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SUMMARY:Leverhulme lecture - Testing the MiniBooNE Anomaly with MicroBooNE
 \, and Building the ML Toolkit for What Comes Next
DTSTART:20260508T120000Z
DTEND:20260508T130000Z
DTSTAMP:20260522T122500Z
UID:indico-event-17821@indico.global
DESCRIPTION:Speakers: Taritree Wongjirad\n\nThe MicroBooNE experiment\, an
  85-tonne liquid argon time projection chamber on the Booster Neutrino Bea
 m at Fermilab\, was built to test the long-standing MiniBooNE low-energy e
 xcess. I will present two recent MicroBooNE results that together address 
 both leading interpretations of that anomaly. Using a novel two-beam analy
 sis combining BNB and NuMI data\, MicroBooNE excludes the single light ste
 rile neutrino interpretation of the LSND and MiniBooNE anomalies at 95% CL
 \, with strong consistency with the three-neutrino hypothesis. A complemen
 tary inclusive single-photon search probes the photon-induced interpretati
 on\, and finds a ~2σ excess of low-energy events in the zero-proton sub-s
 ample. This is an intriguing hint\, but one obtained from a selection with
  only ~7% efficiency and ~40% purity\, illustrating how challenging photon
 -channel searches are with current reconstruction tools.\nThis challenge m
 otivates the second half of the talk: a survey of recent machine-learning 
 developments — including deep-learning reconstruction now demonstrated o
 n real MicroBooNE data\, self-supervised foundation models for LArTPC imag
 es\, generative and differentiable detector simulation\, and ML-based unfo
 lding — that promise substantial gains in efficiency\, purity\, and anal
 ysis flexibility. Several of these tools are being developed in part durin
 g my ongoing sabbatical here at the University of Manchester. They will be
  applied to the remaining MicroBooNE data and form a real-data test bed fo
 r the next generation of LArTPC experiments\, including SBN and DUNE.\n\nh
 ttps://indico.global/event/17821/
LOCATION:Bohr Conference Room
URL:https://indico.global/event/17821/
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