一种改进的聚类丰富度估计
An Improved Cluster Richness Estimator
摘要：
最小化星系团质量与可观测量之间的离散度是星系团宇宙学的一个重要目标。在这项工作中，我们引入了一个新的匹配滤波器丰富度估计，并使用maxBCG集群目录测试其性能。我们的新估计量显著降低了L_X-丰度关系的方差，从σ_{ \ln L_X}^2=（0.86 \pm 0.02）^2降低到σ_{ \ln L_X}^2=（0.69 \pm 0.02）^2。相对于maxBCG丰富度估计，它还消除了丰富度标度关系的强红移依赖性，并且对光度和红移误差更加鲁棒。这些改进在很大程度上是由于我们对星系颜色数据进行了更复杂的处理。我们还证明了L_X-丰富度关系中的散射依赖于用于估计集群丰富度的孔径，并介绍了一种新的方法来优化所述孔径，可以很容易地推广到其他质量示踪剂。
英文摘要：
Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L_X-richness relation, from σ_{\ln L_X}^2=(0.86\pm0.02)^2 to σ_{\ln L_X}^2=(0.69\pm0.02)^2. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L_X-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.
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