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arXiv 2110.00501astro-ph.HE
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统计研究cosmic ray核和电子的最佳局域源

Statistically study the optimal local sources for cosmic ray nuclei and electron

Qing Luo, Bing-qiang Qiao, Wei Liu, Shu-wang Cui, Yi-qing Guo

摘要:

在过去的工作中,局部源,如Geminga SNR,可能对质子、电子和各向异性的异常起着重要的作用。事实上,在太阳系周围$1$ kpc范围内存在12个信噪比。一个问题是,其他的信噪比是否也可能对原子核和电子的谱作出贡献,并解释各向异性的特殊结构?本文在空间相关传播条件下,系统地研究了太阳周围1 kpc范围内所有局域信噪比对原子核和电子能谱的贡献,以及各向异性的能量依赖性。结果表明,只有Geminga、Monogem和Vela三个SNR对原子核和电子能谱以及各向异性有定量贡献。在这里,Geminga SNR是唯一的最佳候选,Monogem SNR是有争议的,由于模型计算和观测之间的各向异性的张力。Vela SNR贡献了TeV能量之外的新光谱结构,HESS,VERITAS,DAMPE和CALET测量暗示了这一点。更有趣的是,电子各向异性满足费米-LAT极限低于TeV的能量,但大大上升,并达到$10\%$在几个TeV。这种新的结构将为检验我们的模型提供新的思路。我们希望在不久的将来,通过星载的DAMPE和HERD以及地基的HAWC和LHAASO实验,可以观测到电子谱和各向异性的新结构。

英文摘要:

The local sources, such as Geminga SNR, may play important role for the anomaly of proton, electron and anisotropy in the past works. In fact, there exists twelve SNRs around solar system within $1$ kpc. One question is that can other SNRs also possibly contribute the spectra of nuclei and electron and explain the special structure of anisotropy? In this work, under the spatial-dependent propagation, we systematically study the contribution of all local SNRs within 1 kpc around solar to the spectra of nuclei and electron, as well as the energy dependence of anisotropy. As a result, only Geminga, Monogem, and Vela SNRs have quantitive contribution to the nuclei and electron spectra and anisotropy. Here, Geminga SNR is the sole optimal candidate and Monogem SNR is controversial due to the tension of anisotropy between model calculation and observations. The Vela SNR contributes a new spectral structure beyond TeV energy, hinted by HESS, VERITAS, DAMPE and CALET measurements. More interesting is that the electron anisotropy satisfies the Fermi-LAT limit below TeV energy, but rises greatly and reaches $10\%$ at several TeV. This new structure will shed new light to check our model. We hope that the new structure of electron spectrum and anisotropy can be observed by space-borne DAMPE and HERD and ground-based HAWC and LHAASO experiments in the near future.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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