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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Main Author: Tang, Zhen
Format: Others
Published: Research Showcase @ CMU 2014
Subjects:
Online Access:http://repository.cmu.edu/dissertations/440
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1440&context=dissertations
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spelling 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
collection NDLTD
format Others
sources NDLTD
topic Physics
spellingShingle 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
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