Recent Results from MiniBooNE (2008)
Recent results from MiniBooNE are described. These include neutrino oscillation results, low energy anomaly, and neutrino/antineutrino cross sections.
Studies of Stability and Robustness for Artificial Neural Networks and Boosted Decision Trees (2006)
Yang, Hai-Jun, Roe, Byron P., Zhu, Ji
In this paper, we compare the performance, stability and robustness of Artificial Neural Networks (ANN) and Boosted Decision Trees (BDT) using MiniBooNE Monte Carlo samples. These methods attempt to...
Studies of Boosted Decision Trees for MiniBooNE Particle Identification (2005)
Yang, Hai-Jun, Roe, Byron P., Zhu, Ji
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...
Roe, Byron P., Yang, Hai-Jun, Zhu, Ji, Liu, Yong, Stancu, Ion, McGregor, Gordon
The efficacy of particle identification is compared using artificial neutral networks and boosted decision trees. The comparison is performed in the context of the MiniBooNE, an experiment at...
Event Selection Using an Extended Fisher Discriminant Method (2003)
This note discusses the problem of choosing between hypotheses in a situation with many, correlated non-normal variables. A new method is introduced to shrink the many variables into a smaller subset...
Setting Confidence Belts (2000)
Roe, Byron P., Woodroofe, Michael B.
We propose using a Bayes procedure with uniform improper prior to determine credible belts for the mean of a Poisson distribution in the presence of background and for the continuous problem of...
Improved Probability Method for Estimating Signal in the Presence of Background (1998)
Roe, Byron P., Woodroofe, Michael B.
A suggestion is made for improving the Feldman Cousins method of estimating signal counts in the presence of background. The method concentrates on finding essential information about the signal and...