论文标题
辐射冷却速率,离子分数,分子丰度和线发射,包括自屏蔽以及局部和元层流辐射场
Radiative cooling rates, ion fractions, molecule abundances and line emissivities including self-shielding and both local and metagalactic radiation fields
论文作者
论文摘要
我们使用光谱综合代码云量表来制定气体在红移(z = 0至9),温度(log t [k] = 1至9.5)中的广泛范围的特性,金属性(log z/$ \ mathrm {z/$ \ mathrm {z} _ {\ odot} $ n _ {\ mathrm {h}} $ [$ \ mathrm {cm}^{ - 3} $] = -8至+6)。因此,这包括具有星际,环境和白术培养基特征性质的气体。气体暴露于依赖红移的UV/X射线背景,而对于自屏蔽的下温气体(即ISM气体),则添加了星际辐射场和宇宙射线。辐射场被气体和灰尘的密度和温度依赖性柱减弱。由于观察到的恒星形成定律的激励,该气柱密度还决定了星际辐射场和宇宙射线密度的强度。电离平衡,分子级分,冷却速率,线发射率和平衡温度是自s谐计算的。我们包括尘埃,宇宙射线和星际辐射场逐步研究它们的相对影响。这些公开的表是流体动力学模拟的理想选择。它们可以单独使用,也可以与非平衡网络耦合以进行一部分元素。该版本包括一个C例程,可以读取和插入表格,以及易于使用Python图形用户界面来探索表。
We use the spectral synthesis code Cloudy to tabulate the properties of gas for an extensive range in redshift (z=0 to 9), temperature (log T [K] = 1 to 9.5), metallicity (log Z/$\mathrm{Z}_{\odot}$ = -4 to +0.5, Z=0), and density (log $n_{\mathrm{H}}$ [$\mathrm{cm}^{-3}$] = -8 to +6). This therefore includes gas with properties characteristic of the interstellar, circumgalactic and intergalactic media. The gas is exposed to a redshift-dependent UV/X-ray background, while for the self-shielded lower-temperature gas (i.e. ISM gas) an interstellar radiation field and cosmic rays are added. The radiation field is attenuated by a density- and temperature-dependent column of gas and dust. Motivated by the observed star formation law, this gas column density also determines the intensity of the interstellar radiation field and the cosmic ray density. The ionization balance, molecule fractions, cooling rates, line emissivities, and equilibrium temperatures are calculated self-consistently. We include dust, cosmic rays, and the interstellar radiation field step-by-step to study their relative impact. These publicly available tables are ideal for hydrodynamical simulations. They can be used stand alone or coupled to a non-equilibrium network for a subset of elements. The release includes a C routine to read in and interpolate the tables, as well as an easy to use python graphical user interface to explore the tables.