Galaxy-Galaxy Weak-lensing Measurements from SDSS. I. Image Processing and Lensing Signals

Journal
Date Issued
2017
Author(s)
Luo, Wentao
•
Yang, Xiaohu
•
Zhang, Jun
•
Tweed, Dylan
•
Fu, Liping
•
Mo, H. J.
•
van den Bosch, Frank C.
•
Shu, Chenggang
•
Li, Ran
•
Li, Nan
•
Liu, Xiangkun
•
Pan, Chuzhong
•
Wang, Yiran
•
DOI
Abstract
We present our image processing pipeline that corrects the systematics introduced by the point-spread function (PSF). Using this pipeline, we processed Sloan Digital Sky Survey (SDSS) DR7 imaging data in r band and generated a galaxy catalog containing the shape information. Based on our shape measurements of the galaxy images from SDSS DR7, we extract the galaxy-galaxy (GG) lensing signals around foreground spectroscopic galaxies binned in different luminosities and stellar masses. We estimated the systematics, e.g., selection bias, PSF reconstruction bias, PSF dilution bias, shear responsivity bias, and noise rectification bias, which in total is between -9.1% and 20.8% at 2σ levels. The overall GG lensing signals we measured are in good agreement with Mandelbaum et al. The reduced χ 2 between the two measurements in different luminosity bins are from 0.43 to 0.83. Larger reduced χ 2 from 0.60 to 1.87 are seen for different stellar mass bins, which is mainly caused by the different stellar mass estimator. The results in this paper with higher signal-to-noise ratio are due to the larger survey area than SDSS DR4, confirming that more luminous/massive galaxies bear stronger GG lensing signals. We divide the foreground galaxies into red/blue and star-forming/quenched subsamples and measure their GG lensing signals. We find that, at a specific stellar mass/luminosity, the red/quenched galaxies have stronger GG lensing signals than their counterparts, especially at large radii. These GG lensing signals can be used to probe the galaxy-halo mass relations and their environmental dependences in the halo occupation or conditional luminosity function framework.
Volume
836
Issue
1
Start page
38
Uri
Url
Issn Identifier
0004-637X
Ads BibCode
2017ApJ...836...38L
Rights
open.access
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