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

机译:X射线发射气体在径向温度场中的径向温度分布   星系

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摘要

Previous analyses of ASCA data of clusters of galaxies have found conflictingresults regarding the slope of the temperature profile of the hot X-ray gaswithin clusters, mainly because of the large, energy-dependent point spreadfunction (PSF) of the ASCA mirrors. We present a summary of all ASCA-determinedcluster temperature profiles found in the literature, and find a discrepancy inthe radial temperature trend of clusters based on which PSF-correction routineis used. This uncertainty in the cluster temperature profile in turn can leadto large uncertainties in the amount of dark matter in clusters. In this study,we have used ROSAT PSPC data to obtain independent relative temperatureprofiles for 26 clusters, most of which have had their temperature profilesdetermined by ASCA. Our aim is not to measure the actual temperature values ofthe clusters, but to use X-ray color profiles to search for a hardening orsoftening of the spectra with radius for comparison to ASCA-derived profiles.The radial color profiles indicate that outside of the cooling flow region, thetemperature profiles of clusters are in general constant. Within 35% of thevirial radius, we find a temperature drop of 20% at 10 keV and 12% at 5 keV canbe ruled out at the 99% confidence level. A subsample of non-cooling flowclusters shows that the condition of isothermality applies at very small radiitoo, although cooling gas complicates this determination in the cooling flowsubsample. The colors predicted from the temperature profiles of a series ofhydrodynamical cluster simulations match the data very well, although theycannot be used to discriminate among different cosmologies. An additionalresult is that the color profiles show evidence for a central peak inmetallicity in low temperature clusters.
机译:对星系团簇的ASCA数据进行的先前分析发现,关于团簇内热X射线气体的温度曲线斜率存在矛盾的结果,这主要是因为ASCA镜具有较大的能量依赖点扩展函数(PSF)。我们提供了在文献中发现的所有ASCA-determinedcluster温度曲线的摘要,并根据使用PSF校正例程的星团的径向温度趋势发现了差异。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,我们使用了ROSAT PSPC数据来获得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。我们的目的不是测量簇的实际温度值,而是使用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。径向颜色轮廓表示冷却之外在流动区域,团簇的温度分布通常是恒定的。在病毒半径的35%以内,我们发现在99%的置信度下,可以排除10 keV时20%的温度下降和5 keV时12%的温度下降。非冷却流簇的子样本显示等温条件适用于非常小的辐射,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簇模拟的温度曲线预测的颜色与数据非常匹配,尽管它们不能用于区分不同的宇宙学。另一个结果是,颜色配置文件显示出在低温簇中中心峰非金属性的证据。

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