Figure 3. Values of the correction factor kmtx,j for the sixty energy channels j = 1,…,60. The values for ten iteration steps are shown. In addition, the.

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Figure 3. Values of the correction factor kmtx,j for the sixty energy channels j = 1,…,60. The values for ten iteration steps are shown. In addition, the vertical lines indicate the standard uncertainties multiplied by two, i.e. the 95% coverage interval, defined at the borders of the five intervals, ε<sub>k</sub> for the k = 1,…,6, see text for details. Note that the abscissa has a logarithmic scale as the energy increases exponentially with the channel number. From: BAYESIAN SPECTRUM DECONVOLUTION INCLUDING UNCERTAINTIES AND MODEL SELECTION: APPLICATION TO X-RAY EMISSION DATA USING WINBUGS Radiat Prot Dosimetry. Published online January 09, 2019. doi:10.1093/rpd/ncy286 Radiat Prot Dosimetry | © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Figure 2. Ratios of the calculated and measured doses for the three models for each of four experiments: top left: alloy (31°); top right: tungsten (46°); bottom left: steel (31°); bottom right: tungsten (13°). In the legends, mean values and standard deviations of the dose ratios in the 13 TLD layers are given. From: BAYESIAN SPECTRUM DECONVOLUTION INCLUDING UNCERTAINTIES AND MODEL SELECTION: APPLICATION TO X-RAY EMISSION DATA USING WINBUGS Radiat Prot Dosimetry. Published online January 09, 2019. doi:10.1093/rpd/ncy286 Radiat Prot Dosimetry | © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Figure 1. Fluence spectrum based on parameter values that were used as starting point for the Monte Carlo runs carried out by WinBUGS. Note that the ordinate is broken and the scale after the break has been changed. From: BAYESIAN SPECTRUM DECONVOLUTION INCLUDING UNCERTAINTIES AND MODEL SELECTION: APPLICATION TO X-RAY EMISSION DATA USING WINBUGS Radiat Prot Dosimetry. Published online January 09, 2019. doi:10.1093/rpd/ncy286 Radiat Prot Dosimetry | © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Figure 4. Resulting fluence spectra at the four measuring positions (normalized to the effective irradiation time and 10 cm distance). The uncertainty bars represent the 95% coverage intervals. Note that the ordinate is broken and the scale after the break has been changed. From: BAYESIAN SPECTRUM DECONVOLUTION INCLUDING UNCERTAINTIES AND MODEL SELECTION: APPLICATION TO X-RAY EMISSION DATA USING WINBUGS Radiat Prot Dosimetry. Published online January 09, 2019. doi:10.1093/rpd/ncy286 Radiat Prot Dosimetry | © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Figure 5. Ratios of the calculated and measured doses for the four experiments. The mean values of the ratios, their standard deviations and the median of the χ<sup>2</sup> per data point, χ<sup>2</sup>/N (where N = 13 TLD layers), of the data evaluations, are shown in the key to the symbols. From: BAYESIAN SPECTRUM DECONVOLUTION INCLUDING UNCERTAINTIES AND MODEL SELECTION: APPLICATION TO X-RAY EMISSION DATA USING WINBUGS Radiat Prot Dosimetry. Published online January 09, 2019. doi:10.1093/rpd/ncy286 Radiat Prot Dosimetry | © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Figure A1. Sketch of the few-channel spectrometer (PMMA: Polymethyl methacrylate). From: BAYESIAN SPECTRUM DECONVOLUTION INCLUDING UNCERTAINTIES AND MODEL SELECTION: APPLICATION TO X-RAY EMISSION DATA USING WINBUGS Radiat Prot Dosimetry. Published online January 09, 2019. doi:10.1093/rpd/ncy286 Radiat Prot Dosimetry | © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.comThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)