Anisotropy in the mass composition from the Telescope Array Surface Detector data

被引：0

作者：

Rubtsov, Grigory ^{[1
]}

Sokolsky, Pierre ^{[2
,3
]}

Troitsky, Sergey ^{[1
]}

Zhezher, Yana ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Nucl Res, 60th October Anniversary St 7A, Moscow 117312, Russia

[2] Univ Utah, High Energy Astrophys Inst, Salt Lake City, UT 84112 USA

[3] Univ Utah, Dept Phys & Astron, Salt Lake City, UT 84112 USA

来源：

36TH INTERNATIONAL COSMIC RAY CONFERENCE, ICRC2019 | 2021年

基金：

俄罗斯科学基金会;

关键词：

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

The mass composition of the Telescope Array surface detector data is analyzed with the use of the Boosted Decision Trees (BDT) technique, which assigns one parameter xi for each event, which is then concequently used for the determination of the average atomic mass of the primary particle. Itself, xi parameter may be distributed unevenly across the sky and indicate the mass composition anisotropy of the ultra-high-energy cosmic rays. The sensitivity of the BDT-based mass composition technique to the possible anisotropies is tested with the use of the xi distribution with the use of the proton and iron Telesope Array surface detector Monte-Carlo sets.

引用

页数：7

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