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arXiv 2011.14383astro-ph.HEastro-ph.GAphysics.comp-phphysics.data-anstat.AP
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根据天体测量数据对SNR RX J1713 .7-3946区域尘埃的光学重建

Optical reconstruction of dust in the region of SNR RX J1713.7-3946 from astrometric data

Reimar Leike, Silvia Celli, Alberto Krone-Martins, Celine Boehm, Martin Glatzle, Yasou Fukui, Hidetoshi Sano, Gavin Rowell

摘要:

在超新星遗迹RX J1713.7-3946(最明亮的TeV发射体之一)区域观察到的辐射起源自发现以来一直存在争议。在这个对象中的原子和分子云的存在支持的想法,部分GeV的伽马射线在该地区起源于质子-质子碰撞。然而,从气体观测得到的质子柱密度不能解释整个发射。然而,到目前为止,在较暗的结构中可能含有一小部分质子。在这里,我们使用消光原理和ESA/Gaia DR 2天体测量和光度数据搜索RX J1713.7-3946视线内的微弱物体。我们发现并精确定位了一些尘埃云,并注意到只有一个似乎是在RX J1713.7-3946附近。我们估计嵌入的质量为$M_{dust} = (7.0 \pm 0.6) \times 10^3 \, M_{\odot}$,它可能大到足以包含丢失的质子。最后,利用超新星遗迹预计将位于尘埃环境中,并且在RX J1713.7-3946附近似乎只有一个这样的结构,我们对超新星遗迹的距离设置了一个非常精确的限制,即($1.12 \pm 0.01$)kpc。

英文摘要:

The origin of the radiation observed in the region of the supernova remnant RX J1713.7-3946, one of the brightest TeV emitters, has been debated since its discovery. The existence of atomic and molecular clouds in this object supports the idea that part of the GeV gamma rays in this region originate from proton-proton collisions. However, the observed column density of protons derived from gas observations cannot explain the whole emission. Yet there could be a fraction of protons contained in fainter structures that have note been detected so far. Here we search for faint objects in the line of sight of RX J1713.7-3946 using the principle of light extinction and the ESA/Gaia DR2 astrometric and photometric data. We reveal and locate with precision a number of dust clouds and note that only one appears to be in the vicinity of RX J1713.7-3946. We estimate the embedded mass to $M_{dust} = (7.0 \pm 0.6) \times 10^3 \, M_{\odot}$ which might be big enough to contain the missing protons. Finally, using the fact that the supernova remnant is expected to be located in a dusty environment and that there appears to be only one such structure in the vicinity of RX J1713.7-3946, we set a very precise constrain to the supernova remnant distance, at ($1.12 \pm 0.01$) kpc.

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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