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arXiv 1707.02073astro-ph.CO
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21 SSD:来自再电离时期的模拟21 cm信号的公共数据库

21SSD: a public database of simulated 21-cm signals from the epoch of reionization

Benoit Semelin, Evan Eames, Florian Bolgar, Michel Caillat

摘要:

来自再电离时代(EoR)的21厘米信号预计将在未来几年内通过现有仪器或即将到来的SKA和HERA项目进行检测。在这方面,迫切需要公开提供涵盖各种可能信号的高质量模板。这些都是未来仪器的端到端仿真以及开发信号分析方法所必需的。在这项工作中,我们提出了这样一组模板,公开提供,可在https://21ssd.obspm.fr/下载。该数据库包含21厘米的亮度温度lightcones在高和低分辨率,和几个派生的统计量为45个模型跨越我们选择的三维参数空间。这些数据是与LICORICE代码进行的完全耦合的辐射流体动力学高分辨率($1024^3$)模拟的结果。X射线和莱曼线转移进行考虑加热和Wouthuysen场耦合波动。我们还提出了第一次利用的数据使用的功率谱和像素分布函数(PDF)的红移的函数,计算从光锥数据。我们分析了这两个数量的行为时,考虑到一个典型的SKA调查的热噪声的模型参数变化。最后,我们表明,功率谱和PDF有不同的-在一定程度上互补-区分不同模型的能力。这打开了大门,制定一个最佳的采样参数空间,取决于所选择的诊断。

英文摘要:

The 21-cm signal from the Epoch of Reionization (EoR) is expected to be detected in the next few years, either with existing instruments or by the upcoming SKA and HERA projects. In this context there is a pressing need for publicly available high-quality templates covering a wide range of possible signals. These are needed both for end-to-end simulations of the up-coming instruments, as well as to develop signal analysis methods. In this work we present such a set of templates, publicly available, for download at https://21ssd.obspm.fr/. The database contains 21-cm brightness temperature lightcones at high and low resolution, and several derived statistical quantities for 45 models spanning our choice of 3D parameter space. These data are the result of fully coupled radiative hydrodynamic high resolution ($1024^3$) simulations performed with the LICORICE code. Both X-ray and Lyman line transfer is performed to account for heating and Wouthuysen-Field coupling fluctuations. We also present a first exploitation of the data using the power spectrum and the Pixel Distribution Function (PDF) as functions of redshifts, computed from lightcone data. We analyse how these two quantities behave when varying the model parameters while taking into account the thermal noise expected of a typical SKA survey. Finally, we show that the power spectrum and the PDF have different -- and to some extent complementary -- abilities to distinguish between different models. This opens the door to formulating an optimal sampling of the parameter space, dependant on the chosen diagnostics.

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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