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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:3
UID:UW-Physics-Event-8862
DTSTART:20240819T193000Z
DTEND:20240819T203000Z
DTSTAMP:20260413T184844Z
LAST-MODIFIED:20240903T214637Z
LOCATION:WIPAC Supernova
SUMMARY:The Camera System and Tau Neutrino Research in the TRIDENT Exp
 eriment\, NPAC (Nuclear/Particle/Astro/Cosmo) Forum\, Wei Tian\, Tsung
 -Dao Lee Institute\, Shanghai Jiao Tong University\, China
DESCRIPTION:Following the groundbreaking discovery and studies of astr
 ophysical neutrinos by IceCube\, TRIDENT has been proposed as a next-g
 eneration neutrino telescope\, planned for construction at a depth of 
 around 3\,500 meters in the Western Pacific Ocean. It aims to enhance 
 the search for astrophysical neutrino sources and optimize all-flavor 
 neutrino detection.
\nAs a water-based neutrino telescope\, TRIDENT fa
 ces unique challenges in optical calibration due to the time-varying a
 nd non-uniform optical properties of the dynamic water medium. In this
  talk\, I will present a custom-designed CMOS camera system and its ad
 aptive image processing algorithms for real-time optical calibration\,
  which were successfully demonstrated in TRIDENT’s Pathfinder experi
 ment in 2021.
\nLooking ahead\, tau neutrino identification is crucial
  for effective flavor separation in TRIDENT. I will also share the lat
 est progress in tau classification\, utilizing the double pulse algori
 thm and exploring the integration of Graph Neural Network techniques\,
  based on the independent PMT waveform readout by TRIDENT's hDOM.
\n
URL:https://www.physics.wisc.edu/events/?id=8862
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