English

Gaia EDR3 Parallax Zero-point Offset based on W Ursae Majoris-type Eclipsing Binaries

Solar and Stellar Astrophysics 2021-04-28 v1 Astrophysics of Galaxies

Abstract

We independently determine the zero-point offset of the Gaia early Data Release-3 (EDR3) parallaxes based on 110,000\sim 110,000 W Ursae Majoris (EW)-type eclipsing binary systems. EWs cover almost the entire sky and are characterized by a relatively complete coverage in magnitude and color. They are an excellent proxy for Galactic main-sequence stars. We derive a W1W1-band Period-Luminosity relation with a distance accuracy of 7.4%7.4\%, which we use to anchor the Gaia parallax zero-point. The final, global parallax offsets are 28.6±0.6-28.6\pm0.6 μ\muas and 25.4±4.0-25.4\pm4.0 μ\muas (before correction) and 4.2±0.54.2\pm0.5 μ\muas and 4.6±3.74.6\pm3.7 μ\muas (after correction) for the five- and six-parameter solutions, respectively. The total systematic uncertainty is 1.81.8 μ\muas. The spatial distribution of the parallax offsets shows that the bias in the corrected Gaia EDR3 parallaxes is less than 10 μ\muas across 40%40\% of the sky. Only 15%15\% of the sky is characterized by a parallax offset greater than 30 μ\muas. Thus, we have provided independent evidence that the parallax zero-point correction provided by the Gaia team significantly reduces the prevailing bias. Combined with literature data, we find that the overall Gaia EDR3 parallax offsets for Galactic stars are [20,30][-20, -30] μ\muas and 4-10 μ\muas, respectively, before and after correction. For specific regions, an additional deviation of about 10 μ\muas is found.

Keywords

Cite

@article{arxiv.2103.16096,
  title  = {Gaia EDR3 Parallax Zero-point Offset based on W Ursae Majoris-type Eclipsing Binaries},
  author = {Fangzhou Ren and Xiaodian Chen and Huawei Zhang and Richard de Grijs and Licai Deng and Yang Huang},
  journal= {arXiv preprint arXiv:2103.16096},
  year   = {2021}
}

Comments

7 pages, 4 figures. Accepted for publication in The Astrophysical Journal Letters

R2 v1 2026-06-24T00:40:44.638Z