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Radial Temperature Profiles of X-Ray-Emitting Gas Within Clusters of Galaxies

机译:星系团内X射线发射气体的径向温度分布

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摘要

Previous analyses of ASCA data of clusters of galaxies have found conflicting results regarding the slope of the temperature profile of the hot X-ray gas within clusters, mainly because of the large, energy-dependent point spread function (PSF) of the ASCA mirrors. We present a summary of all ASCA-determined cluster temperature profiles found in the literature, and find a discrepancy in the radial temperature trend of clusters based on which PSF-correction routine is used. This uncertainty in the cluster temperature profile in turn can lead to large uncertainties in the amount of dark matter in clusters. In this study, we have used ROSAT PSPC data to obtain independent relative temperature profiles for 26 clusters, most of which have had their temperature profiles determined by ASCA. Our aim is not to measure the actual temperature values of the clusters, but to use X-ray color profiles to search for a hardening or softening of the spectra with radius for comparison to ASCA-derived profiles. The radial color profiles indicate that outside of the cooling flow region, the temperature profiles of clusters are in general constant. Within 35% of the virial radius, we find a temperature drop of 20% at 10 keV and 12% at 5 keV can be ruled out at the 99% confidence level. A subsample of non-cooling flow clusters shows that the condition of isothermality applies at very small radii too, although cooling gas complicates this determination in the cooling flow subsample. The colors predicted from the temperature profiles of a series of hydrodynamical cluster simulations match the data very well, although they cannot be used to discriminate among different cosmologies. An additional result is that the color profiles show evidence for a central peak in metallicity in low temperature clusters.
机译:先前对星系团的ASCA数据进行的分析发现,关于团内热X射线气体的温度曲线斜率存在矛盾的结果,这主要是由于ASCA镜具有较大的能量依赖型点扩散函数(PSF)。我们提供了在文献中发现的所有由ASCA确定的星团温度曲线的摘要,并根据使用PSF校正程序的星团发现了径向温度趋势的差异。团簇温度曲线中的这种不确定性反过来又会导致团簇中暗物质含量的很大不确定性。在这项研究中,我们使用ROSAT PSPC数据获得了26个星团的独立相对温度曲线,其中大多数温度曲线由ASCA确定。我们的目的不是要测量簇的实际温度值,而是要使用X射线颜色轮廓来搜索具有半径的光谱的硬化或软化,以与ASCA派生的轮廓进行比较。径向颜色轮廓表明,在冷却流动区域之外,簇的温度轮廓通常是恒定的。在病毒半径的35%范围内,我们发现在10 keV时温度下降了20%,在5 keV时温度下降了12%,在99%置信度水平下可以被排除。非冷却流簇的子样本显示等温条件也适用于非常小的半径,尽管冷却气体在冷却流子样本中使确定变得复杂。通过一系列流体动力学集群模拟的温度曲线预测的颜色与数据非常匹配,尽管它们不能用来区分不同的宇宙学。另一个结果是,颜色轮廓显示出在低温簇中金属性中心峰的证据。

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