BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:3
UID:UW-Physics-Event-6759
DTSTART:20220203T203000Z
DTEND:20220203T213000Z
DTSTAMP:20260414T154349Z
LAST-MODIFIED:20220203T200328Z
LOCATION:Chamberlin 4274 (or https://uwmadison.zoom.us/j/93556102081?p
 wd=cEVvY0FWd3pzRkE0L3k0OEMyeGRpZz09)
SUMMARY:Recent Results from MicroBooNE Addressing the MiniBooNE Anomal
 y Using Deep-Learning-Based Reconstruction\, NPAC (Nuclear/Particle/As
 tro/Cosmo) Forum\, Lauren Yates\, Fermilab
DESCRIPTION:The MicroBooNE experiment uses a liquid argon time project
 ion chamber (LArTPC) located on-axis in the Booster Neutrino Beam at F
 ermilab to perform a wide variety of physics measurements. Recently\, 
 MicroBooNE released its first results addressing the nature of the ano
 malous excess of low-energy interactions previously observed by the Mi
 niBooNE collaboration. This seminar will focus on an approach that iso
 lates electron neutrino interactions consistent with the kinematics of
  charged-current quasi-elastic (CCQE) events. The topology of such sig
 nal events has a final state with one electron and one proton (1e1p). 
 Multiple novel techniques are employed to identify a 1e1p final state\
 , including particle identification that uses two methods of deep-lear
 ning-based LArTPC image analysis and event selection using a boosted d
 ecision-tree ensemble trained to recognize two-body scattering kinemat
 ics.
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URL:https://www.physics.wisc.edu/events/?id=6759
END:VEVENT
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