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研究生: 龍志鈞
Lung, Chi Chun
論文名稱: 使用疊加分析以探討在低紅位移的六十一個星系團中之星系光度函數對於環境影響
Environment Effects of the Galaxy Luminosity Function inside the Sixty-one Clusters of Galaxies at Low Redshift Using Stacking Analysis
指導教授: 橋本康弘
Yasuhiro Hashimoto
學位類別: 碩士
Master
系所名稱: 地球科學系
Department of Earth Sciences
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 152
中文關鍵詞: 星系團光度函數
英文關鍵詞: Galaxy Cluster, Luminosity Function
DOI URL: https://doi.org/10.6345/NTNU202202865
論文種類: 學術論文
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  • 我們使用疊加分析來探討在低紅移之六十一個星系團內的星系光度函數及其環境影響。
    由X-ray光度函數所定義的豐富度,對於藍色或是紅色的光度函數形狀沒有影響。這可能是因為我們的光度函數不是分割於高亮度端和或是低亮度端。在藍色波段(如g波段),低紅位移的星系團比高紅位移的相比,顯示出較為明亮的M*值。我們認為在低紅移星系團內內部有更明亮的星系,這與解釋不一致,且不符合結構演化的分層情景(Kauffmann等,2003)。結果可能來自Malmquist 偏差。在藍色波段中顯示出來,星系團內的外圍則顯示較低的α值。這實驗結果與我們認為在星系團內的外圍有更多的微弱的藍色星系,而藍色矮星星通常分布在遠離中心的地方(Papaderos等,1996)是一致的。

    We investigate the environment effects of the galaxy luminosity function inside the sixty-one clusters of galaxies at low Redshift using stacking analysis.
    The richness of cluster, defined by X-ray luminosity function, shows no effect on the shape of the luminosity function both in blue and red band. This maybe due to the fact that our luminosity function cut is not high and low end. At low redshift, clusters show brighter M* compared to high redshift clusters in blue band (i.e. g band). This is not consistent with interpretation that we have more bright galaxies inside low redshift clusters, and in disagreement with hieratical scenario of structure formation (Kauffmann et al., 2003). The result maybe comes from Malmquist bias. Outskirts of clusters show lower α, again most vividly shown in the blue band. This is consistent with interpretation that we have more faint blue galaxies at outskirt in the clusters. And the blue dwarf galaxies often are distributed far to the center (Papaderos et al., 1996).

    1. Introduction Page 1 2. Data Sets Page 3 2.1 XMM-Newton Cluster Survey Page 3 2.2 Sloan Digital Sky Survey Page 4 3. Methods Page 6 3.1 Cluster Membership Page 6 3.1.1 Spectroscopic Redshift Selection Page 6 3.1.2 Photometric Redshift Selection Page 7 3.3.3 Background Subtraction Page 7 3.2 Stacking Page 7 3.2.1 General Stacking Methods Page 7 3.2.2 Stacking the Subsets of Clusters Page 7 3.2.3 Cluster Core and Cluster Outskirt Subset of Clusters Page 8 3.2.4 High Redshift Clusters and Low Redshift Clusters Subset of Clusters Page 8 3.2.5 High X-ray Luminosity and Low X-ray Luminosity Subset of Clusters Page 8 3.3 Corrections Page 8 3.3.1 Volume Correction Page 8 3.3.2 K-Correction and Evolution Correction Page 9 4. Results Page 14 4.1 Individual Cluster Page 14 4.1.1 Analysis using Background Subtraction Page 14 4.1.2 Analysis using Photometric Redshift Page 78 4.2 Stacking Analyses Page 142 4.2.1 Stacking all the Clusters Page 142 4.2.2 Cluster Core and Cluster Outskirt Subset Page 144 4.2.3 High Redshift Clusters and Low Redshift Clusters Subset Page 145 4.2.4 High X-ray Luminosity and Low X-ray Luminosity Subset Page 146 4.2.5 Comparison Page 147 5. Summary and Discussion Page 148 Acknowledgement Page 150 References Page 151

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