标题： 预测弥散X射线辐射与热Sunyaev-Zel'dovich效应之间的角交叉相关性 显示英文标题

标题： Forecasting Angular Cross Correlations Between Diffuse X-ray Emission and the Thermal Sunyaev-Zel'dovich Effect

摘要： X射线辐射和热Sunyaev-Zel'dovich畸变对宇宙微波背景是研究宇宙气体含量的两个重要手段。 这两种效应之间的交叉相关性消除了噪声偏差并减少了观测系统效应。 使用簇的分析模型，我们开发了一个晕模型形式来研究这种交叉相关性，并将其应用于预测eROSITA和Simons Observatory即将进行的测量的信噪比。 在软X射线波段（0.5-2 keV），我们预测交叉功率谱的信噪比为174。 在广泛的尺度范围内，X射线将占主导地位，因此样本方差很重要。 特别是，误差的非高斯（四点）贡献突显了遮罩大质量簇的实用性。 遮罩到 $10^{14}\ M_\odot$会将交叉谱的信噪比提高到201。 我们对Battaglia等人气体分布的拟合系数和宇宙学参数进行了Fisher分析。 我们发现交叉谱对压力和电子密度分布的整体尺度以及宇宙学参数$\sigma_8$和$H_0$最为敏感，但参数数量众多形成了一组退化参数，这使得提取信息更具挑战性。 我们的建模框架具有灵活性，未来我们可以轻松地将其扩展以预测高能分辨率微热量计可用的X射线线巡天的空间交叉相关性，对温-热星系际介质的研究以及其他效应的预测。 显示英文摘要

摘要： X-ray emission and the thermal Sunyaev-Zel'dovich distortion to the Cosmic Microwave Background are two important handles on the gas content of the Universe. The cross-correlation between these effects eliminates noise bias and reduces observational systematic effects. Using analytic models for the cluster profile, we develop a halo model formalism to study this cross-correlation and apply it to forecast the signal-to-noise of upcoming measurements from eROSITA and the Simons Observatory. In the soft X-ray band (0.5--2 keV), we forecast a signal-to-noise of 174 for the cross-power spectrum. Over a wide range of the scales, the X-rays will be signal-dominated, and so sample variance is important. In particular, non-Gaussian (4-point) contributions to the errors highlight the utility of masking massive clusters. Masking clusters down to $10^{14}\ M_\odot$ increases the signal-to-noise of the cross-spectrum to 201. We perform a Fisher Analysis on the fitting coefficients of the Battaglia et al. gas profiles and on cosmological parameters. We find that the cross spectrum is most sensitive to the overall scale of the profiles of pressure and electron density, as well as cosmological parameters $\sigma_8$ and $H_0$, but that the large number of parameters form a degenerate set, which makes extracting the information more challenging. Our modeling framework is flexible, and in the future, we can easily extend it to forecast the spatial cross-correlations of surveys of X-ray lines available to high-energy-resolution microcalorimetry, to studies of the Warm-Hot Intergalactic Medium, and other effects.