Precision Measurements of the Cluster Red Sequence using an Error Corrected Gaussian Mixture Model
Jiangang Hao, Benjamin P. Koester, Timothy A. Mckay, Eli S. Rykoff, Eduardo Rozo, August Evrard, James Annis, Matthew Becker, Michael Busha, David Gerdes, David… 展开作者
Jiangang Hao, Benjamin P. Koester, Timothy A. Mckay, Eli S. Rykoff, Eduardo Rozo, August Evrard, James Annis, Matthew Becker, Michael Busha, David Gerdes, David E. Johnston, Erin Sheldon, Risa H. Wechsler
The red sequence is an important feature of galaxy clusters and plays a crucial role in optical cluster detection. Measurement of the slope and scatter of the red sequence are affected both by selection of red sequence galaxies and measurement errors. In this paper, we describe a new error corrected Gaussian Mixture Model for red sequence galaxy identification. Using this technique, we can remove the effects of measurement error and extract unbiased information about the intrinsic properties of the red sequence. We use this method to select red sequence galaxies in each of the 13,823 clusters in the maxBCG catalog, and measure the red sequence ridgeline location and scatter of each. These measurements provide precise constraints on the variation of the average red galaxy populations in the observed frame with redshift. We find that the scatter of the red sequence ridgeline increases mildly with redshift, and that the slope decreases with redshift. We also observe that the slope does not strongly depend on cluster richness. Using similar methods, we show that this behavior is mirrored in a spectroscopic sample of field galaxies, further emphasizing that ridgeline properties are independent of environment.
Gaussian process surrogate with physical law-corrected prior for multi-coupled PDEs defined on irregular geometry
School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院）；School of Mathematics and Statistics, Central South University（中南大学数学与统计学院）；Institute of Applied Physics and Computational Mathematics（北京应用物理与计算数学研究所）；Institute of Mathematics, Henan Academy of Sciences（河南省科学院数学研究所）
Dust-Corrected Colors Reveal Bimodality in AGN Host Galaxy Colors at z~1
使用新的，高精度的光度红移从MUSYC中波段调查在扩展的钱德拉深场南（ECDF-S），我们拟合合成恒星星族模型比较活动星系核宿主星系在0.8 < z < 1.2。我们发现活动星系核的宿主星系在色质图的红色序列和绿色谷中主要是大质量星系。因为被动星系和尘埃星系在光学颜色上都可以呈现红色，我们使用静止帧近红外颜色来区分被动演化的恒星星族和被尘埃变红的星系。与整个星系群一样，约25%的“红色”活动星系核宿主星系和约75%的“绿色”活动星系核宿主星系的颜色与被尘埃变红的年轻恒星星族一致。尘埃校正的静止框架光学色是恒星形成星系的蓝色，这意味着这些活动星系核宿主并没有被动地老化到红色序列。在z~1处，活动星系核的活动大致均匀地分布在两种黑洞生长模式中：第一种是被动演化的宿主星系，可能会加热星系的气体，阻止未来的恒星形成;第二种是尘埃变红的年轻星系，可能会电离星系的星际介质，阻止恒星形成。
