arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2201.11531astro-ph.CO
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再电离时期SARAS2资料的综合贝叶斯再分析

A Comprehensive Bayesian re-analysis of the SARAS2 data from the Epoch of Reionization

H. T. J. Bevins, E. de Lera Acedo, A. Fialkov, W. J. Handley, S. Singh, R. Subrahmanyan, R. Barkana

摘要:

我们提出了一个贝叶斯重新分析的天空平均21厘米的实验数据SARAS 2使用嵌套采样实现polychord,光谱平滑前景建模实现maxsmooth,详细的系统建模和快速信号仿真与globalemu。我们的分析不同于以往的SARAS 2数据分析,通过使用一个完整的贝叶斯框架和单独的建模的前景和非光滑的系统。我们使用最新的信号模型,包括莱曼- $α$和CMB加热参数的天体物理参数,如恒星形成效率,X射线加热效率,最小维里圆速度的恒星形成星系,CMB光学厚度和X射线光谱能量分布的低能截止。我们认为模型与多余的无线电背景以上的CMB产生通过无线电发射从早期星系和参数化的无线电生产效率。一个非平滑的系统被识别和建模为一个频率阻尼正弦波引入的电子和独立的天空。后者由天线的总效率调制,并且由数据略微有利。我们考虑三种不同的模型的数据中的噪声。SARAS 2对单个天体物理参数的约束非常弱,但我们确定了不利信号的类别。我们弱不赞成标准的天体物理模型与高莱曼- $α$通量和弱加热,更有信心地不赞成异国情调的模型与高莱曼- $α$通量,低X射线效率和高射电产生效率的早期星系。

英文摘要:

We present a Bayesian re-analysis of the sky-averaged 21-cm experimental data from SARAS2 using nested sampling implemented with polychord, spectrally smooth foreground modelling implemented with maxsmooth, detailed systematic modelling and rapid signal emulation with globalemu. Our analysis differs from previous analysis of the SARAS2 data through the use of a full Bayesian framework and separate modelling of the foreground and non-smooth systematics. We use the most up-to-date signal models including Lyman-$α$ and CMB heating parameterised by astrophysical parameters such as star formation efficiency, X-ray heating efficiency, minimal virial circular velocity of star forming galaxies, CMB optical depth and the low energy cutoff of the X-ray spectral energy distribution. We consider models with an excess radio background above the CMB produced via radio emission from early galaxies and parameterised by a radio production efficiency. A non-smooth systematic is identified and modelled as both a frequency damped sinusoid introduced by the electronics and separately from the sky. The latter is modulated by the total efficiency of the antenna and marginally favoured by the data. We consider three different models for the noise in the data. The SARAS2 constraints on individual astrophysical parameters are extremely weak however we identify classes of disfavoured signals. We weakly disfavour standard astrophysical models with high Lyman-$α$ fluxes and weak heating and more confidently disfavour exotic models with high Lyman-$α$ fluxes, low X-ray efficiencies and high radio production efficiencies in early galaxies.

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