Journal
JOURNAL OF INSTRUMENTATION
Volume 10, Issue -, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/1748-0221/10/03/T03002
Keywords
Analysis and statistical methods; Trigger algorithms
Categories
Funding
- NSF [PHY-1306550]
- Division Of Physics
- Direct For Mathematical & Physical Scien [1306550] Funding Source: National Science Foundation
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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 Dalitzplot to avoiding the creation of false signal peaks in an invariant mass distribution when searching for new particles.
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