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SUMMARY:JUNO’s potential for GeV events
DTSTART;VALUE=DATE-TIME:20230907T102000Z
DTEND;VALUE=DATE-TIME:20230907T104000Z
DTSTAMP;VALUE=DATE-TIME:20260306T085059Z
UID:indico-contribution-2805@indico.tlabs.ac.za
DESCRIPTION:Speakers: Hongyue Duyang (Shandong University)\nThe Jiangmen U
 nderground Neutrino Observatory (JUNO) is a next-generation 20\nkton liqui
 d scintillator detector under construction in southern China. It is design
 ed to determine the neutrino mass ordering via the measurement of reactor 
 neutrino oscillation. In addition\, it has the potential for various other
  topics including atmospheric neutrinos\, cosmic muons\, etc.\, in the GeV
  energy region. Liquid scintillator detectors such as JUNO have good energ
 y resolution and low threshold\, but traditionally have relatively limited
  capabilities in tracking and directionality measurements. In this talk\, 
 I present the development of a novel reconstruction method which greatly e
 xpands JUNO’s capability for GeV events. This method combines PMT wavefo
 rm analysis and machine learning techniques\, and can be used to reconstru
 ct multiple quantities such as directionality\, energy\, vertex\, and trac
 k. Preliminary performance results with MC simulation are presented. The m
 ethod is applicable to other liquid scintillator detectors as well\, which
  makes liquid scintillator detectors good candidates for future physics me
 asurements in the GeV energy region.\n\nhttps://indico.tlabs.ac.za/event/1
 12/contributions/2805/
LOCATION: Auditorium 2
URL:https://indico.tlabs.ac.za/event/112/contributions/2805/
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