Outer Galactic disk A and F stars

A study of full space motions of outer Galactic disk A and F stars in two deep pencil-beams

A. Harris, J. E. Drew, M. Monguió

School of Physics, Astronomy and Mathematics, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK
E-mail: a.harris7@herts.ac.uk
Abstract

A and F stars can be used as probes of outer Galactic disk kinematics: here we extend the work of Harris et al. (2018) by crossmatching their A/F sample with Gaia DR2 to bring in proper motions. These are combined with the already measured radial velocities and spectro-photometric distances to obtain full space motions. We use this sample of 1173 stars, located in two pencil-beam sightlines ( and ), to sample the Galactocentric velocity field out to almost  kpc. We find there are significant differences in all three (radial, azimuthal and vertical) kinematic components between the two directions. The rotation curve is roughly flat in the anticentre direction, confirming and extending the result of Kawata et al. (2018a) thanks to the greater reach of our spectro-photometric distance scale. However at the circular velocity rises outwards from  kpc and there is a more pronounced gradient in radial motion than is seen at . Furthermore, the A star radial motion differs from the F stars by  km s. We discuss our findings in the context of perturbers potentially responsible for the trends, such as the central bar, spiral arms, the warp and external satellites. Our results at are broadly consistent with previous work on K giants in the anticentre, but the kinematics at in the Perseus region do not yet reconcile easily with bar or spiral arm perturbation.

keywords:
Galaxy: disc – Galaxy: kinematics and dynamics – stars: early-type – methods: observational
pagerange: A study of full space motions of outer Galactic disk A and F stars in two deep pencil-beamsApubyear: 2019

1 Introduction

Tracing the kinematics of the Galactic disk allows us to map out its structure and so gain insight into its formation and evolution. The disk is expected to be rich in substructure imprinted from dynamical processes such as resonant effects from the central bar (Monari et al., 2014), the spiral arms (Monari, Famaey & Siebert, 2016; Grand et al., 2016), and infalling and external satellites (Gómez et al., 2013; Antoja et al., 2018). The mean structure contains important information about the Galactic potential and yet remains uncertain. To form a complete picture it is vital to study not only the accessible inner disk and Solar Neighbourhood, but also the outer disk. So far, the outer disk is less well known.

With the DR2 release from the Gaia mission (Gaia Collaboration et al., 2018a, 2016), there is now an abundance of kinematic data in the form of positions, parallaxes, proper motions and some radial velocities. However for the faint distant stars that populate the outer disk, Gaia DR2 provides valuable proper motion data, but not radial velocities and parallaxes good enough for use in kinematic studies. Previous studies have tended to use either masers in star-forming regions (Honma et al., 2012; Reid et al., 2014) or clump giants (López-Corredoira, 2014; Huang et al., 2016; Tian et al., 2017), both boasting reasonably well-defined distances. But both of these tracers have down sides too - masers in star forming regions are sparse in the outer disk, making it difficult to sufficiently sample the kinematic structure, and clump giants are old and hence are subject to large kinematic scatter and asymmetric drift. More recently, Kawata et al. (2018a) used stars from Gaia DR2 to study the azimuthal and vertical velocity field out to Galactocentric radius  kpc in the anticentre direction, but the lack of radial velocity information and large parallax uncertainties for the fainter more distant stars prevented them from delving further into the outer disk (see also Gaia Collaboration et al., 2018b).

There is however another path to explore. Harris et al. (2018) (hereafter H18) showed that A and F stars can begin to be used as probes of outer Galactic disk kinematics on combining radial velocities and spectro-photometric distances. These stars offer the following advantages: i) they are intrinsically relatively luminous with absolute magnitudes in the band of 0 to 3, ii) as younger objects ( Gyr), they have experienced significantly less scattering within the Galactic disk (Dehnen & Binney, 1998), iii) A stars especially are efficiently selected from photometric H surveys (H18). Here we extend the work of H18 by completing the kinematics of their A and F star sample by bringing in the since-released Gaia DR2 proper motions. We examine the resultant Galactocentric radial, azimuthal and vertical velocity fields in their two pencil-beam sightlines in the outer disk at longitudes and . We re-use the H18 spectro-photometric distance scale, which reaches out to Galactocentric radii of 14-15 kpc.

The layout of the paper is as follows: in section 2 we describe the data, coordinate systems and how we compute full space motions. We also demonstrate the advantages of the H18 spectro-photometric distance scale relative to parallax-based alternatives. The results are presented in section 3, detailing the profile of radial, azimuthal and vertical velocity with Galactocentric radius along the two sightlines. We also compare the kinematics and velocity ellipsoids of the A and F star populations. In section 4, we discuss possible kinematic perturbers that may be at work and examine the results with these in mind. We end the paper with our conclusions; that there are departures from axisymmetry such that (to good precision) the disk circular speed rises with Galactocentric radius at , whilst remaining flat at . We also find a strong trend in Galactocentric radial velocity at that is much weaker at .

2 Sample and Method

The sample we use is that from H18111The data from H18 can be found here: http://vizier.u-strasbg.fr/viz-bin/VizieR?-source=J/MNRAS/475/1680, comprising spectra of 1173 A and F stars. The sample was selected using the IPHAS222INT (Isaac Newton Telescope) Photometric H Survey of the Northern Galactic Plane, see Drew et al. (2005) , colour-colour diagram, and spectra were gathered using MMT’s multi-object spectrograph, HectoSpec. The stars have apparent magnitudes (equivalently ), sampling heliocentric distances of  kpc. They are located in two pencil-beams of diameter in the Galactic plane, at (, ) = (, ) and (, ) (see figure 1). Radial velocities and stellar parameters were measured using a MCMC-assisted parameter fitting routine relative to synthetic spectra as templates, which were calculated using the approach of Gebran et al. (2016) and Palacios et al. (2010). Spectro-photometric distances were calculated taking into account measured extinctions and with the use of Padova isochrones (Bressan et al., 2012; Chen et al., 2015). For a detailed description of the determination of radial velocities, stellar parameters and distances, see H18.

Figure 1: A sketch of the Milky Way showing the locations of the sightlines, segments of the Perseus (black) and Outer (red) Arms (Reid et al., 2014), and an approximate (30) alignment of the central bar’s major axis (green dashed). The Galaxy is rotating clockwise, with the centre shown by the red cross. The Sun is located at  kpc (red Sun symbol). Blue dashed lines show the full extent of the sightlines, and solid blue lines represent the actual distance range analysed. The sampling spans (kpc) , while the sightline captures (kpc) . The grey contours are spaced at distance intervals of  kpc.

There are 780 stars in the sightline, and 393 in the sightline. We crossmatch this sample with the Gaia DR2 database, finding matches for all objects. This provides proper motions with typical uncertainties of  mas yr, or typical percentage uncertainties of . We then apply the following quality cuts:

  • Following the suggestions of Lindegren et al. (2018), we apply a quality cut depending on the unit weight error, , of the Gaia data, which is a goodness-of-fit statistic on the model used to determine the astrometric parameters. We remove objects from the sample that have , where is the magnitude in the Gaia band. This quality cut results in 23 objects being removed from the sample, and 6 from the sample.

  • Again following Lindegren et al. (2018), we apply a cut based on the number of ‘visibility periods used’ of the Gaia data, indicating an astronometrically well-observed source. We remove objects with visibility periods. This affects no objects at . A further 2 objects are removed from the sample.

  • Finally, we remove objects with unrealistically large spectro-photometric distances. We set this limit to a heliocentric distance of 10 kpc, since it is the maximum distance expected from the initial target selection. This cut removes a further 27 objects from the sample, and 10 from the sample. In our analysis we further reduce the heliocentric distance range considered to 6.5 kpc () and 8.1 kpc ().

The final sample size is then 730 stars at and 375 at . By combining the now-complete kinematic data of our sample with our spectro-photometric distances, we have a full 6D phase-space solution.

2.1 Distance scale

For the magnitude range of the target stars (), the measurement uncertainty on Gaia DR2 parallaxes range from  mas for the brightest objects to  mas for the faintest. The majority have an uncertainty around 0.1 mas. Over the distance range targeted (2-10 kpc, or a parallax range of 0.1-0.5 mas), these uncertainties are significant, amounting to percentage uncertainties of . Additionally, the Gaia DR2 parallaxes carry systematic errors of order  mas on global scales, with actual magnitude and distribution of the errors unknown (Lindegren et al., 2018). For these reasons, it is not obvious that Gaia DR2 parallax information would provide any improvement to our spectro-photometric distance scale. To check this, we have made comparisons with 2 alternative distance scales that make use of the Gaia DR2 parallaxes: i) Bailer-Jones et al. (2018) (hereafter BJ18) who infer a distance scale using a prior that varies according to a Galaxy model, and ii) the topcat ‘distanceEstimateEdsd’ function (hereafter EDSD) which uses an exponentially decreasing space density prior for a chosen length scale (we use L=1500 pc) to estimate the distance (Luri et al., 2018).

Figure 2 compares the HectoSpec spectro-photometric distance scale with that from BJ18. The comparison with EDSD is not shown since it is very similar. We see that at  kpc the BJ18/EDSD distances become significantly smaller than our spectro-photometric distances. This is signalling that at distances of  kpc the parallax measurements are becoming sufficiently imprecise that the prior in the parallax inversion takes over. Hence it is not appropriate to rely on Gaia DR2 parallax-based distance scales to probe further out than a few kpc from the Solar neighbourhood. Hogg, Eilers & Rix (2018) support this view, instead making use of the APOGEE–Gaia–2MASS–WISE overlap to train a model to predict parallaxes from spectro-photometric data of red giant-branch stars out to heliocentric distances of 20 kpc, without the use of a prior. Similarly, our spectro-photometric scale does not depend on a distance-related prior.

In addition to this, the BJ18/EDSD distances suffer from large asymmetric uncertainties. The median percentage uncertainty for the BJ18 distances is for the inside tail of the probability distribution, and for the outside tail. Similarly for the EDSD distances, the median percentage uncertainty is for the inside tail and for the outside tail. The uncertainties on our spectro-photometric distances are symmetric and the percentage uncertainties range between , with a median of just . Hence continued use of the spectro-photometric distance scale is warranted as it is free of the aforementioned systematic errors, benefits from relatively small, symmetric uncertainties, and most importantly can be trusted out to distances beyond those that can be inferred from Gaia DR2 parallaxes.

Figure 2: A comparison of the HectoSpec spectro-photometric distances with the Bailer-Jones et al. (2018) distances. The red line is the running median and green line the running mean.

2.2 Coordinate systems and conversion to the Galactocentric frame

Throughout this paper we mainly use the Galactic coordinate system defined by longitude and latitude , with heliocentric radial velocity , defined as positive if the object is moving away from the Sun, and tangential velocities , , regarded as positive in the direction of increasing and . The tangential velocities are derived from Gaia DR2 proper motions, which we convert from RA, DEC to , following Poleski (2018), making use of the covariance matrix when propagating the errors.

We also use a cylindrical Galactocentric coordinate frame, defined by: Galactocentric azimuth measured from the centre-anticentre line with increasing in the direction of Galactic rotation; Galactocentric radius , and the distance from the mid plane . In this frame, the velocities are (, , ), with being the Galactocentric radial velocity, positive in the direction towards the Galactic centre, being the azimuthal velocity, positive in the direction of rotation, and being the vertical velocity, positive in the same sense as the Northern Galactic Pole. We calculate , , using a combination of the measured proper motions (in the tangential velocities) and radial velocities,

(1)

in which , and account for the Solar motion,

(2)

where (, , ) describe the Solar peculiar motion and is the azimuthal velocity of the Sun about the Galactic centre, given by = with the azimuthal velocity of the LSR. We adopt for these the values of McMillan (2017):  km s,  km s,  km s,  km s, and distance of the Sun to the Galactic centre .

3 Results

The data used here is available through CDS, including positions, distances, velocities etc of the final sample (see also the Appendix).

3.1 Radial motion

Figure 3: The trend of u with for (top) and (bottom). The green line is the weighted mean of the grey data points, and the shaded region represents the standard error of the mean. The red points are the mean u of 1 kpc bins, and the error bars are the standard error of the binned mean. The blue diamonds are the median u of 1 kpc bins. The black dashed line is a weighted linear regression line fit to the grey data points. The black dotted line is the López-Corredoira & González-Fernández (2016) result. Arrows indicate the approximate location of the Perseus and Outer Arms (Reid et al., 2014).

The trend of with Galactocentric distance, , is shown in figure 3 for (top) and (bottom). Both sightlines show an overall negative gradient in , determined from the weighted linear regression line (dashed line) fit to the data points, along with some wiggles in the weighted mean trend (green line, shaded to represent standard error of the mean). This negative gradient has been measured previously. For example, López-Corredoira & González-Fernández (2016) and Tian et al. (2017) have both used clump giants located near the anticentre direction to achieve this (note that their definition of is opposite in sign to ours). The López-Corredoira & González-Fernández (2016) result is plotted in figure 3 as a black dotted line, and is very similar to our result in the anticentre direction. From the line fitted to our data at , we find a gradient in Galactocentric radial velocity of  km s kpc, with a zero point at  kpc, to be compared with López-Corredoira & González-Fernández (2016) result of  km s kpc and  kpc. Tian et al. (2017) do not fit a linear trend but find the radial profile crosses at  kpc which is slightly further out than our measurement. Since the stated values depend on the adopted Solar motion which varies between studies, we have recomputed our results switching to the adopted Solar motions of these earlier works. Our results remain compatible with López-Corredoira & González-Fernández (2016), and still fall short of the  kpc cross-point obtained by Tian et al. (2017).

The linear fit to the radial velocity profile at is notably different. The measured gradient is steeper than in the anticentre, and the crosspoint is further out: we measure  km s kpc and  kpc for the range covered. However if we move away from the idea of a linear trend and examine the mean trend directly, we notice at the profile is almost step-like with a section of  km s for , a section of from (kpc) , and a section of  km s for  kpc.

The wiggles in the running means are likely to be due to the noise level of the data - hence why it is more noticeable in the less well-sampled sightline. However, kinematic perturbations in the radial direction, for example linked to spiral arms and/or the bar, could be present. We explore possible explanations for the observed behaviour in the discussion (section 4).

3.2 Azimuthal motion - the rotation curve

The rotation curve, , measured at is shown in the top panel of figure 4 (green line). It is roughly flat. The absolute value at which it lies scales directly with the assumed solar motion, (, , )333It also scales with the assumed , but this is much less significant than the effect from assumed Solar motion. . For our adopted solar azimuthal velocity  km s, we measure a mean rotation speed over  kpc of  km s. More generally, it is  km s slower than the adopted rotation speed of the Sun ( km ). This is consistent with the findings of Kawata et al. (2018a), who use Gaia DR2 proper motions for a very large sample () of stars located along the Galactic centre-anticentre line to determine the rotation speed. At  kpc, they measure the rotation speed to be  km s slower than their assumed . Our work confirms this result and almost doubles their range measured in the outer disk, extending to  kpc thanks to the greater reach of our spectro-photometric distance scale.

Figure 4: The rotation curve for (top) and (bottom). The green line is the weighted mean of the grey data points, and the shaded region represents the standard error of the mean. The red points are the mean v of 1 kpc bins, and the error bars are the standard error of the binned mean. The blue diamonds are the median v of 1 kpc bins. The yellow line shows the result of H18 for comparison. Arrows indicate the approximate location of the Perseus and Outer Arms (Reid et al., 2014).

The rotation curve measured at , shown in the bottom panel of figure 4, is not the flat profile observed in the anticentre. Instead we observe a gradual increase from  km s at 10.5 kpc to  km s near 14 kpc - that is an increase of  km s over  kpc.

A rising rotation law has been measured before, for example by Tian et al. (2017) in the anticentre direction. It was also measured in H18, who use the same sample as here but with only the heliocentric radial velocity data available. In this situation, it was necessary to make an assumption about the behaviour of . H18 chose to treat as averaging to zero at all distances along the pencil beam. The H18 result, recalculated using the Solar motion adopted in this paper, is plotted on the panel in figure 4 for comparison (yellow line). We see that the new result from this paper, able to take into account proper motion measurements, is slightly flatter than the previous result in H18 - it does not dip as low at  kpc or reach as high at  kpc. Clearly, the presence of a significant radial velocity term that does not average to zero has an impact on the rotation curve deduced from observed stellar motions.

Huang et al. (2016) also measured a sharply rising rotation curve between  kpc that is very similar to that of H18 by using clump giants sampled over a broad fan of outer disk longitudes. However, unlike H18 they did not make the assumption of zero radial motion, and instead treated a longitude-averaged as a free parameter in their kinematic model of the Galaxy. The trend they find is much weaker than the trend we find here at .

3.3 Vertical motion

Figure 5 shows the vertical velocities as a function of Galactocentric distance, , at (top panel) and (bottom panel).

In the case of , the trend is roughly flat. The weighted linear regression line (black dashed) has a slope of  km s kpc - consistent with zero gradient. On average the vertical velocity is slightly positive at  km s, although this scales with the assumed .

At we observe something different. Firstly, the weighted linear regression (black dashed line) returns a slope of  km s kpc. Secondly, the weighted mean (green line) indicates the trend is also oscillating. Whilst this wiggling may be in-part due to low number statistics, a similar effect has been noted in previous studies: most recently, Kawata et al. (2018a) use Gaia DR2 proper motions of stars along the Galactic centre-anticentre line out to  kpc to find a positive gradient of vertical velocity with Galactocentric radius and they also observe oscillations around this gradient. The results of Schönrich & Dehnen (2018), based on the Gaia-TGAS data set, exhibited this behaviour also. We discuss possible explanations of these perturbations in section 4.

Figure 5: The trend of w with for (top) and (bottom). The green line is the weighted mean of the grey data points, and the shaded region represents the standard error of the mean. The red points are the mean w of 1 kpc bins, and the error bars are the standard error of the binned mean. The blue diamonds are the median w of 1 kpc bins. The black dashed line is a weighted linear regression line fit to the grey data points. Arrows indicate the approximate location of the Perseus and Outer Arms (Reid et al., 2014). Note the vertical scale is more sensitive than in the equivalent and plots.

3.4 A and F star comparison - radial motion, asymmetric drift and vertex deviation

In order to determine if there are any intrinsic differences in the kinematics of the A and F stars measured, we examine the plane. Figure 6 shows the objects in the plane, split into two distance bins: an inner region (kpc) , and an outer region (kpc) . There are a total of 235 stars (113 A and 122 F) in the inner region, and 117 stars (93 A and 24 F) in the outer region. Similarly, figure 7 shows the objects in the plane, in distance bins of (kpc) , and (kpc) . The distance bins are better sampled than at , with 420 stars (225 A and 195 F) in the inner region and 257 stars (185 A and 72 F) in the outer region. We compare the kinematics of the two stellar types in each distance bin, keeping in mind that the inner bin of each sightline has the largest sample size and most comparable number of A and F stars, and the sightline in general has the larger number of stars, providing the more robust statistics.

3.4.1 Radial motion

The median values (vertical dashed lines) are consistent within 1 for the different stellar types in both distance bins at . However in the better sampled distance bins, the value for A stars is positively offset from the F stars by  km s. It is not obvious (to us) why these population samples should exhibit this difference in both the distance regions. Nevertheless, both stellar groups exhibit a positive (inward) radial motion inside  kpc, while outwards motion is the norm beyond this radius.

3.4.2 Asymmetric drift

A slight lag in azimuthal velocity of F stars compared to A stars would not be a surprise, since they are slightly older and hence have been subject to larger kinematic scatter and have had more time to build up asymmetric drift. For our sample, the median values (horizontal dashed lines) are consistent to within 1 in all panels in both sightlines, except for the outer region where the F stars lag the A stars by  km s. This is the least populated distance bin with only 24 F stars, and hence the result is accompanied by significant error. Hence, our results indicate the difference in asymmetric drift between A and F stars is negligible.

Asymmetric drift, , in young stars is small, but the exact magnitude expected for A and F stars is not well known. Dehnen & Binney (1998) use Hipparcos data to study the kinematics of main sequence stars as a function of colour. Figure 10.12 of Binney & Merrifield (1998) shows the values of their sample. For late A stars with , they find  km s, and for early F stars with , they find  km s. Robin et al. (2017) model the asymmetric drift as a function of and , and similarly find for stars younger than 1 Gyr the asymmetric drift is  km s in the plane of the disk, increasing by just  km s for stars aged  Gyr. Kawata et al. (2018b) apply an axisymmetric disk model to 218 Galactic Cepheids - young objects like those in our sample - and find negligible asymmetric drift of  km s at . Clearly the consistent theme from previous work is that A/F star asymmetric drift is small and hence will not significantly affect our measured rotation curve.

Figure 6: The objects in the u-v plane split into two distance ranges: an inner region (kpc) (left), and an outer region (kpc) (right). Blue circles represent A stars and red crosses represent F stars. The blue (red) dashed lines show the median u and v values for A (F) stars. The black dashed (dotted) lines show the velocity ellipsoid and its major axis, defining the vertex deviation, for the A (F) stars.
Figure 7: The objects in the u-v plane, split into two distance ranges: an inner region (kpc) (left), and an outer region (kpc) (right). Blue circles represent A stars and red crosses represent F stars. The blue (red) dashed lines show the median u and v values for A (F) stars. The black dashed (dotted) lines show the velocity ellipsoid and its major axis, defining the vertex deviation, for the A (F) stars.

3.4.3 Vertex deviation

For the distance ranges with comparable numbers of A and F stars, we calculate the vertex deviation for the two stellar types. The vertex deviation, , is the Galactic longitude at which the principal (or major) axis of the velocity ellipsoid is aligned, given by

(3)

where and are the velocity dispersions in the and velocity components (see table 1), and , with the superposed bar representing the average. Following Vorobyov & Theis (2006) and to account for possible large deviations, we correct with

(4)

We determine the vertex deviation and its uncertainty for the A and F samples using Monte Carlo simulations, drawing each and value from a gaussian distribution with spread determined by their individual errors, and calculating with this drawn sample. We do this 1000 times, and take the mean and standard deviation of the resulting distribution as the measured vertex deviation and its corresponding uncertainty. The left panels of figures 6 and 7 show the velocity ellipsoid and principal axis drawn for A stars and F stars. The vertex deviations and velocity dispersions perpendicular to the principal axis, , are detailed in table 1, along with the ratio of the minor to major axis dispersions, .

At the vertex deviations are for the A stars and for the F stars. The ratio of velocity dispersion of the minor and major axes is for the A stars and for the F stars, implying the ellipsoids are well-defined. At we see a large difference in the vertex deviation of the F stars compared to the A stars. For the A stars, is , whereas for the F stars it is . However the F star vertex deviation has significant uncertainty and the ellipsoid is less elliptical with .

The magnitudes of our measured vertex deviations in the better-sampled sightline are comparable with those from Dehnen & Binney (1998), who use Hipparcos data of the Solar Neighbourhood to determine the vertex deviation of late F stars (with ) to be , rising to for early A stars (with ). Note, however, that the sign of our result is opposite. Roca-Fàbrega et al. (2014) show that the sign of the vertex deviation changes when moving either across a spiral arm, or across a main resonance of the spiral arms (e.g. the Corotation radius or outer Lindblad resonance, OLR). In the two distance ranges over which is calculated, the majority of the stars lie beyond where a spiral arm is believed to be located (Reid et al., 2014). The sign of our measured vertex deviation is potentially a response to this. To test this, a larger sample size on the near-side (far-side) of the Perseus (Outer) Arm is required.

Sightline & distance A/F (kms) (kms) (deg)
178
(kpc)
A
F
118
(kpc)
A
F
Table 1: Velocity dispersions and vertex deviations for the A and F stars at  kpc at and  kpc at . and are dispersions along the Galactocentric radial and azimuthal directions, and and are dispersions along the principal axes of the velocity ellipsoid.

4 Discussion

The perturbation of stellar kinematics is an effect of a non-axisymmetric Galactic potential. It is well known that the Milky Way hosts a central bar and spiral structure, and hence the potential departs from axisymmetry. It is then to be expected that we find structure in the observed velocity profiles. In order to fully explain our results, the effects of all non-axisymmetric perturbers should be considered simultaneously, but as stated in Minchev & Famaey (2010), the individual effects of these perturbers do not add up linearly. However, we cautiously proceed to examine our results and discuss possible explanations for our findings.

4.1 The central bar

The central bar perturbs the velocity field near its natural resonances (Contopoulos & Papayannopoulos, 1980; Dehnen, 2000; Mühlbauer & Dehnen, 2003; Binney & Tremaine, 2008). The general picture is as follows. Inside the OLR, stellar orbits become elongated perpendicular to the major axis of the bar. Outside the OLR, they become elongated parallel to the bar. The elongation of these orbits result in perturbations of the Galactocentric radial velocity that depend on the radius of the orbit and the angle relative to the bar’s major axis, . The perturbations are strongest close to the radius of the OLR, and are modulated by resulting in the radial gradient being strongest at e.g. . The bar pattern speed, and consequently the location of the OLR, continues to be debated (e.g. Portail et al., 2015; Sormani, Binney & Magorrian, 2015), with estimates ranging between and  kpc.

Mühlbauer & Dehnen (2003) (hereafter MD03) modelled the effect of the Galactic bar on the outer disk, locating the OLR at . They found that the magnitude of the measured radial perturbation in the dominant mode is dependent on the radial velocity dispersion of the population, and hence stellar age. The signature is more pronounced for younger stars thanks to less radial smoothing (see MD03 figure 4). Across the OLR, a sharp step-like feature is predicted in the perturbation as the sign of switches from negative to positive with a total amplitude of  km s for younger populations. With increasing beyond the OLR, this perturbation dies away until, in MD03’s model, it is negligible at (or  kpc). The magnitude of perturbation scales with the strength of the bar potential. Perturbations from higher order modes such as are also expected, but their magnitude of effect is considerably smaller – as recently confirmed by Hunt & Bovy (2018) who explored a range of bar models.

At , ranges from (for a bar oriented at , see figure 1),whereas at . Since bar perturbation is strongest at , a weaker signal is expected at than at . However, comparing our profiles, the overall amplitude of change in at is greater than at . Additionally, there is no clear evidence of the sign switch toward more positive signalling the OLR, and so the data do not inform us about the location of the OLR. We have to conclude bar perturbation is not the dominant factor shaping the observed radial velocity profiles.

4.2 Spiral structure

Spiral arms also give rise to non-axisymmetric perturbation. The scale of perturbation expected depends on the model adopted for the creation of the spiral arms. For example, Monari, Famaey & Siebert (2016) find Galactocentric radial velocity perturbations of order  km s within and between the arms, by simulating the effect of a spiral potential on the Milky Way thin stellar disk. Observationally, Grosbl & Carraro (2018) support this by using B and A type stars in the Galactic centre direction to measure radial perturbations of  km s, and although they focus on density wave theory their results can not exclude a transient perturbation.

Examining our results at , the wiggles in the mean trend of in figure 3 do not correlate with the location of spiral arms (black arrows), and seem to have a wavelength too short to link to spiral arm perturbations expected from spiral density wave theory. These bumps could be noise due to low-number statistics. At we see a small bump in the trend at  kpc, slightly further out than the Perseus Arm, and also possibly at  kpc, close to the Outer Arm, but it is difficult to determine if these are real features or if again, they are noise. This was already evident in the results of H18.

Studies favouring the transient winding arm view predict a change in the velocity field across spiral arms. The general picture of a spiral arm in its mid-life phase is that, on the trailing side of the arm, stars rotate more slowly and move radially outwards, whereas stars on the leading side rotate faster and move radially inwards (Grand, Kawata & Cropper, 2012; Kawata et al., 2014). Grand et al. (2016) consider the transient winding arm model and find the radial perturbation of young stars ( Gyr) to be considerably stronger at up to  km s across the loci of the arm. They find the azimuthal perturbation to be of order  km s. Baba et al. (2018) (hereafter B18) use Cepheids with Gaia DR1 data to confirm a velocity field that changes on crossing the Perseus Arm. However, they measure the trailing side to be rotating faster and moving inward toward the Galactic centre compared to the leading side - i.e of opposite sense to a transient arm in its mid-life phase. They attribute this pattern to the arm being in the disruption phase.

In order to test whether there is a difference in the velocity field on either side of an arm, as predicted from transient winding arm theory, we follow the concept of B18 and compare median and values within  kpc of the locus of the Outer Arm (as determined by Reid et al., 2014). We restrict our analysis to the Outer Arm since we have comparable sample sizes for the two (leading & trailing) sides in both sightlines. Our results are summarised in table 2. In our sightlines the trailing side of the arm has a smaller than the leading.

The median and values are consistent within 1 errors across the Outer Arm at , going against expectations of transient winding arm theory. However, there is a significant difference in median values and values on either side of the Arm at . The leading side is rotating faster than the trailing side. At the same time, the arm is migrating radially outwards on the whole, but the leading side is moving faster and hence the Arm appears to be expanding in this sightline. This points to a combination of and perturbations that do not fit consistently with the mid-life stage of the transient winding arm model.

u v N
Trailing 94
Leading 35
Trailing 169
Leading 61
Table 2: Median u and v values (km s) for the trailing side and leading side of the Outer Arm at (top rows) and (bottom rows) . The number of objects in each subsample is also shown.

4.3 Satellites and the warp

Perturbations of vertical velocities can arise due to the passage of a satellite galaxy through the Galactic disk. Gómez et al. (2013) simulate the vertical density waves induced by the Sagittarius dwarf galaxy, and find vertical velocity perturbations of up to  km s in the outer disk. Antoja et al. (2018) explore the vertical phase-space of more than 6 million Gaia DR2 stars and reveal a spiral-like distribution which could be caused by the latest passage of the Sagittarius dwarf galaxy, between 300 and 900 Myr ago. Additionally, large-scale systematic vertical velocities are expected due to the warp in the anticentre region. Poggio et al. (2018) confirm this using Gaia DR2 kinematics of both upper main sequence stars and giants, measuring an increase in vertical velocity of  km s over  kpc (i.e  km s kpc).

As noted in section 3.3, we observe a statistically significant positive gradient of  km s kpc at . This is in good agreement with the gradient measured in Poggio et al. (2018) due to the warp. The kinematic response to the warp is expected to be strongest in the anticentre direction, and hence it is unsurprising that we measure a steeper gradient at than at . The oscillations observed in vertical velocity at may be a kinematic signature from a satellite crossing the plane of the Milky Way, such as the Sagittarius dwarf galaxy as discussed in Gómez et al. (2013). It is expected that perturbations of this type present as mainly radially-dependent perturbations throughout the disk (see figure 5 of Gómez et al., 2013). However, we do not observe obviously correlated perturbations in the sightline, which somewhat complicates the picture.

5 Conclusions

We have reused the sample of A and F stars from H18 with their radial velocities and spectro-photometric distances, and crossmatched with Gaia DR2 to bring in proper motions in order to obtain full space motions. Our spectro-photometric distance scale reaches almost twice as far as those that can be inferred from Gaia DR2 parallaxes. For example, Kawata et al. (2018a) use Gaia DR2 parallaxes to sample out to  kpc - a distance of under 4 kpc from the Sun in the anticentre direction, whereas our spectro-photometric scale extends to  kpc - almost 7 kpc from the Sun in the anticentre direction. We have examined the profile of radial, azimuthal and vertical velocities with Galactocentric radius. Our main results are:

  • We measure the rotation curve in the anticentre direction to be roughly flat (figure 4), at a value that is  km s slower than the speed of the Sun. This confirms the recent work of Kawata et al. (2018a), but with the use of our spectro-photometric distances we extend this result to just short of  kpc.

  • The rotation curve at is different from that at - it rises outwards from  kpc. We measure an increase of circular speed of roughly  km s in the range (kpc) , from  km s to  km s. Additionally, we note the significance of the behaviour in the determination of the rotation curve. In H18, our previous study, only radial velocity data were available and hence an assumption about the mean behaviour as a function of was required. This resulted in a rotation curve with a steeper incline than here. By making use of the full space motions, as we do here, a rising rotation curve is still apparent but moderated compared to that of H18.

  • The gradient in the Galactocentric radial velocity profile () is surprisingly steep at compared to the more gentle gradient found at that has also been reported in previous studies (see figure 3). This rules out the central bar as a dominant perturber shaping the profile. We also find no consistent interpretation of our Outer Arm velocities in terms of the transient winding arm model. Additionally, we find that radial expansion at large radii is observed in both sightlines. It is apparent that in order to fully explain our results, a model encompassing all perturbers simultaneously may be required.

  • The vertical velocity profile in the anticentre direction has a positive gradient of  km s which could be a signature of the warp in the outer disc. This profile also shows some oscillation. Previous studies have also noted this. This is not replicated in the direction.

  • We have separated and compared the median in-plane velocities and vertex deviations of the A and F stars. At the radial velocity of the A stars is larger than that of the F stars by  km s, however at there is no perceptible difference between the two types of star. Why the A and F stars at should exhibit so marked a difference out to large is unclear. The azimuthal velocities are broadly consistent between the two populations. This implies that asymmetric drift is comparable for A and F stars.

For this work we are priviledged to have full space motions of our sample and hence are able to reframe them as Galactocentric velocities with no prior assumptions. By examining only two sightlines in the outer disk, we have demonstrated the significant kinematic variations resulting from the real non-axisymmetric Galactic disk. The need grows to acknowledge departures from a simple uniform rotation law for the Galactic disk. A rotation law that deviates from the often-used flat law has strong consequences for kinematic distance determinations. For example, an object that is really at a distance of  kpc at would deliver a radial velocity that would return a distance of  kpc if the assumed rotation law was the same flat law as applies at . This is an error in the region of .

There is a history of reported velocity anomalies in a longitude range that includes the sightline. Brand & Blitz (1993), for instance, presented a map of observed H ii region radial velocities projected onto the Galactic plane, revealing surprisingly little variation of radial velocity over the range . Russeil (2003) reported a departure of  km s from mean circular speed related to the Perseus Arm over . CO and H i data, as presented in Reid et al. (2016), favour differing velocities in this longitude range, with H i prefering typically more negative radial velocities than the CO, to the tune of  km s. Further studies like the one here will begin to fill out the picture of how exactly such anomalies arise and set contraints on their origin.

The opportunities for the kind of work presented here will increase as the next generation of massively-multiplexed spectrographs come into use. As an example, the WHT (William Herschel Telescope) Enhanced Area Velocity Explorer (WEAVE, Dalton et al., 2016) will complete the kinematics of the northern hemisphere stars, capturing much of the outer Galactic disk. Here, and in H18, we have established a method that can turn results on younger earlier-type stars from such a facility into new and distinctive insights into disk structure.

6 Acknowledgements

We thank Walter Dehnen for helpful comments regarding perturbations from the central bar. We are also grateful to the anonymous referee for useful comments which helped to improve the paper. AH acknowledges support from the UK’s Science and Technology Facilities Council (STFC), grant no. ST/K502029/1. JED and MM acknowledge funding via STFC grants ST/J001333/1 and ST/M001008/1. 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.

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Appendix A Table of data

The data used in this paper is available through CDS. Table 3 details the presented columns.

Column Label Units Description
1 ID Target ID
2 RAJ2000 deg Right ascension (J2000.0)
3 DEJ2000 deg Declination (J2000.0)
4 GLON deg Galactic longitude
5 GLAT deg Galactic latitude
6 HRV km s Heliocentric radial velocity
7 e_HRV km s Radial velocity negative error
8 E_HRV km s Radial velocity positive error
9 Dist kpc Heliocentric distance
10 e_Dist kpc Heliocentric distance error
11 RG kpc Galactocentric distance
12 e_RG kpc Galactocentric distance error
13 SourceID Gaia Source ID
14 pmlcosb mas yr Proper motion in Galactic longitude direction (multiplied by (b) factor)
15 e_pmlcosb mas yr Error of proper motion in Galactic longitude direction
16 pmb mas yr Proper motion in Galactic latitude direction
17 e_pmb mas yr Error of proper motion in Galactic latitude direction
18 u km s Galactocentric radial velocity
19 e_u km s Galactocentric radial velocity error
20 v km s Galactocentric azimuthal velocity
21 e_v km s Galactocentric azimuthal velocity error
22 w km s Galactocentric vertical velocity
23 e_w km s Galactocentric vertical velocity error
Table 3: The columns presented in the table of data, available through CDS.
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