Constraining the Solar Galactic Reflex Velocity using Gaia Observations of the Sagittarius Stream

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Published 2018 November 1 © 2018. The American Astronomical Society. All rights reserved.
, , Citation Christian R. Hayes et al 2018 ApJL 867 L20 DOI 10.3847/2041-8213/aae9dd

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2041-8205/867/2/L20

Abstract

Because of its particular orientation around the Galaxy—i.e., in a plane nearly perpendicular to the Galactic plane and containing both the Sun and Galactic center—the Sagittarius (Sgr) stream provides a powerful means by which to measure the solar reflex velocity, and thereby infer the velocity of the Local Standard of Rest (LSR), in a way that is independent of assumptions about the solar Galactocentric distance. Moreover, the solar reflex velocity with respect to the stream is projected almost entirely into the proper motion component of Sgr stream stars perpendicular to the Sgr plane, which makes the inferred velocity relatively immune to most Sgr model assumptions. Using Gaia Data Release 2 proper motions of ∼2000 stars identified to be Sgr stream candidates in concert with the Law & Majewski Sgr N-body models (which provide a good match to the Gaia observations), we constrain the solar reflex velocity induced by its orbital motion around the Galaxy to be Θ = 253 ± 6 km s−1. Assuming a solar peculiar motion in the direction of orbital rotation of 12 km s−1, and an LSR velocity of 12 km s−1 with respect to the local circular speed, the implied circular speed of the Milky Way at the solar circle is 229 ± 6 km s−1.

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1. Introduction

It has been over 30 years since the International Astronomical Union addressed disparities in derived values of the solar Galactocentric distance, R0, and the Galactic circular rotation velocity at the Sun, Θ0, of ±1 kpc and ±20 km s−1, respectively, by recommending the adoption of R0 = 8.5 kpc and Θ0 = 220 km s−1 "in cases where standardization on a common set of galactic parameters is desirable."3 Despite continued work to establish these parameters, it seems that the dispersions in determinations have not significantly diminished.

Recent estimates of Θ0 span a wide range, 218–254 km s−1, including those from radio interferometric proper motion measures of star-forming regions (Bovy et al. 2009; Reid et al. 2009) and Sagittarius (Sgr) A* (Reid & Brunthaler 2004), as well as explorations of stellar kinematics from the APO Galactic Evolution Experiment (APOGEE; Bovy et al. 2012) and the Sloan Extension for Galactic Understanding and Exploration (SEGUE) surveys (Schönrich 2012), or the kinematics of Cepheids (Kawata et al. 2018); however, the latest of these studies have tended toward the middle of that range.

One source of uncertainty is that there is a degeneracy between the inferred Θ0 and inferred R0, for most measurement methods. Assessments are further complicated by the fact that the Sun has a peculiar motion with respect to the Local Standard of Rest (LSR), while the LSR may itself be moving with respect to a simple circular orbit around the Galaxy. Thus, Θ0 is typically entangled with the Θ-directional components of the solar peculiar motion and LSR motion. The latter are often simplified to the Galactic Cartesian counterparts ${V}_{\odot ,\mathrm{pec}}$ and ${V}_{\mathrm{LSR},\mathrm{pec}}$, respectively (as these velocities are often measured using an ensemble of nearby stars), so that, in cylindrical coordinates, the net revolutionary component of the Sun's motion is ${{\rm{\Theta }}}_{\odot }={{\rm{\Theta }}}_{0}+{V}_{\mathrm{LSR},\mathrm{pec}}+{V}_{\odot ,\mathrm{pec}}$. Values of ${V}_{\odot ,\mathrm{pec}}$ hover around 12 km s−1, and Bovy et al. (2012) claim that ${V}_{\mathrm{LSR},\mathrm{pec}}$ may also be as high as 12 km s−1.

In this Letter we focus on a new measurement of Θ. Majewski et al. (2006) demonstrated that the Sgr stream provides an effective means to measure Θ (from which ${{\rm{\Theta }}}_{\mathrm{LSR}}\,={{\rm{\Theta }}}_{0}+{V}_{\mathrm{LSR},\mathrm{pec}}$ and Θ0 can be inferred), independent of the assumed R0 or the precise shape of the Galactic mass distribution, and that avoids having to observe sources in the heavily crowded and dust-extinguished Galactic Center. The method exploits the favorable orientation of the Sgr stream, which is in a nearly polar orbit that intersects the Galactic plane virtually along the line between the Sun and the Galactic Center. In this orientation, the Sgr plane provides a non-rotating reference against which the solar motion may be measured, with almost all of the reflex motion imprinted on the proper motions of Sgr stars perpendicular to the stream. At the time of Majewski et al. (2006), the proper motions for known Sgr stream stars were not good enough to apply the method rigorously. However, exploiting proper motions of ∼1–2 mas yr−1 accuracy for ∼1–2 dozen spectroscopically confirmed Sgr stream stars in four fields along the Sgr trailing arm, Carlin et al. (2012) found that their proper motions were best reproduced by models similar to the (Law & Majewski 2010, hereafter LM10) Sgr destruction models but utilizing an LSR velocity of 264 ± 23 km s−1.

The second data release (DR2) from the ESA-Gaia mission (Gaia Collaboration et al. 2018a) now provides the opportunity make this measurement with a significantly larger sample of stars having proper motions an order of magnitude more precise.

2. Sagittarius Stream in Gaia

Red giants are ideal tracers of the Sgr stream, because they can be seen to large distances. Thus we initially selected stars from the Two Micron All Sky Survey (2MASS) catalog (Skrutskie et al. 2006) with J, H, and Ks magnitudes between 10 and 13.5, covering a range of colors and magnitudes where giant stars trace the Sgr stream (e.g., Majewski et al. 2003). Such stars were selected in a series of rectangular regions (selected to cover Sgr longitudes $| {B}_{\odot }| \lesssim 20^\circ $) on the sky around the trailing arm of the Sgr stream, which collectively span right ascensions from α = 320° to 75° and declinations −40° < δ < +40°, which corresponds to about 90° of the Sgr stream trailing arm. The selected stars were then cross-matched with the Gaia DR2 source catalog (Gaia Collaboration et al. 2018a) using the CDS X-match service4 adopting a 1'' positional tolerance.

While Gaia DR2 does not measure parallaxes to a precision sufficient enough to reach the distances of the Sgr stream, we can still identify and remove nearby Milky Way (MW) contamination using Gaia DR2 parallaxes. Stars with relative parallax uncertainties ${\sigma }_{\pi }/\pi \leqslant 0.2$ can provide relatively reliable distance measurements, and almost all such stars in our sample have 1/π < 10 kpc, which is considerably closer than the trailing arm of the Sgr stream (which ranges from about 20–40 kpc at different stream longitudes; Majewski et al. 2003; Koposov et al. 2012). We therefore remove all of these stars from our sample, and, although it seems counter-intuitive, we keep the stars with poor parallaxes, σπ/π > 0.2, which are primarily distant stars that we refer to as our "distant Gaia sample." To reduce the MW contamination in this distant Gaia sample further, we also removed stars at α > 50° and within 25° of the Galactic plane because these sky regions lie near the MW disk where contamination washes out the signature of the Sgr trailing arm.

The signature of the Sgr trailing arm is apparent as an arcing overdensity in the Gaia DR2 proper motion vector point diagram (PMVPD) for our distant Gaia sample (Figure 1, lower-left panel), so we trimmed in the PMVPD around the overdensity using −4 mas yr−1 < μα cosδ < 2 mas yr−1 and −6 mas yr−1 < μδ < 1 mas yr−1. When restricting to these low proper motions, the stars in the Sgr trailing arm stand out with proper motion position angles (ϕμ) that are coherent and nearly linear with right ascension (Figure 1, top-left panel). The small scatter around this linear trend in ϕμ arises because the Sgr stream is kinematically cold, and provides an opportunity to greatly refine our selection of Sgr trailing arm candidates. However, elevated MW contamination at some α makes a simple linear fit to the data challenging, even with σ-clipping to reduce the noise. To avoid this problem, we apply the DBSCAN clustering algorithm (a density-based clustering algorithm that builds clusters of a given density; Ester et al. 1996) to the proper motion cut stars between −20° < α < 20°, where the Sgr trailing arm feature is most free of MW contamination. This allows us to select the Sgr trailing arm feature in a reproducible manner, and use it to extract the feature at right ascensions where the contamination is more considerable.

Figure 1.

Figure 1. Bottom panels: proper motion vector point diagrams showing (bottom left) the distribution of proper motions in our distant Gaia sample (gray points), the restricted proper motion selection we use (black points), and the final Sgr trailing arm candidates (red points, bottom right). Top panels: proper motion position angle (ϕμ) as a function of right ascension (α), demonstrating (top left) the distinct, narrow, linear distribution of Sgr trailing arm stars, and (top right) the criteria for selecting our final sample of Sgr trailing arm candidates. The overplotted solid blue line (top right) is the linear fit to the DBSCAN selected "Sgr cluster" (blue points), and the shaded blue region bounded by dashed blue lines is the 3σ dispersion around this fit. The Sgr trailing arm candidates include the stars within the latter region (blue points) and those within 3σ of the extrapolation of this fit to the plot boundaries (red points).

Standard image High-resolution image

Setting DBSCAN input parameters epsilon = 5 and N = 100, with no normalization of ϕμ or α, the DBSCAN algorithm appears clearly to identify a cluster associated with the Sgr trailing arm feature (blue points in the top-right panel of Figure 1). We fit a line to this DBSCAN-identified cluster and calculated the dispersion (σ) in the residuals to this fit. We extend this Sgr stream candidate selection outside of the −20° < α < 20° range by extrapolating the fitted line and select stars within 3σ using this calculated dispersion. To measure the remnant contamination, in the same parameter space we count the number of stars in a region of the same shape/size just above and below our Sgr stream selection, which we average and compare to the number of selected stream candidates to estimate a contamination of about 16%. This selection therefore includes the DBSCAN selected stars (blue) and the extended sample (red) shown in the right panels of Figure 1.

Finally, we trim the selected stars to Sgr orbital longitudes Λ = 30°–115° (so that the selection box cuts at right angles across the stream) and reject stars with proper motion errors in ${\mu }_{\alpha }\cos \delta $ or μδ greater than 0.2 mas yr−1. This results in a final sample of 1963 candidate Sgr Stream stars, with an estimated contamination of 16%.

The bottom-right panel of Figure 1 shows that the arcing overdensity seen by eye in the PMVPD is due to the Sgr trailing arm as traced by these candidates. However, as seen in the top panels of Figure 1, there is still a higher level of contamination at either end of the α-range of our sample, particularly at α ≳ 30°. Moreover, in the μδ distribution of our Sgr trailing arm candidates there appears to be a tail toward values below ∼−4 mas yr−1. This low-density, low μδ tail is not found in the Sgr stream models discussed below and is likely remnant MW contamination.

3. Sagittarius Stream N-body Models

If the Sgr stream were on a perfectly polar orbit in the Galactic X − Z plane5 with no orbital precession along the stream, any systematic motion of the stream out of its orbital plane would be entirely due to the Sun's own reflex motion, which could then be measured directly from the data. In reality, Sgr is not on a purely polar orbit, the orbital plane is not precisely aligned with the Galactic X − Z axis, and the observed tidal streams precess slightly with increasing distance from the Sgr core. Therefore, we must compare the observations against N-body models that properly incorporate these various effects.

We do so using the LM10 model, which is well fit to the observed run of Sgr stream angular positions, radial velocities, and distances throughout the Λ = 30°–115° range of the trailing arm. Despite the inability of this model to reproduce some key features of the broader Sgr–MW system (particularly, the bifurcation of the stream and the large apocentric distance for the trailing arm at Λ ∼ 180°), it nonetheless remains the best-constrained model at the orbital longitudes considered here. Indeed, this particular section of the stream is easy to fit regardless of the assumptions made about the depth and detailed shape of the Galactic gravitational potential (in contrast to the leading arm for which a triaxial halo is necessary to fit both the angular positions and radial velocities simultaneously; Law et al. 2009). As discussed by LM10 (see also the discussion by Law et al. 2005), the dynamically young trailing arm has little power to constrain the shape of the Galactic dark matter halo and can be equally well fit in an oblate, spherical, prolate, or triaxial potential, and regardless of the exact distance to the Sgr core, the distance to the Galactic center, or the overall normalization of the depth of the Galactic gravitational potential via the local circular speed Θ0.

The insensitivity to various factors is exactly what makes the trailing arm ideal for this study: for these stars a single and interesting model parameter, Θ0, is strongly coupled to a single observational parameter, which is one dimension of their proper motion. In previous studies, for widely varying values of Θ0, the tangential velocity of the Sgr core along its orbit—hitherto largely unconstrained given the uncertainties of past proper motion studies—could be dialed to optimize the match of the implied radial velocities along the trailing stream to available observations. Now, with the new proper motion constraints available from Gaia, we can discriminate between models having different values of Θ0 and constrain the solar reflex velocity.

Carlin et al. (2012) reproduced the LM10 analysis (which assumed Θ0 = 220 km s−1), but for a range of different values of Θ0 = 190–310 km s−1 (sampled every 30 km s−1, along with two "best-fit" cases where Θ0 = 232 km s−1 and 264 km s−1). Because the dark matter halo contributes minimally within the solar circle, these models were realized by scaling the Galactic bulge/disk mass jointly to produce the desired local circular speed. The details of these models are discussed in LM10 and Carlin et al. (2012), and in brief, assume a three-component Galactic mass distribution consisting of a Hernquist spheroid, Miyamoto-Nagai disk, and a triaxial logarithmic dark matter halo with minor/major axis ratio ${(c/a)}_{{\rm{\Phi }}}=0.72$, intermediate/major axis ratio ${(b/a)}_{{\rm{\Phi }}}=0.99$, and the minor axis pointing toward $(l,b)=(7^\circ ,0^\circ )$. The Sgr dwarf within this Galactic gravitational potential is constrained to lie at $(l,b)=(5\buildrel{\circ}\over{.} 6,-14\buildrel{\circ}\over{.} 2)$, a distance of 28 kpc, and a heliocentric radial velocity ${v}_{\mathrm{hel}}=142.1$ km s−1, with leading and trailing arms that match observed trends of angular position and radial velocity along orbital longitude of the stream. Each model assumed that the solar peculiar motion with respect to the local circular speed was given by $(U,V,W)=(-9,12,7)$ km s−1 in a left-handed coordinate frame (Cox 2000), for a range in solar reflex velocities of Θ = 202–322 km s−1.

4. Discussion

As illustrated in Figure 2, the LM10 model (middle column) continues to be a good match to observations of the Sgr stream in the Λ = 30°–115° range of the trailing tail, despite the fact that no proper motions were used to constrain the model. This is perhaps unsurprising given that LM10 tuned the other four dimensions of phase space to reproduce all of the observational data available at the time. We note, however, that the run of proper motions in the declination direction is not quite a perfect match to the Gaia observations; furthermore, versions of the LM10 model in potentials with slower or faster circular speeds (left and right columns, respectively) result in linear shifts of the model in μδ while remaining almost unchanged in ${\mu }_{\alpha }\cos \delta $ and heliocentric radial velocity.

Figure 2.

Figure 2. Sgr stream models with different solar reflex velocities compared to observational data as a function of stream longitude Λ. The middle column shows the LM10 model, while the left-/right-hand columns show models with slower/faster reflex velocities, respectively. Top row: proper motion along α. Middle row: proper motion along δ. Bottom row: heliocentric radial velocity. In the top two rows black points represent the Gaia observations, while in the bottom row black points represent M-giant observations from Majewski et al. (2004). Green points represent N-body simulated tidal debris. Solid white/red lines in all panels represent 2σ-clipped spline model fits to the observed/simulated data, respectively, to guide the eye.

Standard image High-resolution image

This situation arises because of another fortuitous orientation of the Sgr stream with respect to celestial coordinates. In N-body models where the MW circular speed is larger, the proper motion of model stars in the direction perpendicular to the Sgr plane is larger due to the greater solar reflex motion. As the model Sgr dwarf must be made to move faster along its orbit to compensate for the deeper gravitational potential, these model stars also have faster motion within the Sgr plane. In the trailing stream, the vector addition of these components is such that the net change in proper motion for stream stars between different models happens to be almost entirely along μδ.

As we show in Figure 3 (left-hand panel), the difference between the (2σ-clipped) mean proper motion of the N-body models versus the observed stream is nearly constant with Λ, such that the model with reflex velocity Θ = 202 km s−1 is systematically offset by about +0.5 mas yr−1 (purple curve), whereas the model with Θ = 322 km s−1 is offset by about −0.6 mas yr−1 (red curve). The consistency of these systematic differences suggests that we can average these offsets over orbital longitude to obtain a single value $\langle {\rm{\Delta }}{\mu }_{\delta }\rangle $ describing the N-body model stream offset from the Gaia proper motions for different Θ (Figure 3, right-hand panel). This relation is well described by a simple linear fit to within observational uncertainty. By taking this fit (and the 1σ uncertainties therein) we solve for the $\langle {\rm{\Delta }}{\mu }_{\delta }\rangle =0$ km s−1 crossing point and determine that this occurs at Θ = 253 ± 5 km s−1. Limiting our analysis to the DBSCAN selection α-range where contamination is minimal, Λ ∼ 52–80, we find Θ = 247 ± 9 km s−1, which is a slightly lower value but one that is more uncertain because the sample is three times smaller. This result has a larger uncertainty and results in less than a 1σ difference, therefore we proceed with Θ derived from the full sample.

Figure 3.

Figure 3. Left panel: difference in μδ proper motion between the observations and the seven N-body models (colored lines) in 10 bins (each containing the same number of stars) along orbital longitude Λ. Error bars represent the 1σ uncertainty in the mean for each bin. Right panel: mean difference in μδ averaged over all longitude bins as a function of solar reflex velocity Θ (black points with 1σ error bars). The solid red line and shaded red region represent the best first-order polynomial fit and associated 1σ uncertainty. The zero-crossing point is located at Θ = 253 ± 5 km s−1.

Standard image High-resolution image

An estimate of the possible systematic uncertainty in this measurement can be obtained by comparing the proper motion of the Sgr core in these N-body models with the Gaia observations. Because the models adopted an orbital pole defined by the path of the tidal streams (Majewski et al. 2003), varying Θ in these models describes a linear relation in the PMVPD for the Sgr core (see Figure 2.8 of Law & Majewski 2016) according to the speed of Sgr along its orbit perpendicular to the line of sight (dialed up and down to compensate for the altered Galactic potential following from changes in Θ0). The observed Gaia proper motion of the Sgr core ($({\mu }_{\alpha }\cos \delta ,{\mu }_{\delta })=(-2.692,-1.359)$ mas yr−1; Gaia Collaboration et al. 2018b) lies slightly off this relation by about 0.15 mas yr−1, but is most consistent with a choice of Θ = 256 km s−1. We therefore adopt 3 km s−1 (the difference between this value and the value derived from fitting the trailing stream) as our systematic uncertainty; by combining systematic and random uncertainty terms our final estimate of the solar reflex velocity is Θ = 253 ± 6 km s−1.

This measurement is consistent with both the values of ${{\rm{\Theta }}}_{\odot }={242}_{-3}^{+10}$ km s−1 obtained by Bovy et al. (2012)6 and Θ = 256 ± 17 km s−1 obtained by Carlin et al. (2012, using all observable constraints applied to their highest-purity fields) to within 1σ. Meanwhile, combining the proper motion of Sgr A* in the Galactic Plane, μl = 6.379 ± 0.026 mas yr−1 (Reid & Brunthaler 2004), with the recent, high-precision measure of R0 = 8.122 ± 0.031 kpc from Gravity Collaboration et al. (2018) yields a value of Θ = 245.6 ± 1.4 km s−1. Combining the uncertainties on this R0 dependent measure of Θ and the Θ reported here, there is a 1.2σ difference between the two results, which is still a reasonable agreement. While the reflex motion measured with respect to Sgr A* nominally provides higher precision, our estimate is an important, independent probe using a method that does not depend on the Galactocentric radius of the Sun. If we assume that ${V}_{\odot ,\mathrm{pec}}=12$ km s−1 and likewise follow Bovy et al. (2012) in assuming that ${V}_{\mathrm{LSR},\mathrm{pec}}=12$ km s−1, then our results imply a local MW circular velocity of Θ0 = 229 ± 6 km s−1.

We note that the overall 6 km s−1 uncertainty in our estimate of the solar reflex velocity is driven primarily by the large intrinsic width of the stream. In both the observations and N-body models the 1σ width of the μδ distribution is about 0.5 mas yr−1; with 10 longitude bins each containing about 200 stars, this translates to an uncertainty of about 11 μas yr−1 in the mean. Similar efforts using dynamically colder streams may be able to obtain more precise results, and such generalizations of our method to arbitrary streams appear promising (Malhan & Ibata 2017).

We thank the referee for helpful comments. This research made use of topcat (Taylor 2005). C.R.H. acknowledges the NSF Graduate Research Fellowship through grant DGE-1315231.

Footnotes

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10.3847/2041-8213/aae9dd