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首页> 外文期刊>PASJ: Publications of the Astronomical Society of Japan >Source selection for cluster weak lensing measurements in the Hyper Suprime-Cam survey
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Source selection for cluster weak lensing measurements in the Hyper Suprime-Cam survey

机译：超级凸轮调查中集群弱镜头测量的源选择

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摘要

We present optimized source galaxy selection schemes for measuring cluster weak lensing (WL) mass profiles unaffected by clustermember dilution from the Subaru Hyper Suprime-Cam Strategic Survey Program (HSC-SSP). The ongoing HSC-SSP survey will uncover thousands of galaxy clusters to z less than or similar to 1.5. In deriving cluster masses viaWL, a critical source of systematics is contamination and dilution of the lensing signal by cluster members, and by foreground galaxies whose photometric redshifts are biased. Using the first-year CAMIRA catalog of similar to 900 clusters with richness larger than 20 found in similar to 140 deg(2) of HSC-SSP data, we devise and compare several source selection methods, including selection in color-color space (CC-cut), and selection of robust photometric redshifts by applying constraints on their cumulative probability distribution function (P-cut). We examine the dependence of the contamination on the chosen limits adopted for each method. Using the proper limits, these methods give mass profiles with minimal dilution in agreement with one another. We find that not adopting either the CC-cut or P-cut methods results in an underestimation of the total cluster mass (13% +/- 4%) and the concentration of the profile (24% +/- 11%). The level of cluster contamination can reach as high as similar to 10% at R approximate to 0.24 Mpc/ h for low-z clusters without cuts, while employing either the P-cut or CC-cut results in cluster contamination consistent with zero to within the 0.5% uncertainties. Our robust methods yield a similar to 60 sigma detection of the stacked CAMIRA surface mass density profile, with a mean mass of M-200c = [1.67 +/- 0.05(stat)] x 10(14) M-circle dot/h.
机译：我们提出了优化的源星系选择方案，用于测量星团弱透镜效应（WL）质量剖面，该质量剖面不受斯巴鲁超优级Cam战略调查计划（HSC-SSP）星团成员稀释的影响。正在进行的HSC-SSP调查将发现数千个z小于或类似于1.5的星系团。在通过viaWL推导星团质量时，系统学的一个关键来源是星团成员和光度红移有偏差的前景星系对透镜信号的污染和稀释。利用在类似140度（2）的HSC-SSP数据中发现的丰富度大于20的类似900个星团的第一年CAMIRA目录，我们设计并比较了几种源选择方法，包括颜色空间选择（CC-cut），以及通过对其累积概率分布函数（P-cut）施加约束来选择稳健的光度红移。我们检查污染对每种方法所选限值的依赖性。使用适当的限值，这些方法给出的质量分布图彼此一致，稀释度最小。我们发现，不采用CC-cut或P-cut方法会导致低估总团簇质量（13%+/-4%）和分布浓度（24%+/-11%）。对于无切割的低z簇，在R接近0.24 Mpc/h时，簇污染水平可高达10%，而采用P-cut或CC-cut会导致簇污染与0到0.5%的不确定性一致。我们的稳健方法对堆积的卡米拉表面质量密度分布进行了类似于60西格玛的检测，平均质量为M-200c=[1.67+/-0.05（统计）]x 10（14）M-圆点/h。

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