Rapid identification of supernovae at SNO+

<p>Core-collapse supernova are some of the most cataclysmic events known to occur in the universe. During the brief time of collapse and explosion, a supernova releases as much energy as the progenitor star does over its entire lifetime. 99% of this energy is thought to be emitted as neutrinos...

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Bibliographic Details
Main Author: Cavalli, L
Other Authors: Biller, S
Format: Thesis
Published: 2015
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author Cavalli, L
author2 Biller, S
author_facet Biller, S
Cavalli, L
author_sort Cavalli, L
collection OXFORD
description <p>Core-collapse supernova are some of the most cataclysmic events known to occur in the universe. During the brief time of collapse and explosion, a supernova releases as much energy as the progenitor star does over its entire lifetime. 99% of this energy is thought to be emitted as neutrinos, detectable by SNO+ via charged and neutral current interactions. This thesis explores the use of distinctive supernova neutrino interactions, specifically inverse beta decay and <sup>12</sup>C de-excitation, in order to rapidly tag supernova candidates on an event-by-event basis using a processor running near-line to the main SNO+ computing architecture. This was achieved via the design and construction of a prototype trigger system, known as the L3, running within the main SNO+ analysis software package RAT. Preliminary results over simulated supernova data at 10, 30 and 100 kpc are presented, alongside tests over early SNO+ darkrun data. Finally, L3 efficiency calculations are performed over Monte Carlo data in scintillator, with the prototype trigger demonstrating greater than 95% efficiency at tagging galactic supernova out to approximately 20 kpc.<p></p></p>
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spelling oxford-uuid:f2726eeb-6ba1-4dec-b6c8-94e6337dc9672022-03-27T12:03:52ZRapid identification of supernovae at SNO+Thesishttp://purl.org/coar/resource_type/c_bdccuuid:f2726eeb-6ba1-4dec-b6c8-94e6337dc967ORA Deposit2015Cavalli, LBiller, S<p>Core-collapse supernova are some of the most cataclysmic events known to occur in the universe. During the brief time of collapse and explosion, a supernova releases as much energy as the progenitor star does over its entire lifetime. 99% of this energy is thought to be emitted as neutrinos, detectable by SNO+ via charged and neutral current interactions. This thesis explores the use of distinctive supernova neutrino interactions, specifically inverse beta decay and <sup>12</sup>C de-excitation, in order to rapidly tag supernova candidates on an event-by-event basis using a processor running near-line to the main SNO+ computing architecture. This was achieved via the design and construction of a prototype trigger system, known as the L3, running within the main SNO+ analysis software package RAT. Preliminary results over simulated supernova data at 10, 30 and 100 kpc are presented, alongside tests over early SNO+ darkrun data. Finally, L3 efficiency calculations are performed over Monte Carlo data in scintillator, with the prototype trigger demonstrating greater than 95% efficiency at tagging galactic supernova out to approximately 20 kpc.<p></p></p>
spellingShingle Cavalli, L
Rapid identification of supernovae at SNO+
title Rapid identification of supernovae at SNO+
title_full Rapid identification of supernovae at SNO+
title_fullStr Rapid identification of supernovae at SNO+
title_full_unstemmed Rapid identification of supernovae at SNO+
title_short Rapid identification of supernovae at SNO+
title_sort rapid identification of supernovae at sno
work_keys_str_mv AT cavallil rapididentificationofsupernovaeatsno