CERN Accelerating science

New Approaches for Boosting to Uniformity

Date published: 
Monday, 30 March, 2015
Document type: 
Journal paper
A. Rogozhnikov
A. Bukva
V. Gligorov
A. Ustyuzhanin
M. Williams
ABSTRACT: The use of multivariate classifiers has become commonplace in particle physics. To enhance the performance, a series of classifiers is typically trained; this is a technique known as boosting. This paper explores several novel boosting methods that have been designed to produce a uniform selection efficiency in a chosen multivariate space. Such algorithms have a wide range of applications in particle physics, from producing uniform signal selection efficiency across a Dalitz- plot to avoiding the creation of false signal peaks in an invariant mass distribution when searching for new particles.
Event published at: 
Journal of Instrumentation, Volume 10, March 2015
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