Clustering-based redshift estimation: method and application to data
Clustering-based redshift estimation: method and application to data
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发表时间：
2013-03
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通讯作者：
B. M'enard;R. Scranton;S. Schmidt;C. Morrison;D. Jeong;T. Budavári;Mubdi Rahman
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作者：
B. M'enard;R. Scranton;S. Schmidt;C. Morrison;D. Jeong;T. Budavári;Mubdi Rahman
我们提出了一种数据驱动的方法来推断任意数据集的红移分布的基础上与参考人口的空间互相关，我们将其应用到各种数据集的电磁频谱显示其潜力和局限性。我们的方法主张使用聚类测量的所有可用的尺度，与以往的作品只专注于线性尺度。我们还展示了如何通过在其光度空间内对数据集进行最佳采样来提高其准确性，而不是在全局范围内应用估计器。我们表明，这种技术的最终目标是表征测光观测空间和红移空间之间的映射，因为这种表征，然后让我们推断集群红移p.d. f。一个单一的星系。我们应用这一技术估算了SDSS的亮红星系和发射线星系、WISE的红外源和FIRST的射电源的红移分布。我们发现，一致的红移分布使用类星体和吸收体系统作为参考人口。这项技术带来了天文数据集的第三维有价值的信息。它广泛适用于大范围的银河系外调查。
We present a data-driven method to infer the redshift distribution of an arbitrary dataset based on spatial cross-correlation with a reference population and we apply it to various datasets across the electromagnetic spectrum to show its potential and limitations. Our approach advocates the use of clustering measurements on all available scales, in contrast to previous works focusing only on linear scales. We also show how its accuracy can be enhanced by optimally sampling a dataset within its photometric space rather than applying the estimator globally. We show that the ultimate goal of this technique is to characterize the mapping between the space of photometric observables and redshift space as this characterization then allows us to infer the clustering-redshift p.d.f. of a single galaxy. We apply this technique to estimate the redshift distributions of luminous red galaxies and emission line galaxies from the SDSS, infrared sources from WISE and radio sources from FIRST. We show that consistent redshift distributions are found using both quasars and absorber systems as reference populations. This technique brings valuable information on the third dimension of astronomical datasets. It is widely applicable to a large range of extra-galactic surveys.