arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1005.0847astro-ph.CO
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具有宇宙微波背景极化的星团-质量互相关的透镜重建

Lensing reconstruction of cluster-mass cross-correlation with cosmic microwave background polarization

Jaiyul Yoo, Matias Zaldarriaga, Lars Hernquist

摘要:

我们扩展了我们的极大似然法重建集群质量互相关从宇宙微波背景(CMB)温度各向异性和开发新的估计,利用六个不同的二次组合的CMB温度和极化场。我们的极大似然估计构造与delensed CMB温度和偏振场通过使用一个假设的模型的收敛场,他们可以迭代地应用到一组集群,接近透镜重建的最佳条件作为假设的初始模型是细化。使用平滑粒子流体动力学模拟,我们创建一个目录的现实集群可从目前的Sunyaev Zel 'dovich(SZ)的调查,我们证明了能力的极大似然估计重建集群质量互相关的大规模集群。iTT温度估计器提供的信噪比比iEB偏振估计器大3倍,除非用于测量偏振各向异性的检测器噪声被控制在3微K以下。

英文摘要:

We extend our maximum likelihood method for reconstructing the cluster-mass cross-correlation from cosmic microwave background (CMB) temperature anisotropies and develop new estimators that utilize six different quadratic combinations of CMB temperature and polarization fields. Our maximum likelihood estimators are constructed with delensed CMB temperature and polarization fields by using an assumed model of the convergence field and they can be iteratively applied to a set of clusters, approaching to the optimal condition for the lensing reconstruction as the assumed initial model is refined. Using smoothed particle hydrodynamics simulations, we create a catalog of realistic clusters obtainable from the current Sunyaev-Zel'dovich (SZ) surveys, and we demonstrate the ability of the maximum likelihood estimators to reconstruct the cluster-mass cross-correlation from the massive clusters. The iTT temperature estimator provides a signal-to-noise ratio of a factor 3 larger than the iEB polarization estimator, unless the detector noise for measuring polarization anisotropies is controlled under 3 microK.

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