Filters
Results 1 - 1 of 1
Results 1 - 1 of 1.
Search took: 0.018 seconds
[en] This paper discusses some aspects of deconvolution of one-dimensional spectra in the framework of the Least Squares Method and presents a minimum variance regularization procedure. Covariance matrices are taken into account in every step. Fluctuation and artifacts, both in the deconvolved are regularized spectra, are related to the structure of the covariance matrices. The method is applied to a simulated spectrum to the 34 S (γ,xn) cross section determination from actual yield data. (author)
Journal
