New approaches for boosting to uniformity
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Williams_New approaches.pdf
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2.06 MB
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Author(s)
Rogozhnikov, A.
Bukva, A.
Gligorov, V.
Ustyuzhanin, A.
Williams, Michael
Date Issued
March 2015
Journal
Journal of Instrumentation
Publisher
IOP Publishing
Citation
Rogozhnikov, A., A. Bukva, V. Gligorov, A. Ustyuzhanin, and M. Williams. “New Approaches for Boosting to Uniformity.” Journal of Instrumentation 10, no. 03 (March 1, 2015): T03002–T03002. © CERN 2015
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1748-0221/10/03/t03002
