Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval

Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval

We develop an automatic peak fitting algorithm using the Bayesian information criterion (BIC) fitting method with confidence-interval estimation in spectral decomposition. First, spectral decomposition is carried out by adopting the Bayesian exchange Monte Carlo method for various artificial spectra...

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Bibliographic Details
Main Authors:	Hiroshi Shinotsuka, Kenji Nagata, Hideki Yoshikawa, Yoh-Ichi Mototake, Hayaru Shouno, Masato Okada
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2020-01-01
Series:	Science and Technology of Advanced Materials
Subjects:	x-ray photoelectron spectroscopy spectral decomposition pseudo-voigt function bayesian estimation exchange monte carlo method
Online Access:	http://dx.doi.org/10.1080/14686996.2020.1773210

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