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PRODID:UW-Madison-Physics-Events
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SEQUENCE:1
UID:UW-Physics-Event-7816
DTSTART:20220824T190000Z
DTEND:20220824T230000Z
DTSTAMP:20260414T113435Z
LAST-MODIFIED:20220823T173947Z
LOCATION:Chamberlin 4274 
SUMMARY:Measuring the Atmospheric Neutrino Oscillation Parameters with
  IceCube DeepCore\, Thesis Defense\, Kayla DeHolton \, Physics PhD Gra
 duate Student
DESCRIPTION:The discovery of neutrino oscillations (and consequently t
 he implication that neutrinos have mass) is one of the only confirmed 
 pieces of evidence of physics beyond the Standard Model. Since this di
 scovery\, there has been a worldwide effort to measure the model param
 eters that describe these oscillations. The DeepCore sub-array within 
 the IceCube Neutrino Observatory is a densely instrumented detector em
 bedded in the Antarctic ice at the South Pole and detects Cherenkov li
 ght from the interactions of atmospheric neutrinos with energies down 
 to 5 GeV. At these energies\, Earth-crossing muon neutrinos have a hig
 h chance of oscillating to tau neutrinos. DeepCore is able to measure 
 these oscillations with precision comparable to accelerator-based expe
 riments\, but it is also complementary to accelerator measurements bec
 ause it probes longer distance scales and higher energies\, peaking ab
 ove the tau lepton production threshold. This dissertation presents th
 e effort involved in curating one of the largest neutrino oscillation 
 datasets in the world\, with over 200\,000 events spanning almost 10 y
 ears and a neutrino purity of over 99%. The nearly unprecedented level
  of statistics also requires unprecedented precision in the treatment 
 of systematic uncertainties and other analysis techniques. I will pres
 ent the status of an analysis to measure the atmospheric neutrino osci
 llation parameters using the full dataset\, as well as the unblinded r
 esults of a measurement performed with a sub-sample containing 20% of 
 the full dataset.
URL:https://www.physics.wisc.edu/events/?id=7816
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