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PreprintarXiv licencearXiv

A posteriori correction of Gaia CRF proper motions using conditional probability and zero-parallax prior

Abstract

The formal precision of Gaia CRF proper motions, and in principle positions, can be statistically improved by introducing conditional probability based on the zero-parallax prior for these extremely distant sources. The method developed in this study produces statistically conditioned proper-motion estimates under the assumed per-source Gaussian covariance model. It is demonstrated that thus corrected proper motion vectors of 1.2 million CRF objects in Gaia DR3 show a tighter distribution around zero and a general reduction in the rate of outliers by approximately 15\%. A general vector spherical harmonic fit to degree 4 is produced with the corrected data for a filtered subset of CRF quasars with redshifts between 1 and 1.5. This application, predicated on the unknown stochastic component of the global parallax field, shows a 3-sigma change in the estimated magnitude of the Galactocentric acceleration of the solar system barycenter, quantifying the sensitivity of this fundamental determination to the proposed conditioning of proper motions.

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BibTeX
@misc{makarov2026posteriori,
  title = {{A posteriori correction of Gaia CRF proper motions using conditional probability and zero-parallax prior}},
  author = {Valeri V. Makarov},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2608.16767},
  eprint = {2608.16767},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.16767},
}
RIS
TY  - UNPB
TI  - A posteriori correction of Gaia CRF proper motions using conditional probability and zero-parallax prior
AU  - Valeri V. Makarov
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2608.16767
UR  - https://arxiv.org/abs/2608.16767
AB  - The formal precision of Gaia CRF proper motions, and in principle positions, can be statistically improved by introducing conditional probability based on the zero-parallax prior for these extremely distant sources. The method developed in this study produces statistically conditioned proper-motion estimates under the assumed per-source Gaussian covariance model. It is demonstrated that thus corrected proper motion vectors of 1.2 million CRF objects in Gaia DR3 show a tighter distribution around zero and a general reduction in the rate of outliers by approximately 15\%. A general vector spherical harmonic fit to degree 4 is produced with the corrected data for a filtered subset of CRF quasars with redshifts between 1 and 1.5. This application, predicated on the unknown stochastic component of the global parallax field, shows a 3-sigma change in the estimated magnitude of the Galactocentric acceleration of the solar system barycenter, quantifying the sensitivity of this fundamental determination to the proposed conditioning of proper motions.
ER  -