Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-10T20:33:48.149Z Has data issue: false hasContentIssue false

Correlations between Kinematics and Metallicity in the Galactic Bulge: A Review

Published online by Cambridge University Press:  28 June 2016

Carine Babusiaux*
Affiliation:
GEPI, Observatoire de Paris, PSL Research University, CNRS, Université Paris Diderot, Sorbonne Paris Cité; 5 Place Jules Janssen 92195 Meudon, France
Rights & Permissions [Opens in a new window]

Abstract

Recent large-scale surveys of galactic bulge stars allowed to build a detailed map of the bulge kinematics. The bulge exhibits cylindrical rotation consistent with a disky origin which evolved through bar-driven secular evolution. However, correlations between metallicity and kinematics complicate this picture. In particular a metal-poor component with distinct kinematic signatures has been detected. Its origin, density profile and link with the other Milky Way stellar populations are currently still poorly constrained.

Type
Galactic Bulge
Copyright
Copyright © Astronomical Society of Australia 2016 

1 INTRODUCTION

Two main scenarios, with very different signatures, have been invoked for bulge formation. The first scenario corresponds to the gravitational collapse of a primordial gas and/or to the hierarchical merging of sub-clumps and leads to what is called a classical bulge. In those cases, the bulge formed before the disc and the star-formation time-scale was short. The resulting stars are old, present enhancements of α-elements relative to iron and isotropic kinematics. The second scenario is secular evolution of the disc through a bar forming a pseudo-bulge. The bar heats the disc in the vertical direction, giving rise to the typical boxy/peanut aspect. The resulting bulge presents bar-driven kinematics and age and chemistry corresponding to the properties of the disc at the bar-formation time. Further star formation are expected to be induced by the bar-driving gas towards the galactic centre and by shocks at the bar end.

The first suggestion for the presence of a bar in the Galactic inner regions came from gas kinematics (de Vaucouleurs Reference de Vaucouleurs and Kerr1964) showing strong non circular motion. The presence of a bar is now firmly confirmed both from the overall peanut shape of the bulge and its kinematics. But is there also a more primordial population in the bulge which could correspond to the first scenario? Recent large-scale studies of the bulge kinematics are trying to answer this question. We will review them here together with some studies of specific tracers. Section 2 and 3 review the kinematics of the youngest and oldest bulge populations respectively. In Section 4, the global kinematics of the bulge through large surveys is summarized. Section 5 presents the detection of bar-induced streaming motion. Section 6 study the global variation of kinematics as a function of metallicity for the main populations. Section 7 study the different interpretations in terms of population of those different kinematic behaviour. A short conclusion is given in Section 8.

2 KINEMATICS OF YOUNG METAL-RICH POPULATION TRACERS

The youngest stars lie close to their birth place and follow the main gas structures. The gas kinematics are represented in the well-known longitude–velocity (lv) diagram illustrated in Figure 1. The Galactic Molecular Ring (GMR) dominates the gas lv diagram. This prominent feature marks a region of enhanced molecular density at Galactocentric radii between 4 and 6 kpc and is usually used to define the ‘inner’ regions of our Galaxy. It may not be an actual ring but the inner parts of the spiral arms (e.g. Dobbs & Burkert Reference Dobbs and Burkert2012). The near and far 3 kpc arms are symmetric lateral arms that contour the bar (Dame & Thaddeus Reference Dame and Thaddeus2008). The Central Molecular Zone (CMZ) seems to be the gas response to an inner bar (Sawada et al. Reference Sawada, Hasegawa, Handa and Cohen2004; Rodriguez-Fernandez & Combes Reference Rodriguez-Fernandez and Combes2008) and could correspond to the inner Lindblad resonance of the main bar. While the main bar is supported by x1 orbits (elliptical orbits which are more elongated towards the inner regions, see Figure 2), the CMZ seem to mark the switch to the x2 orbit family (orbits lying inside the inner most cusped x1 orbit, oriented perpendicular to the x1 orbits). The Connecting Arm could correspond to the bar near-side dust lane created by the shock front and plunging towards the CMZ (Fux Reference Fux1999).

Figure 1. Figure adapted from Rodriguez-Fernandez & Combes (Reference Rodriguez-Fernandez and Combes2008): Longitude–velocity (lv) diagram of the CO(1–0) emission (Dame, Hartmann, & Thaddeus Reference Dame, Hartmann and Thaddeus2001). The solid lines trace the position of some remarkable features such as the locus of the spiral arms, the 3 kpc near and far arms and the Connecting Arm. The black-dashed lines indicate the contour of the Galactic Molecular Ring. The solid circles and triangles are the terminal velocities measurements. The boxes mark the position of the spiral arms tangent points. The lines concerning the Nuclear Disk or Central Molecular Zone are in blue.

Figure 2. Schematic representation of the main bar-driven motions. The schema is adapted from Athanassoula (Reference Athanassoula1992) showing some periodic orbits of the x1 family which are the backbones of the bar together with the bar outline as a dotted line. The schema has been oriented at a bar angle ϕ of 20°.

Maser emissions, seen around star forming regions and young asymptotic giant branch (AGB) stars (with ages typically 0.2 to 2 Gyr), are tracing young galactic structures. Masers distribution in the lv diagram, for both OH and SiO masers, shows an overall agreement with the gas one and the presence of forbidden regions, in agreement with a motion in a bar like potential (e.g. Deguchi et al. Reference Deguchi2004; Habing et al. Reference Habing, Sevenster, Messineo, van de Ven and Kuijken2006). Masers are also observed at relatively high latitude (|b| > 5°). Izumiura et al. (Reference Izumiura, Deguchi, Hashimoto, Nakada, Onaka, Ono, Ukita and Yamamura1995) noted the difference in radial velocity dispersion with latitude, the higher dispersion being in the inner regions. Parallaxes to some of those masers stars are now available allowing a 3D positioning of the lv diagram features (Sanna et al. Reference Sanna2014). Both their velocities and their spatial distribution indicate that those stars belong to the Galactic bar and they have been largely used to derive bar parameters (e.g. Sevenster et al. Reference Sevenster, Saha, Valls-Gabaud and Fux1999; Debattista, Gerhard, & Sevenster Reference Debattista, Gerhard and Sevenster2002).

Classical Cepheids, standard candles with ages lower than ~ 300 Myr would be ideal tracers of the kinematics of the youngest stars. Currently only nuclear disk Cepheids, where they are concentrated, have been kinematically studied and compared with the gas kinematics (Matsunaga et al. Reference Matsunaga2015).

3 KINEMATICS OF OLD METAL-POOR POPULATION TRACERS

The full bulge seems to be mainly old (Kuijken & Rich Reference Kuijken and Rich2002; Zoccali et al. Reference Zoccali2003; Clarkson et al. Reference Clarkson2008; Brown et al. Reference Brown2010; Valenti et al. Reference Valenti, Zoccali, Renzini, Brown, Gonzalez, Minniti, Debattista and Mayer2013). We therefore only present in this section the most classical tracers of the oldest and the more metal-poor populations.

The globular cluster metallicity distribution has been found to be doubled peaked at mean [Fe/H] ≃ −1.6 and [Fe/H] ≃ −0.5. The inner metal-rich population shows rotation, with kinematic signatures comparable to field stars and may be associated with the bulge (e.g. Côté Reference Côté1999; Dinescu et al. Reference Dinescu, Girard, van Altena and López2003; Rossi et al. Reference Rossi, Ortolani, Barbuy, Bica and Bonfanti2015) while the metal-poor clusters have kinematics more consistent with a halo component.

The bulge RR Lyrae population is centred around a metallicity of [Fe/H] = −1 dex (Walker & Terndrup Reference Walker and Terndrup1991; Pietrukowicz et al. Reference Pietrukowicz2012) and has a much more spheroidal, centrally concentrated distribution then the bulge red clump stars, but seems to follow the boxy-peanut shape in the inner regions (Pietrukowicz et al. Reference Pietrukowicz2012; Dékány et al. Reference Dékány, Minniti, Catelan, Zoccali, Saito, Hempel and Gonzalez2013). Kinematic studies of those RR Lyrae stars are not yet available apart from those of Baade's Window showing a velocity dispersion of 133 ± 25 km s−1 (Gratton Reference Gratton1987). Similarly, Type II Cepheids are centrally concentrated (Soszyński et al. Reference Soszyński2011) and the distribution of old short-period Miras appears spheroidal in the outer bulge, opposite to the young long-period ones (Catchpole et al. Reference Catchpole, Whitelock, Feast, Hughes, Irwin and Alard2016) but no kinematic studies of those are available yet.

Field K giant studies of Minniti (Reference Minniti1996) and Ness et al. (Reference Ness2013b) found that the most metal-poor stars, with [Fe/H] < −1.0, presents no significant or small rotation (respectively) and a velocity dispersion around 120km s−1 independent of Galactocentric distance. Such metal-poor stars have been very recently found also in the galactic inner regions (Schultheis et al. Reference Schultheis2015; Do et al. Reference Do, Kerzendorf, Winsor, Støstad, Morris, Lu and Ghez2015). We will discuss further the metal-poor tail of the field stars in Section 6.

4 GLOBAL KINEMATICS OF FIELD STARS

Some other kinematic studies of specific bulge stars such as Mira variables (Menzies Reference Menzies, Jarvis and Terndrup1990), carbon stars (Tyson & Rich Reference Tyson and Rich1991), or planetary nebulae (Durand, Acker, & Zijlstra Reference Durand, Acker and Zijlstra1998) found rotation and a decrease of velocity dispersion with increasing distance from the galactic plane, but the underlying age and metallicity of those stars are difficult to assess. The population of bulge Planetary Nebulae include young stars (Buell Reference Buell2013) and seem to poorly represent the metal-poor population (Gesicki et al. Reference Gesicki, Zijlstra, Hajduk and Szyszka2014). Their kinematics have been studied by Beaulieu et al. (Reference Beaulieu, Freeman, Kalnajs, Saha and Zhao2000) to derive the galactic bar properties. However, Uttenthaler et al. (Reference Uttenthaler, Schultheis, Nataf, Robin, Lebzelter and Chen2012) note that their radial velocities at high galactic latitude (b = −10°) behaves like the metal-poor population.

M and K-giant bulge stars are now the targets of large-scale kinematic surveys. The first one is the Bulge Radial Velocity Assay survey (BRAVA) (Rich et al. Reference Rich, Reitzel, Howard and Zhao2007; Howard et al. Reference Howard2009; Kunder et al. Reference Kunder2012), providing radial velocities of 9 500 2MASS M giants at |l| < 10° and b = − 4, − 6, − 8°. The Abundances and Radial velocity Galactic Origins Survey (ARGOS; Freeman et al. Reference Freeman2013; Ness et al. Reference Ness2013a, Reference Ness2013b) measured radial velocities, [Fe/H] and [α/Fe] ratios for ~ 28 000 stars, targeting 2MASS K-giants and observing mainly at |l| < 20° and b = − 5, − 7.5, − 10°. The Giraffe Inner Bulge Survey (GIBS) (Zoccali et al. Reference Zoccali2014) is a survey of ~ 6 500 VISTA VVV red clump giants within |l| ⩽ 8° and |b| ⩽ 8°; radial velocities have been published (Zoccali et al. Reference Zoccali2014) as well as [Fe/H] and [α/Fe] ratios for the high-resolution fields at b = −4° (Gonzalez et al. Reference Gonzalez2015) and it will soon be completed by metallicities and in the near future by VVV proper motions. Preliminary results have also been published on larger-scale spectroscopic surveys that include the bulge in their field selection: the APOGEE survey (Majewski et al. Reference Majewski2015; targeting 2MASS M-giants, Nidever et al. Reference Nidever2012) and the Gaia-ESO survey (GES, Gilmore et al. Reference Gilmore2012; targeting VISTA K-giants, Rojas-Arriagada et al. Reference Rojas-Arriagada2014).

The BRAVA data showed that the bulge stars follow a cylindrical rotation, e.g. their mean rotation speed is roughly independent of the height above the disc. Using different target selections, the ARGOS and GIBS surveys results are consistent with the BRAVA ones. Their radial velocity distribution is very well reproduced by a N-body model of a pure-disc Galaxy (Shen et al. Reference Shen, Rich, Kormendy, Howard, De Propris and Kunder2010).

Stellar proper motion studies have also been made in small fields either on red giant branch (RGB) stars (Spaenhauer, Jones, & Whitford Reference Spaenhauer, Jones and Whitford1992; Vieira et al. Reference Vieira2007; Vásquez et al. Reference Vásquez2013) or on main-sequence stars using HST (Kuijken & Rich Reference Kuijken and Rich2002; Kozłowski et al. Reference Kozłowski, Woźniak, Mao, Smith, Sumi, Vestrand and Wyrzykowski2006; Clarkson et al. Reference Clarkson2008; Soto et al. Reference Soto, Zeballos, Kuijken, Rich, Kunder and Astraatmadja2014), as well as on a large survey area through the OGLE proper motions (Sumi et al. Reference Sumi2004; Rattenbury et al. Reference Rattenbury, Mao, Debattista, Sumi, Gerhard and de Lorenzi2007; Poleski et al. Reference Poleski2013). Those studies shows a velocity anisotropy consistent with bar models (e.g., Zhao Reference Zhao1996; Qin et al. Reference Qin, Shen, Li, Mao, Smith, Rich, Kunder and Liu2015).

5 THE STREAMING MOTION

A difference of the velocities as a function of distance is expected in a bar potential. Figure 2 illustrates the expected streaming motion due to the x1 family orbits in the plane. As the stars form, the bar streams in the same sense as the Galactic rotation, and because the bar is in the first quadrant, the stars on the near side of the bar are expected to go towards us, while stars on the far side should move away from us. Note that the actual velocity shifts between these two streams constrains the bar-orientation angle (Mao & Paczyński Reference Mao and Paczyński2002).

In the absence of direct distance information, streaming motions have been studied through velocity variation as a function of magnitude (e.g., Rangwala et al. Reference Rangwala, Williams and Stanek2009), specifically targeting the bright and the faint red clump peaks corresponding to the X-shape when they are separately detected (e.g. Vásquez et al. Reference Vásquez2013) or using statistical distances (Babusiaux et al. Reference Babusiaux2014). At low latitude (|b| ⩽ 6°) a difference in radial velocity (V R) and/or proper-motion as a function of distance has been seen by those techniques (Rangwala et al. Reference Rangwala, Williams and Stanek2009; Babusiaux et al. Reference Babusiaux2010; Ness et al. Reference Ness2012; Vásquez et al. Reference Vásquez2013; Poleski et al. Reference Poleski2013; Babusiaux et al. Reference Babusiaux2014; Rojas-Arriagada et al. Reference Rojas-Arriagada2014). However, at higher latitude, no strong difference in the kinematics for the two red clumps have been found (De Propris et al. Reference De Propris2011; Uttenthaler et al. Reference Uttenthaler, Schultheis, Nataf, Robin, Lebzelter and Chen2012; Ness et al. Reference Ness2012; Rojas-Arriagada et al. Reference Rojas-Arriagada2014). This difference between low and high latitude is predicted by bar models (Ness et al. Reference Ness2012). The location of those studies of the streaming motion are overlaid on the overall map of mean radial velocity obtained from the GIBS survey in Figure 3. The fields studied with chemistry information are highlighted by grey box. Note that Rangwala et al. (Reference Rangwala, Williams and Stanek2009), observing at b ~ 3.5° saw V R variations with magnitude at |l| = ±5° but not in Baade's Window (b = 1°); Babusiaux et al. (Reference Babusiaux2010) and Rojas-Arriagada et al. (Reference Rojas-Arriagada2014) also did not find difference in V R in BW for the full sample but a difference started to be significant when removing the metal-poor component of the sample. No streaming motion is detected at (l, b) = (0°, 1°); the kinematics there may be dominated by the nuclear bulge (Babusiaux et al. Reference Babusiaux2014).

Figure 3. Detection of streaming motion. Background: Mean radial velocity surface in the longitude–latitude plane as derived from the GIBS Survey (Zoccali et al. Reference Zoccali2014). Filled symbols: streaming motion detected. Open symbols: streaming motion un-detected. Grey box: fields where metallicity information was used. Compilation from Rangwala, Williams, & Stanek (Reference Rangwala, Williams and Stanek2009); Babusiaux et al. (Reference Babusiaux2010); De Propris et al. (Reference De Propris2011); Uttenthaler et al. (Reference Uttenthaler, Schultheis, Nataf, Robin, Lebzelter and Chen2012); Ness et al. (Reference Ness2012); Vásquez et al. (Reference Vásquez2013); Poleski et al. (Reference Poleski2013); Babusiaux et al. (Reference Babusiaux2014); Rojas-Arriagada et al. (Reference Rojas-Arriagada2014).

The high-velocity peaks detected by Nidever et al. (Reference Nidever2012) at V R ~ 200 km s−1 are likely associated to the streaming motion too. High-velocity components are also seen in Babusiaux et al. (Reference Babusiaux2014) fields at (l, b) = (± 6°, 0°), presenting a mean metallicity of 0.2 dex (e.g., corresponding to population A in Ness et al. Reference Ness2013b, see Section 6). The velocity versus distance trend indicates that the high-velocity components are behind the main bar component at l = +6° and in front of it at l = − 6°, confirming the Nidever et al. (Reference Nidever2012) interpretation of this high-velocity component as being linked to the bar dynamics (see also Aumer & Schönrich Reference Aumer and Schönrich2015 and references therein). Such high-velocity peaks are not seen in the GIBS survey (Zoccali et al. Reference Zoccali2014) although observing also in low-latitude fields (reaching b = −2°). This could be explained by the strong difference in target selection. In particular, the APOGEE survey presents a much larger contamination by foreground disc stars, which counter-intuitively leads to a higher highlight of the high-velocity component: the foreground disc stars have a mean radial velocity peak around zero that do not spread out to V R ~ 200 km s−1, the large velocity tail is therefore picked up as a separate component by a Gaussian decomposition, while the GIBS radial velocity profiles have a large dispersion out to the high-velocity peak, consistent with one single Gaussian with a large dispersion.

When detected, the streaming motion is associated with the metal-rich component. The only exception being Vásquez et al. (Reference Vásquez2013) observing at (l, b) = (0°, − 6°) who found that the velocity difference between the bright and the faint clumps is larger for stars with sub-solar metallicity values. This field can be seen in Figure 3 as being the lowest latitude field where the streaming motion is detected. In this field, the metal-rich component starts to be less prominent and may suffer more from foreground stars contamination. Rojas-Arriagada et al. (Reference Rojas-Arriagada2014) observing the same field confirmed the association of the streaming motion to the metal-rich component. Rojas-Arriagada et al. (Reference Rojas-Arriagada2014) has a broader target selection in colour allowing to probe the metal-poor tail, while the Vásquez et al. (Reference Vásquez2013) MDF is actually dominated by the component called B in Ness et al. (Reference Ness2013b) study with a mean metallicity of − 0.25 that they associate with the thick boxy/peanut-bulge.

In fact, for high-latitude studies, the double clump is itself biased towards metal-rich stars as the double clump is not seen when selecting only metal-poor stars ([Fe/H] < −0.5) (Ness et al. Reference Ness2012; Uttenthaler et al. Reference Uttenthaler, Schultheis, Nataf, Robin, Lebzelter and Chen2012; Rojas-Arriagada et al. Reference Rojas-Arriagada2014). This could be due to a real structure difference between metal-rich and metal-poor stars and/or stellar evolution bias on the red clump morphology (Nataf, Cassisi, & Athanassoula Reference Nataf, Cassisi and Athanassoula2014).

6 KINEMATICS AS A FUNCTION OF METALLICITY FOR BULGE GIANTS

Early observations of bulge giants (Rich Reference Rich1990; Sharples, Walker, & Cropper Reference Sharples, Walker and Cropper1990; Spaenhauer et al. Reference Spaenhauer, Jones and Whitford1992; Minniti Reference Minniti1996) already found that the most metal-rich stars have a smaller velocity dispersion, all observing at |b| ⩾ 4°. More metal-rich stars have also a larger apparent anisotropy σ l b , a smaller σ b , and σ r > σ b when compared to metal-poor stars in Baade's Window (Soto, Rich, & Kuijken Reference Soto, Rich and Kuijken2007; Babusiaux et al. Reference Babusiaux2010). Vieira et al. (Reference Vieira2007) observing at (l = 0°, b = −8°) found that blue horizontal branch stars (tracing an old metal-poor population) showed a higher dispersion in both l and b but the same anisotropy σ l b as the main RGB sample.

Along the bulge minor axis, it has been shown that the metal-poor population presents the same velocity dispersion, while the metal-rich population goes from bar-like high-velocity dispersion to disc-like low velocity dispersion while moving away from the galactic plane. A compilation is presented in Figure 4 from several different surveys with different target selection and analysis, pointing towards a quite robust result. Baade's Window seems to be at the transition where the metal-rich stars start to have a higher velocity dispersion than the metal-poor ones closer to the plane. A small difference in target selection bias could therefore lead to the inverted trend in the results of Rich (Reference Rich1990) and Babusiaux et al. (Reference Babusiaux2010) and the flat velocity dispersion profile of Soto et al. (Reference Soto, Rich and Kuijken2007), all observing in Baade's Window. The increase of velocity dispersion closer to the galactic plane along the minor axis is predicted by bar dynamical models and confirmed observationally by the GIBS survey (Zoccali et al. Reference Zoccali2014). At high latitude, the metal-poor population is the dominant one which explains the high-velocity dispersion of AGB stars and planetary nebulae noted in Uttenthaler et al. (Reference Uttenthaler, Schultheis, Nataf, Robin, Lebzelter and Chen2012) in the field at b = −10°.

Figure 4. Radial velocity dispersion as a function of latitude along the bulge minor axis (|l| ⩽ 1°) for metal-rich stars (0 < [Fe/H] < 0.5, blue open symbols) and metal-poor stars ( − 1 < [Fe/H] < −0.5, red-filled symbols) as derived from: circle symbols: the ARGOS survey by Ness et al. (Reference Ness2013b); squares: Babusiaux et al. (Reference Babusiaux2010, Reference Babusiaux2014), as already compiled in the latter; triangles: the GES iDR1 (Rojas-Arriagada et al. Reference Rojas-Arriagada2014, removing the Hill et al. (Reference Hill2011) targets used in the figures of this paper); cross: Johnson et al. (Reference Johnson, Rich, Fulbright, Valenti and McWilliam2011); star: Uttenthaler et al. (Reference Uttenthaler, Schultheis, Nataf, Robin, Lebzelter and Chen2012).

Note that the inner bulge M-giant sample of Rich, Origlia, & Valenti (Reference Rich, Origlia and Valenti2012) and the AGB sample of Uttenthaler et al. (Reference Uttenthaler, Blommaert, Wood, Lebzelter, Aringer, Schultheis and Ryde2015) could not be added to Figure 4 as the metal-rich and the metal-poor tails of the bulge metallicity distribution function are not present in their data. It has been suggested that very high mass-loss rates at high metallicities could remove those stars from the canonical paths of stellar evolution (e.g., Cohen et al. Reference Cohen, Huang, Udalski, Gould and Johnson2008), hence they do not reach the coolest and most advanced phases (see discussion in Uttenthaler et al. Reference Uttenthaler, Blommaert, Wood, Lebzelter, Aringer, Schultheis and Ryde2015). A more detailed simulation of the biases between those different target selections would be important to understand the differences between different studies.

The strong decrease in velocity dispersion with increasing metallicity at high latitude is not only seen along the minor axis (Figure 4) but also in off-axis fields (Ness et al. Reference Ness2013b; Johnson et al. Reference Johnson, Rich, Kobayashi, Kunder, Pilachowski, Koch and de Propris2013).

The metal-rich velocity dispersion change is in agreement with the SiO masers measurements of Izumiura et al. (Reference Izumiura, Deguchi, Hashimoto, Nakada, Onaka, Ono, Ukita and Yamamura1995) indicating a velocity dispersion of 109 km s−1 for 3 < |b| < 5° and 68 km s−1 further away from the plane.

The large-scale ARGOS survey (Ness et al. Reference Ness2013b) dissect the bulge metallicity distribution in three main components: A is the most metal-rich with [Fe/H] ~ +0.15 that they associate with a relatively thin and centrally concentrated part of the boxy/peanut bulge. B with a mean [Fe/H] ~ −0.25 is a thicker boxy/peanut bulge with a relatively constant fraction within |l| < 15°. A seems to be a colder more compact version of B. C with a mean [Fe/H] ~ −0.7 still shows significant rotation but has an overall different behaviour in its kinematics versus A and B with a latitude independent dispersion within |l| < 10°. At [Fe/H] < −1 the rotation is lower than for stars with [Fe/H] > −1 by about 50%.

The vertex deviation, e.g. correlation between the radial and the longitudinal velocities measured by the orientation of the axis of the velocity dispersion ellipsoid in the radial-longitudinal velocity plane, is characteristic of a non-axisymmetric system. Zhao, Spergel, & Rich (Reference Zhao, Spergel and Rich1994), Soto et al. (Reference Soto, Rich and Kuijken2007), and Babusiaux et al. (Reference Babusiaux2010), observing red giant stars in Baade's Window, found evidence of vertex deviation in the most metal-rich stars ([Fe/H] ≳ −0.5). Figure 5 presents an update of the figure of Babusiaux et al. (Reference Babusiaux2010) done by adding the GES iDR1 data (Rojas-Arriagada et al. Reference Rojas-Arriagada2014). The exact vertex deviation angle is dependant on the relative number of stars before or after the distance assumed in the proper motion derivation. The exact location of the break in metallicity is also difficult to quantify as only 30% of star showing a vertex deviation can introduce a significant correlation in the full sample. In the same way, the mean rotation and the velocity dispersion of a sample depends on its contaminants. The top of Figure 5 indicates the location of the main bulge populations found by Ness et al. (Reference Ness2013a). Both studies may not be exactly on the same metallicity scale but this representation can help the interpretation in term of population (see next section) as those population mix in given metallicity ranges. For example, global rotation and vertex deviation in the metallicity range − 1 < [Fe/H] < −0.5, range typically associated with population C, should be higher than the real one of population C due to population B contamination. Detailed comparisons with models should take this into account together with sample selection bias.

Figure 5. Top: ARGOS MDF decomposition at b = −5° (From Ness et al. (Reference Ness2013a)). Bottom: Vertex deviation in Baade's Window (l = 1°, b = −4°) as a function of metallicity by bins of 0.4 dex, data compilation from Babusiaux et al. (Reference Babusiaux2010) and GES iDR1 (Rojas-Arriagada et al. Reference Rojas-Arriagada2014): 542 stars from three different target selections (Zoccali et al. Reference Zoccali, Hill, Lecureur, Barbuy, Renzini, Minniti, Gómez and Ortolani2008; Hill et al. Reference Hill2011; Rojas-Arriagada et al. Reference Rojas-Arriagada2014) with OGLE-II proper motions (Sumi et al. Reference Sumi2004).

7 INTERPRETATIONS IN TERMS OF POPULATIONS

The different kinematics as a function of metallicity indicates a composite nature of the bulge. The metal-rich population of the bulge follows bar-driven kinematics. The metal-poor population has a distinct kinematic behaviour, presenting a smaller rotation, a roughly constant velocity dispersion and no vertex deviation. Other constraints on the shape, abundances and ages of those populations are also available, which are necessary for the interpretation of those differences in terms of galactic populations (see the other reviews in this special issue for more details).

The metal-rich population is more concentrated closer to the galactic plane and clearly follows the X-shaped boxy bulge. The presence of a second, thinner bar complexify the structure of the metal-rich population although this long bar could simply correspond to the leading ends of the bar in interaction with the adjacent spiral arm heads (Martinez-Valpuesta & Gerhard Reference Martinez-Valpuesta and Gerhard2011; Romero-Gómez et al. Reference Romero-Gómez, Athanassoula, Antoja and Figueras2011). The metal-poor population is centrally concentrated, extends further from the plane and does not follow (as tightly as least) the X-shape structure (see references in Section 3 for the oldest tracers and Section 5 for the discussion on the un-detected double peak in the metal-poor giant branch). The changing ratio of these populations with latitude would lead to an apparent vertical metallicity gradient (Zoccali et al. Reference Zoccali, Hill, Lecureur, Barbuy, Renzini, Minniti, Gómez and Ortolani2008; Ness et al. Reference Ness2013a). However, an initial radial metallicity gradient could also lead to an observed vertical gradient through secular evolution alone (Martinez-Valpuesta & Gerhard Reference Martinez-Valpuesta and Gerhard2013). The metallicity gradient is visible at |b| > 4° but flattens in the inner regions (Ramírez et al. Reference Ramírez, Stephens, Frogel and DePoy2000; Rich, Origlia, & Valenti Reference Rich, Origlia and Valenti2007). The metal-poor component has a significant contribution at all latitudes including in the inner regions where it seems mixed with the metal-rich one (Babusiaux et al. Reference Babusiaux2014).

The metal-poor population shows high [α/Fe] ratios while the metal-rich population shows a low [α/Fe] roughly similar to the thin disc (e.g., Hill et al. Reference Hill2011). This could be explained with a metal-rich population formed on a longer time-scale and with lower star-formation efficiency, consistent with the secular formation scenario, while the metal-poor population formed on a very short time-scale by means of an intense burst of star formation of high efficiency (e.g. Grieco et al. Reference Grieco, Matteucci, Pipino and Cescutti2012). Chemical similarities between the metal-poor part of the bulge and the thick disc have been highlighted (Meléndez et al. Reference Meléndez2008; Alves-Brito et al. Reference Alves-Brito, Meléndez, Asplund, Ramírez and Yong2010; Bensby et al. Reference Bensby2013; Gonzalez et al. Reference Gonzalez2015).

From microlensed bulge dwarfs, a difference in the age distribution is also seen: the metal-rich stars show a wide distribution in ages while the metal-poor stars are all old (Bensby et al. Reference Bensby2013). Although the bulge is mainly old, an extended star-formation history is required to explain the more massive AGB stars in the bulge (van Loon et al. Reference van Loon2003; Groenewegen & Blommaert Reference Groenewegen and Blommaert2005; Uttenthaler et al. Reference Uttenthaler, Hron, Lebzelter, Busso, Schultheis and Käufl2007). Cole & Weinberg (Reference Cole and Weinberg2002) indicate an upper age of 6 Gyr for the bar from its infrared carbon star population but those may instead be mass-losing O-rich stars (see e.g. the discussion in Catchpole et al. Reference Catchpole, Whitelock, Feast, Hughes, Irwin and Alard2016). While the young stars of the bulge can be easily associated with a bar-driven secular evolution of the disc, the situation of the old stars is not that clear. A mix of old and young stars is indeed expected in a secular evolution scenario, with the youngest stars being closer to the plane (e.g., Ness et al. Reference Ness, Debattista, Bensby, Feltzing, Roškar, Cole, Johnson and Freeman2014).

Several models study the hypothesis of a double composition of the bulge in detail (e.g., Samland & Gerhard Reference Samland and Gerhard2003; Nakasato & Nomoto Reference Nakasato and Nomoto2003; Athanassoula Reference Athanassoula2005; Rahimi et al. Reference Rahimi, Kawata, Brook and Gibson2010; Bekki & Tsujimoto Reference Bekki and Tsujimoto2011; Grieco et al. Reference Grieco, Matteucci, Pipino and Cescutti2012; Robin et al. Reference Robin, Marshall, Schultheis and Reylé2012; Perez et al. Reference Perez, Valenzuela, Tissera and Michel-Dansac2013), where the metal-rich population is associated with the bar and the metal-poor population is either the thick disc or a primordial structure formed either by hierarchical formation, dissipational collapse, or clumpy primordial formation. In particular the formation time, strength and longevity of the bar have been shown to be dependant on the properties of the galaxy at high redshift (e.g., Kraljic, Bournaud, & Martig Reference Kraljic, Bournaud and Martig2012; Athanassoula, Machado, & Rodionov Reference Athanassoula, Machado and Rodionov2013).

Shen et al. (Reference Shen, Rich, Kormendy, Howard, De Propris and Kunder2010) reproduced the BRAVA radial velocity distribution with a N-body model of a pure-disc Galaxy, concluding that any classical bulge contribution cannot be larger than ~ 8% of the disc mass. Comparing their model with the ARGOS survey, Di Matteo et al. (Reference Di Matteo2014) also exclude a massive classical bulge and give some insight on the kinematic and proportion difference between populations A and B, indicating that population A may have formed on average closer to the Galaxy centre than the component B.

Other dynamical models have shown that the formation of a bar could spin-up to a faster rotation a small classical bulge already present before the bar formation (Saha, Martinez-Valpuesta, & Gerhard Reference Saha, Martinez-Valpuesta and Gerhard2012). It would be very difficult a posteriori to detect its presence via kinematics alone and indeed chemistry/kinematics correlations could highlight this component. The hint for the elongation of the inner RR Lyrae stars and the rotation of the inner metal-rich globular clusters could be consistent with this angular momentum transfer between the bar and an initial classical bulge during their co-evolution.

The model of Fux (Reference Fux1999) reproduces all the main trends of the bulge shape and kinematics, including the gas one, but opposite to the model of Shen et al. (Reference Shen, Rich, Kormendy, Howard, De Propris and Kunder2010) it has a massive spheroid component (0.5 times the mass of the disc). The proportion of spheroid versus disc stars is roughly consistent with the observations in Baade's Window (Babusiaux et al. Reference Babusiaux2010). The mean rotation of the spheroid is lower than the disc one by about 50%, similar to what is observed for the metal-poor stars in Ness et al. (Reference Ness2013b). There was not as much radial velocity measurements available at the time to constrain this model and it over-predicts the velocity dispersion by ~ 14% while the most massive classical bulge of Shen et al. (Reference Shen, Rich, Kormendy, Howard, De Propris and Kunder2010) (0.3 times the mass of the disc) over-predicts the velocity dispersion by already 23%. The number of parameters for such models are large and it is quite logical that a model that does fit the data without a classical bulge does not anymore when a massive classical bulge is added.

There exist a large debate currently on whether the metal-poor component seen in the bulge is a classical bulge or the thick disc. The density profile of the spheroid component of Fux (Reference Fux1999) has been chosen in order to represent both the nuclear bulge and the stellar halo (looking in particular at RR Lyrae and globular cluster density profiles). Indeed the outer bulge has often been associated with the halo (see e.g., the discussions in Ibata & Gilmore Reference Ibata and Gilmore1995). Actually this spheroid component fits very well also the thick disc profile, as illustrated in Figure 6 which can be compared to the famous figure of Gilmore & Reid (Reference Gilmore and Reid1983). In a solar neighbourhood Toomre diagram, the spheroid particles lie within the thick disc and halo area. The discussions in Gilmore & Reid (Reference Gilmore and Reid1983) present clearly this ambiguity between an exponential decrease perpendicular to the Galactic plane and the power law decrease from the Galactic Centre in a moderately oblate spheroid and already discuss a possible relation between the thick disk and the bulge. The dichotomy between classical bulge and thick disc interpretation for the metal-poor component is not obvious. The importance of the actual density profile used for the inner regions is also illustrated in the study of Robin et al. (Reference Robin, Reylé, Fliri, Czekaj, Robert and Martins2014) who found that a shorter scale length for the thick disc allows to nicely fill the place taken by the classical bulge population in their previous model (Robin et al. Reference Robin, Marshall, Schultheis and Reylé2012).

Figure 6. Density profile of the particles of the Fux (Reference Fux1999) model (disc + spheroid) in the solar cylinder. The fitted lines corresponds to exponential profiles with scale heights of 350 pc (dashed) and 1 250 pc (dotted).

Comparisons of our bulge to external galaxies also provides interesting insight, although one must take into account the very different observational biases between our detail star-by-star analysis and the global view of external galaxies. A classical bulge embedded within a peanut dominated profile is even more difficult to study in detail. Still the coexistence of classical and secularly evolved bulge has been observed in external galaxies (Prugniel, Maubon, & Simien Reference Prugniel, Maubon and Simien2001; Peletier et al. Reference Peletier2007; Erwin Reference Erwin, Bureau, Athanassoula and Barbuy2008). Considering that the bulge is mainly old, observing high-redshift galaxies, e.g. before bar formation, is also very informative. See, e.g., Kormendy (Reference Kormendy2016) for a recent review.

8 CONCLUSIONS

The overall bulge follows the shape and kinematic signature of a secular bar, as predicted by dynamical models. Within this overall bulge, sub-divisions have been observed. In particular, adding metallicity information to the kinematics allows to highlight a metal-poor population presenting a kinematically distinct signature, being more centrally concentrated and extending further from the Galactic plane. This old population, consistent with a short time-scale formation through its α-elements enrichment, should most likely have been present before the bar formation and with already an extended density profile and hot kinematics in order not to be as strongly influenced by the bar formation as the disc. However, the exact density profile of this component and its links with the other Milky Way stellar populations are still largely unknown.

Bulge density, sub-population proportions and kinematics change with sky direction and target distance. A single population can also present internal gradients (see, e.g., Grieco et al. Reference Grieco, Matteucci, Pipino and Cescutti2012 discussing a metallicity gradient within a classical gravitational gas collapse component, and Martinez-Valpuesta & Gerhard Reference Martinez-Valpuesta and Gerhard2013 discussing a metallicity gradient in a secular bulge). Target selection bias (including biases induced by the extinction) complicates the detailed comparison with models. On the other side, the number of parameters at play within the models is very large.

To understand the formation scenario of the bulge and its link with the populations observed locally, large homogeneous surveys providing both kinematics and chemistry are needed, covering not only the bulge but also the inner disc and the transition area with the thick disc and the inner halo. Gaia will soon provide excellent photometry and proper motions along the full bulge giant branch as well as distances for the brightest stars. Combined with other complementary photometric surveys (VISTA, LSST) and the new large spectroscopic surveys under-way (APOGEE, Gaia-ESO survey, HERMES) or planned (MOONS, 4MOST), the bulge formation history should be soon much tightly constrained.

References

REFERENCES

Alves-Brito, A., Meléndez, J., Asplund, M., Ramírez, I., & Yong, D. 2010, A&A, 513, A35 10.1051/0004-6361/200913444 2010A%26A...513A..35A Google Scholar
Athanassoula, E. 1992, MNRAS, 259, 328 1992MNRAS.259..328A CrossRefGoogle Scholar
Athanassoula, E. 2005, MNRAS, 358, 1477 10.1111/j.1365-2966.2005.08872.x 2005MNRAS.358.1477A CrossRefGoogle Scholar
Athanassoula, E., Machado, R. E. G., & Rodionov, S. A. 2013, MNRAS, 429, 1949 10.1093/mnras/sts452 2013MNRAS.429.1949A CrossRefGoogle Scholar
Aumer, M., & Schönrich, R. 2015, MNRAS, 454, 3166 Google Scholar
Babusiaux, C., et al. 2010, A&A, 519, A77 10.1051/0004-6361/201014353 2010A&A...519A..77B Google Scholar
Babusiaux, C., et al. 2014, A&A, 563, A15 10.1051/0004-6361/201323044 2014A&A...563A..15B Google Scholar
Beaulieu, S. F., Freeman, K. C., Kalnajs, A. J., Saha, P., & Zhao, H. 2000, AJ, 120, 855 10.1086/301504 2000AJ....120..855B CrossRefGoogle Scholar
Bekki, K., & Tsujimoto, T. 2011, MNRAS, 416, L60 10.1111/j.1745-3933.2011.01097.x 2011MNRAS.416L..60B Google Scholar
Bensby, T., et al. 2013, A&A, 549, A147 10.1051/0004-6361/201220678 2013A&A...549A.147B Google Scholar
Brown, T. M., et al. 2010, ApJ, 725, L19 10.1088/2041-8205/725/1/L19 2010ApJ...725L..19B Google Scholar
Buell, J. F. 2013, MNRAS, 428, 2577 10.1093/mnras/sts211 2013MNRAS.428.2577B CrossRefGoogle Scholar
Catchpole, R. M., Whitelock, P. A., Feast, M. W., Hughes, S. M. G., Irwin, M., & Alard, C. 2016, MNRAS, 455, 2216 10.1093/mnras/stv2372 2016MNRAS.455.2216C Google Scholar
Clarkson, W., et al. 2008, ApJ, 684, 1110 10.1086/590378 2008ApJ...684.1110C Google Scholar
Cohen, J. G., Huang, W., Udalski, A., Gould, A., & Johnson, J. A. 2008, ApJ, 682, 1029 10.1086/589143 2008ApJ...682.1029C Google Scholar
Cole, A. A., & Weinberg, M. D. 2002, ApJ, 574, L43 Google Scholar
Côté, P. 1999, AJ, 118, 406 10.1086/300930 1999AJ....118..406C CrossRefGoogle Scholar
Dame, T. M., Hartmann, D., & Thaddeus, P. 2001, ApJ, 547, 792 10.1086/318388 2001ApJ...547..792D Google Scholar
Dame, T. M., & Thaddeus, P. 2008, ApJ, 683, L143 CrossRefGoogle Scholar
De Propris, R., et al. 2011, ApJ, 732, L36 10.1088/2041-8205/732/2/L36 2011ApJ...732L..36D CrossRefGoogle Scholar
de Vaucouleurs, G. 1964, in IAU Symp., Vol. 20, The Galaxy and the Magellanic Clouds, ed. Kerr, F. J. (Canberra: Australian Academy of Science), 195 Google Scholar
Debattista, V. P., Gerhard, O., & Sevenster, M. N. 2002, MNRAS, 334, 355 10.1046/j.1365-8711.2002.05500.x 2002MNRAS.334..355D CrossRefGoogle Scholar
Deguchi, S., et al. 2004, PASJ, 56, 765 10.1093/pasj/56.5.765 2004PASJ...56..765D Google Scholar
Dékány, I., Minniti, D., Catelan, M., Zoccali, M., Saito, R. K., Hempel, M., & Gonzalez, O. A. 2013, ApJ, 776, L19 10.1088/2041-8205/776/2/L19 2013ApJ...776L..19D CrossRefGoogle Scholar
Di Matteo, P., et al. 2014, A&A, 567, A122 10.1051/0004-6361/201322958 2014A&A...567A.122D Google Scholar
Dinescu, D. I., Girard, T. M., van Altena, W. F., & López, C. E., 2003, AJ, 125, 1373 10.1086/367801 2003AJ....125.1373D Google Scholar
Do, T., Kerzendorf, W., Winsor, N., Støstad, M., Morris, M. R., Lu, J. R., & Ghez, A. M. 2015, ApJ, 809, 143 10.1088/0004-637X/809/2/143 2015ApJ...809..143D CrossRefGoogle Scholar
Dobbs, C. L., & Burkert, A. 2012, MNRAS, 421, 2940 10.1111/j.1365-2966.2012.20515.x 2012MNRAS.421.2940D CrossRefGoogle Scholar
Durand, S., Acker, A., & Zijlstra, A. 1998, A&AS, 132, 13 10.1051/aas:1998356 1998A&AS..132...13D Google Scholar
Erwin, P. 2008, in IAU Symp., Vol. 245, Formation and Evolution of Galaxy Bulges, ed. Bureau, M., Athanassoula, E. & Barbuy, B. (Cambridge: Cambridge University Press), 113 Google Scholar
Freeman, K., et al. 2013, MNRAS, 428, 3660 CrossRefGoogle Scholar
Fux, R. 1999, A&A, 345, 787 1999A&A...345..787F Google Scholar
Gesicki, K., Zijlstra, A. A., Hajduk, M., & Szyszka, C. 2014, A&A, 566, A48 10.1051/0004-6361/201118391 2014A&A...566A..48G Google Scholar
Gilmore, G., & Reid, N. 1983, MNRAS, 202, 1025 1983MNRAS.202.1025G Google Scholar
Gilmore, G., et al. 2012, Msngr, 147, 25 2012Msngr.147...25G Google Scholar
Gonzalez, O. A., et al. 2015, A&A, 584, A46 Google Scholar
Gratton, R. G. 1987, MNRAS, 224, 175 1987MNRAS.224..175G CrossRefGoogle Scholar
Grieco, V., Matteucci, F., Pipino, A., & Cescutti, G. 2012, A&A, 548, A60 10.1051/0004-6361/201219761 2012A&A...548A..60G Google Scholar
Groenewegen, M. A. T., & Blommaert, J. A. D. L. 2005, A&A, 443, 143 10.1051/0004-6361:20053131 2005A&A...443..143G Google Scholar
Habing, H. J., Sevenster, M. N., Messineo, M., van de Ven, G., & Kuijken, K. 2006, A&A, 458, 151 10.1051/0004-6361:20054480 2006A&A...458..151H Google Scholar
Hill, V., et al. 2011, A&A, 534, A80 10.1051/0004-6361/200913757 2011A&A...534A..80H Google Scholar
Howard, C. D., et al. 2009, ApJ, 702, L153 10.1088/0004-637X/702/2/L153 2009ApJ...702L.153H CrossRefGoogle Scholar
Ibata, R. A., & Gilmore, G. F. 1995, MNRAS, 275, 605 1995MNRAS.275..605I Google Scholar
Izumiura, H., Deguchi, S., Hashimoto, O., Nakada, Y., Onaka, T., Ono, T., Ukita, N., & Yamamura, I. 1995, ApJ, 453, 837 10.1086/176445 1995ApJ...453..837I Google Scholar
Johnson, C. I., Rich, R. M., Fulbright, J. P., Valenti, E., & McWilliam, A. 2011, ApJ, 732, 108 10.1088/0004-637X/732/2/108 2011ApJ...732..108J Google Scholar
Johnson, C. I., Rich, R. M., Kobayashi, C., Kunder, A., Pilachowski, C. A., Koch, A., & de Propris, R. 2013, ApJ, 765, 157 10.1088/0004-637X/765/2/157 2013ApJ...765..157J Google Scholar
Kormendy, J. 2016, Galactic Bulges, Astrophysics and Space Science Library, 418, 431 Google Scholar
Kozłowski, S., Woźniak, P. R., Mao, S., Smith, M. C., Sumi, T., Vestrand, W. T., & Wyrzykowski, Ł. 2006, MNRAS, 370, 435 10.1111/j.1365-2966.2006.10487.x 2006MNRAS.370..435K Google Scholar
Kraljic, K., Bournaud, F., & Martig, M. 2012, ApJ, 757, 60 10.1088/0004-637X/757/1/60 2012ApJ...757...60K Google Scholar
Kuijken, K., & Rich, R. M. 2002, AJ, 2002AJ....124.2054K&db_key=AST124 2054Google Scholar
Kunder, A., et al. 2012, AJ, 143, 57 10.1088/0004-6256/143/3/57 2012AJ....143...57K CrossRefGoogle Scholar
Majewski, S. R., et al. 2015, preprint (arXiv:1509.05420)2015arXiv150905420M Google Scholar
Mao, S., & Paczyński, B. 2002, MNRAS, 337, 895 10.1046/j.1365-8711.2002.05951.x 2002MNRAS.337..895M CrossRefGoogle Scholar
Martinez-Valpuesta, I., & Gerhard, O. 2011, ApJ, 734, L20 10.1088/2041-8205/734/1/L20 2011ApJ...734L..20M CrossRefGoogle Scholar
Martinez-Valpuesta, I., & Gerhard, O. 2013, ApJ, 766, L3 10.1088/2041-8205/766/1/L3 2013ApJ...766L...3M CrossRefGoogle Scholar
Matsunaga, N., et al. 2015, ApJ, 799, 46 10.1088/0004-637X/799/1/46 2015ApJ...799...46M Google Scholar
Meléndez, J., et al. 2008, A&A, 484, L21 10.1051/0004-6361:200809398 2008A&A...484L..21M Google Scholar
Menzies, J. W. 1990, in ESO Conf. Workshop Proc., Vol. 35, European Southern Observatory Conference and Workshop Proceedings, ed. Jarvis, B. J. & Terndrup, D. M., 115Google Scholar
Minniti, D. 1996, ApJ, 459, 579 10.1086/176923 1996ApJ...459..579M Google Scholar
Nakasato, N., & Nomoto, K. 2003, ApJ, 588, 842 10.1086/374211 2003ApJ...588..842N CrossRefGoogle Scholar
Nataf, D. M., Cassisi, S., & Athanassoula, E. 2014, MNRAS, 442, 2075 10.1093/mnras/stu805 2014MNRAS.442.2075N Google Scholar
Ness, M., Debattista, V. P., Bensby, T., Feltzing, S., Roškar, R., Cole, D. R., Johnson, J. A., & Freeman, K. 2014, ApJ, 787, L19 10.1088/2041-8205/787/2/L19 2014ApJ...787L..19N Google Scholar
Ness, M., et al. 2012, ApJ, 756, 22 10.1088/0004-637X/756/1/22 2012ApJ...756...22N CrossRefGoogle Scholar
Ness, M., et al. 2013a, MNRAS, 430, 836 10.1093/mnras/sts629 2013MNRAS.430..836N CrossRefGoogle Scholar
Ness, M., et al. 2013b, MNRAS, 432, 2092 10.1093/mnras/stt533 2013MNRAS.432.2092N Google Scholar
Nidever, D. L., et al. 2012, ApJ, 755, L25 10.1088/2041-8205/755/2/L25 2012ApJ...755L..25N Google Scholar
Peletier, R. F., et al. 2007, MNRAS, 379, 445 10.1111/j.1365-2966.2007.11860.x 2007MNRAS.379..445P CrossRefGoogle Scholar
Perez, J., Valenzuela, O., Tissera, P. B., & Michel-Dansac, L. 2013, MNRAS, 436, 259 10.1093/mnras/stt1563 2013MNRAS.436..259P CrossRefGoogle Scholar
Pietrukowicz, P., et al. 2012, ApJ, 750, 169 10.1088/0004-637X/750/2/169 2012ApJ...750..169P CrossRefGoogle Scholar
Poleski, R., et al. 2013, ApJ, 776, 76 10.1088/0004-637X/776/2/76 2013ApJ...776...76P Google Scholar
Prugniel, P., Maubon, G., & Simien, F. 2001, A&A, 366, 68 10.1051/0004-6361:20000009 2001A&A...366...68P Google Scholar
Qin, Y., Shen, J., Li, Z.-Y., Mao, S., Smith, M. C., Rich, R. M., Kunder, A., & Liu, C. 2015, ApJ, 808, 75 10.1088/0004-637X/808/1/75 2015ApJ...808...75Q CrossRefGoogle Scholar
Rahimi, A., Kawata, D., Brook, C. B., & Gibson, B. K. 2010, MNRAS, 401, 1826 10.1111/j.1365-2966.2009.15752.x 2010MNRAS.401.1826R CrossRefGoogle Scholar
Ramírez, S. V., Stephens, A. W., Frogel, J. A., & DePoy, D. L. 2000, AJ, 120, 833 10.1086/301466 2000AJ....120..833R Google Scholar
Rangwala, N., Williams, T. B., & Stanek, K. Z. 2009, ApJ, 691, 1387 10.1088/0004-637X/691/2/1387 2009ApJ...691.1387R Google Scholar
Rattenbury, N. J., Mao, S., Debattista, V. P., Sumi, T., Gerhard, O., & de Lorenzi, F. 2007, MNRAS, 378, 1165 10.1111/j.1365-2966.2007.11851.x 2007MNRAS.378.1165R Google Scholar
Rich, R. M. 1990, ApJ, 362, 604 10.1086/169299 1990ApJ...362..604R Google Scholar
Rich, R. M., Origlia, L., & Valenti, E. 2007, ApJ, 665, L119 10.1086/521440 Google Scholar
Rich, R. M., Origlia, L., & Valenti, E. 2012, ApJ, 746, 59 10.1088/0004-637X/746/1/59 2012ApJ...746...59R CrossRefGoogle Scholar
Rich, R. M., Reitzel, D. B., Howard, C. D., & Zhao, H. 2007, ApJ, 658, L29 10.1086/513509 2007ApJ...658L..29R Google Scholar
Robin, A. C., Marshall, D. J., Schultheis, M., & Reylé, C. 2012, A&A, 538, A106 10.1051/0004-6361/201116512 2012A&A...538A.106R Google Scholar
Robin, A. C., Reylé, C., Fliri, J., Czekaj, M., Robert, C. P., & Martins, A. M. M. 2014, A&A, 569, A13 10.1051/0004-6361/201423415 2014A&A...569A..13R Google Scholar
Rodriguez-Fernandez, N. J., & Combes, F. 2008, A&A, 489, 115 10.1051/0004-6361:200809644 2008A&A...489..115R Google Scholar
Rojas-Arriagada, A., et al. 2014, A&A, 569, A103 10.1051/0004-6361/201424121 2014A&A...569A.103R Google Scholar
Romero-Gómez, M., Athanassoula, E., Antoja, T., & Figueras, F. 2011, MNRAS, 418, 1176 10.1111/j.1365-2966.2011.19569.x 2011MNRAS.418.1176R Google Scholar
Rossi, L. J., Ortolani, S., Barbuy, B., Bica, E., & Bonfanti, A. 2015, MNRAS, 450, 3270 10.1093/mnras/stv748 2015MNRAS.450.3270R Google Scholar
Saha, K., Martinez-Valpuesta, I., & Gerhard, O. 2012, MNRAS, 421, 333 10.1111/j.1365-2966.2011.20307.x 2012MNRAS.421..333S Google Scholar
Samland, M., & Gerhard, O. E. 2003, A&A, 399, 961 10.1051/0004-6361:20021842 2003A&A...399..961S Google Scholar
Sanna, A., et al. 2014, ApJ, 781, 108 10.1088/0004-637X/781/2/108 2014ApJ...781..108S Google Scholar
Sawada, T., Hasegawa, T., Handa, T., & Cohen, R. J. 2004, MNRAS, 349, 1167 10.1111/j.1365-2966.2004.07603.x 2004MNRAS.349.1167S Google Scholar
Schultheis, M., et al. 2015, A&A, 584, A4 5 Google Scholar
Sevenster, M., Saha, P., Valls-Gabaud, D., & Fux, R. 1999, MNRAS, 307, 584 10.1046/j.1365-8711.1999.02672.x 1999MNRAS.307..584S Google Scholar
Sharples, R., Walker, A., & Cropper, M. 1990, MNRAS, 246, 54 1990MNRAS.246...54S Google Scholar
Shen, J., Rich, R. M., Kormendy, J., Howard, C. D., De Propris, R., & Kunder, A. 2010, ApJ, 720, L72 10.1088/2041-8205/720/1/L72 2010ApJ...720L..72S Google Scholar
Soszyński, I., et al. 2011, AcA, 61, 285 2011AcA....61..285S Google Scholar
Soto, M., Rich, R. M., & Kuijken, K. 2007, ApJ, 665, L31 10.1086/521098 2007ApJ...665L..31S Google Scholar
Soto, M., Zeballos, H., Kuijken, K., Rich, R. M., Kunder, A., & Astraatmadja, T. 2014, A&A, 562, A41 10.1051/0004-6361/201117339 2014A&A...562A..41S Google Scholar
Spaenhauer, A., Jones, B. F., & Whitford, A. E. 1992, AJ, 103, 297 10.1086/116061 1992AJ....103..297S Google Scholar
Sumi, T., et al. 2004, MNRAS, 348, 1439 10.1111/j.1365-2966.2004.07457.x 2004MNRAS.348.1439S Google Scholar
Tyson, N. D., & Rich, R. M. 1991, ApJ, 367, 547 10.1086/169651 1991ApJ...367..547T Google Scholar
Uttenthaler, S., Blommaert, J. A. D. L., Wood, P. R., Lebzelter, T., Aringer, B., Schultheis, M., & Ryde, N. 2015, MNRAS, 451, 1750 10.1093/mnras/stv1052 2015MNRAS.451.1750U Google Scholar
Uttenthaler, S., Hron, J., Lebzelter, T., Busso, M., Schultheis, M., & Käufl, H. U. 2007, A&A, 463, 251 10.1051/0004-6361:20065463 2007A&A...463..251U Google Scholar
Uttenthaler, S., Schultheis, M., Nataf, D. M., Robin, A. C., Lebzelter, T., & Chen, B. 2012, A&A, 546, A57 10.1051/0004-6361/201219055 2012A&A...546A..57U Google Scholar
Valenti, E., Zoccali, M., Renzini, A., Brown, T. M., Gonzalez, O. A., Minniti, D., Debattista, V. P., & Mayer, L. 2013, A&A, 559, A98 10.1051/0004-6361/201321962 2013A&A...559A..98V Google Scholar
van Loon, J. T., et al. 2003, MNRAS, 338, 857 10.1046/j.1365-8711.2003.06134.x 2003MNRAS.338..857V Google Scholar
Vásquez, S., et al. 2013, A&A, 555, A91 10.1051/0004-6361/201220222 2013A&A...555A..91V Google Scholar
Vieira, K., et al. 2007, AJ, 134, 1432 10.1086/520813 2007AJ....134.1432V Google Scholar
Walker, A. R., & Terndrup, D. M. 1991, ApJ, 378, 119 10.1086/170411 1991ApJ...378..119W Google Scholar
Zhao, H., Spergel, D. N., & Rich, R. M. 1994, AJ, 108, 2154 10.1086/117227 1994AJ....108.2154Z Google Scholar
Zhao, H. S. 1996, MNRAS, 283, 149 1996MNRAS.283..149Z Google Scholar
Zoccali, M., Hill, V., Lecureur, A., Barbuy, B., Renzini, A., Minniti, D., Gómez, A., & Ortolani, S. 2008, A&A, 486, 177 10.1051/0004-6361:200809394 2008A&A...486..177Z Google Scholar
Zoccali, M., et al. 2003, A&A, 399, 931 10.1051/0004-6361:20021604 2003A&A...399..931Z Google Scholar
Zoccali, M., et al. 2014, A&A, 562, A66 10.1051/0004-6361/201323120 2014A&A...562A..66Z Google Scholar
Figure 0

Figure 1. Figure adapted from Rodriguez-Fernandez & Combes (2008): Longitude–velocity (lv) diagram of the CO(1–0) emission (Dame, Hartmann, & Thaddeus 2001). The solid lines trace the position of some remarkable features such as the locus of the spiral arms, the 3 kpc near and far arms and the Connecting Arm. The black-dashed lines indicate the contour of the Galactic Molecular Ring. The solid circles and triangles are the terminal velocities measurements. The boxes mark the position of the spiral arms tangent points. The lines concerning the Nuclear Disk or Central Molecular Zone are in blue.

Figure 1

Figure 2. Schematic representation of the main bar-driven motions. The schema is adapted from Athanassoula (1992) showing some periodic orbits of the x1 family which are the backbones of the bar together with the bar outline as a dotted line. The schema has been oriented at a bar angle ϕ of 20°.

Figure 2

Figure 3. Detection of streaming motion. Background: Mean radial velocity surface in the longitude–latitude plane as derived from the GIBS Survey (Zoccali et al. 2014). Filled symbols: streaming motion detected. Open symbols: streaming motion un-detected. Grey box: fields where metallicity information was used. Compilation from Rangwala, Williams, & Stanek (2009); Babusiaux et al. (2010); De Propris et al. (2011); Uttenthaler et al. (2012); Ness et al. (2012); Vásquez et al. (2013); Poleski et al. (2013); Babusiaux et al. (2014); Rojas-Arriagada et al. (2014).

Figure 3

Figure 4. Radial velocity dispersion as a function of latitude along the bulge minor axis (|l| ⩽ 1°) for metal-rich stars (0 < [Fe/H] < 0.5, blue open symbols) and metal-poor stars ( − 1 < [Fe/H] < −0.5, red-filled symbols) as derived from: circle symbols: the ARGOS survey by Ness et al. (2013b); squares: Babusiaux et al. (2010, 2014), as already compiled in the latter; triangles: the GES iDR1 (Rojas-Arriagada et al. 2014, removing the Hill et al. (2011) targets used in the figures of this paper); cross: Johnson et al. (2011); star: Uttenthaler et al. (2012).

Figure 4

Figure 5. Top: ARGOS MDF decomposition at b = −5° (From Ness et al. (2013a)). Bottom: Vertex deviation in Baade's Window (l = 1°, b = −4°) as a function of metallicity by bins of 0.4 dex, data compilation from Babusiaux et al. (2010) and GES iDR1 (Rojas-Arriagada et al. 2014): 542 stars from three different target selections (Zoccali et al. 2008; Hill et al. 2011; Rojas-Arriagada et al. 2014) with OGLE-II proper motions (Sumi et al. 2004).

Figure 5

Figure 6. Density profile of the particles of the Fux (1999) model (disc + spheroid) in the solar cylinder. The fitted lines corresponds to exponential profiles with scale heights of 350 pc (dashed) and 1 250 pc (dotted).