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Decomposition of multicomponent mass spectra using Bayesian probability theory

✍ Scribed by H. D. Kang; R. Preuss; T. Schwarz-Selinger; V. Dose

Publisher: John Wiley and Sons
Year: 2002
Tongue: English
Weight: 148 KB
Volume: 37
Category: Article
ISSN: 1076-5174
DOI: 10.1002/jms.335

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✦ Synopsis

Abstract

We present a method for the decomposition of the mass spectra of mixed gases using Bayesian probability theory. The method works without any calibration measurement and therefore applies also to the analysis of spectra containing unstable species. For the example of mixtures of three different hydrocarbon gases the algorithm provides concentrations and cracking coefficients of each mixture component and also their confidence intervals. The amount of information needed to obtain reliable results and its relation to the accuracy of our analysis are discussed. Copyright © 2002 John Wiley & Sons, Ltd.

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Analysis of multicomponent mass spectra

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✍ T. Schwarz-Selinger; R. Preuss; V. Dose; W. von der Linden 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 155 KB

## Abstract In this paper we develop a method for the decomposition of mass spectra of gas mixtures, together with the relevant calibration measurements. The method is based on Bayesian probability theory. Given a set of spectra, the algorithm returns the relative concentrations and the associated