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Title: Constraining the masses of high-redshift clusters with weak lensing: Revised shape calibration testing for the impact of stronger shears and increased blending

Abstract

Weak lensing measurements suffer from well-known shear estimation biases, which can be partially corrected for with the use of image simulations. Here we present an analysis of simulated images that mimic Hubble Space Telescope/Advance Camera for Surveys observations of high-redshift galaxy clusters, including cluster specific issues such as non-weak shear and increased blending. Our synthetic galaxies have been generated to have similar observed properties as the background-selected source samples studied in the real images. First, we used simulations with galaxies placed on a grid to determine a revised signal-to-noise-dependent (S/NKSB) correction for multiplicative shear measurement bias, and to quantify the sensitivity of our KSB+ bias calibration to mismatches of galaxy or PSF properties between the real data and the simulations. Next, we studied the impact of increased blending and light contamination from cluster and foreground galaxies, finding it to be negligible for high-redshift (z > 0.7) clusters, whereas shear measurements can be affected at the ~1% level for lower redshift clusters given their brighter member galaxies. Finally, we studied the impact of fainter neighbours and selection bias using a set of simulated images that mimic the positions and magnitudes of galaxies in Cosmic Assembly Near-IR Deep Extragalactic Legacy Survey (CANDELS)more » data, thereby including realistic clustering. While the initial SExtractor object detection causes a multiplicative shear selection bias of –0.028 ± 0.002, this is reduced to –0.016 ± 0.002 by further cuts applied in our pipeline. Given the limited depth of the CANDELS data, we compared our CANDELS-based estimate for the impact of faint neighbours on the multiplicative shear measurement bias to a grid-based analysis, to which we added clustered galaxies to even fainter magnitudes based on Hubble Ultra Deep Field data, yielding a refined estimate of ~ –0.013. Our sensitivity analysis suggests that our pipeline is calibrated to an accuracy of ~0.015 once all corrections are applied, which is fully sufficient for current and near-future weak lensing studies of high-redshift clusters. As an application, we used it for a refined analysis of three highly relaxed clusters from the South Pole Telescope Sunyaev-Zeldovich survey, where we now included measurements down to the cluster core (r > 200 kpc) as enabled by our work. Compared to previously employed scales (r > 500 kpc), this tightens the cluster mass constraints by a factor 1.38 on average.« less

Authors:
 [1];  [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9]
  1. Univ. of Bonn (Germany)
  2. Leiden Univ. (Netherlands)
  3. Aix-Marseille Univ., Marseille (France)
  4. Univ. of Montreal, QC (Canada)
  5. Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Chicago, IL (United States)
  6. Univ. of Chicago, IL (United States)
  7. Rubin Observatory Project Office, Tucson, AZ (United States)
  8. Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA (United States)
  9. Univ. of Cincinnati, OH (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
German Research Foundation (DFG); Netherlands Organisation for Scientific Research (NWO); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); Federal Ministry of Economics and Technology (BMWi); European Research Council (ERC)
OSTI Identifier:
1760017
Grant/Contract Number:  
AC02-06CH11357; NAS 5-26555; 639.043.512
Resource Type:
Accepted Manuscript
Journal Name:
Astronomy and Astrophysics
Additional Journal Information:
Journal Volume: 640; Journal ID: ISSN 0004-6361
Publisher:
EDP Sciences
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; cosmology: observations; dark matter; globular clusters: general; gravitational lensing: weak

Citation Formats

Hernández-Martín, B., Schrabback, T., Hoekstra, H., Martinet, N., Hlavacek-Larrondo, J., Bleem, L. E., Gladders, M. D., Stalder, B., Stark, A. A., and Bayliss, M. Constraining the masses of high-redshift clusters with weak lensing: Revised shape calibration testing for the impact of stronger shears and increased blending. United States: N. p., 2020. Web. doi:10.1051/0004-6361/202037844.
Hernández-Martín, B., Schrabback, T., Hoekstra, H., Martinet, N., Hlavacek-Larrondo, J., Bleem, L. E., Gladders, M. D., Stalder, B., Stark, A. A., & Bayliss, M. Constraining the masses of high-redshift clusters with weak lensing: Revised shape calibration testing for the impact of stronger shears and increased blending. United States. https://doi.org/10.1051/0004-6361/202037844
Hernández-Martín, B., Schrabback, T., Hoekstra, H., Martinet, N., Hlavacek-Larrondo, J., Bleem, L. E., Gladders, M. D., Stalder, B., Stark, A. A., and Bayliss, M. Wed . "Constraining the masses of high-redshift clusters with weak lensing: Revised shape calibration testing for the impact of stronger shears and increased blending". United States. https://doi.org/10.1051/0004-6361/202037844. https://www.osti.gov/servlets/purl/1760017.
@article{osti_1760017,
title = {Constraining the masses of high-redshift clusters with weak lensing: Revised shape calibration testing for the impact of stronger shears and increased blending},
author = {Hernández-Martín, B. and Schrabback, T. and Hoekstra, H. and Martinet, N. and Hlavacek-Larrondo, J. and Bleem, L. E. and Gladders, M. D. and Stalder, B. and Stark, A. A. and Bayliss, M.},
abstractNote = {Weak lensing measurements suffer from well-known shear estimation biases, which can be partially corrected for with the use of image simulations. Here we present an analysis of simulated images that mimic Hubble Space Telescope/Advance Camera for Surveys observations of high-redshift galaxy clusters, including cluster specific issues such as non-weak shear and increased blending. Our synthetic galaxies have been generated to have similar observed properties as the background-selected source samples studied in the real images. First, we used simulations with galaxies placed on a grid to determine a revised signal-to-noise-dependent (S/NKSB) correction for multiplicative shear measurement bias, and to quantify the sensitivity of our KSB+ bias calibration to mismatches of galaxy or PSF properties between the real data and the simulations. Next, we studied the impact of increased blending and light contamination from cluster and foreground galaxies, finding it to be negligible for high-redshift (z > 0.7) clusters, whereas shear measurements can be affected at the ~1% level for lower redshift clusters given their brighter member galaxies. Finally, we studied the impact of fainter neighbours and selection bias using a set of simulated images that mimic the positions and magnitudes of galaxies in Cosmic Assembly Near-IR Deep Extragalactic Legacy Survey (CANDELS) data, thereby including realistic clustering. While the initial SExtractor object detection causes a multiplicative shear selection bias of –0.028 ± 0.002, this is reduced to –0.016 ± 0.002 by further cuts applied in our pipeline. Given the limited depth of the CANDELS data, we compared our CANDELS-based estimate for the impact of faint neighbours on the multiplicative shear measurement bias to a grid-based analysis, to which we added clustered galaxies to even fainter magnitudes based on Hubble Ultra Deep Field data, yielding a refined estimate of ~ –0.013. Our sensitivity analysis suggests that our pipeline is calibrated to an accuracy of ~0.015 once all corrections are applied, which is fully sufficient for current and near-future weak lensing studies of high-redshift clusters. As an application, we used it for a refined analysis of three highly relaxed clusters from the South Pole Telescope Sunyaev-Zeldovich survey, where we now included measurements down to the cluster core (r > 200 kpc) as enabled by our work. Compared to previously employed scales (r > 500 kpc), this tightens the cluster mass constraints by a factor 1.38 on average.},
doi = {10.1051/0004-6361/202037844},
journal = {Astronomy and Astrophysics},
number = ,
volume = 640,
place = {United States},
year = {Wed Aug 26 00:00:00 EDT 2020},
month = {Wed Aug 26 00:00:00 EDT 2020}
}

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