论文标题
圆环的原始星际圆盘中的灰尘诱捕效率
The efficiency of dust trapping in ringed proto-planetary discs
论文作者
论文摘要
当以高分辨率成像时,许多原始星际盘在其尘埃sub-mm连续发射曲线中显示出差距和环。这些结构被广泛认为起源于气压轮廓中的局部最大值。但是,底层气体结构的特性尚不清楚。在本文中,我们提出了一种测量粉尘耦合$α/st $的方法,以及影响尘埃分布的气压凸起的宽度,采用高精度技术从发射线上提取气体旋转曲线。作为概念验证,我们将方法应用于具有突出的子结构HD163296和209的两个圆盘。我们发现,在所有情况下,气体结构都比灰尘大,证实环是压力堆。尽管将谷物与气体充分脱钩以径向浓缩,但我们发现灰尘的耦合程度相对较好($α/st \ sim 0.1 $)。因此,我们可以拒绝圆盘湍流非常低并且灰尘显着增长的情况。如果我们进一步假设灰尘尺寸是通过湍流碎片设置的,则发现$α$湍流参数的高值($α\ sim 10^{ - 2} $)。或者,如果另一个过程限制了晶粒的生长,则具有较小湍流的溶液仍然与我们的分析兼容。对于HD163296,椎间盘质量的最新测量表明,如果晶粒尺寸为1mm,则是这种情况。对尘埃谱指数的未来限制将有助于区分这两种选择。
When imaged at high-resolution, many proto-planetary discs show gaps and rings in their dust sub-mm continuum emission profile. These structures are widely considered to originate from local maxima in the gas pressure profile. The properties of the underlying gas structures are however unknown. In this paper we present a method to measure the dust-gas coupling $α/St$ and the width of the gas pressure bumps affecting the dust distribution, applying high-precision techniques to extract the gas rotation curve from emission lines data-cubes. As a proof-of-concept, we then apply the method to two discs with prominent sub-structure, HD163296 and AS 209. We find that in all cases the gas structures are larger than in the dust, confirming that the rings are pressure traps. Although the grains are sufficiently decoupled from the gas to be radially concentrated, we find that the degree of coupling of the dust is relatively good ($α/St \sim 0.1$). We can therefore reject scenarios in which the disc turbulence is very low and the dust has grown significantly. If we further assume that the dust grain sizes are set by turbulent fragmentation, we find high values of the $α$ turbulent parameter ($α\sim 10^{-2}$). Alternatively, solutions with smaller turbulence are still compatible with our analysis if another process is limiting grain growth. For HD163296, recent measurements of the disc mass suggest that this is the case if the grain size is 1mm. Future constraints on the dust spectral indices will help to discriminate between the two alternatives.