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Revista mexicana de astronomía y astrofísica

versão impressa ISSN 0185-1101

Rev. mex. astron. astrofis vol.58 no.2 Ciudad de México Out. 2022  Epub 20-Mar-2023

https://doi.org/10.22201/ia.01851101p.2022.58.02.12 

Articles

The Hipparcos Pleiades Parallax Error is Also a Proper Motion Error

Valeri V. Makarov1 

1U.S. Naval Observatory, Washington, DC 20392-5420, USA.


ABSTRACT

The mean parallax of the Pleiades open cluster from the Hipparcos catalog is larger than the true value by approximately 1 mas. The origin of this error, as well as a possible algorithm of correcting it, was proposed by Makarov (2002). The problem is reassessed using the more accurate Gaia data with a focus on the predicted correction to the Pleiades proper motions. The accurately determined differences Gaia Hipparcos for 52 common stars are close to these estimates within the formal uncertainties for all three parameters, which strongly suggests that the proposed interpretation was correct. With adjustments for the systematic vector field fitted with 126 vector spherical harmonics to degree 7, these differences amount to (+0.39, -0.74) mas yr−1. The implications of small-scale proper motion and position errors in Hipparcos for present day astrometry are briefly discussed.

Key Words astrometry; parallaxes; proper motions; reference systems

RESUMEN

La paralaje media del cúmulo abierto de las Pléyades obtenida del catálogo Hipparcos es aproximadamente 1 mas mayor que el valor verdadero. Makarov (2002) propuso una razón para este error y un algoritmo para corregirlo. El problema se examina aquí de nuevo, usando los datos más precisos de Gaia y con hincapié en la corrección predicha para los movimientos propios en las Pléyades. Las diferencias Gaia Hipparcos determinadas con precisión para 52 estrellas en común son muy parecidas a las estimaciones (dentro de las incertidumbres formales de los tres parámetros), lo cual sugiere que la interpretación propuesta es correcta. Al realizar ajustes para el vector de campo sistemático con 126 armónicos esféricos vectoriales y grado 7 estas diferencias resultan ser de (+0.39, -0.74) mas año−1. Se discuten brevemente las implicaciones de pequeños errores en las posiciones y los movimientos propios del Hipparcos para la astrometría moderna.

1. Introduction

The publication of the Hipparcos star catalog and its supporting data sets (ESA 1997) marked the beginning of a new golden age of astrometry and fostered even bolder ideas setting more ambitious goals. The impact of this space mission across the diverse areas of astronomy and astrophysics is summarized by Perryman (2008). The advent of space astrometry was not incontrovertible, however. Perhaps, the most contentious issue discussed for at least a decade was the conspicuous discrepancy between the mean trigonometric parallax of the Pleiades open cluster and the previously adopted distance value, which had crystallized from numerous observational and theoretical investigations (Mermilliod et al. 1997). The Hipparcos parallax is too large at approximately 8.6 mas, placing the Pleiades main sequence about 0.5 mag fainter with respect to the well-established main sequence at its metallicity. After careful analysis of possible astrophysical causes, such as incorrectly determined reddening, abnormal helium abundance, a systematic error of ≈ 1 mas in the Hipparcos data was proposed, which is well outside of the 3σ statistical range (Pinsonneault et al. 1998; Soderblom et al. 1998). The first important clue toward a consistent explanation of the discrepancy was provided by Narayanan & Gould (1999), who used the convergent point method and the resulting kinematic parallaxes (significantly more precise than the trigonometric parallaxes) for the Pleiades and Hyades to reveal the presence of sky-correlated errors in the Hipparcos data on angular scales 2°-3°.

The presence of such a large error in Hipparcos astrometry had been initially doubted by some authors privy to the mission (van Leeuwen 1999; Robichon et al. 1999). Very soon, mounting evidence to the contrary of astrometric (Gatewood et al. 2000; Pan et al. 2004; Zwahlen et al. 2004; Soderblom et al. 2005; Melis et al. 2014; Galli et al. 2017) and astrophysical nature (Stello & Nissen 2001; Munari et al. 2004; Percival et al. 2005; Fox Machado et al. 2006; An et al. 2007; Miller et al. 2013; Kim et al. 2016; Mädler et al. 2016) was provided. One could say that the bottom line of this discussion was drawn by the Gaia astrometric mission (Gaia Collaboration et al. 2016) of much superior precision, which already in its first data release (DR1, Gaia Collaboration et al. 2016) unambiguously confirmed that both the principal Hipparcos catalog and its later re-reduction failed to provide an accurate mean parallax of the Pleiades. A very accurate trigonometric parallax of the Pleiades was also obtained from Gaia Data Release 2 (Gaia Collaboration et al. 2018).

One of the goals of this paper is to show that the correct interpretation of the origin of this spectacular error has been presented by Makarov (2002). The topic is revisited because Hipparcos continues to be important for many studies related to positions and motions of brighter stars, as well as for practical applications (Kopeikin & Makarov 2021). Understanding past mistakes is also essential for planning of future space astrometry missions, and generally, of large astrometric catalogs. The other objective is to draw the attention of the research community to the fact that Hipparcos proper motions of the brighter stars contain significant position correlated errors at a range of angular scales. These proper motions are being used in a number of important projects, for example, for detecting accelerating astrometric binaries with unresolved or dim companions (e.g., Kervella et al. 2019).

2. Locally Weak Condition

The main principles of self-calibrating allsky space astrometry, originally formulated by P. Lacroûte in 1966 (see Kovalevsky 1984) are based on the concept of a telescope with split viewing directions separated by a fixed “basic angle” Γ. One-dimensional positions of stars (called abscissae) are measured on the detector as they drift across the two fields of view. Linearized condition equations include only small differences “observed minus calculated” of the measured abscissae and the derived astrometric parameters are therefore corrections to a set of nominal values. Likewise, the results for other unknowns involved in this adjustment are also small corrections to some previously estimated or assumed functions of time. Without the basic angle, the condition equations would be nearly degenerate to a wide range of perturbations. The ability to reference each target star to a large number of other stars observed almost simultaneously at a large angular distance is pivotal in improving the condition of space astrometry equations. Trigonometric parallaxes, in particular, become absolute (Makarov 1998), while the propagation of large-scale sky-correlated errors of proper motions and positions (outside of the well-known 6-rank deficiency) is greatly reduced (Makarov et al. 2012).

This theoretical advantage had yet to be realized in a carefully designed data processing pipeline where the tasks of instrument calibration, attitude reconstruction, and astrometric adjustment were divided into stages of a complex iterative process and performed by different teams. The one-dimensional along-scan attitude was modeled by piece-wise cubic spline functions of time. The characteristic scale of these functions was a few degrees, matching the angular diameter of a nearby cluster. As explained in detail in Makarov (2002), setting the weights of individual measurements depending on the measured flux gives rise to a strong imbalance between the data from the two fields of view and a locally weak condition. An imprecise initial assumption about the true abscissae of the Pleiades, for example, would not be corrected because of a poor convergence of the iterative adjustment. The proposed fix was to re-estimate the instantaneous position of the bisector assigning a greater weight to the fainter stars simultaneously observed in the other field of view.

3. The Mean Pleiades Parallax and Proper Motion in Gaia DR3

Gaia DR3 (Gaia Collaboration et al. 2021) includes many more members of the Pleiades cluster than Hipparcos because of the fainter magnitude limit. For the purpose of unbiased comparison, however, we have to use the same sample of stars as in 2002). It includes 53 bona fide Pleiades members with H p magnitudes between 2.85 and 10.87 and a median magnitude 8.32. The brightest star, Alcione = HIP 17702, however, does not have proper motion or parallax determinations in Gaia DR3. It is eliminated from the analysis leaving 52 stars. Some of these stars have fainter companions within 10’’ resolved in DR3, with three companions being likely members of the cluster and possibly binary companions according to the astrometric information. In each case, the closer match is much brighter removing any ambiguity in cross-identification.

The mean differences of parallax and proper motion components, ∆ϖ, ∆µα∗, and ∆µδ, are computed in the sense “Gaia − Hipparcos” with weights wi inversely proportional to the combined formal variances as given in the two catalogs, e.g.,

ϖ=i=152ϖDR3,i-ϖHIP,iσϖDR3,i2+σϖHIP,i2i=152σϖDR3,i2+σϖHIP,i2-1 (1)

The standard error of the mean is then computed as

σΔϖ=i=152σϖDR3,i2+σϖHIP,i2-1-12 (2)

and the same formulae are applied to the proper motion components µα∗ and µδ.

In application to proper motions, this is a simplified way of estimating statistical differences, which includes only the coordinate projections of the proper motion vector µα∗ and µδ. A mathematically more consistent method is to compute for each star the vector differences δµ = µDR3 - µHIP and their normalized bivariate values

xμ=δμT Cμ-1 δμ12 (3)

where Cµ is the sum of the corresponding 2 × 2 covariance matrices of the proper motion vectors in Gaia and Hipparcos. The statistics χµ are expected to be distributed as χ(1). For an adequate comparison with the results from Makarov (2002), however, the simplified method is required because the full covariance matrix of the updated Hipparcos proper motion was not available.

We note that the weights of proper motion component differences are dominated by the uncertainties in Hipparcos, where the formal errors are much greater than in Gaia DR3. This is seen from the error bars in Figure 1, which shows the δ components of the 52 proper motions in DR3 plotted versus the corresponding values in Hipparcos. The straight diagonal line shows the location of data points when the determinations in the two catalogs are ideally consistent. More points are shifted below this line, reflecting the significant difference between the mean proper motions.

Fig. 1 Declination components of proper motions of 52 Pleiades members in Gaia DR3 and Hipparcos. 

The mean differences thus computed are ∆ϖ = -1.00 ± mas, ∆µα∗ = +0.34 ± 0.17 mas, ∆µα∗ = +0.34 ± 0.17 yr−1, and ∆µδ = -0.62 ± 0.13 mas yr−1. The corresponding confidence bounds for these mean values assuming a normal distribution of errors are 1, 0.9772, and 1, respectively. These values are statistically close to the corrections intrinsically derived by Makarov (2002) from the Hipparcos data: −0.71 ± 0.14 mas, +0.45 ± 0.14 mas yr−1, −0.66 ± 0.11 mas yr−1, respectively. The formal confidence bounds for these estimates are 1, 0.9993, and 1, respectively. We note that the probability of the null hypothesis that these updates coincide within 1.7 σ or better in all the three parameters by accident is practically zero.

The Gaia DR3 and Hipparcos proper motion systems for brighter stars are known to have systematic, or large-scale sky-correlated differences. They include a substantial rigid 3D rotation, which can be viewed as a spin of the entire frame with an angular acceleration. The pattern of Gaia Hipparcos proper motion differences, however, is not limited to this rigid rotation. To estimate the contribution of the large-scale vector field to the Pleiades-specific proper motion differences, a dedicated analysis of the proper motion systems was performed. The Hipparcos catalog positions and their covariances were transferred onto the mean epoch of Gaia DR3 (2016) and all common stars were cross-matched. After removal of a large number of known binary and double stars, as well as statistically perturbed unresolved astrometric binaries, some 75, 000 well-behaved stars with proper motions in both catalogs remained. A set of 126 vector spherical harmonics (which is a complete set up to degree 7) was fitted to the observed Gaia Hipparcos vector field using the formal covariance matrices for optimal weights. Each vector spherical harmonic represents a specific vector filed pattern on the sky, and its coefficient defines the estimated amplitude. The result revealed a spectrum of harmonics with statistically significant signal-tonoise ratios, where the three magnetic (or, toroidal) harmonics of degree 1 were by far the greatest contributors. The median vector length of the fitted field is 191 µas yr−1. At the location of the Pleiades cluster, the fitted value is (-48, +123) µas yr−1. In order to correct for the large-scale distortion pattern, this vector should be subtracted from the above quoted mean proper motion differences. The result (+0.39, -0.74) mas yr−1 is marginally closer to the estimates from Makarov (2002).

4. Discussion

For nearly two decades, the Hipparcos catalog provided an optical realization of the International Celestial Reference System. Its emergence motivated fundamental changes in the definition of the celestial reference frame with a decisive move from the dynamic mean equinox of J2000 to a mathematically fixed, precession-free origin on the similarly defined equator (Seidelmann & Kovalevsky 2002). The endeavor of achieving a maximally inertial (nonrotating) reference system of celestial coordinates resulted in the shift of paradigm from referencing stellar positions to the solar system ephemerides. The valued quasi-inertiality is based on a complex and indirect link to the extragalactic reference frame (Kovalevsky et al. 1997). This link is much more robust and straightforward for Gaia, which observed ≈ 106 optical quasars and AGNs, as well as a few thousand optical counterparts of ICRF3 (Gaia Collaboration et al. 2018). Unfortunately, because of essentially separate calibration pipelines for bright stars and fainter sources, this link does not fully apply to the sample of Hipparcos stars. This may be one of the reasons for significant global and largescale proper motion differences. Gaia DR3 proper motions of brighter stars, in particular, may have significant rigid spin components with respect to the better constrained fainter stars (Cantat-Gaudin & Brandt 2021).

Hipparcos astrometry acquires a pivotal role of the first-epoch realization of a quasi-inertial celestial reference frame. Any distortions of its position and proper motion systems affect the long-term viability of this frame. One application is the detection of ∆µ binaries (Wielen et al. 1999), which are unresolved astrometric binaries with variable proper motion. The increased sensitivity of this method allows us to detect Jupiter-mass planets in long-period orbits around nearby stars. It is also relevant for maintaining the optical reference frame, because only truly single stars can be stable astrometric standards. The present follow-up study shows that Hipparcos parallaxes and proper motions are burdened by small-scale error of technical origin, which is, in principle, correctable. It is likely that the mean positions in Hipparcos are also affected in certain parts of the celestial sphere by similar or larger amounts. Such errors are bound to propagate into the most precise Hipparcos Gaia (HG) proper motions, which are central to the anticipated detection of long-period companions of planetary mass or inactive black hole companions of stellar mass (Mashian & Loeb 2017). This error overhead coming from unaccounted perturbations of Hipparcos positions may exceed the intrinsic formal error of short-term Gaia proper motions, so its presence is bound to perturb the detection results toward increased occurrence of false positives at the most affected locations. Ongoing investigations of the Gaia Hipparcos proper motion field should at a minimum take into account possible sky-correlated deviations. A more ambitious goal would be to devise ways of correcting Hipparcos astrometry once we have understood the origin of its main weakness. A complete reprocessing of Hipparcos mission data starting with the Intermediate Astrometry Data (HIAD) and using Gaia results for certified stable and single astrometric standards can be considered. Such a reprocessing effort should focus on improving the attitude, basic angle Γ, and reference great circle zero-points solutions. The technical feasibility of such a solution for the latter data type has been demonstrated by Zacharias et al. (2022) using precision astrometric data from modern ground-based observations. In the same paper, the technical possibility of reprocessing the available Hipparcos data and solving for an improved set of abscissae zero-points has been demonstrated. Gaia positions of the fainter Hipparcos stars can be extrapolated back to 1991.25 using corrected Gaia proper motions and used as additional constraints in such a global solution, potentially improving the system of Hipparcos positions on the largest spatial scale including rotation. Another possibility is to improve the Hipparcos proper motion system a posteriori at the cost of removing the option of external verification of Gaia. The main obstacle on this way is the existence of similar sky-correlated errors in Gaia, including a possible rigid spin of the entire proper motion system already seen in the Gaia Data Release 2 (Makarov & Berghea 2019). Although these imperfections are much smaller in Gaia than in Hipparcos, they create ambiguity in the interpretation of obvious differences between the two catalogs. A deeper insight into the propagation of correlated errors in Hipparcos may help to disentangle this ambiguity.

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The anonymous referee is thanked for useful and constructive suggestions. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.

Received: May 04, 2022; Accepted: June 29, 2022

Valeri V. Makarov: U.S. Naval Observatory, 3450 Massachusetts Ave., Washington, DC 20392-5420, USA (valeri.makarov@gmail.com, valeri.v.makarov.civ@us.navy.mil).

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