XIIth Quark Confinement and the Hadron Spectrum

The inverse bagging algorithm

2 Sept 2016, 17:50

20m

Kalliopi (Makedonia Palace)

Statistical Methods for Physics Analysis Special Section Statistical Methods for Physics Analysis in the XXI Century

Speaker

Pietro Vischia (LIP Laboratorio de Instrumentacao e Fisica Experimental de Part)

Description

For data sets populated by a very well modeled process and by another process of unknown p.d.f., a desired feature when manipulating the fraction of the unknown process (either for enhancing it or suppressing it) consists in avoiding modifying the kinematic distributions of the well modeled one. A bootstrap technique is used to identify sub-samples rich in the well modeled process, and classify each event according to the frequency of it being part of such sub-samples. Comparisons with general MVA algorithms will be shown, as well as a study of the asymptotic properties of the method.

Presentation materials

2016-09-02_inverseBaggingAtQHCS12Conference_vischia.pdf