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arXiv 1209.0091astro-ph.CO
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偏置硬化CMB透镜

Bias-Hardened CMB Lensing

Toshiya Namikawa, Duncan Hanson, Ryuichi Takahashi

摘要:

我们提出了新的方法,从CMB温度波动的平均场和重建噪声偏置校正比目前的透镜估计,具有最小的信噪比损失的透镜重建。这些偏差通常使用蒙特卡罗模拟来校正,并且在这些模拟不能完美地模拟底层天空的程度上,偏差校正中存在不确定性。我们提出的偏置硬化估计可以降低这种不确定性的敏感性,并提供一个理想的交叉检查标准的结果。为了测试我们的方法,我们还展示了从100 deg^2上给出的模拟温度图进行透镜重建的结果,并证实我们的方法可以很好地减少典型掩模图的偏差,其中存在70个正方形掩模,每个掩模的一边有10弧分,覆盖2%的模拟图,这与当前SPT透镜分析中使用的掩模相似。

英文摘要:

We present new methods for lensing reconstruction from CMB temperature fluctuations which have smaller mean-field and reconstruction noise bias corrections than current lensing estimators, with minimal loss of signal-to-noise. These biases are usually corrected using Monte Carlo simulations, and to the extent that these simulations do not perfectly mimic the underlying sky there are uncertainties in the bias corrections. The bias-hardened estimators which we present can have reduced sensitivity to such uncertainties, and provide a desirable cross-check on standard results. To test our approach, we also show the results of lensing reconstruction from simulated temperature maps given on 100 deg^2, and confirm that our approach works well to reduce biases for a typical masked map in which 70 square masks each having 10 arcminute on a side exist, covering 2% of the simulated map, which is similar to the masks used in the current SPT lensing analysis.

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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