arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2105.08027astro-ph.CO
收藏

弱透镜质量模拟偏差和偏心的影响

Weak lensing mass modeling bias and the impact of miscentring

Martin W. Sommer, Tim Schrabback, Douglas E. Applegate, Stefan Hilbert, Behzad Ansarinejad, Benjamin Floyd, Sebastian Grandis

摘要:

弱透镜观测的星系团密度分布的参数化建模导致了质量偏差,其详细的理解是至关重要的,在推导出精确的质量可观测的约束宇宙学模型的关系。借鉴现有的方法,我们开发了一个强大的框架来计算这种质量偏差在一个参数适合模拟的暗物质晕。我们表明,我们的方法具有的优势是独立的绝对噪声水平,因此,只有在一个给定的模拟和真实集群的模拟晕的代表性的晕的数量限制的偏差估计的准确性。虽然我们模拟的偏差为对数正态分布和晕Navarro-Frenk-White的配置文件,我们的方法可以推广到任何偏差分布和参数模型的径向质量分布。我们发现,对数正态假设是不严格有效的存在偏心的晕。我们调查使用的集群中心来自弱透镜的背景下的质量偏差,并初步发现,这样的质心可以产生合理的质量估计,如果收敛峰的信噪比约大于4。在这种情况下,我们还发现,标准的方法来估计弱透镜质量峰的位置不确定性,使用自举严重低估了真正的位置不确定性与低信噪比的峰值。虽然我们确定的质量和红移依赖的偏置分布的一些实验设置,我们的重点仍然是提供一个通用的方法来计算这样的分布。

英文摘要:

Parametric modeling of galaxy cluster density profiles from weak lensing observations leads to a mass bias, whose detailed understanding is critical in deriving accurate mass-observable relations for constraining cosmological models. Drawing from existing methods, we develop a robust framework for calculating this mass bias in one-parameter fits to simulations of dark matter halos. We show that our approach has the advantage of being independent of the absolute noise level, so that only the number of halos in a given simulation and the representativeness of the simulated halos for real clusters limit the accuracy of the bias estimation. While we model the bias as a log-normal distribution and the halos with a Navarro-Frenk-White profile, our method can be generalized to any bias distribution and parametric model of the radial mass distribution. We find that the log-normal assumption is not strictly valid in the presence of miscentring of halos. We investigate the use of cluster centers derived from weak lensing in the context of mass bias, and tentatively find that such centroids can yield sensible mass estimates if the convergence peak has a signal-to-noise ratio approximately greater than four. In this context we also find that the standard approach to estimating the positional uncertainty of weak lensing mass peaks using bootstrapping severely underestimates the true positional uncertainty for peaks with low signal-to-noise ratios. Though we determine the mass and redshift dependence of the bias distribution for a few experimental setups, our focus remains providing a general approach to computing such distributions.

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。

↑