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Characterizing Signal Loss in the 21 cm Reionization Power Spectrum: A Revised Study of PAPER-64

机译:在21 cm电离功率谱中表征信号损失:PAPER-64的修订研究

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The Epoch of Reionization (EoR) is an uncharted era in our universe's history during which the birth of the first stars and galaxies led to the ionization of neutral hydrogen in the intergalactic medium. There are many experiments investigating the EoR by tracing the 21 cm line of neutral hydrogen. Because this signal is very faint and difficult to isolate, it is crucial to develop analysis techniques that maximize sensitivity and suppress contaminants in data. It is also imperative to understand the trade-offs between different analysis methods and their effects on power spectrum estimates. Specifically, with a statistical power spectrum detection in HERA's foreseeable future, it has become increasingly important to understand how certain analysis choices can lead to the loss of the EoR signal. In this paper, we focus on signal loss associated with power spectrum estimation. We describe the origin of this loss using both toy models and data taken by the 64-element configuration of the Donald C. Backer Precision Array for Probing the Epoch of Reionization (PAPER). In particular, we highlight how detailed investigations of signal loss have led to a revised, higher 21 cm power spectrum upper limit from PAPER-64. Additionally, we summarize errors associated with power spectrum error estimation that were previously unaccounted for. We focus on a subset of PAPER-64 data in this paper; revised power spectrum limits from the PAPER experiment are presented in a forthcoming paper by Kolopanis et al. and supersede results from previously published PAPER analyses.
机译:电离时代(EoR)是我们宇宙历史上一个未知的时代,在此期间,第一批恒星和星系的诞生导致星系中间介质中中性氢的电离。有许多实验通过追踪21 cm的中性氢线来研究EoR。由于此信号非常微弱且难以隔离,因此开发出可最大化灵敏度并抑制数据中污染物的分析技术至关重要。还必须了解不同分析方法之间的权衡及其对功率谱估计的影响。具体来说,在HERA可以预见的未来中进行统计功率谱检测,了解某些分析选择如何导致EoR信号丢失变得越来越重要。在本文中,我们关注与功率谱估计相关的信号损耗。我们使用玩具模型和由唐纳德·C·唐纳德·克雷克斯的精密阵列(用于探测电离时代)(PAPER)的64元素配置获取的数据来描述这种损失的根源。特别是,我们强调了对信号损耗的详细研究如何导致PAPER-64修订了更高的21 cm功率谱上限。另外,我们总结了以前无法解决的与功率谱误差估计相关的误差。在本文中,我们专注于PAPER-64数据的子集。 Kolopanis等人在即将发表的论文中介绍了PAPER实验的修正功率谱限值。并取代先前发表的PAPER分析的结果。
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