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北美退伍军人节(Veterans Day),12 日无更新
arXiv 2005.00009astro-ph.CO
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弱透镜关联的流体动力学晕模型

A hydrodynamical halo model for weak-lensing cross correlations

A. J. Mead, T. Tröster, C. Heymans, L. Van Waerbeke, I. G. McCarthy

摘要:

在星系晕的尺度上,物质在宇宙中的分布受到高能的非引力过程的影响;所谓的重子反馈。缺乏关于反馈过程如何重新分配物质的细节的知识是弱透镜测量的不确定性来源,弱透镜测量可以准确地探测宇宙中物质在广泛尺度上的聚集。我们开发了一个宇宙学相关的模型的物质分布,同时占集群的暗物质,气体和恒星。我们通知我们的模型,通过比较它从BAHAMAS套件的流体动力学模拟测量的功率谱。除了考虑物质功率谱之外,我们还考虑涉及电子压力场的谱,这与热苏尼亚耶夫-泽尔多维奇(tSZ)效应直接相关。我们在我们的模型中拟合参数,以便它可以同时模拟物质和压力数据,并使从tSZ推断的气体分布对我们的模型预测的物质谱产生影响。我们提出了两种变体;一个匹配的反馈引起的抑制中看到的物质-物质功率谱在百分之一的水平和第二个匹配的物质-物质的数据稍微不太好(~ 2%),但能够同时建模的物质-电子压力谱在~ 15%的水平。我们设想我们的模型被用来同时了解宇宙学参数和重子反馈的强度,结合使用的tSZ和透镜的自相关和互相关数据。

英文摘要:

On the scale of galactic haloes, the distribution of matter in the cosmos is affected by energetic, non-gravitational processes; so-called baryonic feedback. A lack of knowledge about the details of how feedback processes redistribute matter is a source of uncertainty for weak-lensing surveys, which accurately probe the clustering of matter in the Universe over a wide range of scales. We develop a cosmology-dependent model for the matter distribution that simultaneously accounts for the clustering of dark matter, gas and stars. We inform our model by comparing it to power spectra measured from the BAHAMAS suite of hydrodynamical simulations. As well as considering matter power spectra, we also consider spectra involving the electron-pressure field, which directly relates to the thermal Sunyaev-Zel'dovich (tSZ) effect. We fit parameters in our model so that it can simultaneously model both matter and pressure data and such that the distribution of gas as inferred from tSZ has influence on the matter spectrum predicted by our model. We present two variants; one that matches the feedback-induced suppression seen in the matter-matter power spectrum at the per-cent level and a second that matches the matter-matter data slightly less well (~2 per cent), but that is able to simultaneously model the matter-electron pressure spectrum at the ~15 per-cent level. We envisage our models being used to simultaneously learn about cosmological parameters and the strength of baryonic feedback using a combination of tSZ and lensing auto- and cross-correlation data.

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