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Title: Separating the intrinsic alignment signal and the lensing signal using self-calibration in photo- z surveys with KiDS450 and KV450 Data

Abstract

ABSTRACT To reach the full potential for the next generation of weak lensing surveys, it is necessary to mitigate the contamination of intrinsic alignments (IAs) of galaxies in the observed cosmic shear signal. The self-calibration (SC) of IAs provides an independent method to measure the IA signal from the survey data and the photometric redshift information. It operates differently from the marginalization method based on the IA modelling. In this work, we present the first application of SC to the KiDS450 data and the KV450 data, to split directly the intrinsic shape–galaxy density (Ig) correlation signal and the gravitational shear–galaxy density (Gg) correlation signal, using the information from photometric redshift (photo-z). We achieved a clear separation of the two signals and performed several validation tests. Our measured signals are found to be in general agreement with the KiDS450 cosmic shear best-fitting cosmology, for both lensing and IA measurements. For KV450, we use partial (high-z) data, and our lensing measurements are also in good agreement with KV450 cosmic shear best fit, while our IA signal suggests a larger IA amplitude for the high-z sample. We discussed the impact of photo-z quality on IA detection and several other potential systematic biases. Finally,more » we discuss the potential application of the information extracted for both the lensing signal and the IA signal in future surveys.« less

Authors:
ORCiD logo [1];  [2];  [2];  [3];  [2];  [4];  [5]
  1. Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China, Department of Physics, The University of Texas at Dallas, Dallas, TX 75080, USA
  2. Department of Physics, The University of Texas at Dallas, Dallas, TX 75080, USA
  3. Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China, Tsung-Dao Lee Institute, Shanghai 200240, People’s Republic of China, Shanghai Key Laboratory for Particle Physics and Cosmology, Shanghai 200240, People’s Republic of China
  4. Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
  5. Shanghai Astronomical Observatory (SHAO), Nandan Road 80, Shanghai 200030, People’s Republic of China
Publication Date:
Research Org.:
Univ. of Texas at Dallas, Richardson, TX (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1632214
Alternate Identifier(s):
OSTI ID: 1803622
Grant/Contract Number:  
SC0019206
Resource Type:
Published Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 495 Journal Issue: 4; Journal ID: ISSN 0035-8711
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; Astronomy & Astrophysics; gravitational lensing: weak; cosmology: observations; large-scale structure of Universe

Citation Formats

Yao, Ji, Pedersen, Eske M., Ishak, Mustapha, Zhang, Pengjie, Agashe, Anish, Xu, Haojie, and Shan, Huanyuan. Separating the intrinsic alignment signal and the lensing signal using self-calibration in photo- z surveys with KiDS450 and KV450 Data. United Kingdom: N. p., 2020. Web. doi:10.1093/mnras/staa1354.
Yao, Ji, Pedersen, Eske M., Ishak, Mustapha, Zhang, Pengjie, Agashe, Anish, Xu, Haojie, & Shan, Huanyuan. Separating the intrinsic alignment signal and the lensing signal using self-calibration in photo- z surveys with KiDS450 and KV450 Data. United Kingdom. https://doi.org/10.1093/mnras/staa1354
Yao, Ji, Pedersen, Eske M., Ishak, Mustapha, Zhang, Pengjie, Agashe, Anish, Xu, Haojie, and Shan, Huanyuan. Fri . "Separating the intrinsic alignment signal and the lensing signal using self-calibration in photo- z surveys with KiDS450 and KV450 Data". United Kingdom. https://doi.org/10.1093/mnras/staa1354.
@article{osti_1632214,
title = {Separating the intrinsic alignment signal and the lensing signal using self-calibration in photo- z surveys with KiDS450 and KV450 Data},
author = {Yao, Ji and Pedersen, Eske M. and Ishak, Mustapha and Zhang, Pengjie and Agashe, Anish and Xu, Haojie and Shan, Huanyuan},
abstractNote = {ABSTRACT To reach the full potential for the next generation of weak lensing surveys, it is necessary to mitigate the contamination of intrinsic alignments (IAs) of galaxies in the observed cosmic shear signal. The self-calibration (SC) of IAs provides an independent method to measure the IA signal from the survey data and the photometric redshift information. It operates differently from the marginalization method based on the IA modelling. In this work, we present the first application of SC to the KiDS450 data and the KV450 data, to split directly the intrinsic shape–galaxy density (Ig) correlation signal and the gravitational shear–galaxy density (Gg) correlation signal, using the information from photometric redshift (photo-z). We achieved a clear separation of the two signals and performed several validation tests. Our measured signals are found to be in general agreement with the KiDS450 cosmic shear best-fitting cosmology, for both lensing and IA measurements. For KV450, we use partial (high-z) data, and our lensing measurements are also in good agreement with KV450 cosmic shear best fit, while our IA signal suggests a larger IA amplitude for the high-z sample. We discussed the impact of photo-z quality on IA detection and several other potential systematic biases. Finally, we discuss the potential application of the information extracted for both the lensing signal and the IA signal in future surveys.},
doi = {10.1093/mnras/staa1354},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 4,
volume = 495,
place = {United Kingdom},
year = {Fri May 15 00:00:00 EDT 2020},
month = {Fri May 15 00:00:00 EDT 2020}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1093/mnras/staa1354

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Cited by: 8 works
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