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arXiv 1207.6322astro-ph.CO
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弱透镜功率谱和双谱的信息量:包括非高斯误差协方差矩阵

Information content of weak lensing power spectrum and bispectrum: including the non-Gaussian error covariance matrix

Issha Kayo, Masahiro Takada, Bhuvnesh Jain

摘要:

我们解决的信息量在非高斯制度的弱透镜调查建模的功率谱和双谱的所有相关协方差,使用1000射线跟踪模拟实现的λ-CDM模型和分析晕模型。我们发展了一种形式化的描述所有三角形配置的功率谱和双谱的协方差矩阵。除了已知的贡献,扩展到六点关联函数,我们提出了一个新的贡献“晕样本方差(HSV)”所产生的耦合透镜傅立叶模式与大规模的质量波动的规模可比的调查区域通过晕偏置理论。我们表明,一旦我们考虑到HSV的模型预测是在良好的协议与模拟。在多极子l > 10^3时,HSV对协方差矩阵的贡献占主导地位,这是由质量大于10^14太阳质量且相对较低红移z < 0.4的大质量晕产生的。由于这种晕圈很容易从多色成像测量中识别出来,因此可以从数据中估计其影响。通过在功率谱中加入双谱,总的信息量或累积信噪比可提高20%~ 50%,最高可达10^3的某个最大多极,这相当于仅用功率谱测量就可将测量面积扩大1.4--2.3倍。然而,它仍然比高斯场的情况小3倍,主要是由于HSV。因此,双谱测量对宇宙学是有用的,但使用即将到来的调查的信息需要仔细估计非高斯协方差。

英文摘要:

We address the amount of information in the non-Gaussian regime of weak lensing surveys by modelling all relevant covariances of the power spectra and bispectra, using 1000 ray-tracing simulation realizations for a Lambda-CDM model and an analytical halo model. We develop a formalism to describe the covariance matrices of power spectra and bispectra of all triangle configurations. In addition to the known contributions which extend up to six-point correlation functions, we propose a new contribution `the halo sample variance (HSV)' arising from the coupling of the lensing Fourier modes with large-scale mass fluctuations on scales comparable with the survey region via halo bias theory. We show that the model predictions are in good agreement with the simulation once we take the HSV into account. The HSV gives a dominant contribution to the covariance matrices at multipoles l > 10^3, which arises from massive haloes with a mass of > 10^14 solar mass and at relatively low redshifts z < 0.4. Since such haloes are easily identified from a multi-colour imaging survey, the effect can be estimated from the data. By adding the bispectrum to the power spectrum, the total information content or the cumulative signal-to-noise ratio up to a certain maximum multipole of a few 10^3 is improved by 20--50 per cent, which is equivalent to a factor of 1.4--2.3 larger survey area for the power spectrum measurement alone. However, it is still smaller than the case of a Gaussian field by a factor of 3 mostly due to the HSV. Thus bispectrum measurements are useful for cosmology, but using information from upcoming surveys requires that non-Gaussian covariances are carefully estimated.

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