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arXiv 2502.08068astro-ph.SR

盖亚数据发布3在亮星等下的视差偏差分析

Analysis of the Gaia Data Release 3 parallax bias at bright magnitudes

Ye Ding, Shilong Liao, Shangyu Wen, Zhaoxiang Qi

AI总结:

该研究利用双星系统的轨道视差检验盖亚DR3在亮星等(G<13)下的视差零点偏移,通过筛选样本得出亮星存在显著偏差且形式不确定度被低估的结论,为未来盖亚数据验证提供资源。

摘要:

双星系统中视轨道与分光轨道的结合无需额外假设即可实现精确距离测量,使其成为检验盖亚(Gaia)中亮星等(G < 13)下视差零点偏移(PZPO)的理想工具。我们从246个双星系统中汇编了249个轨道视差,并使用马尔可夫链蒙特卡罗(MCMC)模拟排除轨道运动对视差有显著影响的双星。在去除视差误差较大、轨道视差与盖亚视差差异显著的系统,并选择轨道周期小于100天的系统后,最终保留了44个双星样本。该样本的加权平均PZPO为-38.9 ± 10.3微角秒(μas),而其余系统为-58.0 ± 10.1 μas,表明轨道运动对视差测量有显著影响。PZPO的形式不确定度似乎被低估了约2.0倍。对于具有VLBI和HST独立三角视差的亮星,加权平均PZPO分别为-14.8 ± 10.6和-31.9 ± 14.1 μas。G ≤ 8的恒星表现出更明显的视差偏差,部分目标偏差异常大,可能是由于盖亚对亮星的系统校准误差所致。本工作汇编的轨道视差数据集是未来盖亚数据发布中验证视差的重要资源。

英文摘要:

The combination of visual and spectroscopic orbits in binary systems enables precise distance measurements without additional assumptions, making them ideal for examining the parallax zero-point offset (PZPO) at bright magnitudes (G < 13) in Gaia. We compiled 249 orbital parallaxes from 246 binary systems and used Markov Chain Monte Carlo (MCMC) simulations to exclude binaries where orbital motion significantly impacts parallaxes. After removing systems with substantial parallax errors, large discrepancies between orbital and Gaia parallaxes, and selecting systems with orbital periods under 100 days, a final sample of 44 binaries was retained.The weighted mean PZPO for this sample is -38.9 $\pm$ 10.3 $μ$as, compared to -58.0 $\pm$ 10.1 $μ$as for the remaining systems, suggesting that orbital motion significantly affects parallax measurements. These formal uncertainties of the PZPO appear to be underestimated by a factor of approximately 2.0. For bright stars with independent trigonometric parallaxes from VLBI and HST, the weighted mean PZPOs are -14.8 $\pm$ 10.6 and -31.9 $\pm$ 14.1 $μ$as, respectively. Stars with $G \leq 8$ exhibit a more pronounced parallax bias, with some targets showing unusually large deviations, likely due to systematic calibration errors in Gaia for bright stars. The orbital parallaxes dataset compiled in this work serves as a vital resource for validating parallaxes in future Gaia data releases.

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