Hadronic model-independent method for determining cosmic-ray composition: Application to KASCADE data

Nicusor Arsene
{"title":"Hadronic model-independent method for determining cosmic-ray composition: Application to KASCADE data","authors":"Nicusor Arsene","doi":"10.22323/1.444.0484","DOIUrl":null,"url":null,"abstract":"In this contribution, we present the results of the investigation into the utility of the 𝐿𝐶𝑚 parameter as a discriminator for the mass composition of cosmic radiation recorded in experiments employing a relatively compact array of detectors. Based on the entire simulation/reconstruction chain of extensive air showers in the KASCADE experiment, we found that this 𝐿𝐶𝑚 parameter is independent of the employed hadronic interaction models: QGSjet-II-04, EPOS-LHC, and SIBYLL 2.3d. By reconstructing the experimental distributions of 𝐿𝐶𝑚 from the measured data of the KASCADE experiment, we extracted the mass composition based on this parameter using Monte Carlo predictions for five primary species (p, He, C, Si, and Fe) in the energy range lg ( 𝐸 / eV ) = [ 15 . 0 - 16 . 0 ] . The obtained results are highly consistent with those previously obtained by the KASCADE and IceTop Collaborations. Furthermore, the evolution of the individual fraction of particle types with primary energy is in excellent agreement with various astrophysical models that explain the knee as an effect of the acceleration and propagation of cosmic rays within the Galaxy.","PeriodicalId":448458,"journal":{"name":"Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023)","volume":"66 16","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.444.0484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this contribution, we present the results of the investigation into the utility of the 𝐿𝐶𝑚 parameter as a discriminator for the mass composition of cosmic radiation recorded in experiments employing a relatively compact array of detectors. Based on the entire simulation/reconstruction chain of extensive air showers in the KASCADE experiment, we found that this 𝐿𝐶𝑚 parameter is independent of the employed hadronic interaction models: QGSjet-II-04, EPOS-LHC, and SIBYLL 2.3d. By reconstructing the experimental distributions of 𝐿𝐶𝑚 from the measured data of the KASCADE experiment, we extracted the mass composition based on this parameter using Monte Carlo predictions for five primary species (p, He, C, Si, and Fe) in the energy range lg ( 𝐸 / eV ) = [ 15 . 0 - 16 . 0 ] . The obtained results are highly consistent with those previously obtained by the KASCADE and IceTop Collaborations. Furthermore, the evolution of the individual fraction of particle types with primary energy is in excellent agreement with various astrophysical models that explain the knee as an effect of the acceleration and propagation of cosmic rays within the Galaxy.
独立于强子模型的宇宙射线成分测定方法:应用于 KASCADE 数据
在这篇论文中,我们介绍了对𝐿𝐶𝑚参数作为在采用相对紧凑探测器阵列的实验中记录的宇宙辐射质量成分的判别器的实用性的调查结果。基于 KASCADE 实验中大范围空气淋浴的整个模拟/重建链,我们发现这个 𝐶𝐿𝑚 参数与所采用的强子相互作用模型无关:QGSjet-II-04、EPOS-LHC 和 SIBYLL 2.3d。通过从 KASCADE 实验的测量数据中重建𝐶𝐿𝑚的实验分布,我们使用蒙特卡洛预测法提取了能量范围 lg ( 𝐸 / eV ) = [ 15 . 0 - 16 . 0 ] 的五个主要物种(p、He、C、Si 和 Fe)基于该参数的质量组成。得到的结果与 KASCADE 和 IceTop 协作组之前得到的结果高度一致。此外,粒子类型的单个分数随主能量的演变与各种天体物理模型非常一致,这些模型将膝盖解释为宇宙射线在银河系内加速和传播的效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信