Studies of Boosted Decision Trees for MiniBooNE Particle Identification

Physics – Data Analysis – Statistics and Probability

Scientific paper

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28 pages, 22 figures, submitted to Nucl. Inst & Meth. A

Scientific paper

10.1016/j.nima.2005.09.022

Boosted decision trees are applied to particle identification in the
MiniBooNE experiment operated at Fermi National Accelerator Laboratory
(Fermilab) for neutrino oscillations. Numerous attempts are made to tune the
boosted decision trees, to compare performance of various boosting algorithms,
and to select input variables for optimal performance.

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