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arXiv 1507.03563astro-ph.HE
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第一个Fermi-LAT SNR星表的系统表征区域

Systematically characterizing regions of the First Fermi-LAT SNR Catalog

F. de Palma, T. J. Brandt, J. W. Hewitt, G. Johannesson, L. Tibaldo

摘要:

虽然超新星遗迹(SNRs)被广泛认为是强大的宇宙射线加速器,但间接证据来自少数经过充分研究的案例。在这里,我们系统地确定费米大面积望远镜(LAT)从所有已知的银河系SNR检测到的伽马射线发射,将它们从银河系平面中宇宙射线产生的光子的海洋中分离出来。使用LAT数据,我们的特点是1-100 GeV的排放在279个地区含有信噪比,占系统的不确定性所造成的源混淆和仪器响应。我们还开发了一种方法来探索一些系统的影响SNR性能所造成的星际发射(IEM)的建模。IEM对SNR所在区域的伽马射线发射有很大贡献。为了探索系统性,我们考虑不同的模型构造方法,不同的模型输入参数,并独立地将模型组件拟合到伽马射线数据。我们将详细描述这种分析方法。在第一费米LAT SNR目录中,使用与无线电位置的空间重叠,有30个源被分类为SNR。对于所有剩余的区域,我们评估了SNR排放的上限。在这项工作中,我们将提出一项研究的总特征的信噪比,如GeV和无线电的大小以及通量和光谱指数和TeV之间的比较。

英文摘要:

While supernova remnants (SNRs) are widely thought to be powerful cosmic-ray accelerators, indirect evidence comes from a small number of well-studied cases. Here we systematically determine the gamma-ray emission detected by the Fermi Large Area Telescope (LAT) from all known Galactic SNRs, disentangling them from the sea of cosmic-ray generated photons in the Galactic plane. Using LAT data we have characterized the 1-100 GeV emission in 279 regions containing SNRs, accounting for systematic uncertainties caused by source confusion and instrumental response. We have also developed a method to explore some systematic effects on SNR properties caused by the modeling of the interstellar emission (IEM). The IEM contributes substantially to gamma-ray emission in the regions where SNRs are located. To explore the systematics we consider different model construction methods, different model input parameters, and independently fit the model components to the gamma-ray data. We will describe this analysis method in detail. In the First Fermi LAT SNR Catalog there are 30 sources classified as SNRs, using spatial overlap with the radio position. For all the remaining regions we evaluated upper limits on SNRs' emission. In this work we will present a study of the aggregate characteristics of SNRs, such as comparisons between GeV and radio sizes as well as fluxes and spectral indexes and with TeV.

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