Effects of boosting on extragalactic components: methods and statistical studies
Effects of boosting on extragalactic components: methods and statistical studies
复制标题
增强对河外成分的影响：方法和统计研究
DOI：
10.1093/mnras/stac1017
复制
发表时间：
2022
影响因子：
4.8
通讯作者：
Dolag, Klaus
中科院分区：
文献类型：
--
作者：
Coulton, William;Feldman, Sydney;Maamari, Karime;Pierpaoli, Elena;Yasini, Siavash;Dolag, Klaus
在这项工作中，我们研究的影响，我们的运动相对于宇宙微波背景（CMB）的休息框架的CMB地图的统计检查的一个，两个，三个，四个点的统计模拟的CMB和Sunyaev-Zeldovich（SZ）的影响。我们通过比较它们的温度和偏振功率谱的结果来验证升压代码，最高可达6000。我们推导并验证了一个新的分析公式，用于计算具有通用频率依赖性的信号的提升功率谱。作为一个例子，我们展示了如何提高校正的功率谱的CMB强度测量由在150 GHz。我们研究的影响，从半解析和流体动力学模拟的热和动力学SZ功率谱的升压校正一般是小的两个模拟，除了当考虑频率附近的tSZ零。对于非高斯统计，一般来说，我们发现除了两个例外，boosting没有影响。我们发现，虽然CMB收敛场的统计数据不受影响，但用于测量该场的二次估计量可能会因提升效应而在thevel水平上出现偏差。我们提出了一个简单的修改，以消除这种偏见的标准估计。其次，当天空中存在各向异性时，双谱估计器可以从多普勒诱导的四极杆接收系统偏差-实际上，这种各向异性来自掩蔽和非均匀噪声。这种影响是不可观察的，已经被现有的分析方法所消除。
In this work, we examine the impact of our motion with respect to the Cosmic Microwave Background (CMB) rest frame on statistics of CMB maps by examining the one-, two-, three-, and four- point statistics of simulated maps of the CMB and Sunyaev–Zeldovich (SZ) effects. We validate boosting codes by comparing their outcomes for temperature and polarization power spectra up to ℓ ≃ 6000. We derive and validate a new analytical formula for the computation of the boosted power spectrum of a signal with a generic frequency dependence. As an example we show how this increases the boosting correction to the power spectrum of CMB intensity measurements byat 150 GHz. We examine the effect of boosting on thermal and kinetic SZ power spectra from semianalytical and hydrodynamical simulations; the boosting correction is generally small for both simulations, except when considering frequencies near the tSZ null. For the non-Gaussian statistics, in general we find that boosting has no impact with two exceptions. We find that, whilst the statistics of the CMB convergence field are unaffected, quadratic estimators that are used to measure this field can become biased at thelevel by boosting effects. We present a simple modification to the standard estimators that removes this bias. Second, bispectrum estimators can receive a systematic bias from the Doppler induced quadrupole when there is anisotropy in the sky – in practice this anisotropy comes from masking and inhomogeneous noise. This effect is unobservable and already removed by existing analysis methods.