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arXiv 0803.1857astro-ph
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Lyman-alpha森林的通量自相关和互相关。II。各向异性的宇宙流体动力学模拟

The Flux Auto- and Cross-Correlation of the Lyman-alpha Forest. II. Modelling Anisotropies with Cosmological Hydrodynamic Simulations

Andrew R. Marble, Kristoffer A. Eriksen, Chris D. Impey, Benjamin D. Oppenheimer, Romeel Dave

摘要:

实空间中莱曼α森林的各向同性提供了z > 2时宇宙几何的唯一度量。沿视线方向和横向方向的关联函数一致的角直径距离对应于正确的宇宙学模型。然而,莱曼-α森林是在红移空间中观察到的,在那里由于哈勃膨胀、体积流和热加宽而引起的扭曲引入了各向异性。类似地,摄谱仪的线扩展函数对自相关和互相关的影响不同。本文是利用类星体对观测到的莱曼α森林进行Alcock-Paczynski(AP)检验的系列文章之二,用宇宙学流体动力学模拟研究了这些各向异性和潜在系统误差的相关来源。比较了三种银河系外流的方法,发现它们对莱曼-α通量相关性只有很小的影响(使用目前流行的变动量风模型与没有风的模型相比,变化最多为7%)。提出了一种近似的解决方案,用于直接从在全分辨率下计算的零滞后互相关(在感兴趣的尺度上好到2%以内)获得对应于任意光谱分辨率的零滞后互相关。观测确定的平均通量衰减的莱曼α森林的不确定性被认为是系统误差的主要来源,但是,这是显着减少时,考虑相关比。我们描述了一个简单的方案,实现我们的结果,同时减轻系统误差,在未来的应用程序的AP测试的背景下。

英文摘要:

The isotropy of the Lyman-alpha forest in real-space uniquely provides a measurement of cosmic geometry at z > 2. The angular diameter distance for which the correlation function along the line of sight and in the transverse direction agree corresponds to the correct cosmological model. However, the Lyman-alpha forest is observed in redshift-space where distortions due to Hubble expansion, bulk flows, and thermal broadening introduce anisotropy. Similarly, a spectrograph's line spread function affects the autocorrelation and cross-correlation differently. In this the second paper of a series on using the Lyman-alpha forest observed in pairs of QSOs for a new application of the Alcock-Paczynski (AP) test, these anisotropies and related sources of potential systematic error are investigated with cosmological hydrodynamic simulations. Three prescriptions for galactic outflow were compared and found to have only a marginal effect on the Lyman-alpha flux correlation (which changed by at most 7% with use of the currently favored variable-momentum wind model vs. no winds at all). An approximate solution for obtaining the zero-lag cross-correlation corresponding to arbitrary spectral resolution directly from the zero-lag cross-correlation computed at full-resolution (good to within 2% at the scales of interest) is presented. Uncertainty in the observationally determined mean flux decrement of the Lyman-alpha forest was found to be the dominant source of systematic error; however, this is reduced significantly when considering correlation ratios. We describe a simple scheme for implementing our results, while mitigating systematic errors, in the context of a future application of the AP test.

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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