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Prospects for weighing neutrinos in interacting dark energy models using joint observations of gravitational waves andγ-ray bursts

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摘要 Cosmological observations can be used to weigh neutrinos,but this method is model-dependent,with results relying on the cosmological model considered.If we consider interactions between dark energy and dark matter,the neutrino mass constraints differ from those derived under the standard model.On the contrary,gravitational wave(GW)standard siren observations can measure absolute cosmological distances,helping to break parameter degeneracies inherent in traditional cosmological observations,thereby improving constraints on neutrino mass.This paper examines the constraints on neutrino mass within interacting dark energy(IDE)models and explores how future GW standard siren observations could enhance these results.For multi-messenger GW observations,we consider the joint observations of binary neutron star mergers by third-generation ground-based GW detectors and shortγ-ray burst observations by missions similar to the THESEUS satellite project.Using current cosmological observations(CMB+BAO+SN),we obtain an upper limit on the neutrino mass in the IDE models of 0.15(or 0.16)eV.With the inclusion of GW data,the upper limit on the neutrino mass improves to 0.14 eV.This indicates that in the context of IDE models,the improvement in neutrino mass constraints from GW observations is relatively limited.However,GW observations significantly enhance the constraints on other cosmological parameters,such as matter density parameter,the Hubble constant,and coupling strength between dark energy and dark matter.
作者 Lu Feng Tao Han Jing-Fei Zhang Xin Zhang 冯露;韩涛;张敬飞;张鑫(College of Physical Science and Technology,Shenyang Normal University,Shenyang 110034,China;Key Laboratory of Cosmology and Astrophysics(Liaoning Province)&Department of Physics,College of Sciences,Northeastern University,Shenyang 110819,China;Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education),Northeastern University,Shenyang 110819,China;National Frontiers Science Center for Industrial Intelligence and Systems Optimization,Northeastern University,Shenyang 110819,China)
出处 《Chinese Physics C》 SCIE CAS CSCD 2024年第9期225-233,共9页 中国物理C(英文版)
基金 Supported by the National Natural Science Foundation of China(12305069,11947022,11975072,11875102,11835009) the National SKA Program of China(2022SKA0110200,2022SKA0110203) the National 111 Project(B16009) the Program of the Education Department of Liaoning Province,China(JYTMS20231695)。
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