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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
The detection of the large-scale alignment of massive galaxies at z ∼ 0.6
Astrophysical Journal Letters, Volume 770, No. 1, Article L12, Year 2013
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Description
We report on the detection of the alignment between galaxies and large-scale structure at z ∼ 0.6 based on the CMASS galaxy sample from the Baryon Oscillation Spectroscopy Survey Data Release 9. We use two statistics to quantify the alignment signal: (1) the alignment two-point correlation function that probes the dependence of galaxy clustering at a given separation in redshift space on the projected angle (θp) between the orientation of galaxies and the line connecting to other galaxies, and (2) the cos (2θ)-statistic that estimates the average of cos (2θ p) for all correlated pairs at a given separation s. We find a significant alignment signal out to about 70 h -1 Mpc in both statistics. Applications of the same statistics to dark matter halos of mass above 1012 h -1 M ⊙ in a large cosmological simulation show scale-dependent alignment signals similar to the observation, but with higher amplitudes at all scales probed. We show that this discrepancy may be partially explained by a misalignment angle between central galaxies and their host halos, though detailed modeling is needed in order to better understand the link between the orientations of galaxies and host halos. In addition, we find systematic trends of the alignment statistics with the stellar mass of the CMASS galaxies, in the sense that more massive galaxies are more strongly aligned with the large-scale structure. © 2013. The American Astronomical Society. All rights reserved.
Authors & Co-Authors
Li, Cheng
China, Beijing
Chinese Academy of Sciences
Jing, Yipeng
China, Shanghai
Shanghai Jiao Tong University
Faltenbacher, Andreas
South Africa, Johannesburg
University of the Witwatersrand
Wang, Jie
China, Beijing
National Astronomical Observatories Chinese Academy of Sciences
Statistics
Citations: 40
Authors: 4
Affiliations: 4
Identifiers
Doi:
10.1088/2041-8205/770/1/L12
ISSN:
20418205
e-ISSN:
20418213
Study Design
Cross Sectional Study
Study Approach
Quantitative