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相关论文: The parallax zero point offset from Gaia EDR3 data

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We have studied the zero-point offset of Gaia early Data Release 3 (EDR3) parallaxes based on a sample of 0.3 million giant stars built from the LAMOST data with distance accuracy better than 8.5\%. The official parallax zero-point…

太阳与恒星天体物理 · 物理学 2022-03-14 Chun Wang , Haibo Yuan , Yang Huang

Gaia Early Data Release 3 (Gaia EDR3) gives trigonometric parallaxes for nearly 1.5 billion sources. Inspection of the EDR3 data for sources identified as quasars reveals that their parallaxes are biased, that is systematically offset from…

We present an independent examination of the parallax zero-point of the Third Gaia Early Data Release (hereafter EDR3), using the LAMOST primary red clump (PRC) stellar sample. A median parallax offset of around $26 \mu$as, slightly larger…

星系天体物理 · 物理学 2021-03-31 Yang Huang , Haibo Yuan , Timothy C. Beers , Huawei Zhang

We test the parallaxes reported in the Gaia first data release using the sample of eclipsing binaries with accurate, empirical distances from Stassun \& Torres (2016). We find an average offset of $-$0.25$\pm$0.05 mas in the sense of the…

太阳与恒星天体物理 · 物理学 2020-02-19 Keivan G. Stassun , Guillermo Torres

We independently determine the zero-point offset of the Gaia early Data Release-3 (EDR3) parallaxes based on $\sim 110,000$ W Ursae Majoris (EW)-type eclipsing binary systems. EWs cover almost the entire sky and are characterized by a…

太阳与恒星天体物理 · 物理学 2021-04-28 Fangzhou Ren , Xiaodian Chen , Huawei Zhang , Richard de Grijs , Licai Deng , Yang Huang

We present evidence for a spatially-dependent systematic error in the first data release of ${\it Gaia}$ parallaxes based on comparisons to asteroseismic parallaxes in the ${\it Kepler}$ field, and present a parametrized model of the…

太阳与恒星天体物理 · 物理学 2017-08-09 Joel C. Zinn , Daniel Huber , Marc H. Pinsonneault , Dennis Stello

The systematic errors are inevitable in Gaia published astrometric data. Lindegren et al. (L21) proposed a global recipe to correct for the GEDR3 parallax zero point offset, which did not consider the Galactic plane. The applicability of…

天体物理仪器与方法 · 物理学 2024-09-25 Ye Ding , Shilong Liao , Qiqi Wu , Zhaoxiang Qi , Zhenghong Tang

CONTEXT. The Gaia EDR3 parallaxes constitute the most detailed and accurate dataset that can be currently used to determine stellar distances in the solar neighborhood. Nevertheless, there is still room for improvement in their calibration…

天体物理仪器与方法 · 物理学 2022-01-26 J. Maíz Apellániz

The Gaia Early Data Release 3 (EDR3) provides trigonometric parallaxes for 1.5 billion stars, with reduced systematics compared to Gaia Data Release 2 and reported precisions better by up to a factor of two. New to EDR3 is a tentative model…

星系天体物理 · 物理学 2021-04-28 Joel C. Zinn

We present an independent confirmation of the zero-point offset of ${\rm \it Gaia}$ Data Release 2 (DR2) parallaxes using asteroseismic data of evolved stars in the ${\rm \it Kepler}$ field. Using well-characterized red giant branch (RGB)…

太阳与恒星天体物理 · 物理学 2019-07-03 Joel C. Zinn , Marc H. Pinsonneault , Daniel Huber , Dennis Stello

By comparing Cepheid brightnesses with geometric distance measures including Gaia EDR3 parallaxes, most recent analyses conclude metal-rich Cepheids are brighter, quantified as $\gamma \sim -0.2$ mag/dex. While the value of $\gamma$ has…

We analyse Gaia EDR3 parallax systematics as a function of magnitude and sky location using a recently published catalogue of 12,500 asteroseismic red-giant star distances. We selected ~ 3500 red clump (RC) stars of similar chemical…

太阳与恒星天体物理 · 物理学 2023-12-20 Saniya Khan , Richard I. Anderson , Andrea Miglio , Benoît Mosser , Yvonne P. Elsworth

We use 612 single stars with previously published trigonometric parallaxes placing them within 25 pc to evaluate parallaxes released in Gaia's first data release (DR1). We find that the Gaia parallaxes are, on average, $0.24 \pm 0.02$ mas…

太阳与恒星天体物理 · 物理学 2016-11-23 Wei-Chun Jao , Todd J. Henry , Adric R. Riedel , Jennifer G. Winters , Kenneth J. Slatten , Douglas R. Gies

CONTEXT. Gaia EDR3 has produced parallaxes for 1.468x10^9 sources but there are calibration issues that require corrections to the published values and uncertainties. AIMS. We want to characterize the behavior of the uncertainties of the…

天体物理仪器与方法 · 物理学 2021-04-28 J. Maíz Apellániz , M. Pantaleoni González , R. H. Barbá

Gaia Early Data Release 3 (Gaia EDR3) contains results for 1.812 billion sources in the magnitude range G = 3 to 21 based on observations collected by the European Space Agency Gaia satellite during the first 34 months of its operational…

The systematic offset of Gaia parallaxes has been widely reported with Gaia's second data release, and it is expected to persist in future Gaia data. In order to use Gaia parallaxes to infer distances to high precision, we develop a…

太阳与恒星天体物理 · 物理学 2020-03-24 Victor C. Chan , Jo Bovy

Previous analyses of various standard candles observed by the Gaia satellite have reported statistically significant systematics in the parallaxes that have improved from $\sim$250 $\mu$as in the first data release (DR1) to 50--80 $\mu$as…

太阳与恒星天体物理 · 物理学 2021-02-10 Keivan G. Stassun , Guillermo Torres

Gaia Data Release 2 (Gaia DR2) contains results for 1693 million sources in the magnitude range 3 to 21 based on observations collected by the European Space Agency Gaia satellite during the first 22 months of its operational phase. We…

Determination of absolute parallaxes by means of a scanning astrometric satellite such as Hipparcos or Gaia relies on the short-term stability of the so-called basic angle between the two viewing directions. Uncalibrated variations of the…

天体物理仪器与方法 · 物理学 2017-07-05 Alexey G. Butkevich , Sergei A. Klioner , Lennart Lindegren , David Hobbs , Floor van Leeuwen

We derive Bayesian distances for all stars in the RV sample of Gaia DR2, and use the statistical method of Schoenrich, Binney & Asplund(2012) to validate the distances and test the Gaia parallaxes. In contrast to other methods, which rely…

星系天体物理 · 物理学 2019-06-05 Ralph Schönrich , Paul McMillan , Laurent Eyer
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