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Published byBrianne Austin Modified over 9 years ago
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Cara Esposito Saint Joseph’s University Dr. Kate Scholberg Duke University
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Brief background on neutrinos, supernovae, and the HALO detector Efficiency and the important information gained from examining the efficiency Sensitivity for HALO Summary
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The Equation above is for the probability of detecting flavor g at L for a two flavor case. Although there are three flavors, the Δ m 2 remains Normal Mass Hierarchy (NMH) has one heavy and two light mass states, while IMH has two heavy and one light mass state
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Supernovae happen when a massive star can no longer sustain itself and it explodes 99% of the energy of core collapse supernovae is neutrinos BeforeAfter
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SNOLab in Canada 79 tons of lead 128 helium detectors 2 km underground HALO 2 is currently in the developing phase and will most likely use 1 kiloton of lead Helium Detectors Lead
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Visualization of the simulation using Geant4
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The left panel is for inverted mass hierarchy The right panel is for normal mass hierarchy
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From the energy deposited in the detector we can determine whether it’s a 1N or a 2N event.
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1N 2n
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Tells us how well the detector works
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HALO 1’s sensitivity for 5kpc supernovae Contours in which ninety percent of the number of one- neutron and two- neutron events fall The different colored curves correspond to different spectral parameters
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For 10 kpc supernovae HALO 1 can only constrain extreme models
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HALO 2 ‘s discriminatory power will increase with a greater number of counts for 10 kpc supernovae.
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Simulated neutron events in the HALO Geant4 simulator Efficiency for 1N events is approximately 36% Efficiency for 2N events is approximately 56% HALO 1 has good sensitivity for 5 kpc supernovae, but can only constrain extreme models for 10 kpc supernovae HALO 2 the larger the number of counts, the greater the yield for the discriminatory power
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K.Scholberg, C.Walter, A.Himmel, Duke University High Energy Physics Neutrino Group Triangle Universities Nuclear Laboratory's Research Experience for Undergraduates Halo Collaboration/SNOLab
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