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Analyzing Neutrino Events in Monte Carlo Simulations

By: Alexander Yeagle, Cornell College

Advisors: Dr. Tim Bolton, Dr. Glenn Horton-Smith, Dr. David McKee 

This program is funded by the National Science Foundation through grant number PHY-0851599.

Welcome to my webpage.  The purpose of this page is to explain the research I was a part of at Kansas State University with the High Energy Physics (HEP) group over the summer of 2010. The research was part of the KSU Physics REU program, funded by the National Science Foundation (NSF). I worked on this project with Cristian Gaidau of the University of Minnesota; his webpage can be found here.

For more information, feel free to see the poster or presentation about the research.

 

Project Summary

The goal of this project was to create a reliable procedure for hand-scanning events from computer simulations of the MicroBooNE detector. We wanted to be able to identify events caused by electron-neutrinos (e) and discriminate from all other events.To achieve this goal, we first looked at simulations of single particles and identified their distinctive characteristics. We then learned the physics behind the different scattering modes of more complicated multi-particle events. This information was then used to practice hand-scanning and become reliable scanners. Armed with knowledge of the physics and much practice, we then designed an algorithmic procedure to identify useful e events and reject the background events. Once this procedure was completed and refined, it was subjected to an efficiency test of 100 random events of all types to determine how well it worked. The results and conclusions of our summerís work were presented at a MicroBooNE collaboration meeting at Fermilab.