×
近期发现有不法分子冒充我刊与作者联系,借此进行欺诈等不法行为,请广大作者加以鉴别,如遇诈骗行为,请第一时间与我刊编辑部联系确认(《中国物理C》(英文)编辑部电话:010-88235947,010-88236950),并作报警处理。
本刊再次郑重声明:
(1)本刊官方网址为cpc.ihep.ac.cn和https://iopscience.iop.org/journal/1674-1137
(2)本刊采编系统作者中心是投稿的唯一路径,该系统为ScholarOne远程稿件采编系统,仅在本刊投稿网网址(https://mc03.manuscriptcentral.com/cpc)设有登录入口。本刊不接受其他方式的投稿,如打印稿投稿、E-mail信箱投稿等,若以此种方式接收投稿均为假冒。
(3)所有投稿均需经过严格的同行评议、编辑加工后方可发表,本刊不存在所谓的“编辑部内部征稿”。如果有人以“编辑部内部人员”名义帮助作者发稿,并收取发表费用,均为假冒。
                  
《中国物理C》(英文)编辑部
2024年10月30日

Estimation of the proton energy spectrum in knee region by analog read-out ofARGO-YBJ experiment

Get Citation
QU Xiao-Bo, CHEN Song-Zhan, ZHA Min, ZHANG Xue-Yao and FENG Cun-Feng. Estimation of the proton energy spectrum in knee region by analog read-out ofARGO-YBJ experiment[J]. Chinese Physics C, 2008, 32(10): 807-811. doi: 10.1088/1674-1137/32/10/008
QU Xiao-Bo, CHEN Song-Zhan, ZHA Min, ZHANG Xue-Yao and FENG Cun-Feng. Estimation of the proton energy spectrum in knee region by analog read-out ofARGO-YBJ experiment[J]. Chinese Physics C, 2008, 32(10): 807-811.  doi: 10.1088/1674-1137/32/10/008 shu
Milestone
Received: 2008-01-18
Revised: 2008-06-16
Article Metric

Article Views(4062)
PDF Downloads(750)
Cited by(0)
Policy on re-use
To reuse of subscription content published by CPC, the users need to request permission from CPC, unless the content was published under an Open Access license which automatically permits that type of reuse.
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Email This Article

Title:
Email:

Estimation of the proton energy spectrum in knee region by analog read-out ofARGO-YBJ experiment

    Corresponding author: CHEN Song-Zhan,

Abstract: 

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.

    HTML

Reference (1)

目录

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return