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Автор Qu Xiao-Bo
Автор Chen Song-Zhan
Автор Zha Min
Автор Zhang Xue-Yao
Автор Feng Cun-Feng
Дата выпуска 2008-10-01
dc.description Based on the six months data set of ARGO-YBJ experiment with analog read-out and its Monte Carlo simulation, we study the difference between different primaries induced showers by using the space-time information of the charged particles in Extensive Air Showers. With five parameters which can efficiently pick out primary proton induced showers as inputs of an artificial neural network, the proton spectrum from 100 TeV to 10 PeV can be obtained.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт 2008 Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Sciences and the Institute of Modern Physics of the Chinese Academy of Sciences
Название Estimation of the proton energy spectrum in knee region by analog read-out of ARGO-YBJ experimentSupported by National Natural Science Foundation of China (10120130794)
Тип paper
DOI 10.1088/1674-1137/32/10/008
Electronic ISSN 2058-6132
Print ISSN 1674-1137
Журнал Chinese Physics C
Том 32
Первая страница 807
Последняя страница 811
Выпуск 10

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