Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment
In this thesis, we discuss the optimization procedure for the TAUWER (TAU shoWER) experiment, which is designed to detect showers generated by Earth-skimming neutrinos. Monte Carlo Simulations are done through CORSIKA (COsmic Ray SImulations for KAscade) software to provide us with detailed informat...
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ndltd-cmu.edu-oai-repository.cmu.edu-dissertations-14402015-05-23T03:38:33Z Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment Tang, Zhen In this thesis, we discuss the optimization procedure for the TAUWER (TAU shoWER) experiment, which is designed to detect showers generated by Earth-skimming neutrinos. Monte Carlo Simulations are done through CORSIKA (COsmic Ray SImulations for KAscade) software to provide us with detailed information about hit patterns on the detector array from these showers. We use this to determine the trigger conditions, rates, and optimal detector layout. We also use machine learning classification methods to generate classifiers to assign the energy scale for observed showers. 2014-05-01T07:00:00Z text application/pdf http://repository.cmu.edu/dissertations/440 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1440&context=dissertations Dissertations Research Showcase @ CMU Physics |
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Physics Tang, Zhen Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment |
description |
In this thesis, we discuss the optimization procedure for the TAUWER (TAU shoWER) experiment, which is designed to detect showers generated by Earth-skimming neutrinos. Monte Carlo Simulations are done through CORSIKA (COsmic Ray SImulations for KAscade) software to provide us with detailed information about hit patterns on the detector array from these showers. We use this to determine the trigger conditions, rates, and optimal detector layout. We also use machine learning classification methods to generate classifiers to assign the energy scale for observed showers. |
author |
Tang, Zhen |
author_facet |
Tang, Zhen |
author_sort |
Tang, Zhen |
title |
Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment |
title_short |
Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment |
title_full |
Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment |
title_fullStr |
Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment |
title_full_unstemmed |
Development of an Energy Determination Algorithm and the Optimized Detector Design for an Ultrahigh-Energy Cosmic Neutrino Experiment |
title_sort |
development of an energy determination algorithm and the optimized detector design for an ultrahigh-energy cosmic neutrino experiment |
publisher |
Research Showcase @ CMU |
publishDate |
2014 |
url |
http://repository.cmu.edu/dissertations/440 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1440&context=dissertations |
work_keys_str_mv |
AT tangzhen developmentofanenergydeterminationalgorithmandtheoptimizeddetectordesignforanultrahighenergycosmicneutrinoexperiment |
_version_ |
1716804109235912704 |