来自旧宇宙射线的新见解:对KASCADE档案数据的新分析

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) Pub Date : 2021-08-06 DOI:10.22323/1.395.0319

D. Kostunin, I. Plokhikh, M. Ahlers, V. Tokareva, V. Lenok, P. Bezyazeekov, S. Golovachev, V. Sotnikov, R. Mullyadzhanov, E. Sotnikova

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引用次数: 4

摘要

KASCADE气淋实验收集的宇宙射线数据在质量和统计方面与现代天文台的数据具有竞争力。基于KASCADE宇宙射线数据中心(KCDC)提供的1998 - 2013年的档案数据，我们提出了一种新的质量成分分析方法。该分析基于KCDC提供的模拟数据训练的现代机器学习技术。我们给出了初生原子核各群的光谱，在考虑质量组成的事件到达方向上搜索各向异性的结果，以及在PeV能量域中搜索伽马射线候选者的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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New insights from old cosmic rays: A novel analysis of archival KASCADE data

Cosmic ray data collected by the KASCADE air shower experiment are competitive in terms of quality and statistics with those of modern observatories. We present a novel mass composition analysis based on archival data acquired from 1998 to 2013 provided by the KASCADE Cosmic ray Data Center (KCDC). The analysis is based on modern machine learning techniques trained on simulation data provided by KCDC. We present spectra for individual groups of primary nuclei, the results of a search for anisotropies in the event arrival directions taking mass composition into account, and search for gamma-ray candidates in the PeV energy domain.

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Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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