通过分析低能量时的阵雨足迹辨别伽马/哈德戎

R. Conceição, A. Guillén, B. S. González, M. Pimenta, B. Tomé
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引用次数: 0

摘要

由于传统的基于μ介子的方法在较低能量时变得不那么有效,因此在地基伽马射线观测站中进行GeV能量范围的伽马/哈得孙分辨具有挑战性。这项研究探索了一种新型的伽马射线/哈德龙分辨方法,该方法利用先进的视觉变换器(ViT)模型分析广泛空气淋浴阵列的淋浴信号足迹模式。这种方法对噪声(包括大气μ介子和低能量质子阵列)的稳健性证明了它在未来伽马射线观测站中的应用潜力。
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Gamma/hadron discrimination through the analysis of the shower footprint at low energies
Gamma/hadron discrimination in ground-based gamma-ray observatories at the GeV energy range is challenging as traditional muon-based methods become less effective at lower energies. This work explores a novel gamma/hadron discrimination method for Extensive Air Shower arrays that analyzes the shower signal footprint patterns using advanced Vision Transformer (ViT) models. The robustness of this method against noise, including atmospheric muons and low-energy proton showers, demonstrates its potential for application in future gamma-ray observatories.
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