redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
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DOI：
10.1088/0004-637x/785/2/104
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发表时间：
2013-03
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影响因子：
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通讯作者：
E. Rykoff;E. Rozo;M. Busha;M. Busha;C. Cunha;A. Finoguenov;A. Evrard;J. Hao;Benjamin P. Koester-Benjamin-P.-Koe
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作者：
E. Rykoff;E. Rozo;M. Busha;M. Busha;C. Cunha;A. Finoguenov;A. Evrard;J. Hao;Benjamin P. Koester-Benjamin-P.-Koe
我们描述redMapPer，一个新的红色序列集群发现者，专门设计用于优化利用正在进行的和不久的将来的大型光度测量。该算法具有多个吸引人的特点：（1）它可以迭代自训练的红色序列模型的基础上一个最小的光谱训练样本，一个重要的功能，高红移调查。(2)它可以处理具有不同深度的复杂遮罩。(3)它产生适合集群的随机点，以实现大规模的结构研究。(4)所有的星系团都被赋予一个完整的红移概率分布P（z）。(5)类似地，星系团可以有多个候选中心星系，每个都有相应的中心概率。(6)该算法是并行的，数值效率高：它可以在2500 CPU小时内运行类似暗能量调查的目录。(7)该算法具有良好的光度红移性能，丰富度估计与外部质量代理密切相关，以及相应的目录的完整性和纯度是一流的。我们将redMapPer算法应用于SDSS DR 8数据的10000 deg 2，并在红移范围z ∈ [0.08，0.55]上呈现1025000个簇的结果目录。redMapPer的光度红移接近高斯，在z = 0.1时散射σz = 0.006，在z = 0.5时增加到σz = 0.02，这是由于测量极限附近光度噪声的增加。的中位值|Δz|对于整个样品，Δ（1 + z）为0.006。投射效应的发生率很低（约5%）。redMaPPer DR 8簇目录与X射线和Sunyaev-Zel'dovich目录的详细性能比较在配套论文中给出。
We describe redMaPPer, a new red sequence cluster finder specifically designed to make optimal use of ongoing and near-future large photometric surveys. The algorithm has multiple attractive features: (1) it can iteratively self-train the red sequence model based on a minimal spectroscopic training sample, an important feature for high-redshift surveys. (2) It can handle complex masks with varying depth. (3) It produces cluster-appropriate random points to enable large-scale structure studies. (4) All clusters are assigned a full redshift probability distribution P(z). (5) Similarly, clusters can have multiple candidate central galaxies, each with corresponding centering probabilities. (6) The algorithm is parallel and numerically efficient: it can run a Dark Energy Survey-like catalog in ∼500 CPU hours. (7) The algorithm exhibits excellent photometric redshift performance, the richness estimates are tightly correlated with external mass proxies, and the completeness and purity of the corresponding catalogs are superb. We apply the redMaPPer algorithm to ∼10, 000 deg2 of SDSS DR8 data and present the resulting catalog of ∼25,000 clusters over the redshift range z ∈ [0.08, 0.55]. The redMaPPer photometric redshifts are nearly Gaussian, with a scatter σz ≈ 0.006 at z ≈ 0.1, increasing to σz ≈ 0.02 at z ≈ 0.5 due to increased photometric noise near the survey limit. The median value for |Δz|/(1 + z) for the full sample is 0.006. The incidence of projection effects is low (⩽5%). Detailed performance comparisons of the redMaPPer DR8 cluster catalog to X-ray and Sunyaev–Zel'dovich catalogs are presented in a companion paper.