BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:6
UID:UW-Physics-Event-9093
DTSTART:20250224T220000Z
DTEND:20250224T230000Z
DTSTAMP:20260413T165749Z
LAST-MODIFIED:20250224T233929Z
LOCATION:5280 CH & https://uwmadison.zoom.us/j/93056807183?pwd=bmRBTnF
 pQTZSYk1QSUVLb3BBY1M0QT09
SUMMARY:Finding Neutrinos: Advancing Neutrino Detection\, Reconstructi
 on\, and Analysis\, NPAC (Nuclear/Particle/Astro/Cosmo) Forum\, Dr. Je
 ssica Micallef\, Institute for Artificial Intelligence and Fundamental
  Interactions
DESCRIPTION:Neutrino oscillation\, or flavor changing between the neut
 ral leptons\, has indicated that neutrinos do not fit as perfectly int
 o the Standard Model puzzle as they were first predicted. Improving me
 asurements of neutrino oscillation and properties are important to hel
 p us better understand the Standard Model\, and thus how these fundame
 ntal particles influence our universe. To successfully complete their 
 goals\, future experiments aiming to make decisive measurements need r
 esults from the new technology and methods used by current experiments
  and prototypes. Machine Learning (ML) is one such tool that particle 
 physics has begun to employ that can tackle new challenges facing neut
 rino experiments. I will discuss how my work with ML will help the suc
 cess of one of the largest\, future neutrino physics experiments--the 
 Deep Underground Neutrino Experiment.
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\nhttps://uwmadison.zoom.u
 s/rec/share/6l82kyTvHO0WsX-3ob3jZ9cMOXiUBgXMvFO2iLMUqh1TW3rGWhQpV8XSeH
 ebRGia.tnKMzgSGGooV4ju4 
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\nPasscode: 7!SanPTz
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URL:https://www.physics.wisc.edu/events/?id=9093
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