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Absence of significant cross-correlation between WMAP and SDSS

机译:WMAP和SDSS之间没有显着的互相关

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Context. Several authors have claimed to detect asignificant cross-correlation between microwave WMAP anisotropies andthe SDSS galaxy distribution. We repeat these analyses to determine thedifferent cross-correlation uncertainties caused by re-sampling errorsand field-to-field fluctuations. The first type of error concernsoverlapping sky regions, while the second type concerns non-overlappingsky regions. Aims. To measure the re-sampling errors, we use bootstrap andjack-knife techniques. For the field-to-field fluctuations, we usethree methods: 1) evaluation of the dispersion in the cross-correlationwhen correlating separated regions of WMAP with the original region ofSDSS; 2) use of mock Monte Carlo WMAP maps; 3) a new method (developedin this article), which measures the error as a function of theintegral of the product of the self-correlations for each map. Methods. The average cross-correlation for b>30degis significantly stronger than the re-sampling errors - both thejack-knife and bootstrap techniques provide similar results - but it isof the order of the field-to-field fluctuations. This is confirmed bythe cross-correlation between anisotropies and galaxies in more thanthe half of the sample being null within re-sampling errors. Results. Re-sampling methods underestimate the errors.Field-to-field fluctuations dominate the detected signals. The ratio ofsignal to re-sampling errors is larger than unity in a way thatstrongly depends on the selected sky region. We therefore conclude thatthere is no evidence yet of a significant detection of the integratedSachs-Wolfe (ISW) effect. Hence, the value of obtained by the authors who assumed they were observing the ISW effectwould appear to have originated from noise analysis. Key words: cosmic microwave background - large-scale structure of Universe
机译:上下文。一些作者声称可以检测到微波WMAP各向异性与SDSS星系分布之间的显着互相关。我们重复这些分析,以确定由重采样误差和场间波动引起的不同互相关不确定性。第一种类型的错误涉及重叠的天空区域,而第二种类型的错误涉及非重叠的天空区域。目的为了测量重采样错误,我们使用了引导和千斤顶刀技术。对于场间波动,我们使用三种方法:1)当将WMAP的分离区域与SDSS的原始区域相关联时,评估互相关中的色散; 2)使用模拟蒙特卡洛WMAP地图; 3)一种新方法(本文开发),该方法根据每个图的自相关乘积的积分来测量误差。方法。 b> 30deg的平均互相关明显强于重采样误差-千斤顶刀和自举技术均提供相似的结果-但其场间波动的数量级。在超过一半的样本中,各向异性和星系之间的互相关在重新采样误差内为零而得到证实。结果。重新采样的方法低估了误差,场间波动主导了检测到的信号。信号与重采样误差之比大于1,这在很大程度上取决于所选的天空区域。因此,我们得出的结论是,尚无证据表明可以有效检测到萨克斯-沃尔夫综合效应(ISW)。因此,假设他们正在观察ISW效应的作者所获得的价值似乎源自噪声分析。关键词:宇宙微波背景-宇宙的大规模结构

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