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arXiv 1002.3408astro-ph.CO
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非均匀宇宙中的平均光度距离

Average luminosity distance in inhomogeneous universes

Valentin Kostov

摘要:

利用数值射线追踪方法,研究了非均匀宇宙中的平均距离模与均匀宇宙中的平均距离模的差异。平均是从一个固定的观察者的所有方向,而不是所有可能的观察者(宇宙),因此它更直接适用于我们的观察。与以前的研究不同,平均是精确的,非扰动的,包括所有可能的非线性效应。不均匀的宇宙由包含随机和简单的立方晶格的质量补偿空隙的Sweese-cheese模型表示。地球观测者处于具有爱因斯坦-德西特度规的均匀奶酪中.第一次,平均扩大到包括超新星内部的空隙,假设从任何共动体积的超新星发射的概率是成比例的静止mass在it. Despite众所周知的参数光子通量守恒,平均距离模量校正在低红移是不为零,由于奇特的速度。导出了最大可能平均修正与红移的关系式,并与数值计算结果吻合得很好。在随机和简单的立方空隙晶格中计算的实际平均校正严重阻尼低于预测的最大平均值。这可以追溯到来自观察者的相同红移的不同空洞的正面和背面的校正之间的抵消。在低红移的计算校正允许一个容易地预测的红移,在哈勃图中的平均波动低于所需的精度,并建议一种方法来提取背景哈勃常数从低红移数据,而不需要特殊的速度校正。

英文摘要:

Using numerical ray tracing, the paper studies how the average distance modulus in an inhomogeneous universe differs from its homogeneous counterpart. The averaging is over all directions from a fixed observer not over all possible observers (cosmic), thus it is more directly applicable to our observations. Unlike previous studies, the averaging is exact, non-perturbative, and includes all possible non-linear effects. The inhomogeneous universes are represented by Sweese-cheese models containing random and simple cubic lattices of mass-compensated voids. The Earth observer is in the homogeneous cheese which has an Einstein - de Sitter metric. For the first time, the averaging is widened to include the supernovas inside the voids by assuming the probability for supernova emission from any comoving volume is proportional to the rest mass in it. Despite the well known argument for photon flux conservation, the average distance modulus correction at low redshifts is not zero due to the peculiar velocities. A formula for the maximum possible average correction as a function of redshift is derived and shown to be in excellent agreement with the numerical results. The actual average correction calculated in random and simple cubic void lattices is severely damped below the predicted maximal average. That is traced to cancelations between the corrections coming from the fronts and backs of different voids at the same redshift from the observer. The calculated correction at low redshifts allows one to readily predict the redshift at which the averaged fluctuation in the Hubble diagram is below a required precision and suggests a method to extract the background Hubble constant from low redshift data without the need to correct for peculiar velocities.

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