, The University Museum,
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033
Japan
Research Article
An Automatic Deconvolution Method for Modified Gaussian Model using the Exchange Monte Carlo Method: Application to Reflectance Spectra of Synthetic Clinopyroxene
Author(s): Peng K Hong*, Hideaki Miyamoto, Takafumi Niihara, Seiji Sugita, Kenji Nagata, James M Dohm and Masato OkadaPeng K Hong*, Hideaki Miyamoto, Takafumi Niihara, Seiji Sugita, Kenji Nagata, James M Dohm and Masato Okada
Deconvolution analysis of reflectance spectra has been a useful method to infer mineral composition and crystal structure. Many of the recent deconvolution analyses of reflectance spectra of major rock-forming minerals, such as olivine and pyroxene, have been based on a modified Gaussian Model (MGM). The numerical algorithm of the widely used MGM, however, utilizes the steepest descent method, which has a local minima problem. With inaccurate initial parameters, the steepest descent method converges into a local minimum, thus the analyzer must manually adjust initial parameters and calculate the model repeatedly to obtain the desired solution. In order to avoid the local minimum problem, we utilized Bayesian spectral deconvolution with the exchange Monte Carlo method, which is an improved algorithm of the Markov chain Monte Carlo method, aimed to both avoid local minima traps and remo.. View More»
DOI:
10.4172/2381-8719.1000243