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arXiv 2402.01233astro-ph.CO
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AliCPT-1前景清除策略的预测

Forecast of foreground cleaning strategies for AliCPT-1

Junzhou Zhang, Shamik Ghosh, Jiazheng Dou, Yang Liu, Siyu Li, Jiming Chen, Jiaxin Wang, Zhaoxuan Zhang, Jacques Delabrouille, Mathieu Remazeilles, Chang Feng, B… 展开作者

Junzhou Zhang, Shamik Ghosh, Jiazheng Dou, Yang Liu, Siyu Li, Jiming Chen, Jiaxin Wang, Zhaoxuan Zhang, Jacques Delabrouille, Mathieu Remazeilles, Chang Feng, Bin Hu, Hao Liu, Larissa Santos, Pengjie Zhang, Wen Zhao, Le Zhang, Zhi-Qi Huang, Hong Li, Chao-Lin Kuo, Xinmin Zhang

AI总结:

针对AliCPT-1的DC1模拟数据,研究比较TF、cILC、ABS和GLS四种独立前景清除流程,验证其在r=0.023时可将残余污染控制在2σ误差内且不造成显著r估计张力。

摘要:

我们报告了用于Ali CMB偏振望远镜实验(AliCPT-1)的若干独立前景清除流程的测试结果,AliCPT-1是北半球的一台高海拔CMB成像设备,拥有数千个探测器,致力于搜寻原初CMB偏振B模信号。基于来自4个探测器模块和单个观测季的模拟数据(我们将其称为Data Challenge 1,DC1),我们采用不同且独立的流程来检验前景参数估计和原初B模探测的稳健性与有效性。这些流程中使用的前景清除策略包括模板拟合(TF)参数化方法,以及约束内部线性组合(cILC)、解析盲分离(ABS)和广义最小二乘法(GLS)等非参数化方法。我们通过改变模拟图中的污染成分,并在各类测试中改变前景模型和天区,检验了每种流程中可能的前景残差对CMB张量-标量比(r)估计的影响。根据模拟输入值为r_true=0.023的DC1数据,TF/ABS/cILC/GLS流程中的前景残差污染水平在2σ水平上完全处于相应统计误差范围内。此外,通过利用张力估计器——该估计器通过量化各种r测量值之间的差异,帮助识别原初B模信号探测中显著的残余前景污染——我们得出结论:少量前景残差的存在不会导致r估计中出现任何显著的不一致性。

英文摘要:

We report the test results of several independent foreground-cleaning pipelines used in the Ali CMB Polarization Telescope experiment (AliCPT-1), a high-altitude CMB imager in the Northern hemisphere with thousands of detectors dedicated to the search for a primordial CMB polarization $B$-mode signature. Based on simulated data from 4 detector modules and a single season of observation, which we refer to as Data Challenge 1 (DC1), we employ different and independent pipelines to examine the robustness and effectiveness of the estimates on foreground parameters and the primordial $B$-mode detection. The foreground-cleaning strategies used in the pipelines include the parametric method of template fitting (TF) and the non-parametric methods of the constrained internal linear combination (cILC), the analytical blind separation (ABS), and the generalized least squares (GLS). We examine the impact of possible foreground residuals on the estimate of the CMB tensor-to-scalar ratio ($r$) for each pipeline by changing the contamination components in the simulated maps and varying the foreground models and sky patches for various tests. According to the DC1 data with the simulation input value $r_{\rm true}=0.023$, the foreground residual contamination levels in the TF/ABS/cILC/GLS pipelines are well within the corresponding statistical errors at the $2σ$ level. Furthermore, by utilizing the tension estimator, which helps identify significant residual foreground contamination in the detection of the primordial $B$-mode signal by quantifying the discrepancy between various $r$ measurements, we conclude that the presence of small foreground residuals does not lead to any significant inconsistency in the estimation of $r$.

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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