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New graviton mass bound from binary pulsars
Shao, Lijing1,2,3; Wex, Norbert2; Zhou, Shuang-Yong4,5
2020-07-23
Source PublicationPHYSICAL REVIEW D
ISSN1550-7998
Volume102Issue:2Pages:14
AbstractIn Einstein's general relativity, gravity is mediated by a massless metric field. The extension of general relativity to consistently include a mass for the graviton has profound implications for gravitation and cosmology. Salient features of various massive gravity theories can be captured by Galileon models, the simplest of which is the cubic Galileon. The presence of the Galileon field leads to additional gravitational radiation in binary pulsars where the Vainshtein mechanism is less suppressed than its fifth-force counterpart, which deserves a detailed confrontation with observations. We prudently choose 14 well-timed binary pulsars, and from their intrinsic orbital decay rates we put a new bound on the graviton mass, m(g) less than or similar to 2 x 10(-28) eV/c(2) at the 95% confidence level, assuming a flat prior on ln m(g). It is equivalent to a bound on the graviton Compton wavelength lambda(g) greater than or similar to 7 x 10(21) m. Furthermore, we extensively simulate times of arrival for pulsars in orbit around stellar-mass black holes and the supermassive black hole at the Galactic Center, and we investigate their prospects of probing the cubic Galileon theory in the near future.
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC)
DOI10.1103/PhysRevD.102.024069
WOS KeywordBLACK HOLE BINARIES ; GENERAL-RELATIVITY ; WHITE-DWARF ; TESTS
Language英语
Funding ProjectNational Natural Science Foundation of China[11975027] ; National Natural Science Foundation of China[11991053] ; National Natural Science Foundation of China[11721303] ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology[2018QNRC001] ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; European Research Council (ERC)[610058] ; University of Science and Technology of China[KY2030000089] ; University of Science and Technology of China[GG2030040375] ; National Natural Science Foundation of China (NSFC)[11947301]
Funding OrganizationNational Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Young Elite Scientists Sponsorship Program by the China Association for Science and Technology ; Max Planck Partner Group Program - Max Planck Society ; Max Planck Partner Group Program - Max Planck Society ; High-Performance Computing Platform of Peking University ; High-Performance Computing Platform of Peking University ; European Research Council (ERC) ; European Research Council (ERC) ; University of Science and Technology of China ; University of Science and Technology of China ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC)
WOS Research AreaAstronomy & Astrophysics ; Physics
WOS SubjectAstronomy & Astrophysics ; Physics, Particles & Fields
WOS IDWOS:000551342300001
PublisherAMER PHYSICAL SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/82625
Collection中国科学院国家天文台
Corresponding AuthorShao, Lijing
Affiliation1.Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China
2.Max Planck Inst Radioastron, Hugel 69, D-53121 Bonn, Germany
3.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
4.Univ Sci & Technol China, Interdisciplinary Ctr Theoret Study, Hefei 230026, Anhui, Peoples R China
5.Peng Huanwu Ctr Fundamental Theory, Hefei 230026, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Shao, Lijing,Wex, Norbert,Zhou, Shuang-Yong. New graviton mass bound from binary pulsars[J]. PHYSICAL REVIEW D,2020,102(2):14.
APA Shao, Lijing,Wex, Norbert,&Zhou, Shuang-Yong.(2020).New graviton mass bound from binary pulsars.PHYSICAL REVIEW D,102(2),14.
MLA Shao, Lijing,et al."New graviton mass bound from binary pulsars".PHYSICAL REVIEW D 102.2(2020):14.
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