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The cosmological analysis of X-ray cluster surveys

机译:X射线群勘测的宇宙学分析

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Context. Despite compelling theoretical arguments, the use of clusters as cosmological probes is, in practice, frequently questioned because of the many uncertainties surrounding cluster-mass estimates. Aims. Our aim is to develop a fully self-consistent cosmological approach of X-ray cluster surveys, exclusively based on observable quantities rather than masses. This procedure is justified given the possibility to directly derive the cluster properties via ab initio modelling, either analytically or by using hydrodynamical simulations. In this third paper, we evaluate the method on cluster toy-catalogues. Methods. We model the population of detected clusters in the count-rate – hardness-ratio – angular size – redshift space and compare the corresponding four-dimensional diagram with theoretical predictions. The best cosmology+physics parameter configuration is determined using a simple minimisation procedure; errors on the parameters are estimated by averaging the results from ten independent survey realisations. The method allows a simultaneous fit of the cosmological parameters of the cluster evolutionary physics and of the selection effects. Results. When using information from the X-ray survey alone plus redshifts, this approach is shown to be as accurate as the modelling of the mass function for the cosmological parameters and to perform better for the cluster physics, for a similar level of assumptions on the scaling relations. It enables the identification of degenerate combinations of parameter values. Conclusions. Given the considerably shorter computer times involved for running the minimisation procedure in the observed parameter space, this method appears to clearly outperform traditional mass-based approaches when X-ray survey data alone are available.
机译:上下文。尽管有令人信服的理论论点,但由于围绕星团质量估计的许多不确定性,在实践中,将星团用作宇宙学探测经常受到质疑。目的我们的目标是开发一种完全自洽的X射线群勘测宇宙学方法,完全基于可观察的数量而不是质量。考虑到可以通过从头算建模或分析或使用流体动力学模拟直接得出团簇性质的可能性,此程序是合理的。在第三篇文章中,我们评估了集群玩具目录中的方法。方法。我们在计数率–硬度比–角大小–红移空间中对检测到的簇的种群进行建模,并将相应的四维图与理论预测进行比较。最佳的宇宙学+物理参数配置是使用简单的最小化过程确定的;通过对十个独立调查实现的结果进行平均来估计参数的误差。该方法可以同时拟合星团演化物理学的宇宙学参数和选择效果。结果。当仅使用来自X射线勘测的信息加上红移时,对于相似的缩放比例假设水平,该方法被证明与宇宙参数的质量函数建模一样准确,并且对于星团物理性能更好。关系。它可以识别参数值的简并组合。结论。鉴于在观察到的参数空间中运行最小化程序所需的计算机时间大大缩短,因此仅使用X射线测量数据时,该方法似乎明显优于传统的基于质量的方法。

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