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August 28, 2016 to September 4, 2016
Europe/Athens timezone

The inverse bagging algorithm

Sep 2, 2016, 5:50 PM
20m
Kalliopi (Makedonia Palace)

Kalliopi

Makedonia Palace

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.

Primary author

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

Co-author

Tommaso Dorigo (Universita e INFN, Padova (IT))

Presentation materials