Previous abstract | Graphical version | Text version | Next abstract

Session B10 - Leptons.
ORAL session, Saturday morning, May 01
Governor's Square 11, Adam's Mark Hotel

[B10.009] Neutrino Interaction Classification from a High Energy Prompt Neutrino Beam

N Saoulidou (Fermilab), S Aoki (Kobe University), B Baller (Fermilab), S Chung (Gyeongsang University), C Erickson (University of Minnesota), T Hara (Kobe University), N Hashizume (Nagoya University), K Heller (University of Minnesota), N Hoshino, H Iinuma, K Ito, T Jikou, K Kobayashi (Nagoya University), K Kodama (Aichi Univ. Of Education), M Komatsu (Nagoya University), B Lundberg (Fermilab), E Maher (University of Minnesota), M Miyanishi, M Nakamura, T Nakano, K Niwa, N Nonaka, K Okada (Nagoya University), V Paolone (Pittsburgh University), I Park (Gyeongsang University), R Rameika (Fermilab), J Rhee (Kon-kuk University), T Kafka (Tufts University), J Song (Gyeongsang University), S Takahashi (Nagoya University), G Tzanakos (Athens University), K Ushida (Aichi Univ. Of Education), T Yamamori (Nagoya University)

We present an analysis of the different types of neutrino interactions in the DONUT experiment using neural nets. The neutrino beam was created by 800 GeV protons interacting in a high density absorber. A neural net analysis of short lifetime events from neutrino interactions will also be discussed and compared to our previous results.

Part B of program listing