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A catalog of clusters to z ≤ 1 from the Oxford Dartmouth Thirty Degree Survey.

机译:牛津达特茅斯三十度调查的z≤1的星团目录。

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摘要

A sample of 46 previously unidentified, intermediate- to high-redshift, near-infrared (NIR)-selected galaxy clusters have been discovered in the Andromeda catalog of the Oxford Dartmouth Thirty Degree Survey (ODTS). These clusters vary from low- to high-redshift in distance, 0.1 z 0.8, and span galaxy count ranges from poor to rich clusters, richnesses of 10 NAbell 100. The clusters were selected from a contiguous field of 1.5 square degrees, imaged in 5 optical passbands, U, B, V, R, i, and one NIR passband, K. Two algorithms were developed to select the clusters from this multi-color dataset, the ODT Friends (ODTF) and the Brightest-color (BC). The ODTF method adapts the classical friends-of-friends method for use with photometric redshifts. The BC technique takes advantage of previous observations that clusters tend to be dominated by a large early-type galaxy, and that nearly all of the early-type galaxies in the cluster occupy a small space in color-magnitude diagrams. Extensive simulations with artificial galaxies have been performed to test how well these algorithms select clusters as a function of cluster richness and redshift. The ODTF method successfully recovers a larger fraction of the artificial clusters at higher redshift and lower richness class than the BC method, but this method also suffers from a larger number of false cluster identifications than the BC method. After correcting for the selection function and false detection rate of our algorithms, the abundances of ODTS clusters were compared to cluster counts found in other comparable surveys and to the abundance of clusters predicted by models of cluster formation. The ODT cluster number densities are very similar to other comparable surveys. The ODT cluster mass function is consistent with other surveys, and all of these surveys are broadly consistent with a range of cosmological models.
机译:在牛津达特茅斯三十度调查(ODTS)的仙女座目录中发现了46个先前未被识别的,中度至高红移,近红外(NIR)选择的星系团样本。这些星团的距离从低到高的红移不等,0.1 italic> z <0.8,跨星系计数范围从低星团到富星团,富集度为10 italicN Abell < / sub> <100。从1.5平方度的连续场中选择簇,在5个光学通带中成像, U,B,V,R,i '< / super>和一个NIR通带 K 。开发了两种算法从该多色数据集中选择聚类,即ODT Friends(ODTF)和Brightest-color(BC)。 ODTF方法使经典的“朋友之友”方法适用于光度红移。 BC技术利用了先前的观察结果,即星团倾向于由一个大型的早期星系占主导地位,并且在色度图中,该星团中几乎所有的早期星系都占据很小的空间。已经进行了带有人造星系的广泛模拟,以测试这些算法选择星团作为星团丰富度和红移的函数的程度。与BC方法相比,ODTF方法能够以较高的红移和较低的富集度成功地回收较大比例的人工簇,但是与BC方法相比,该方法还具有大量的错误簇识别问题。在校正了我们算法的选择函数和错误检测率之后,将ODTS群集​​的丰度与在其他可比较调查中发现的群集计数以及由群集形成模型预测的群集进行了比较。 ODT簇数密度与其他可比较的调查非常相似。 ODT簇质量函数与其他调查一致,并且所有这些调查在很大程度上与一系列宇宙学模型一致。

著录项

  • 作者

    Hammell, Molly C.;

  • 作者单位

    Dartmouth College.;

  • 授予单位 Dartmouth College.;
  • 学科 Physics Astronomy and Astrophysics.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 天文学;
  • 关键词

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