A bayesian approach for the joint decomposition of a sequence of photoelectron spectra
This work deals with the decomposition of a temporal sequence of photoelectron spectra into a sum of peaks whose positions, amplitudes and widths are estimated. Since the peaks exhibit a (slow) evolution with time, the decomposition is performed jointly on the whole sequence to take this temporal in...
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| Veröffentlicht in: | Traitement du signal 2013, Vol.30 (1-2), p.9-34 |
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| container_end_page | 34 |
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| container_issue | 1-2 |
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| container_title | Traitement du signal |
| container_volume | 30 |
| creator | Mazet, V. Faisan, S. Masson, A. Gaveau, M.A. Poisson, L. Mestdagh, J.M. |
| description | This work deals with the decomposition of a temporal sequence of photoelectron spectra into a sum of peaks whose positions, amplitudes and widths are estimated. Since the peaks exhibit a (slow) evolution with time, the decomposition is performed jointly on the whole sequence to take this temporal information into account. To this end, we have developed a Bayesian model where a Markov random field favors a smooth evolution of peaks. The approach is unsupervised and a Gibbs sampler within a simulated annealing scheme enables to estimate the maximum a posteriori. We show the relevance of this approach compared with a method in which the spectra are decomposed separately and present an application on real photoelectron data. |
| doi_str_mv | 10.3166/TS.30.9-34 |
| format | Article |
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| ispartof | Traitement du signal, 2013, Vol.30 (1-2), p.9-34 |
| issn | 0765-0019 1958-5608 |
| language | eng ; fre |
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| subjects | Chemical Sciences or physical chemistry Theoretical and |
| title | A bayesian approach for the joint decomposition of a sequence of photoelectron spectra |
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