κTNG：重子过程对 IllustrisTNG 模拟的弱透镜效应的影响,Monthly Notices of the Royal Astronomical Society

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κTNG：重子过程对 IllustrisTNG 模拟的弱透镜效应的影响
Monthly Notices of the Royal Astronomical Society ( IF 4.8 ) Pub Date : 2021-02-10 , DOI: 10.1093/mnras/stab395
Ken Osato ₁ , Jia Liu _{2,

3} , Zoltán Haiman ₄

Affiliation

我们基于宇宙学流体动力学模拟 IllustrisTNG，使用一套模拟 WL 地图 κTNG 研究重子过程对弱透镜 (WL) 可观测物的影响。我们量化了重子对 WL 角功率谱、单点概率分布函数 (PDF) 以及峰值和最小值的计数的影响。我们还展示了效应的红移演化，这是区分重子效应与暗能量、暗物质和大质量中微子等基础物理学的关键。我们发现重子过程降低了小尺度功率，抑制了 PDF 的尾部、峰值和最小计数，并改变了峰值和最小值的总数。我们将我们的结果与现有的半解析模型和流体动力学模拟进行比较，并讨论差异的来源。κTNG 套件包括 10 000 个 $5 \times 5 \、\mathrm{deg}^2$ 映射，用于 40 个源红移高达 zs = 2.6，很好地涵盖了现有和即将进行的 WL 调查的兴趣范围。我们还制作了 κTNG-Dark 地图套件，该套件基于相应的仅暗物质 IllustrisTNG 模拟生成。我们的模拟图不仅适用于开发包含重子效应的分析模型，而且对于依赖于质量图的研究特别有用，例如非高斯统计和使用卷积神经网络的机器学习。这套模拟地图可在 Columbia Lensing (http://columbialensing.org) 上公开获得。我们还制作了 κTNG-Dark 地图套件，该套件基于相应的仅暗物质 IllustrisTNG 模拟生成。我们的模拟图不仅适用于开发包含重子效应的分析模型，而且对于依赖于质量图的研究特别有用，例如非高斯统计和使用卷积神经网络的机器学习。这套模拟地图可在 Columbia Lensing (http://columbialensing.org) 上公开获得。我们还制作了 κTNG-Dark 地图套件，该套件基于相应的仅暗物质 IllustrisTNG 模拟生成。我们的模拟图不仅适用于开发包含重子效应的分析模型，而且对于依赖于质量图的研究特别有用，例如非高斯统计和使用卷积神经网络的机器学习。这套模拟地图可在 Columbia Lensing (http://columbialensing.org) 上公开获得。

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κTNG: effect of baryonic processes on weak lensing with IllustrisTNG simulations

We study the effect of baryonic processes on weak lensing (WL) observables with a suite of mock WL maps, the κTNG, based on the cosmological hydrodynamic simulations IllustrisTNG. We quantify the baryonic effects on the WL angular power spectrum, one-point probability distribution function (PDF), and number counts of peaks and minima. We also show the redshift evolution of the effects, which is a key to distinguish the effect of baryons from fundamental physics such as dark energy, dark matter, and massive neutrinos. We find that baryonic processes reduce the small-scale power, suppress the tails of the PDF, peak and minimum counts, and change the total number of peaks and minima. We compare our results to existing semi-analytical models and hydrodynamic simulations, and discuss the source of discrepancies. The κTNG suite includes 10 000 realizations of $5 \times 5 \, \mathrm{deg}^2$ maps for 40 source redshifts up to zs = 2.6, well covering the range of interest for existing and upcoming WL surveys. We also produce the κTNG-Dark suite of maps, generated based on the corresponding dark matter-only IllustrisTNG simulations. Our mock maps are not only suitable for developing analytical models that incorporate the effect of baryons, but also particularly useful for studies that rely on mass maps, such as non-Gaussian statistics and machine learning with convolutional neural networks. The suite of mock maps is publicly available at Columbia Lensing (http://columbialensing.org).

更新日期：2021-02-10

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