Bayesian deconvolution I: Convergent properties

Study of the133Cs(?,n)132Cs reaction

“…2, the spectrum is quite complex, with most structures only partly resolved. In order to determine the energies and intensities of the photoneutron groups, the technique of Bayesian deconvolution [11][12][13] was employed. A response function which corrected for residual pileup was developed using the pulser shape as a model.…”

Study of the165Ho(?,n)164Ho reaction

“…The spectrum was then deconvolved [7] to obtain peak centroids and areas of the components. The energies of the neutron groups were then determined from the peak centroids, while the relative intensities were deduced from the peak areas corrected for the detector efficiency [8].…”

Transient multiexponential signals analysis using Bayesian deconvolution

“…The weight function Z is known to be a dispersive operator. Therefore P (0) (A k ) will lie within the bound of P(dS) and equating P (0) (A k ) to P(dS) represents a realistic first estimation [16]. Once the priori probabilities of P (0) (A k ) is known, the solution can be infinitely close to the real value after enough times of iterations.…”