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

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 GGmore » 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.« less

Authors:
ORCiD logo [1];  [2];  [3];  [3];  [4]; ORCiD logo [5];  [6];  [4];  [7]; ORCiD logo [8]; ORCiD logo [9];  [9];  [10];  [11]
+ Show Author Affiliations
  1. Shanghai Astronomical Observatory (China); Shanghai Jiaotong Univ. (China); Carnegie Mellon Univ., Pittsburgh, PA (United States)
  2. Carnegie Mellon Univ., Pittsburgh, PA (United States); Shanghai Jiaotong Univ. (China)
  3. Carnegie Mellon Univ., Pittsburgh, PA (United States)
  4. Shanghai Normal Univ. (China)
  5. Univ. of Massachusetts, Amherst, MA (United States); Tsinghua Univ., Beijing (China)
  6. Yale Univ., New Haven, CT (United States)
  7. Chinese Academy of Sciences (CAS), Beijing (China). Key Lab. for Computational Astrophysics
  8. Univ. of Chicago, IL (United States); Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics (KICP)
  9. Peking Univ., Beijing (China)
  10. Univ. of Illinois at Urbana-Champaign, IL (United States). Dept. of Astronomy
  11. Istituto Nazionale di Astrofisica (INAF), Napoli (Italy); Istituto Nazionale di Astrofisica (INAF), Padova (Italy)
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Natural Science Foundation of China (NSFC); Chinese Academy of Sciences (CAS) - Strategic Priority Research Program
OSTI Identifier:
1494715
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal (Online); Journal Volume: 836; Journal Issue: 1; Journal ID: ISSN 1538-4357
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; cosmology; gravitational lensing; galaxies; clusters; general

Citation Formats

Luo, Wentao, Yang, Xiaohu, Zhang, Jun, Tweed, Dylan, Fu, Liping, Mo, H. J., Bosch, Frank C. van den, Shu, Chenggang, Li, Ran, Li, Nan, Liu, Xiangkun, Pan, Chuzhong, Wang, Yiran, and Radovich, Mario. Galaxy–Galaxy Weak-lensing Measurements from SDSS. I. Image Processing and Lensing Signals. United States: N. p., 2017. Web. doi:10.3847/1538-4357/836/1/38.
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Luo, Wentao, Yang, Xiaohu, Zhang, Jun, Tweed, Dylan, Fu, Liping, Mo, H. J., Bosch, Frank C. van den, Shu, Chenggang, Li, Ran, Li, Nan, Liu, Xiangkun, Pan, Chuzhong, Wang, Yiran, & Radovich, Mario. Galaxy–Galaxy Weak-lensing Measurements from SDSS. I. Image Processing and Lensing Signals. United States. https://doi.org/10.3847/1538-4357/836/1/38
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Luo, Wentao, Yang, Xiaohu, Zhang, Jun, Tweed, Dylan, Fu, Liping, Mo, H. J., Bosch, Frank C. van den, Shu, Chenggang, Li, Ran, Li, Nan, Liu, Xiangkun, Pan, Chuzhong, Wang, Yiran, and Radovich, Mario. Tue . "Galaxy–Galaxy Weak-lensing Measurements from SDSS. I. Image Processing and Lensing Signals". United States. https://doi.org/10.3847/1538-4357/836/1/38. https://www.osti.gov/servlets/purl/1494715.
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@article{osti_1494715,
title = {Galaxy–Galaxy Weak-lensing Measurements from SDSS. I. Image Processing and Lensing Signals},
author = {Luo, Wentao and Yang, Xiaohu and Zhang, Jun and Tweed, Dylan and Fu, Liping and Mo, H. J. and Bosch, Frank C. van den and Shu, Chenggang and Li, Ran and Li, Nan and Liu, Xiangkun and Pan, Chuzhong and Wang, Yiran and Radovich, Mario},
abstractNote = {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.},
doi = {10.3847/1538-4357/836/1/38},
journal = {The Astrophysical Journal (Online)},
number = 1,
volume = 836,
place = {United States},
year = {Tue Feb 07 00:00:00 EST 2017},
month = {Tue Feb 07 00:00:00 EST 2017}
}
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