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Variances and covariances in deconvolution of multichannel spectra: 34S (g, n) cross section

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dc.creator Helene O.
dc.creator Takiya C.
dc.creator Vanin V. R.
dc.date 2001
dc.date.accessioned 2013-05-30T00:36:10Z
dc.date.available 2013-05-30T00:36:10Z
dc.date.issued 2013-05-30
dc.identifier http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332001000100002
dc.identifier http://www.doaj.org/doaj?func=openurl&genre=article&issn=01039733&date=2001&volume=31&issue=1&spage=8
dc.identifier.uri http://koha.mediu.edu.my:8181/jspui/handle/123456789/3128
dc.description 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 inevery step. Fluctuation and artifacts, both in the deconvolved and regularized spectra, are related to the structure of the covariance matrices. The method is applied to a simulated spectrum and to the 34S (gamma, <img src="http:/img/fbpe/bjp/v31n1/02eq05.gif">n) cross section determination from actual yield data.
dc.publisher Sociedade Brasileira de Física
dc.source Brazilian Journal of Physics
dc.title Variances and covariances in deconvolution of multichannel spectra: 34S (g, n) cross section


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