arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1607.07628astro-ph.COastro-ph.IM
收藏

前景存在时再电离功率谱的污染

Contamination of the Epoch of Reionization power spectrum in the presence of foregrounds

Peter H. Sims, Lindley Lentati, Paul Alexander, Chris L. Carilli

摘要:

我们构建前景模拟包括空间相关的河外和弥漫的银河系的发射组件和计算的“内在”(无仪器)的二维空间功率谱和圆柱形和球形平均的三维k-空间功率谱的时代的再电离(EoR)和我们的前景模拟使用贝叶斯功率谱估计框架。这导致我们确定一个模型相关的区域的最佳信号估计为我们的前景和EoR模型,在EoR信号相对于前景的空间功率最大化。我们确定了一个目标字段相关的区域,在k空间中,在低k_perp和k_parallel的固有前景功率谱污染和过渡到一个相对前景自由的固有EoR窗口在该区域的补充。k空间的污染区域表明,同时估计EoR和前景对于获得EoR功率谱的统计稳健估计是重要的;从忽略其协方差的方法中将获得有偏结果。使用模拟观测与频率相关的紫外线覆盖和主波束,与前者来自HERA在37天线和331天线配置,我们恢复仪器功率谱与其内在的对应。我们讨论了这些结果的影响,最佳策略的无偏估计的EoR功率谱。

英文摘要:

We construct foreground simulations comprising spatially correlated extragalactic and diffuse Galactic emission components and calculate the `intrinsic' (instrument-free) two-dimensional spatial power spectrum and the cylindrically and spherically averaged three-dimensional k-space power spectra of the Epoch of Reionization (EoR) and our foreground simulations using a Bayesian power spectral estimation framework. This leads us to identify a model dependent region of optimal signal estimation for our foreground and EoR models, within which the spatial power in the EoR signal relative to foregrounds is maximised. We identify a target field dependent region, in k-space, of intrinsic foreground power spectral contamination at low k_perp and k_parallel and a transition to a relatively foreground-free intrinsic EoR window in the complement to this region. The contaminated region of k-space demonstrates that simultaneous estimation of the EoR and foregrounds is important for obtaining statistically robust estimates of the EoR power spectrum; biased results will be obtained from methodologies that ignore their covariance. Using simulated observations with frequency dependent uv-coverage and primary beam, with the former derived for HERA in 37-antenna and 331-antenna configuration, we recover instrumental power spectra consistent with their intrinsic counterparts. We discuss the implications of these results for optimal strategies for unbiased estimation of the EoR power spectrum.

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。

↑