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arXiv 2107.14564astro-ph.COastro-ph.IM
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三维双谱形状依赖性的快速量化估计

A fast estimator for quantifying the shape dependence of the 3D bispectrum

Abinash Kumar Shaw, Somnath Bharadwaj, Debanjan Sarkar, Arindam Mazumdar, Sukhdeep Singh, Suman Majumdar

摘要:

双谱对三角形的大小和形状的依赖关系包含了丰富的宇宙学信息。在这里,我们考虑一个三角形参数化,使我们能够分离的大小和形状的依赖。我们已经实现了基于FFT的快速估计的三维(3D)箱平均双谱,我们证明,它使我们能够研究所有可能的形状(和大小)的三角形的双谱的变化。计算要求被示出为按比例缩放为$\sim N_{\rm g}^3~\log{N_{\rm g}^3}$,其中$N_g$是沿着体积的每一侧的网格点的数量。我们已经验证了使用非高斯场的双谱可以解析计算的估计。估计的双谱值被认为是在良好的协议($< 10 \%$偏差)与分析预测在大部分的三角形形状的参数空间。我们还介绍了线性红移空间失真,也可以分析计算的双谱的情况。在这里,估计的双谱被发现是在接近一致的分析预测的红移空间的双谱。

英文摘要:

The dependence of the bispectrum on the size and shape of the triangle contains a wealth of cosmological information. Here we consider a triangle parameterization which allows us to separate the size and shape dependence. We have implemented an FFT based fast estimator for the three dimensional (3D) bin averaged bispectrum, and we demonstrate that it allows us to study the variation of the bispectrum across triangles of all possible shapes (and also sizes). The computational requirement is shown to scale as $\sim N_{\rm g}^3~\log{N_{\rm g}^3}$ where $N_g$ is the number of grid points along each side of the volume. We have validated the estimator using a non-Gaussian field for which the bispectrum can be analytically calculated. The estimated bispectrum values are found to be in good agreement ($< 10 \%$ deviation) with the analytical predictions across much of the triangle-shape parameter space. We also introduce linear redshift space distortion, a situation where also the bispectrum can be analytically calculated. Here the estimated bispectrum is found to be in close agreement with the analytical prediction for the monopole of the redshift space bispectrum.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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