Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae

We present a comprehensive test of the cosmic distance duality relation (DDR) using a combination of strong gravitational lensing (SGL) time delay measurements and Type Ia supernovae (SNe Ia) data. We investigate three different parameterizations of potential DDR violations. To bridge the gap betwee...

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Main Authors: Jing-Zhao Qi, Yi-Fan Jiang, Wan-Ting Hou, Xin Zhang
Formato: Artigo
Idioma:English
Publicado em: IOP Publishing 2025-01-01
Colecção:The Astrophysical Journal
Assuntos:
Acesso em linha:https://doi.org/10.3847/1538-4357/ad9de4
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author Jing-Zhao Qi
Yi-Fan Jiang
Wan-Ting Hou
Xin Zhang
author_facet Jing-Zhao Qi
Yi-Fan Jiang
Wan-Ting Hou
Xin Zhang
author_sort Jing-Zhao Qi
collection DOAJ
description We present a comprehensive test of the cosmic distance duality relation (DDR) using a combination of strong gravitational lensing (SGL) time delay measurements and Type Ia supernovae (SNe Ia) data. We investigate three different parameterizations of potential DDR violations. To bridge the gap between SGL and SNe Ia data sets, we implement an artificial neural network approach to reconstruct the distance modulus of SNe Ia. Our analysis uniquely considers both scenarios where the absolute magnitude of SNe Ia ( M _B ) is treated as a free parameter and where it is fixed to a Cepheid-calibrated value. Using a sample of six SGL systems and the Pantheon+ SNe Ia data set, we find no statistically significant evidence for DDR violations across all parameterizations. The consistency of our findings across different parameterizations not only reinforces confidence in the standard DDR but also demonstrates the robustness of our analytical approach.
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spelling doaj.art-2b66b51a966a43839d7939bbde01c7a52025-01-14T06:20:23ZengIOP PublishingThe Astrophysical Journal1538-43572025-01-019791210.3847/1538-4357/ad9de4Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia SupernovaeJing-Zhao Qi0https://orcid.org/0000-0001-7492-874XYi-Fan Jiang1Wan-Ting Hou2Xin Zhang3https://orcid.org/0000-0002-6029-1933Department of Physics, College of Sciences, Northeastern University , Shenyang 110819, People’s Republic of China ; zhangxin@mail.neu.edu.cnDepartment of Physics, College of Sciences, Northeastern University , Shenyang 110819, People’s Republic of China ; zhangxin@mail.neu.edu.cnSchool of Mathematics and Statistics, Liaoning University , Shenyang 110819, People’s Republic of ChinaDepartment of Physics, College of Sciences, Northeastern University , Shenyang 110819, People’s Republic of China ; zhangxin@mail.neu.edu.cn; Key Laboratory of Cosmology and Astrophysics (Liaoning Province), Northeastern University , Shenyang 110819, People’s Republic of China; Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education), Northeastern University , Shenyang 110819, People’s Republic of China; National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University , Shenyang 110819, People’s Republic of ChinaWe present a comprehensive test of the cosmic distance duality relation (DDR) using a combination of strong gravitational lensing (SGL) time delay measurements and Type Ia supernovae (SNe Ia) data. We investigate three different parameterizations of potential DDR violations. To bridge the gap between SGL and SNe Ia data sets, we implement an artificial neural network approach to reconstruct the distance modulus of SNe Ia. Our analysis uniquely considers both scenarios where the absolute magnitude of SNe Ia ( M _B ) is treated as a free parameter and where it is fixed to a Cepheid-calibrated value. Using a sample of six SGL systems and the Pantheon+ SNe Ia data set, we find no statistically significant evidence for DDR violations across all parameterizations. The consistency of our findings across different parameterizations not only reinforces confidence in the standard DDR but also demonstrates the robustness of our analytical approach.https://doi.org/10.3847/1538-4357/ad9de4CosmologyCosmological parametersStrong gravitational lensing
spellingShingle Jing-Zhao Qi
Yi-Fan Jiang
Wan-Ting Hou
Xin Zhang
Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae
The Astrophysical Journal
Cosmology
Cosmological parameters
Strong gravitational lensing
title Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae
title_full Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae
title_fullStr Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae
title_full_unstemmed Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae
title_short Testing the Cosmic Distance Duality Relation Using Strong Gravitational Lensing Time Delays and Type Ia Supernovae
title_sort testing the cosmic distance duality relation using strong gravitational lensing time delays and type ia supernovae
topic Cosmology
Cosmological parameters
Strong gravitational lensing
url https://doi.org/10.3847/1538-4357/ad9de4
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