论文标题
对Alicpt-1的CMB镜头观测的预测
Forecasts on CMB lensing observations with AliCPT-1
论文作者
论文摘要
ALICPT-1是第一个中国CMB实验,旨在高精度测量宇宙微波背景B模式极化。目前在西藏部署的望远镜将以90和150 GHz为中心的两个频带观察到。我们预测了Alicpt-1的CMB透镜重建,透镜 - 镜头以及镜头-CIB(宇宙红外背景)交叉相关信号 - 噪声比(SNR)。我们考虑两个具有不同集成观察时间的阶段,即“ 4模块*yr”(第一阶段)和“ 48模块*yr”(最后阶段)。对于镜头重建,我们使用弯曲的天空几何形状使用三个不同的二次估计器,即仅温度,仅极化和最小值估计器。我们考虑了由于不完整的天空覆盖范围而导致的不均匀命中率以及平均场偏见的影响。在第一阶段,我们的结果表明,150 GHz通道能够以$15σ$的意义来衡量最小值估计器的显着性。在最后阶段,测量意义将增加到$31σ$。我们还将两个频率数据组合在谐波域中以优化SNR。我们的结果表明,共同过程可以显着减少多个范围L> 800的重建偏置。由于在ALICPT-1的最后阶段的极化数据的高质量,EB估计器将在此阶段主导镜头重建。我们还估计了宇宙大规模结构的Alicpt-1 CMB镜头与其他示踪剂之间的互相关SNR。对于它与Desi星系/类星体的互相关,我们报告了4个红移箱的互相关SNR = 10-20,为0.05 <z <2.1。在第一阶段,总SNR约为32美元。在最后阶段,镜头 - 盖式互相关可以达到SNR = 52。
AliCPT-1 is the first Chinese CMB experiment aiming for high precision measurement of Cosmic Microwave Background B-mode polarization. The telescope, currently under deployment in Tibet, will observe in two frequency bands centered at 90 and 150 GHz. We forecast the CMB lensing reconstruction, lensing-galaxy as well as lensing-CIB (Cosmic Infrared Background) cross correlation signal-to-noise ratio (SNR) for AliCPT-1. We consider two stages with different integrated observation time, namely "4 module*yr" (first stage) and "48 module*yr" (final stage). For lensing reconstruction, we use three different quadratic estimators, namely temperature-only, polarization-only and minimum-variance estimators, using curved sky geometry. We take into account the impact of inhomogeneous hit counts as well as of the mean-field bias due to incomplete sky coverage. In the first stage, our results show that the 150 GHz channel is able to measure the lensing signal at $15σ$ significance with the minimum-variance estimator. In the final stage, the measurement significance will increase to $31σ$. We also combine the two frequency data in the harmonic domain to optimize the SNR. Our result show that the coadding procedure can significantly reduce the reconstruction bias in the multiple range l>800. Thanks to the high quality of the polarization data in the final stage of AliCPT-1, the EB estimator will dominate the lensing reconstruction in this stage. We also estimate the SNR of cross-correlations between AliCPT-1 CMB lensing and other tracers of the large scale structure of the universe. For its cross-correlation with DESI galaxies/quasars, we report the cross-correlation SNR = 10-20 for the 4 redshift bins at 0.05<z<2.1. In the first stage, the total SNR is about $32$. In the final stage, the lensing-galaxy cross-correlation can reach SNR=52.