论文标题
HI强度映射实验的功率谱系扩展:无偏参数估计
Power spectrum multipole expansion for HI intensity mapping experiments: unbiased parameter estimation
论文作者
论文摘要
在单次HI强度映射的情况下,我们评估了多极扩展形式主义的性能,包括仪器和前景去除效果。这种形式主义用于为HI和宇宙学参数提供MCMC预测,包括红移空间扭曲和Alcock-Paczynski效应。我们首先通过拟合模拟数据,集中于单极,四极杆和六边形贡献来确定功率谱建模的有效性范围。然后,我们表明,前景减法效应可能导致宇宙学参数的确定,特别是与横向BAO缩放有关的参数,增长率和HI偏见($α_\ perp $,$ \ perp $,$ \ edimelline {t} _ \ text {hi} ftext {hi}fσ_8$,和$ \ operline和$ \ yprine} b_ \ text {hi}σ_8$)。我们试图通过构建2参数前景建模处方来解决这些偏见,并发现我们的处方会导致无偏见的参数估计,而牺牲了增加宇宙学参数的估计不确定性。此外,我们确认仪器和前景的去除效应显着影响理论协方差矩阵,并导致不同多物之间的协方差变得不可忽略。最后,我们展示了在分析中包括高阶多物的效果,以及如何使用它们来研究HI强度映射数据中仪器和系统效应的存在。
We assess the performance of the multipole expansion formalism in the case of single-dish HI intensity mapping, including instrumental and foreground removal effects. This formalism is used to provide MCMC forecasts for a range of HI and cosmological parameters, including redshift space distortions and the Alcock-Paczynski effect. We first determine the range of validity of our power spectrum modelling by fitting to simulation data, concentrating on the monopole, quadrupole, and hexadecapole contributions. We then show that foreground subtraction effects can lead to severe biases in the determination of cosmological parameters, in particular the parameters relating to the transverse BAO rescaling, the growth rate and the HI bias ($α_\perp$, $\overline{T}_\text{HI} fσ_8$, and $\overline{T}_\text{HI} b_\text{HI} σ_8$, respectively). We attempt to account for these biases by constructing a 2-parameter foreground modelling prescription, and find that our prescription leads to unbiased parameter estimation at the expense of increasing the estimated uncertainties on cosmological parameters. In addition, we confirm that instrumental and foreground removal effects significantly impact the theoretical covariance matrix, and cause the covariance between different multipoles to become non-negligible. Finally, we show the effect of including higher-order multipoles in our analysis, and how these can be used to investigate the presence of instrumental and systematic effects in HI intensity mapping data.