On the ISW-cluster cross-correlation in future surveys
On the ISW-cluster cross-correlation in future surveys
复制标题
关于未来调查中的 ISW 集群互相关
DOI：
10.1093/mnras/sty2795
复制
发表时间：
2017
影响因子：
4.8
通讯作者：
L. Valenziano
中科院分区：
文献类型：
--
作者：
M. Ballardini;D. Paoletti;F. Finelli;L. Moscardini;B. Sartoris;L. Valenziano
我们研究了宇宙微波背景(CMB)各向异性模式的积分Sachs-Wolfe(ISW)与未来广泛调查的星系团之间的互相关所包含的宇宙学信息。未来的调查将通过与CMB各向异性模式的相互关联，为星系表提供一些可与目前用于探测ISW信号的星系表相媲美的天体。通过计算星团的角功率谱和与CMB的互相关，我们按照eROSITA和欧几里德空间任务的预期，对ISW检测进行了信噪比(SNR)分析。我们讨论了星系团互相关的信噪比与星表的规格和参考宇宙学的关系。我们预测，ISW星系团相互关联的信噪比比从未来的星系调查中可以获得的信噪比要小得多，但预计信号将被以高意义探测到，即超过$>；3，\sigma$。我们还结合CMB和ISW-团簇互相关，预测了协和模型扩展参数的联合约束。
We investigate the cosmological information contained in the cross-correlation between the Integrated Sachs-Wolfe (ISW) of the Cosmic Microwave Background (CMB) anisotropy pattern and galaxy clusters from future wide surveys. Future surveys will provide cluster catalogues with a number of objects comparable with galaxy catalogues currently used for the detection of the ISW signal by cross-correlation with the CMB anisotropy pattern. By computing the angular power spectra of clusters and the corresponding cross-correlation with CMB, we perform a signal-to-noise ratio (SNR) analysis for the ISW detection as expected from the eROSITA and the Euclid space missions. We discuss the dependence of the SNR of the ISW-cluster cross-correlation on the specifications of the catalogues and on the reference cosmology. We forecast that the SNRs for ISW-cluster cross-correlation are alightly smaller compared to those which can be obtained from future galaxy surveys but the signal is expected to be detected at high significance, i.e. more than $> 3\,\sigma$. We also forecast the joint constraints on parameters of model extensions of the concordance $\Lambda$CDM cosmology by combining CMB and the ISW-cluster cross-correlation.
DOI：
10.1111/j.1365-2966.2012.20443.x
发表时间：
2011-11
影响因子：
4.8
作者：
A. Pillepich;C. Porciani;T. Reiprich
通讯作者：
A. Pillepich;C. Porciani;T. Reiprich
DOI：
10.17863/cam.43425
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Aghanim N
通讯作者：
Aghanim N