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A dynamical approach in exploring the unknown mass in the Solar system using pulsar timing arrays
Guo, Y. J.1; Lee, K. J.1,2; Caballero, R. N.3
2018-04-01
Source PublicationMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
ISSN0035-8711
Volume475Issue:3Pages:3644-3653
AbstractThe error in the Solar system ephemeris will lead to dipolar correlations in the residuals of pulsar timing array for widely separated pulsars. In this paper, we utilize such correlated signals, and construct a Bayesian data-analysis framework to detect the unknown mass in the Solar system and to measure the orbital parameters. The algorithm is designed to calculate the waveform of the induced pulsar-timing residuals due to the unmodelled objects following the Keplerian orbits in the Solar system. The algorithm incorporates a Bayesian-analysis suit used to simultaneously analyse the pulsar-timing data of multiple pulsars to search for coherent waveforms, evaluate the detection significance of unknown objects, and to measure their parameters. When the object is not detectable, our algorithm can be used to place upper limits on the mass. The algorithm is verified using simulated data sets, and cross-checked with analytical calculations. We also investigate the capability of future pulsar-timing-array experiments in detecting the unknown objects. We expect that the future pulsar-timing data can limit the unknown massive objects in the Solar system to be lighter than 10(-11)-10(-12) M-circle dot or measure the mass of Jovian system to a fractional precision of 10(-8)-10(-9).
Keywordmethods: data analysis minor planets, asteroids: general pulsars: general
Funding OrganizationNational Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; National Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; National Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; National Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase)
DOI10.1093/mnras/stx3326
WOS KeywordDATA RELEASE ; DARK-MATTER ; CONSTRAINTS ; ASTROMETRY ; PLANETS ; PACKAGE ; TEMPO2 ; LIMITS ; NOISE ; MODEL
Language英语
Funding ProjectNational Basic Research Program of China[XDB23010200] ; 973 Program[2015CB857101] ; NSFC[U15311243] ; NSFC[11690024] ; NSFC[11373011] ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase)[U1501501]
Funding OrganizationNational Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; National Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; National Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; National Basic Research Program of China ; National Basic Research Program of China ; 973 Program ; 973 Program ; NSFC ; NSFC ; MPG ; MPG ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase) ; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund (the second phase)
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000427141900055
PublisherOXFORD UNIV PRESS
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Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/37163
Collection中国科学院国家天文台
Corresponding AuthorLee, K. J.
Affiliation1.Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
3.Max Planck Inst Radioastron, Hugel 69, D-53121 Bonn, Germany
Recommended Citation
GB/T 7714
Guo, Y. J.,Lee, K. J.,Caballero, R. N.. A dynamical approach in exploring the unknown mass in the Solar system using pulsar timing arrays[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2018,475(3):3644-3653.
APA Guo, Y. J.,Lee, K. J.,&Caballero, R. N..(2018).A dynamical approach in exploring the unknown mass in the Solar system using pulsar timing arrays.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,475(3),3644-3653.
MLA Guo, Y. J.,et al."A dynamical approach in exploring the unknown mass in the Solar system using pulsar timing arrays".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 475.3(2018):3644-3653.
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