Studies of Boosted Decision Trees for MiniBooNE Particle Identification

Abstract

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.

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

References in corpus (2)

• Evidence for Neutrino Oscillations from the Observation of Electron Anti-neutrinos in a Muon Anti-Neutrino Beam
• Boosted Decision Trees as an Alternative to Artificial Neural Networks for Particle Identification

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