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SRoll2: an improved mapmaking approach to reduce large-scale systematic effects in the Planck High Frequency Instrument legacy maps

机译: SRoll2 :一种改进的制图方法,可减少 Planck High Frequency Instrument旧版地图中的大规模系统影响

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This paper describes an improved map making approach with respect to the one used for the Planck High Frequency Instrument 2018 Legacy release. The algorithm SRoll2 better corrects the known instrumental effects that still affected mostly the polarized large-angular-scale data by distorting the signal, and/or leaving residuals observable in null tests. The main systematic effect is the nonlinear response of the onboard analog-to-digital convertors that was cleaned in the Planck HFI Legacy release as an empirical time-varying linear detector chain response which is the first-order effect. The SRoll2 method fits the model parameters for higher-order effects and corrects the full distortion of the signal. The model parameters are fitted using the redundancies in the data by iteratively comparing the data and a model. The polarization efficiency uncertainties and associated errors have also been corrected based on the redundancies in the data and their residual levels characterized with simulations. This paper demonstrates the effectiveness of the method using end-to-end simulations, and provides a measure of the systematic effect residuals that now fall well below the detector noise level. Finally, this paper describes and characterizes the resulting SRoll2 frequency maps using the associated simulations that are released to the community.
机译:本文针对Planck High Frequency Instrument 2018 Legacy版本使用的地图制图方法进行了改进。算法SRoll2可以通过使信号失真和/或在零测试中观察到残差来更好地校正仍对大部分极化大角度数据产生影响的已知仪器效果。主要的系统效果是在普朗克HFI Legacy版本中清除的板载模数转换器的非线性响应,它是经验时变线性检测器链响应,这是一阶效应。 SRoll2方法适合模型参数以获得更高阶的效果,并校正信号的完全失真。通过迭代比较数据和模型,使用数据中的冗余来拟合模型参数。极化效率的不确定性和相关的误差也已经根据数据中的冗余度和其残差水平进行了校正,从而得到了校正。本文演示了使用端到端仿真的方法的有效性,并提供了一种对系统效果残差的一种测量方法,该残差现在大大低于检测器的噪声水平。最后,本文使用发布到社区的相关模拟描述并表征了生成的SRoll2频率图。

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