Atom nuclide new terminal here12/29/2023 Following Bayesian approach, we estimate all parameters of the model from the data so that y, M, and known ratios are the only inputs of the method. Positivity of the source term estimate is guaranteed by using multivariate truncated Gaussian distribution. Due to uncertainty in the ratios the diagonal elements of the covariance matrix are considered to be unknown. This knowledge is used to form the prior covariance matrix of the source term x. In this contribution, we assume that nuclide ratios of the release is known with some degree of uncertainty. The problem is ill-conditioned and further regularization is needed to obtain a reasonable solution. The task is to estimate the unknown source term x. The proposed method is based on linear inverse model where the observation vector y arise as a linear combination y = Mx of a source-receptor-sensitivity (SRS) matrix M and the source term x. However, physical properties of respective nuclide (deposition properties, decay half-life) can be used when uncertain information on nuclide ratios is available, e.g. The gamma dose rate measurements do not provide a direct information on the source term composition. Usually, the source term of an accidental release of radiation comprises of a mixture of nuclide. We are concerned with estimation of a source term in case of an accidental release from a known location, e.g. Tichý, OndÅ™ej Å mÃdl, Václav Hofman, Radek In other embodiments, computer program products, systems, and other methods are presented for estimating an activity of one or more radio-nuclides.īayesian estimation of a source term of radiation release with approximately known nuclide ratios Shielding and activity estimator for template-based nuclide identification methodsĪccording to one embodiment, a method for estimating an activity of one or more radio-nuclides includes receiving one or more templates, the one or more templates corresponding to one or more radio-nuclides which contribute to a probable solution, receiving one or more weighting factors, each weighting factor representing a contribution of one radio-nuclide to the probable solution, computing an effective areal density for each of the one more radio-nuclides, computing an effective atomic number (Z) for each of the one more radio-nuclides, computing an effective metric for each of the one or more radio-nuclides, and computing an estimated activity for each of the one or more radio-nuclides. The computer readable code is configured, when executed by the processor, to receive spectral data, to extract a feature set from the spectral data comparable to a plurality of templates in a template library, and to use a branch and bound method to determine a probable template match based on the feature set and templates in the template library. In another embodiment, a device for identifying unknown radio-nuclides includes a processor, a multi-channel analyzer, and a memory operatively coupled to the processor, the memory having computer readable code stored thereon. Radio-nuclide mixture identification using medium energy resolution detectorsĪccording to one embodiment, a method for identifying radio-nuclides includes receiving spectral data, extracting a feature set from the spectral data comparable to a plurality of templates in a template library, and using a branch and bound method to determine a probable template match based on the feature set and templates in the template library.
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