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On measuring the covariance matrix of the nonlinear power spectrum from simulations

机译:关于测量非线性功率谱的协方差矩阵   模拟

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摘要

We show how to estimate the covariance of the power spectrum of astatistically homogeneous and isotropic density field from a single periodicsimulation, by applying a set of weightings to the density field, and bymeasuring the scatter in power spectra between different weightings. Werecommend a specific set of 52 weightings containing only combinations offundamental modes, constructed to yield a minimum variance estimate of thecovariance of power. Numerical tests reveal that at nonlinear scales thevariance of power estimated by the weightings method substantially exceeds thatestimated from a simple ensemble method. We argue that the discrepancy iscaused by beat-coupling, in which products of closely spaced Fourier modescouple by nonlinear gravitational growth to the beat mode between them.Beat-coupling appears whenever nonlinear power is measured from Fourier modeswith a finite spread of wavevector, and is therefore present in the weightingsmethod but not the ensemble method. Beat-coupling inevitably affects realgalaxy surveys, whose Fourier modes have finite width. Surprisingly, thebeat-coupling contribution dominates the covariance of power at nonlinearscales, so that, counter-intuitively, it is expected that the covariance ofnonlinear power in galaxy surveys is dominated not by small scale structure,but rather by beat-coupling to the largest scales of the survey.
机译:我们展示了如何通过对密度场应用一组权重并测量不同权重之间的功率谱散布,从单个周期模拟中估计统计均质和各向同性密度场的功率谱的协方差。建议使用一组仅包含基本模态组合的52个权重,以产生幂协方差的最小方差估计。数值测试表明,在非线性尺度上,加权方法估计的幂方差大大超过了简单集成方法的估计方差。我们认为这种差异是由拍频耦合引起的,这种拍频耦合是指间隔很近的傅立叶模式的产物通过非线性重力增长耦合到它们之间的拍频模式。每当从具有有限波矢量的傅立叶模式测量非线性功率时,拍子耦合就会出现。因此存在于加权方法中,但不存在于整体方法中。节拍耦合不可避免地会影响实在的星系测量,其傅里叶模式具有有限的宽度。出乎意料的是,拍子耦合贡献在非线性尺度上主导着功率的协方差,因此,反直觉地,预计星系测量中非线性功率的协方差不是由小尺度结构决定,而是由最大尺度的拍子耦合决定。调查。

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