论文标题

修饰重力的参数化理论中弱透镜收敛图的高阶光谱

Higher-Order Spectra of Weak Lensing Convergence Maps in Parameterized Theories of Modified Gravity

论文作者

Munshi, D., McEwen, J. D.

论文摘要

我们计算了预计(2D)弱透镜收敛图的高阶光谱家族的低 - $ \ ell $限制。在此限制下,这些光谱是使用{\ em树级}扰动计算计算为任意顺序的。我们使用基于生成函数方法的扁平近似值和欧拉扰动结果。我们为这个家庭的低阶成员,即针对最先进的模拟全套弱透镜收敛地图的偏斜和kurt-spectra测试这些结果,并发现我们的结果非常吻合。我们还展示了如何在存在逼真的天空面罩和高斯噪声的情况下计算这些光谱。我们将这些结果推广到三维(3D),并计算{\ em等级}高阶光谱。这些结果对于分析未来全套弱透镜调查的高阶统计数据(例如{\ em euclid}调查)在低 - $ \ ell $模式下将是有价值的。作为说明性示例,我们在{\ em horndeski}和{\ em horndeski}的{\ em之外的修改性重力理论中计算这些统计数据。它们将在限制理论(例如Gleyzes-langlois-Piazza-ventizzi(GLPV)理论和退化高阶标量(DHOST)理论以及常规使用的DVALI-GABADADZE-PORRATI(NDGP)模型的常规分支,聚集在quintsectence模型和场景的情况下,它们将特别有用。

We compute the low-$\ell$ limit of the family of higher-order spectra for projected (2D) weak lensing convergence maps. In this limit, these spectra are computed to an arbitrary order using {\em tree-level} perturbative calculations. We use the flat-sky approximation and Eulerian perturbative results based on a generating function approach. We test these results for the lower-order members of this family, i.e. the skew- and kurt-spectra against state-of-the-art simulated all-sky weak lensing convergence maps and find our results to be in very good agreement. We also show how these spectra can be computed in the presence of a realistic sky-mask and Gaussian noise. We generalize these results to three-dimensions (3D) and compute the {\em equal-time} higher-order spectra. These results will be valuable in analyzing higher-order statistics from future all-sky weak lensing surveys such as the {\em Euclid} survey at low-$\ell$ modes. As illustrative examples, we compute these statistics in the context of the {\em Horndeski} and {\em Beyond Horndeski} theories of modified gravity. They will be especially useful in constraining theories such as the Gleyzes-Langlois-Piazza-Vernizzi (GLPV) theories and Degenerate Higher-Order Scalar-Tensor (DHOST) theories as well as the commonly used normal-branch of Dvali-Gabadadze-Porrati (nDGP) model, clustering quintessence models, and scenarios with massive neutrinos.

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