arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1607.02150astro-ph.CO
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远红外尘埃辐射参数模型的前景偏差

Foreground Bias From Parametric Models of Far-IR Dust Emission

A. Kogut, D. J. Fixsen

摘要:

我们使用简单的玩具模型的远红外尘埃排放的准确性估计的宇宙微波背景的偏振可以恢复使用多频拟合,如果参数形式选择的拟合尘埃模型不同于实际的尘埃排放。常用的近似的远红外尘埃光谱产生CMB残差可比或大于下一代CMB任务的预期灵敏度,尽管拟合的组合CMB +前景排放的精度为0.1%或更好。对尘埃光谱的瑞利-金斯近似使拟合的尘埃光谱指数偏置Δ beta_d = 0.2,使暴胀B模振幅偏置Δ r = 0.03。如果真实的尘埃光谱包含多个温度分量,则在单个温度下将尘埃拟合到修改的黑体使最佳拟合CMB偏差Δ r > 0.003。一个13参数的模型拟合两个温度分量减少了这种偏见的数量级,如果真正的尘埃光谱实际上是一个简单的叠加在不同温度下的排放,但失败的水平Δ r = 0.006的尘埃的光谱指数随频率而变化。将观测频率限制在前景最小值附近的一个狭窄区域,可以减少某些尘埃光谱的偏差,但会增加其他光谱的偏差。在太赫兹频率周围的灰尘排放的峰值的数据可以减轻这些偏差,同时提供了一个直接确定的灰尘温度分布。

英文摘要:

We use simple toy models of far-IR dust emission to estimate the accuracy to which the polarization of the cosmic microwave background can be recovered using multi-frequency fits, if the parametric form chosen for the fitted dust model differs from the actual dust emission. Commonly used approximations to the far-IR dust spectrum yield CMB residuals comparable to or larger than the sensitivities expected for the next generation of CMB missions, despite fitting the combined CMB + foreground emission to precision 0.1% or better. The Rayleigh-Jeans approximation to the dust spectrum biases the fitted dust spectral index by Delta beta_d = 0.2 and the inflationary B-mode amplitude by Delta r = 0.03. Fitting the dust to a modified blackbody at a single temperature biases the best-fit CMB by Delta r > 0.003 if the true dust spectrum contains multiple temperature components. A 13-parameter model fitting two temperature components reduces this bias by an order of magnitude if the true dust spectrum is in fact a simple superposition of emission at different temperatures, but fails at the level Delta r = 0.006 for dust whose spectral index varies with frequency. Restricting the observing frequencies to a narrow region near the foreground minimum reduces these biases for some dust spectra but can increase the bias for others. Data at THz frequencies surrounding the peak of the dust emission can mitigate these biases while providing a direct determination of the dust temperature profile.

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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