PAPER / ARXIV:2609.13681
X.-X. Zhang (1,2), N. Liu (1,2), S. B. Lambert (3), K. Le Bail (4), H. Krásná (5), O. Titov (6,7), M. Karbon (8), T. Nilsson (9,4), Z. Zhu (1,2,10), J.-C. Liu (1,2), I. N. Huda (11), J. Yang (4), X.-P. Cheng (12), B.-W. Sohn (12,13), F.-C. Shu (6,14), X. He (6,15), Z.-W. Wang (1,2), Z.-Y. Zhang (1,2), H.-F. Yu (1,2), J. Yao (1,2), D.-D. Zhang (1,2) ((1) School of Astronomy and Space Science, Nanjing University, Nanjing, China, (2) Key Laboratory of Modern Astronomy and Astrophysics (Ministry of Education), Nanjing University, Nanjing, China, (3) LTE, Observatoire de Paris, Université PSL, CNRS UMR8255, Sorbonne Université, Université de Lille, LNE, Paris, France, (4) Department of Physics and Astronomy, Onsala Space Observatory, Chalmers University of Technology, Onsala, Sweden, (5) TU Wien, Department of Geodesy and Geoinformation, Vienna, Austria, (6) Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China, (7) Phase&Rate, Canberra, Australia, (8) UAVAC, Dept. of Applied Mathematics and Aerospace Engineering, University of Alicante, Spain, (9) Lantmäteriet - The Swedish mapping, cadastral and land registration authority, Gävle, Sweden, (10) University of Chinese Academy of Sciences, Nanjing, China, (11) Research Center for Computing, National Research and Innovation Agency, Bandung, Indonesia, (12) Korea Astronomy and Space Science Institute, Daejeon, Republic of Korea, (13) University of Science and Technology, Daejeon, Republic of Korea, (14) Shanghai Key Laboratory of Space Navigation and Positioning Techniques, Shanghai, China, (15) University of Chinese Academy of Sciences, Beijing, China)
RESUMO
Coordinate time series of extragalactic radio sources from very long baseline interferometry observations are widely used to evaluate source positional stability, select stable sources for celestial reference frames, assess reference-frame axis stability, and investigate source-related astrometric variability. Their external consistency, realistic errors, and relation to processing strategies and analysis configurations remain to be investigated. We aim to compare coordinate time series solutions from different analysis centers and investigate how processing strategies and configurations contribute to their differences. We collected eight solutions from seven analysis centers and selected 496 common sources after data selection, reference-frame alignment, and extraction of common observing sessions. Inter-solution differences were characterized with pairwise positional offsets and correlation analysis, and realistic positional errors with the N-cornered-hat (NCH) method and bootstrap resampling. Most solutions have median weighted root mean square (WRMS) values of a few hundred microarcseconds $(\mathrm{\mu as})$, and the median NCH-derived precision is about 200-300 $\mathrm{\mu as}$ in right ascension and 250-400 $\mathrm{\mu as}$ in declination. Solutions with similar strategies, software, or source constraints show higher consistency, with more similar WRMS values, stronger correlations, and closer precision estimates. Consistency is affected not only by the global or independent mode distinction but also by detailed analysis configuration. NCH-derived precision depends on declination, being poorer in the southern sky, and stabilizes with more observing sessions. Processing strategies and configurations introduce marginal differences; solutions remain generally consistent. Inter-solution comparisons independently estimate realistic stochastic errors beyond formal errors.
NO MESMO MAPA