Speaker
Prof.
Michael Schmelling
(Max-Planck-Institut für Kernphysik Heidelberg)
Description
Data analysis is often faced with the problem to determine the properties of a signal in the presence of background. A measurement is possible if the two components can be statistically separated in a discriminant variable, provided the probability density functions in this variable are known or can be estimated from the data. This is realized by Custom Orthogonal Weight functions (COWs). The talk explains the method and illustrates it by means of numerical examples.