Abstract:
:Spectrum deconvolution is an important task in ionizing radiation measurements, as the pulse height spectra, or, in general, the measured data from spectrometers or other measuring instruments are usually determined by the convolution of the response function with the fluence spectra. The method presented here for obtaining fluence spectra from the measurements is an application of Bayesian parameter estimation to the deconvolution of X-ray emission data. The problem of choosing the optimal model among several possible models is also considered, as well as an approach to include contributions from various sources of uncertainty, both correlated and uncorrelated. The application is carried out using the Bayesian software WinBUGS.
journal_name
Radiat Prot Dosimetryjournal_title
Radiation protection dosimetryauthors
Behrens R,Reginatto Mdoi
10.1093/rpd/ncy286subject
Has Abstractpub_date
2019-12-23 00:00:00pages
157-167issue
2eissn
0144-8420issn
1742-3406pii
5281267journal_volume
185pub_type
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