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SUMMARY:Identifiability of UHE Gamma-ray Air Showers by Neural-Network-Ana
 lysis
DTSTART;VALUE=DATE-TIME:20070704T194500Z
DTEND;VALUE=DATE-TIME:20070704T194500Z
DTSTAMP;VALUE=DATE-TIME:20260819T210224Z
UID:indico-contribution-1300@cern.ch
DESCRIPTION:Speakers: Mr. WADA\, Yoshimitsu (Graduate School of Science an
 d Engineering\, Saitama University)\nThe chemical composition of Ultra-Hig
 h-Energy (UHE) comic rays is one of unsolved\nmysteries\, and its study wi
 ll give us fruitful information on the origin and\nacceleration mechanism 
 of UHE cosmic rays. Especially\, a detection of UHE gamma-rays\nby hybrid 
 experiments\, such as AUGER and TA\, will be a key to solve these question
 s.\nThe characteristics of UHE gamma-ray showers have been studied on late
 ral and\nlongitudinal structure of shower particles by AIRES and our own s
 imulation code\, so\nfar. There are apparent differences in a slope of lat
 eral distribution (Eta) and a\ndepth of shower maximum (Xmax) between gamm
 a-ray and proton induced showers because\nUHE gamma-ray showers are affect
 ed by the LPM effect and the geomagnetic cascading\nprocess in an energy r
 egion of > 10^19.5eV. Different features between gamma-ray and\nproton sho
 wers are pointed out from the simulation study and an identifiability of\n
 gamma-ray showers from proton ones is also discussed by the method of\nNeu
 ral-Network-Analysis.\n\nhttps://indico.nucleares.unam.mx/event/4/session/
 8/contribution/1300
LOCATION:Merida\, Mexico Regency (Hyatt)
URL:https://indico.nucleares.unam.mx/event/4/session/8/contribution/1300
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