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

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Published 2021 April 16 © 2021. The American Astronomical Society. All rights reserved.
, , Citation Fangzhou Ren et al 2021 ApJL 911 L20 DOI 10.3847/2041-8213/abf359

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2041-8205/911/2/L20

Abstract

We independently determine the zero-point offset of the Gaia early Data Release-3 (EDR3) parallaxes based on ∼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 W1-band period–luminosity relation with a distance accuracy of 7.4%, which we use to anchor the Gaia parallax zero-point. The final, global parallax offsets are −28.6 ± 0.6 μas and −25.4 ± 4.0 μas (before correction) and 4.2 ± 0.5 μas and 4.6 ± 3.7 μas (after correction) for the five- and six-parameter solutions, respectively. The total systematic uncertainty is 1.8 μas. The spatial distribution of the parallax offsets shows that the bias in the corrected Gaia EDR3 parallaxes is less than 10 μas across 40% of the sky. Only 15% of the sky is characterized by a parallax offset greater than 30 μas. 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] μas and 4–10 μas, respectively, before and after correction. For specific regions, an additional deviation of about 10 μas is found.

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1. Introduction

Gaia's early third data release (EDR3; Gaia Collaboration et al. 2020) includes astrometric and photometric measurements of more than 1.81 billion sources brighter than G = 21 mag. More than 1.46 billion have triangulated parallax measurements with typical uncertainties of 0.03–1.3 mas for stars with 15 < G < 21 mag. Although the Gaia mission represents a leap forward for tests of stellar and Galactic astrophysics, systematic parallax errors are inevitably caused by imperfections in the instruments and data processing (Lindegren et al. 2020b). For small parallaxes, the effects of systematic errors are significant, which thus calls for examination of the Gaia EDR3 parallaxes using a variety of independent distance tracers.

Comparison of the Gaia catalog with other compilations is essential for evaluation of the data quality, and thus to understand Gaia's performance. Special attention has been paid to detecting possible biases. A parallax zero-point offset was noted from the first Gaia data release (Gaia Collaboration et al. 2016; Lindegren et al. 2016); it has since been confirmed (e.g., Jao et al. 2016; Stassun & Torres 2016). This offset persisted in Gaia DR2 (Gaia Collaboration et al. 2018), ranging from −29 μas to −80 μas (e.g., Zinn et al. 2019). Gaia EDR3 represents a significant improvement with respect to Gaia DR2 (Fabricius et al. 2020) as regards the resulting parallaxes, astrometric parameters, and parallax zero-point corrections.

Lindegren et al. (2020a) published a formal procedure to remove the parallax zero-point offset, which is a function of stellar magnitude, color, and spatial position. Their correction was based on quasars distributed across the entire sky, stars in the Large Magellanic Cloud, and physical binaries. The calibration models differ for astrometric solutions with either five or six parameters. The corrections are most appropriate for sources with similar magnitudes and colors as those in the quasar sample (faint and blue) rather than for typical Galactic stars. Therefore, independent validation of Gaia parallaxes based on Galactic objects is urgently needed.

Eclipsing binary systems (EBS) exhibit optical variability because of geometric properties rather than due to intrinsic physical variations. Both components of W Ursae Majoris (EW)-type EBS fill their Roche lobes and have similar temperatures. The primary component is similar to a main-sequence star. EWs can be used as distance indicators, because they follow a well-defined period–luminosity relation (PLR; Rucinski & Duerbeck 1997; Mateo & Rucinski 2017; Chen et al. 2018a). Particularly in infrared (IR) bands, a single EW system can yield a distance with 8% accuracy. In recent decades, the number of known EWs has grown exponentially thanks to new, large surveys (Ren et al. 2021, and references therein).

Here, we use EW distances to investigate the zero-point offset in Gaia EDR3 parallaxes. EWs are among the most numerous variables in the Milky Way for which distances can be determined independently. Section 2 introduces our data set, Section 3 presents our method and the main results, and Section 4 discusses our systematic errors and a comparison with literature results. Section 5 summarizes our conclusions.

2. Data

We used EW data from the American Association of Variable Star Observers International Variable Star Index 9 (Watson et al. 2006). This catalog contains 0.4 million EWs, most of which come from the Zwicky Transient Facility's (Chen et al. 2020) variables catalog. The remainder originate from the All-Sky Automated Survey for Supernovae (ASAS-SN; Jayasinghe et al. 2018), the Asteroid Terrestrial-impact Last Alert System (Heinze et al. 2018), and the Wide-field Infrared Survey Explorer (WISE) catalog of periodic variable stars (Chen et al. 2018b).

We selected EWs with periods of $-0.55\lt \mathrm{log}P{\rm{(days)}}\,\lt -0.25$, which follow a tight PLR, comprising 144,777 objects in Gaia EDR3. These EBS were cross-matched with the WISE database to obtain W1 amplitudes. We used the W1 band to determine their distances, because the extinction in this IR band is much smaller than in optical bands and also since W1 magnitudes are average EW magnitudes based on ∼30 independent detections. More importantly, the W1 PLR is the most accurate EW PLR (Chen et al. 2018a, their Figure 2). For data quality control, we applied as additional criteria:

  • 1.  
    Renormalized unit weight error (RUWE) ≤ 1.4;
  • 2.  
    Blending factor ≤1.1.

The RUWE is equivalent to an astrometric goodness-of-fit indicator. Larger values indicate that the astrometric solution does not completely describe the source motion (Fabricius et al. 2020; Lindegren et al. 2020b); this usually implies the presence of a tertiary companion and, hence, results in significant parallax differences (Stassun & Torres 2021). Although we only consider EWs with RUWE ≤ 1.4, this will not significantly affect our results (the difference for the overall offset is less than 1 μas). For a typical separation between EW components of 5R (Ren et al. 2021), their angular semimajor axis is 0.0048 mas. Since the photocenter's semimajor axis is clearly smaller than the angular semimajor axis, and because EWs are common-envelope objects with significantly reduced photocenter semimajor axes, the photocenter motion (Stassun & Torres 2021) is negligible in our sample. The blending factor is used to correct W1 magnitudes and exclude EWs that are significantly affected by bright neighbors in the W1 band, since the WISE angular resolution (6'' in W1) is worse than that of Gaia EDR3 (about 2'' Lindegren et al. 2020b, their Figure 6). The blending factor is the ratio of the total Gaia G-band luminosity of all sources within a 3'' radius around the target to the target luminosity.

Application of our selection criteria resulted in, respectively, 109,512 and 4309 EWs with five- and six-parameter solutions in Gaia EDR3. They are distributed across the full sky, except for small regions near the Galactic center and in the southern midplane.

3. Results

3.1. PLRs for EWs

Chen et al. (2018a) determined optical-to-mid-IR PLRs based on 183 EWs with Tycho-Gaia parallaxes. We rederived the W1 PLR using Gaia EDR3 parallaxes to improve the PLR zero-point. Although only the maximum EW magnitudes, i.e., those outside eclipses, are directly related to the periods, a tight relationship also exists between mean magnitudes and periods; the dispersion between maximum and mean magnitudes is just σ = 0.05 mag (Chen et al. 2018a). Our most important reason for deriving the mean-magnitude PLR is that it is more appropriate and convenient for large samples. Maximum magnitudes cannot be determined easily, especially not for EWs collected from different catalogs.

We selected nearby (<500 pc), bright EWs with accurate parallaxes (σπ /π < 0.01, where π and σπ are the parallax and its uncertainty, respectively) and W1 magnitudes (σW1 < 0.05 mag). We only consider nearby stars to reduce the systematic error, since the bias (zero-point offset versus parallax) is smaller for nearby stars. The systematic error associated with the zero-point offset in our PLR fits is proportionally reduced when applied to additional EWs (see Section 4.1 for further details). Extinction values were estimated using the three-dimensional (3D) dust reddening map of Green et al. (2019) and AW1/AV = 0.039 (Wang & Chen 2019). We determined absolute magnitudes via ${M}_{W1}={m}_{W1}\,-5\mathrm{log}(1000/\pi )+5\,-{A}_{W1}$, where the unit of π is mas and mW1 is the mean magnitude. The W1 PLR was determined from a linear fit to the 1138 objects contained within the 3σ envelope (see Figure 1, top), ${M}_{W1}\,=(-6.27\pm 0.15)\mathrm{log}P\ {\rm{(days)}}-0.24\,\pm 0.07,\sigma =0.16$ mag. The green and blue lines in Figure 1 indicate the linear fit and the 1σ range, respectively.

Figure 1.

Figure 1. (Top) W1, (middle) GBP, and (bottom) GRP PLRs for nearby EWs with accurate parallaxes. Black points: objects adopted for the PLR determination. Blue dots: outliers located outside the 3σ envelope. Green line: best fit. Blue lines: 1σ range.

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The average extinction for our 1138 EWs is AW1 = 0.013 mag (AV = 0.322 mag). This is reliable and appropriate for a sample at an average distance of 368 pc. Considering a 10% uncertainty in the extinction, reflecting uncertainties due to our choice of extinction law, the prevailing systematic bias is around 0.0013 mag.

The GBP and GRP PLRs were determined similarly (see Figure 1, middle and bottom): ${M}_{{BP}}=(-10.71\pm 0.40)\mathrm{log}P\,-0.38\pm 0.19,\sigma =0.43$ mag and ${M}_{{RP}}=(-8.98\,\pm 0.29)\mathrm{log}P-0.44\pm 0.13,\sigma =0.31$ mag. They were used for extinction estimates in the part of the southern sky not covered by the 3D extinction map (see Section 3.2).

3.2. Gaia EDR3 Zero-point Offset

The W1 PLR thus determined can be used to estimate the absolute magnitudes of all EWs. If the extinction is known, we can obtain an object's distance. This distance is affected by the PLR zero-point rather than the Gaia parallax zero-point and can therefore be used to determine the systematic offset in the Gaia parallaxes. For sources covered by the 3D extinction map, we iteratively obtained the best-fitting extinction, using AW1(μ0) = mW1MW1μ0. For sources not covered by the 3D extinction map, we estimated the extinction using the GBP and GRP PLRs, i.e., ${A}_{W1}=\tfrac{{A}_{W1}}{{A}_{V}}{A}_{V}=\tfrac{{A}_{W1}}{{A}_{V}}\tfrac{({m}_{\mathrm{BP}}-{M}_{\mathrm{BP}})-({m}_{\mathrm{RP}}-{M}_{\mathrm{RP}})}{\tfrac{{A}_{\mathrm{BP}}}{{A}_{V}}-\tfrac{{A}_{\mathrm{RP}}}{{A}_{V}}}$. Here, μ0 is the distance modulus, AW1(μ0) the extinction at μ0, mλ , and Mλ are the apparent and absolute magnitudes in the corresponding band, λ. We adopted the Wang & Chen (2019) extinction law.

Figure 2 shows a comparison of the parallaxes derived from the PLR with those from Gaia EDR3. Here, πEW, πEDR3, and ${\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ represent parallaxes obtained from PLR distances, Gaia EDR3, and Gaia EDR3 after zero-point correction based on Lindegren et al. (2020b), respectively. ΔπEDR3 = πEDR3πEW and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}={\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}-{\pi }_{\mathrm{EW}}$ represent parallax differences.

Figure 2.

Figure 2. Comparison of predicted parallaxes from the PLR vs. Gaia EDR3 parallaxes. (Top) Objects with five-parameter solutions. The blue and red histograms represent the (πEDR3πEW) and $({\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}-{\pi }_{\mathrm{EW}})$ distributions, respectively. The blue and red dashed lines represent Gaussian fits; the corresponding mean differences are indicated. (Bottom) Same as the top panel, but for six-parameter solutions.

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The parallax differences trace a roughly symmetric, normal distribution with a negative shift, where the Gaia parallaxes are systematically smaller. The offsets are ΔπEDR3 = −28.6 ± 0.6 μas and −25.4 ± 4.0 μas, respectively, for the five- and six-parameter solutions (Figure 2, blue histograms), where the errors are the standard deviations. These offsets are slightly larger than that derived from the quasar sample (−17 μas; Lindegren et al. 2020a). The ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ distributions are shown as red histograms in Figure 2; the mean values are 4.2 ± 0.5 μas and 4.6 ± 3.7 μas for the five- and six-parameter solutions, respectively. This suggests that the parallax zero-point correction provided by the Gaia team adopting the quasar reference frame significantly reduces the bias in the Gaia EDR3 parallaxes, but it may slightly overcorrect the bias for Galactic objects.

Equipped with over 100,000 EWs, we can now assess which parameters contribute to the systematic offset. Figure 3 shows the binned parallax difference distributions, ΔπEDR3 (blue dots) and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ (red dots), as a function of G magnitude, effective wavenumber, νeff, ecliptic latitude, $\sin \beta $, and Galactic latitude, $\sin b$, for the five-parameter solutions. Following Lindegren et al. (2020a), we use νeff as a proxy for the color information. It results from processing of the BP and RP spectra and can be converted directly to GBPGRP. The parallax offsets estimated from distant quasars (Lindegren et al. 2020a) are shown as gray points for comparison. Representing one of the largest external comparison catalogs (e.g., Fabricius et al. 2020, their Table 1), the number of EWs is only smaller than the quasar sample. Meanwhile, EWs have good coverage in the Galactic plane, spanning a wide range of colors and magnitudes. The detailed dependence of the parallax differences derived from EWs is fully complementary to that derived from quasar analysis; it is more suitable for Galactic stars.

Figure 3.

Figure 3. Parallax differences for EWs between the Gaia EDR3 five-parameter solution and the PLR as a function of (a) G magnitude, (b) effective wavenumber, νeff, (c) ecliptic latitude, $\sin \beta $, (d) Galactic latitude, $\sin b$. The blue points and error bars represent the bias in ΔπEDR3; the red symbols pertain to ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$, obtained from the best Gaussian fits and their standard deviations. The numbers of stars within each bin exceed 2000. Gray points are relate to our quasar control sample (Lindegren et al. 2020a, their Figure 5). The blue, red, and black dashed lines are the overall offsets in ΔπEDR3 and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$, and the zero deviations, respectively.

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In Figure 3(a), ΔπEDR3 exhibits an increasing, roughly linear trend as a function of magnitude, similar to that shown by the quasars at fainter magnitudes. ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}\simeq 0$ is stable for 14.5 < G < 17 mag. Since 55% of our EWs are found in this range, we conclude that the offset analysis based on EWs and quasars is consistent here. In Figure 3(b), the ΔπEDR3 trends based on EWs and quasars are consistent for νeff < 1.5 μm−1. For effective wavenumbers of 1.5–1.64 μm−1, ΔπEDR3 based on EWs is systematically lower by 10–20 μas. After correction, ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}\simeq 0$, but the pattern persists. This effective wavenumber range corresponds to the range of F- and G-type main-sequence stars. The different offsets may be associated with different types of stars and this requires additional data to verify.

We also checked for trends as a function of spatial position. Any trend in ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ with ecliptic latitude is weak (Figure 3(c)). However, a clear trend is seen as a function of Galactic latitude (Figure 3(d)). Both ΔπEDR3 and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ exhibit sharp drops of 10 μas in the Galactic plane (∣b∣ ≲ 10°). Elsewhere, ΔπEDR3 and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ exhibit stable distributions around the mean. This trend is not a result of either extinction or metallicity variations. It is also present for low-extinction sources. Based on 320 EWs with Large-Area Multi-Object Spectroscopic Telescope (LAMOST) metallicity measurements, we obtain ΔMW1 = MW1,obsMW1,PLR = 0.222[Fe/H] + 0.014 mag. The slope agrees with the near-IR metallicity effect found by Chen et al. (2016). If metallicity effects are taken into account, the trend becomes steeper rather than flatter. Since only quasars with ∣b∣ > 20° are used to model the correction for the five-parameter solutions, the correction is reliable for disk sources if the model used for the disk sources is similar to that of the sources at ∣b∣ > 20°. However, Lindegren et al. (2020a; their Figure 13) showed that the rise and fall of the parallaxes becomes obvious when they approach the Galactic plane. The likely reason for the trend is, instead, that the correction based on the five-parameter solutions is insufficient for some regions in the Galactic disk.

To better investigate the distribution of the parallax differences as a function of spatial position, maps of ΔπEDR3 and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ for the five-parameter solutions, in both ecliptic and Galactic coordinates, are shown in Figure 4. The parallax correction varies more significantly with Galactic than ecliptic latitude. The maps are more intuitive to evaluate the corrected Gaia EDR3 parallaxes. After correction, the parallax offset is less than 10 μas across 40% of the sky, and only 15% of the sky has a parallax offset greater than 30 μas. This shows that the correction for Gaia EDR3 parallaxes is effective in reducing deviations in the Gaia parallaxes.

Figure 4.

Figure 4. Full-sky maps of the mean parallax differences (units: μas; color bars) for the five-parameter solutions of ΔπEDR3 and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$. The top two panels show Hammer–Aitoff projections of ΔπEDR3 and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}$ in ecliptic coordinates; the bottom two panels are in Galactic coordinates. The resolution of each pixel before smoothing is 3 × 3 deg2. We only kept pixels with mean parallax differences estimated from more than 10 EWs. The solid black lines in all panels denote the Galactic plane. The Galactic center and anticenter are shown as black and gray bullets, respectively.

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4. Discussion

4.1. Systematic Errors

Here, we present an estimate of the systematic errors in our PLR-based EW distances. This is important for assessment as to how accurate our derived parallax offset is. The systematic uncertainties include four components: (i) the PLR zero-point offset, (ii) the internal PLR spread, (iii) the unresolved third components, and (iv) the errors in our extinction estimates.

The W1 PLR in Section 2 was obtained based on the parallaxes (calibrated using the five-parameter solution) of 1138 objects located within 500 pc of the Sun. This sample has an average parallax of 3.06 mas. Taking into account the systematic uncertainty of 4.2 ± 0.5 μas (Figure 2), the systematic error propagating to the PLR contributes 0.15%. The systematic error associated with the internal PLR spread is $0.16/\sqrt{1138}=0.0047$ mag, where the 1σ dispersion of the W1 PLR is 0.16 mag. Based on a study of 75 nearby EWs (D'Angelo et al. 2006), the presence of unresolved third components would affect the parallaxes of our sample objects by 0.3%.

For the adopted extinction, the systematic error is contributed by the extinction difference resulting from application of different methods of extinction determination and the choice of extinction law. Based on 98,466 EWs, the average extinction difference between the 3D extinction map used and the extinction calculated from the GBP and GRP PLRs is ΔAW1 = 0.0377–0.0394 = −0.0017 mag. The average extinction for all EWs is AW1 = 0.035 mag (AV = 0.895 mag), which is reliable for an average distance of 2.41 kpc. Considering a 10% uncertainty in the extinction law, the systematic bias caused by extinction differences is about $\sqrt{{0.0035}^{2}+{0.0017}^{2}}=0.0039$ mag.

We do not consider systematic errors in the PLR caused by metallicity effects, for two reasons. First, our EWs are distributed uniformly around the Sun, at an average distance of 2.4 kpc. EW ages are between 1 and 10 Gyr, and they do not tend to be distributed preferentially in either the metal-poor halo or the metal-rich Galactic disk. Therefore, the assumption of an average solar abundance for the EW PLR as a whole is appropriate. Second, if metallicity effects are significant, Figure 3(d) shows that the parallax offset decreases for decreasing ∣b∣ (we only consider ∣b∣ > 10°).

Combining the individual error estimates, the systematic uncertainty affecting our results is σ = 415 μas × ${\left[{(0.0015)}^{2}+{(0.0047\times \mathrm{ln}{(10)/5)}^{2}+(0.003)}^{2}+{\left(0.0039\times \mathrm{ln}(10)/5\right)}^{2}\right]}^{1/2}=1.8$ μas.

4.2. Comparison

Recently, much work has been done on Gaia EDR3 parallaxes based on other tracers. Stassun & Torres (2021) obtained offsets of −37 ± 20 μas and −15 ± 18 μas, respectively, before and after correction, based on 76 EBS. Huang et al. (2021) found a mean parallax offset of −26 μas based ∼70,000 red clump stars observed with LAMOST, which was reduced to around 4 μas after correction. Zinn (2021) and Riess et al. (2021) also found an overestimated zero-point correction of 15 ± 3 μas and 14 ± 6 μas based on, respectively, 2000 first-ascent red-giant-branch stars with asteroseismic parallaxes in the Kepler field and 75 classical Cepheids. Ren et al. (2021) found offsets of −42.1 ± 1.9(stat.) ± 12.9 (syst.) μas and −10.9 ± 2.9(stat.) ± 12.9 (syst.) μas, respectively, before and after correction, based on 2334 EWs in the northern Galactic plane.

Overall, for Galactic stars the Gaia EDR3 parallax offsets are [−20, −30] μas and 4–10 μas before and after correction, respectively. For specific regions—the Galactic disk, the bulge, and high-latitude regions—there is an additional deviation of about 10 μas. Compared with previous results, our new results have smaller errors and higher completeness because of the much larger sample size afforded by our EW sample and their more complete coverage in magnitude, color, and spatial distribution.

5. Conclusion

We have used 109,512 and 4309 EWs with five- and six-parameter solutions for an independent examination of the Gaia EDR3 parallaxes. Our EWs cover the entire sky, except for the Galactic center and a small region in the southern Galactic midplane. Representing one of the largest available catalogs, EW types have a relatively complete coverage in magnitude and color.

We determined the W1 PLR of EWs based on 1194 nearby objects. Adopting this PLR, we obtained independent parallaxes with a 7.4% accuracy to check both the original and zero-point-corrected EDR3 parallaxes. The overall offsets resulting from our analysis are ΔπEDR3 = −28.6 ± 0.6 μas and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}=4.2\pm 0.5$ μas for five-parameter solutions, and ΔπEDR3 = −25.4 ± 4.0 μas and ${\rm{\Delta }}{\pi }_{\mathrm{EDR}3}^{\mathrm{corr}}=4.6\pm 3.7$ μas for six-parameter solutions, with a systematic uncertainty of 1.8 μas. The relationships, if any, between the parallax offset and G-band magnitude, effective wavenumber, νeff, ecliptic latitude, $\sin \beta $, and Galactic latitude, $\sin b$, were investigated. The EW results generally agree with those derived from quasars, except for the smaller parallax offsets for effective wavenumbers of 1.5–1.64 μm−1 and for stars in the Galactic plane (∣b∣ ≲ 10°). We found that any correlation between parallax offsets and ecliptic latitude is weak.

The spatial distribution of the parallax offsets shows that the bias in corrected Gaia EDR3 parallaxes is less than 10 μas across 40% of the sky. Only 15% of the sky is affected by parallax offsets greater than 30 μas. We have thus provided independent evidence that the Gaia EDR3 parallax corrections are effective. Combined with literature data, we found that the overall offsets in Gaia EDR3 parallaxes for Galactic stars are [−20, −30] μas and 4–10 μas, respectively, before and after correction. For specific regions, such as the Galactic disk, the bulge, and high-latitude regions, there is an additional deviation of about 10 μas. Compared with Gaia DR2, the parallax accuracy of Gaia EDR3 is thus greatly improved.

We are grateful for research support from the National Key Research and Development Program of China through grants 2019YFA0405500 and 2017YFA0402702. We also received support from the National Natural Science Foundation of China through grants 11903045 and 11973001. This work has made use of data from the European Space Agency' Gaia mission (http://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC; http://www.cosmos.esa.int/web/gaia/dpac/consortium).

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10.3847/2041-8213/abf359