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An Iterative, Dynamically Stabilized (IDS) Method of Data Unfolding

We describe an iterative unfolding method for experimental data, making use of a regularization function. The use of this function allows one to build an improved normalization procedure for Monte Carlo spectra, unbiased by the presence of possible new structures in data. We unfold, in a dynamically...

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Detalles Bibliográficos
Autor principal: Malaescu, Bogdan
Lenguaje:eng
Publicado: CERN 2011
Materias:
Acceso en línea:https://dx.doi.org/10.5170/CERN-2011-006.271
http://cds.cern.ch/record/1365693