AI 中文总结
本研究利用条件概率与零视差先验校正Gaia CRF自行，使120万DR3天体异常值降约15%，相关拟合还显示太阳系质心银心加速度估计有3σ变化，验证了校正方法的敏感性。
AI 中文摘要
引入基于极遥远源零视差先验知识的条件概率，可从统计上提升盖亚天球参考架（Gaia CRF）星表给出的自行与位置的精度。本研究开发的方法在假设每个源的高斯协方差模型下，生成经统计条件化的自行估计值。结果表明，盖亚DR3中120万个CRF天体经如此校正后的自行矢量围绕零值的分布更紧凑，异常值比例总体降低约15%。针对红移在1至1.5之间的CRF类星体过滤子集，利用校正后的数据进行了至4阶的一般矢量球谐拟合。该应用基于全局视差场的未知随机分量，显示太阳系质心的银心加速度估计幅度发生了3σ变化，量化了这一基本测定对所提出自行条件化方法的敏感性。
英文摘要
Precision of proper motions and positions given in the Gaia Celestial Reference Frame (CRF) catalog can be statistically improved introducing conditional probability based on the prior knowledge of zero parallax 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.
CommentsSubmitted, under review, version 4
