Chrastina, D.; Hague, J. P. and Leadley, D. R.
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|DOI (Digital Object Identifier) Link:||http://doi.org/10.1063/1.1621719|
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A powerful method for mobility spectrum analysis is presented, based on Bryan's maximum entropy algorithm. The Bayesian analysis central to Bryan's algorithm ensures that we avoid overfitting of data, resulting in a physically reasonable solution. The algorithm is fast, and allows the analysis of large quantities of data, removing the bias of data selection inherent in all previous techniques. Existing mobility spectrum analysis systems are reviewed, and the performance of the Bryan's algorithm mobility spectrum (BAMS) approach is demonstrated using synthetic data sets. Analysis of experimental data is briefly discussed. We find that BAMS performs well compared to existing mobility spectrum methods.
|Item Type:||Journal Article|
|Copyright Holders:||2003 American Institute of Physics|
|Project Funding Details:||
|Extra Information:||This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics.|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
Biomedical Research Network (BRN)
|Depositing User:||James Hague|
|Date Deposited:||13 May 2009 15:44|
|Last Modified:||04 Aug 2016 13:58|
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