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Prediction of the diffuse neutrino flux from cosmic ray interactions near supernova remnants

机译:由超新星残骸附近的宇宙射线相互作用预测弥散中微子通量

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In this paper, we present high-energy neutrino spectra from 21 Galactic supernova remnants (SNRs), derived from gamma-ray measurements in the GeV-TeV range. We find that only the strongest sources, i.e. G40.5-0.5 in the north and Vela Junior in the south could be detected as single point sources by IceCube or KM3NeT, respectively. For the first time, it is also possible to derive a diffuse signal by applying the observed correlation between gamma-ray emission and radio signal. Radio data from 234 supernova remnants listed in Green's catalog are used to show that the total diffuse neutrino flux is approximately a factor of 2.5 higher compared to the sources that are resolved so far. We show that the signal at above 10 TeV energies can actually become comparable to the diffuse neutrino flux component from interactions in the interstellar medium. Recently, the IceCube collaboration announced the detection of a first diffuse signal of astrophysical high-energy neutrinos. Directional information cannot unambiguously reveal the nature of the sources at this point due to low statistics. A number of events come from close to the Galactic center and one of the main questions is whether at least a part of the signal can be of Galactic nature. In this paper, we show that the diffuse flux from well-resolved SNRs is at least a factor of 20 below the observed flux. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
机译:在本文中,我们介绍了来自GeV-TeV范围内的伽马射线测量结果得出的21个银河超新星残余(SNR)的高能中微子光谱。我们发现IceCube或KM3NeT只能分别将最强的源(即北部的G40.5-0.5和南部的Vela Junior)检测为单点源。第一次,还可以通过在伽马射线发射和无线电信号之间应用观察到的相关性来得出漫射信号。格林目录中列出的234颗超新星残骸的无线电数据用于显示,与迄今已解析的源相比,总弥散中微子通量大约高2.5倍。我们显示,从星际介质中的相互作用,高于10 TeV能量的信号实际上可以变得与弥散中微子通量分量相当。最近,IceCube合作宣布检测到天体物理高能中微子的第一个扩散信号。由于统计量低,定向信息目前无法明确地揭示来源的性质。许多事件来自银河系中心附近,主要问题之一是信号的至少一部分是否具有银河系性质。在本文中,我们表明,来自良好分辨的SNR的扩散通量至少比观察到的通量低20倍。 (C)2014作者。由Elsevier B.V.发布。这是CC BY-NC-ND许可下的开放获取文章。

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