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arXiv 1801.02671astro-ph.CO
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吸收体模型:莱曼α森林的类晕模型

Absorber Model: the Halo-like model for the Lyman-alpha forest

Vid Iršič, Matthew McQuinn

摘要:

我们提出了一个半解析模型的莱曼- $α$森林的启发晕模型。该模型建立在森林吸收线分解的基础上。通量相关性被分解为每个吸收线(1-吸收体项)和单独的线(2-吸收体项)之间的那些,治疗线作为偏置示踪剂的底层物质波动。虽然光学深度和通量之间的非线性指数映射需要一个无限系列的时刻来计算任何统计,我们表明,这一系列可以恢复(截断在所需的线性物质密度)。我们专注于$z=2-3$视线功率谱。我们的模型发现,1-吸收项占主导地位的权力在所有尺度上,其大部分贡献来自HI列的$10^{14}-10^{15}\;\mathrm{cm^{-2}}$,而较小的2-吸收的贡献来自较低的列,跟踪超密度的几个。1-吸收体相关性的显著性表明,视线功率谱主要由线的数量密度和它们的吸收轮廓形成,线之间的相关性在较小程度上起作用。我们提出了直观的公式的有效光学深度以及大规模的限制1-吸收体和2-吸收体的条款,简化为积分的HI柱密度分布与不同的等效宽度的权重。最低限度的吸收系统的偏见和他们特有的速度加宽模型,我们的模型预测的密度偏差和速度梯度偏差的值是一致的模拟中发现的。

英文摘要:

We present a semi-analytic model for the Lyman-$α$ forest that is inspired by the Halo Model. This model is built on the absorption line decomposition of the forest. Flux correlations are decomposed into those within each absorption line (the 1-absorber term) and those between separate lines (the 2-absorber term), treating the lines as biased tracers of the underlying matter fluctuations. While the nonlinear exponential mapping between optical depth and flux requires an infinite series of moments to calculate any statistic, we show that this series can be resumed (truncating at the desired order in the linear matter overdensity). We focus on the $z=2-3$ line-of-sight power spectrum. Our model finds that 1-absorber term dominates the power on all scales, with most of its contribution coming from HI columns of $10^{14}-10^{15}\;\mathrm{cm^{-2}}$, while the smaller 2-absorber contribution comes from lower columns that trace overdensities of a few. The prominence of the 1-absorber correlations indicates that the line-of-sight power spectrum is shaped principally by the lines' number densities and their absorption profiles, with correlations between lines contributing to a lesser extent. We present intuitive formulae for the effective optical depth as well as the large-scale limits of 1-absorber and 2-absorber terms, which simplify to integrals over the HI column density distribution with different equivalent-width weightings. With minimalist models for the bias of absorption systems and their peculiar velocity broadening, our model predicts values for the density bias and velocity gradient bias that are consistent with those found in simulations.

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