This site uses cookies. By continuing to use this site you agree to our use of cookies. To find out more, see our Privacy and Cookies policy.

Articles

THE BULGE RADIAL VELOCITY ASSAY (BRAVA). II. COMPLETE SAMPLE AND DATA RELEASE

, , , , , , , , , , , , , , , and

Published 2012 February 6 © 2012. The American Astronomical Society. All rights reserved.
, , Citation Andrea Kunder et al 2012 AJ 143 57 DOI 10.1088/0004-6256/143/3/57

1538-3881/143/3/57

ABSTRACT

We present new radial velocity measurements from the Bulge Radial Velocity Assay, a large-scale spectroscopic survey of M-type giants in the Galactic bulge/bar region. The sample of ∼4500 new radial velocities, mostly in the region −10° < l < +10° and b ≈ −6°, more than doubles the existent published data set. Our new data extend our rotation curve and velocity dispersion profile to +20°, which is ∼2.8 kpc from the Galactic center. The new data confirm the cylindrical rotation observed at −6° and −8° and are an excellent fit to the Shen et al. N-body bar model. We measure the strength of the TiOε molecular band as a first step toward a metallicity ranking of the stellar sample, from which we confirm the presence of a vertical abundance gradient. Our survey finds no strong evidence of previously unknown kinematic streams. We also publish our complete catalog of radial velocities, photometry, TiO band strengths, and spectra, which is available at the Infrared Science Archive as well as at UCLA.

Export citation and abstract BibTeX RIS

1. INTRODUCTION

Only for stars in the Milky Way is it currently possible to examine both the three-dimensional kinematics and composition of a central bulge/bar population, offering a unique laboratory for the study of galaxy formation and evolution. Up until now, there have been very few optical spectra and radial velocities of bulge stars, published in a catalog form, with the spectra and measurements made publicly available. Here we present a catalog of the Bulge Radial Velocity Assay (BRAVA) that has a sample of ∼10,000 M giant stars selected from the red giant branch (RGB) of the Two Micron All Sky Survey (2MASS; Skrutskie et al. 2006). This catalog gives the 2MASS magnitudes and positions, our measured radial velocities, and our spectra. This publication presents our complete sample of low-resolution spectra for the BRAVA survey, which covers approximately −10° < l < +10° and −4° < b < −8°. We also present a rich new data set at b = −6° that complements the first results presented in Howard et al. (2008, hereafter Paper I) and the properties of which conform to our other latitudinal studies at −4° and −8°. We expect that the database will ultimately be useful in constraining the dynamical model of the Galactic bulge and in placing limits on the detection of cold streams from fossil infall events. The 2MASS astrometry is of sufficient quality that proper motions for our sample will be measurable in the next few years.

Although evidence for a barred potential has long been known (e.g., Liszt & Burton 1980), the modeling of the 2 μm surface brightness distribution in the bulge as a bar (Blitz & Spergel 1991) established that the stellar distribution of the bulge is best modeled as a bar with the position angle of its major axis as 20°–45°. The self-consistent dynamical model of a rapidly rotating bar (Zhao 1996) was a significant advance and a number of models have followed; however, additional progress requires constraining new models with a much larger kinematic data set. The question of exactly how the bar structure formed—presumably via some kind of secular evolution (Kormendy & Kennicutt 2004) but including rapid star formation, winds, and dissipation—can be better addressed with these new large samples. Additionally, the relationship between the bulge, inner disk, thick disk, and halo may be illuminated further. As the coverage and sample sizes analyzed in the bulge increase, it becomes possible to place meaningful limits on the influence of infalling satellites and other types of merger events. The ultimate goal is to move beyond the characterization of the bar's morphology and orientation to the characterization of the bulge/bar as a stellar system with a unique and complex history.

Early surveys of the bulge (Nassau & Blanco 1958) immediately revealed a distinguishing characteristic, namely, large numbers of M giants compared with the giant population in globular clusters and the halo. The breakthrough in achieving a physical understanding of the M giant population arose from the surveys undertaken by Victor and Betty Blanco using the newly commissioned grating/prism on the 4 m telescope at Cerro Tololo Inter-American Observatory (CTIO; Blanco et al. 1984)—an effort that yielded thousands of photographic low-resolution classification spectra. These studies provided the raw material that fed the first radial velocity study (Mould 1986) and infrared surveys (e.g., Frogel & Whitford 1987). The cool bulge M giants could be easily identified and exploited because of their brightness in the near-IR (where extinction is low) and by their strong molecular (chiefly titanium oxide [TiO]) bands. Sharples et al. (1990) used an early fiber spectrograph on the Anglo-Australian Telescope to obtain ∼300 spectra of bulge M giants in Baade's Window. However, no study specifically exploited the M giants as kinematic probes over the entire bulge, even though they could be easily identified by their extremely red V − I colors.

Following the self-consistent, rapidly rotating bar model of Zhao (1996), two efforts modeled newly available, substantial data sets. Sevenster et al. (1999) employed the OH/IR star population to constrain a bar model while the Beaulieu et al. (2000) study used planetary nebulae (PNe) as kinematic probes of the bulge and fit a range of bar models to the data. Both probes offered an advantage in that they are ubiquitous and easy to identify over the whole of the bulge. In the case of the PNe, the numbers are relatively few (373). Unfortunately, PNe are not specific to a given stellar population so disk contamination is a possibility and the total number in the PNe sample is modest. However, Beaulieu et al. (2000) were able to test both the self-consistent and N-body bar models against the PNe kinematic data. Sevenster et al. (1999) were able to draw significant constraints from the OH/IR star kinematics, finding a bar-shaped bulge at a roughly 45° bar angle. The OH/IR stars are also rare, with numbers similar to those of the PNe.

With the release of the 2MASS database, it became possible to easily select M giants over the entirety of the Galactic bulge. The 2MASS survey offered an essentially unlimited supply of kinematic probes. The Bulge Radial Velocity Assay or BRAVA (see also Rich et al. 2007b and Paper I) was conceived to exploit the high quality, uniform photometry and astrometry for this data set. We select red giants from the K, J − K RGB that are approximately at the distance to the Galactic center, R0 = 8 kpc, and are highly likely to be bulge/bar members. These stars can thus be selected from highly obscured regions of the bulge. The first results of the BRAVA project are given additionally in Rich et al. (2007b), Paper I, Howard et al. (2009), and Shen et al. (2010). The principle result, based on ∼4500 stars, was the confirmation of cylindrical rotation and that the simple bar/boxy bulge model matches the BRAVA kinematics strikingly well with no need for a merger-made classical bulge (Shen et al. 2010). The sample of red giant kinematic probes is now 8585. We also have in progress a new version of the self-consistent model (Y. Wang et al. 2012, in preparation).

As described in Rich et al. (2007b), we used the Hydra spectrograph on the Blanco 4 m telescope, set at a central wavelength of ∼7900 Å.15 Many details of the observation and analysis are given in Paper I and will not be repeated here. After some experimentation, we ultimately determined that even with prominent, partially overlapping molecular band absorption, the near-infrared Ca triplet (CaT) offered the best opportunity to obtain excellent radial velocity cross-correlation.

While originally conceived as a purely kinematic study, the data quality of BRAVA allows us, in principle, to investigate the metallicity distribution of the bulge. Only with the addition of chemical abundance information will we ultimately be able to pin down the formation mechanisms that laid the kinematic traces found in our survey. In particular, the presence of radial or vertical metallicity gradients in the bulge may be indicative formation mechanisms (Meléndez et al. 2008; Zoccali et al. 2008; Babusiaux et al. 2010; Johnson et al. 2011) and warrants a well-calibrated, large-number sample, such as BRAVA. Here we report the coordinates, photometry, TiO molecular band strengths, and radial velocities of individual red giants in the BRAVA fields, as well as the mean velocities and velocity dispersions for each field. The data release also includes all of our actual reduced spectra. It is our intention to include proper motion data in the compilation as well. The present paper describes the final data set of BRAVA and presents the BRAVA data release and Web site, which include all available data and spectra from our observing campaign. We also refine the analysis presented in Shen et al. (2010) and confirm that the Galactic bulge appears to consist of a massive bar undergoing pure cylindrical rotation and yields strong limits on the presence of a classical bulge.

The structure of the paper is as follows. We present the observations and spectroscopy, especially insofar as these were changed from those used in Paper I and Howard et al. (2009) in Section 1. Velocity calibrations and the main results are discussed in Section 2, where we also introduce our public data release. Our molecular line index measurements are then introduced in Section 3. Section 4 shows the new data fit to the Shen et al. (2010) N-body bar model, and we conclude with the data release in Section 5.

2. NEW OBSERVATIONS AND SPECTROSCOPY

The observations presented here were taken in 2008 with the Hydra multifiber bench spectrograph at the Cassegrain focus of the Blanco 4 m telescope at the CTIO.16 Nineteen individual bulge fields were observed in 2008 July and 23 in 2008 August. Additionally, three radial velocity standard stars (HD 177017, HD 218541, and HD 146051), which were already used in Paper I, were acquired during these runs as well as observations of the BRAVA calibration field at (l, b) = (6, −4).

Paper I describes the observational setup and sample selection used to obtain radial velocities of the bulge M giants. Briefly, in 2005, our central wavelength was ∼7600 Å, but every year it was adjusted redward in order to observe the calcium triplet as well as the TiO band at ∼7050. The specific wavelength range for each BRAVA field is listed in our data release. For our 2008 observations, the KPGLD grating was employed, blazed at 8500 Å and with 1 × 2 binning. The central wavelength was ∼7900 Å and the effective dispersion was 0.88 Å pixel−1 with an effective resolving power of R ∼ 4200. The spectral range of the new data set included all three CaT lines, and three exposures at 600 s each were obtained for each field. These fields typically allowed for ∼106 fibers to be placed on M giants and an additional ∼20 fibers to be used for sky subtraction. The signal-to-noise ratio (S/N) at ∼7500 Å ranges from 10 to 80 with median values of ∼35–45. The variations in S/N arise mainly from transparency at the time the data were taken and the field position in the bulge (extinction, crowding).

A complete listing of the observed fields is shown in Table 1 and all of the observed fields from Paper I as well as those presented here are shown in Figure 1.

Figure 1.

Figure 1. All of the observed BRAVA fields overplotted on the COBE 2 μm image (Launhardt et al. 2002). Each field is 40' and is color-coded to designate the year observed. The black circles are fields observed over multiple years.

Standard image High-resolution image

Table 1. BRAVA Rotation and Dispersion Results

Date of Obs R.A. Decl. gal l gal b Target Fibers Reliable VHC VGC errV σ errσ
(UT) (J2000.0) (J2000.0) (deg) (deg) in Config Velocities (km s−1) (km s−1) (km s−1) (km s−1) (km s−1)
2008 Jul 8 17:57:05.75 −40:43:23.4 −9.0 −8.0 108 104 −56.10 −84.26 8.32 84.86 5.88
2008 Jul 8 18:02:09.79 −38:59:18.5 −7.0 −8.0 102 102 −34.14 −54.39 7.49 75.60 5.29
2008 Jul 8 18:14:40.35 −25:42:48.7 6.0 −4.0 107 106 43.38 76.03 8.56 88.12 6.05
2008 Jul 8 18:36:28.77 −24:54:15.4 9.0 −8.0 109 108 11.27 54.85 6.95 72.20 4.91
2008 Jul 9 18:06:51.74 −37:15:44.5 −5.0 −8.0 110 108 −43.43 −55.69 7.76 80.62 5.49
2008 Jul 9 18:11:25.87 −35:30:15.1 −3.0 −8.0 115 114 −36.62 −40.84 7.89 84.27 5.58
2008 Jul 9 18:22:18.76 −31:05:47.0 2.0 −8.0 105 103 −8.65 7.16 7.61 77.21 5.38
2008 Jul 9 18:24:32.95 −30:12:46.9 3.0 −8.0 109 108 −12.17 7.74 8.70 90.39 6.15
2008 Jul 9 18:28:19.59 −28:29:36.9 5.0 −8.0 106 102 35.93 63.48 9.04 91.34 6.39
2008 Jul 10 17:41:55.43 −36:03:35.9 −6.5 −3.1 65 63 −40.86 −58.03 11.46 90.96 8.10
2008 Jul 10 17:50:54.07 −37:02:24.9 −6.5 −5.1 89 79 −33.10 −50.23 9.12 81.09 6.45
2008 Jul 10 18:10:07.40 −25:39:30.9 5.5 −3.1 88 86 26.54 57.80 8.95 83.02 6.33
2008 Jul 10 18:32:36.91 −26:39:15.7 7.0 −8.0 104 102 11.58 47.41 7.55 76.21 5.34
2008 Jul 11 17:59:22.08 −37:39:25.0 −6.0 −6.9 102 97 −45.49 −61.92 8.10 79.79 5.73
2008 Jul 11 18:17:49.98 −26:10:14.0 6.0 −4.8 107 106 13.82 45.92 7.83 80.56 5.53
2008 Jul 11 18:22:15.60 −26:41:40.5 6.0 −6.0 104 102 16.35 48.22 8.32 84.03 5.88
2008 Jul 11 18:26:03.24 −27:07:50.2 6.0 −6.9 99 98 14.94 46.70 8.46 83.78 5.98
2008 Jul 11 18:29:57.01 −23:06:19.2 10.0 −5.9 93 88 20.85 68.56 8.72 81.54 6.17
2008 Jul 12 17:55:51.60 −37:05:52.7 −6.0 −6.0 102 96 −51.06 −66.83 8.70 85.28 6.15
2008 Aug 18 17:45:20.95 −40:34:09.7 −10.0 −6.0 104 103 −53.70 −85.72 7.10 72.09 5.02
2008 Aug 19 17:48:04.97 −39:41:08.2 −9.0 −6.0 105 103a −47.46 −75.29 8.21 82.91 5.81
2008 Aug 19 17:50:44.04 −38:51:51.5 −8.0 −6.0 106 105 −72.36 −96.35 7.27 74.54 5.14
2008 Aug 19 17:53:05.49 −38:00:47.4 −7.0 −6.0 111 103 −42.71 −62.86 9.71 98.50 6.86
2008 Aug 19 18:26:34.99 −24:52:48.8 8.0 −6.0 109 107 28.44 68.56 8.21 84.88 5.80
2008 Aug 20 17:58:08.76 −36:17:31.2 −5.0 −6.0 109 108 −48.01 −60.06 8.43 87.60 5.96
2008 Aug 20 18:28:33.61 −23:59:55.1 9.0 −6.0 111 111 18.41 62.45 7.93 83.55 5.61
2008 Aug 20 18:30:21.68 −23:06:39.7 10.0 −6.0 105 104 12.49 60.42 8.61 87.81 6.09
2008 Aug 21 18:02:53.91 −34:31:17.8 −3.0 −6.0 111 109 −25.85 −29.81 8.33 86.94 5.89
2008 Aug 21 18:07:17.57 −32:47:21.0 −1.0 −6.0 111 110 −11.74 −7.74 9.26 97.15 6.55
2008 Aug 21 18:11:48.68 −31:01:50.7 1.0 −6.0 114 112 −21.54 −9.42 9.16 96.93 6.48
2008 Aug 21 18:16:10.33 −29:19:15.1 3.0 −6.0 115 114 10.17 30.18 8.98 95.91 6.35
2008 Aug 22 18:00:21.58 −35:24:53.8 −4.0 −6.0 114 112 −43.53 −51.61 8.35 88.41 5.91
2008 Aug 22 18:05:10.43 −33:40:05.1 −2.0 −6.0 112 109 −40.98 −40.96 8.55 89.29 6.05
2008 Aug 22 18:20:20.14 −27:33:33.3 5.0 −6.0 111 109 25.20 53.17 8.46 88.38 5.99
2008 Aug 23 18:09:46.09 −31:56:01.1 0.0 −6.0 110 109 −8.53 −0.42 8.70 90.82 6.15
2008 Aug 24 18:13:54.50 −30:07:05.2 2.0 −6.0 112 110 4.04 20.30 8.31 87.11 5.87
2008 Aug 24 18:18:25.27 −28:25:38.5 4.0 −6.0 116 113 4.99 29.13 8.18 87.00 5.79
2008 Aug 24 18:24:29.51 −25:47:41.7 7.0 −6.0 111 111 19.66 55.65 8.36 88.10 5.91
2008 Aug 24 18:26:51.06 −20:27:05.7 12.0 −4.0 105 104 29.39 85.59 7.84 79.94 5.54
2008 Aug 25 18:30:38.75 −18:36:13.3 14.0 −4.0 110 110 34.63 98.83 7.65 80.26 5.41
2008 Aug 25 18:38:04.33 −15:04:28.9 18.0 −4.0 106 103 28.39 107.73 6.09 61.77 4.30
2008 Aug 25 18:45:38.33 −11:32:11.6 22.0 −4.0 103 101 37.81 132.19 6.36 63.91 4.50

Note. aNumber of velocities before the σ-clipping algorithm removed one star in the calculation of the mean velocity and dispersion.

Download table as:  ASCIITypeset image

The M giants were selected from the 2MASS catalog; hence uniform and consistent astrometry and photometry is known for all targets. Figure 2 shows the color–magnitude diagram of the targets. Here the reddening values are taken from Schlegel et al. (1998). Our tests showed that application of the Schlegel et al. (1998) values led to a consistent decrease in the width of the RGB in lower latitude fields and gave a good overall consistency between the various fields, which span a wide range in Galactic latitude and longitude. Reddening and the abundance of target stars decreases as a function of galactic latitude, so the fields at b = −8° reach to K ∼ 10.1 mag whereas the fields at b = −4° and b = −6° go to K ∼ 9.5 mag. This selection was shown in Paper I and by Howard et al. (2009) to largely avoid the red clump in the bulge as well as the M giants belonging to the disk.

Figure 2.

Figure 2. Dereddened 2MASS color–magnitude diagram of the new 4352 M giants for which radial velocities have been determined. Their position on the CMD indicates they are bona fide bulge M giants.

Standard image High-resolution image

The data were reduced and the radial velocities were obtained in a similar manner as described in Paper I. After trimming, overscan-, and bias-correcting the spectra, cosmic rays were removed using the Laplacian edge-detection routine, L. A. Cosmic (van Dokkum et al. 2001). The IRAF task dohydra was used for aperture identification and tracing, flat-fielding, wavelength calibration, and sky subtraction. The cross-correlation routine, xcsao, in IRAF was then used to cross-correlate the spectra against our three radial velocity standard stars, obtain the radial velocities, and correct them to the heliocentric rest frame. The radial velocity standard stars were also used to apply the appropriate zero-point shift of the velocities.

To assess the consistency of our velocity results, a star-by-star comparison of stellar velocities was conducted of the field at (l, b) = (6, −4) as well as overlap stars from the field at (l, b) = (0, −6). Figure 3 shows 101 stellar velocities in the field at (l, b) = (6, −4) and the 16 velocities in the field at (l, b) = (0, −6) that are in common between the 2006 and 2008 data. As these velocities agree to within 5 km s−1 (the 1σ dispersion of the difference), this is the value adopted as the global, individual stellar velocity error. This error is identical to that found for the radial velocities in Paper I. This error is also similar to the velocity precision obtained with our spectra as reported by xcsao.

Figure 3.

Figure 3. Offset in stellar radial velocities between Paper I observations and the 2008 observations for field (l, b) = (6, −4) (open circles) and for field (l, b) = (0, −6) (closed circles). The size of the errors in the 2008 velocities as reported by xcsao is shown in the top left corner.

Standard image High-resolution image

The heliocentric velocities are corrected for the reflex motion of the Sun following Beaulieu et al. (2000) and the velocity dispersion is given by

Equation (1)

where σ2observed is the observed velocity dispersion of a given field. The second term represents the uncertainties in the individual stellar radial velocity (vz) measurements, where N is the number of stars in that field. Given the large amount of stars in each field, the second term is negligible, and hence σ2intrinsic = σ2observed. The average heliocentric and galactocentric velocities of each field are listed in Table 1. A 4σ-clipping algorithm is used to obtain these values; only one star is affected by this clipping.

The complete BRAVA catalog can be accessed at the Infrared Science Archive (IRSA), http://irsa.ipac.caltech.edu/, as well as at the University of California, Los Angeles (UCLA): http://brava.astro.ucla.edu/. Each BRAVA field is designated by its Galactic l and b, followed by the average helocentric and galactocentric velocity, error in velocity, dispersion, and error in dispersion, as described above. Lastly the wavelength range of the spectrum is given, as well as the number of stars in each field. The catalog includes all data from 2005, 2006, 2007, and 2008. Following the link beside each field allows the measurements of the individual stars in the field to be obtained, as well as the reduced spectra in fits format. An example of the format for the table of the individual radial velocities is shown in Table 2.

Table 2. Data for Individual Stars in BRAVA Fields

Aperture gal l gal b R.A. Decl. J H K VHC E J0 H0 K0 TiO 2MASS ID
  (deg) (deg) (J2000.0) (J2000.0) (mag) (mag) (mag) (km s−1) (BV) (mag) (mag) (mag) (mag)  
1 9.0256 −7.8183 278.9434 −24.7927 10.640 9.940 9.724 −56.4 0.405 10.275 9.707 9.575 −0.0345 18354640-2447338
3 8.6962 −8.0373 279.0005 −25.1823 11.116 10.381 10.136 101.8 0.418 10.739 10.140 9.983 −0.0390 18360011-2510562
4 9.0018 −7.8323 278.9456 −24.8201 10.468 9.625 9.298 −84.1 0.403 10.105 9.393 9.150 0.0055 18354694-2449123
7 9.2062 −7.7561 278.9694 −24.6047 10.643 9.843 9.590 −40.8 0.382 10.298 9.623 9.450 −0.0336 18355264-2436170
8 8.9748 −7.9853 279.0837 −24.9118 10.018 9.043 8.722 115.9 0.418 9.641 8.802 8.569 0.0895 18362009-2454424

Note. Spectra are available at http://brava.astro.ucla.edu/ and http://irsa.ipac.caltech.edu/.

Download table as:  ASCIITypeset image

2.1. Color/Magnitude Bias

It has been shown in Paper I and Howard et al. (2009) that bulge radial velocities summed over minor- and major-axis fields consist of a Gaussian distribution with no apparent deviation from a normal distribution. The data analyzed in Paper I are located physically closer to the Galactic center than the new data presented here. As the latter is located closer to the bulge/halo boundary, a comparison between the data presented here and that shown to be from a bona fide RGB bulge sample in Paper I can be used to investigate the possibility of color and/or magnitude bias in the present sample. The bulge RGB stars from the b = −8° and b = −6° fields are summed and shown in Figure 4. They yield an apparent Gaussian distribution with 〈VGC〉 = −8 ± 3 km s−1 and σ = 96 ± 2 km s−1 for the b = −8° fields and 〈VGC〉 = −10 ± 3 km s−1 and σ = 107 ± 3 km s−1 for the b = −6° fields. Both of these curves are consistent not only with each other, but also with those from Paper I, which suggests that these bulge samples in fact consist of a homogeneous, normally distributed stellar population. Any subpopulation is not significant enough to cause a departure from the Gauassian distribution.

Figure 4.

Figure 4. Histogram of all bulge RGB star galactocentric velocities for the fields at b = −8° (bottom) and b = −6° (top). Both distributions are normally distributed with negligible skew and kurtosis, which is consistent with a single kinematic population.

Standard image High-resolution image

3. TiOε AS METALLICITY INDICATOR

While our spectral range, in principle, offers a wealth of metallicity indicators, the standard calibrations of the line strengths of the three prominent Ca ii lines at 8498, 8542, and 8662 Å onto an [Fe/H] scale (e.g., Rutledge et al. 1997) fail for the cool M giants that make up the majority of the BRAVA sample. Here, the largest problem for measuring the CaT is its contamination with the strong TiOε band at 8430 Å, which becomes progressively stronger with decreasing Teff. In fact, this band has a strong dependence on stellar effective temperature (e.g., Milone & Barbuy 1994). Since we can estimate our Teff scale using the 2MASS infrared colors (Figure 6), measurements of the band strength then allow us to explore the variations with stellar metallicities (Sharples et al. 1990). In particular, at an expected mean of [Fe/H] ∼ -0.5 dex, the TiOε band will be very prominent in the metal rich bulge stars.

As a first step toward a comprehensive metallicity distribution, we follow Sharples et al. (1990) in extracting a TiO-strength index, TiOε, from our spectra, which is defined as a magnitude via

Equation (2)

where the fluxes are obtained from straight integration in the bands from 8370 to 8420 Å (F1) and 8440 to 8490 Å (F2). The 1σ error on this number, estimated from the variance in those spectral bands, is typically 0.05 mag. Values of each star's TiO index are provided in the final BRAVA catalog.17 Note that this molecular band is not measurable in the spectra taken in 2005 due to the instrumental setup.

Figure 5 compares our TiO measurements for the two sets of overlapping spectra, as is already done for the velocities in Figure 3. The 1σ scatter between both sets of TiOε is 0.04 mag with a mean difference below 0.01 mag. This is fully consistent with the uncertainty on the index, estimated above from the spectral variance.

Figure 5.

Figure 5. Offset in TiOε between stars observed in both 2006 and 2008. The filled circles correspond to stars in field (l, b) = (0, −6), and the open circles correspond to stars in field (l, b) = (6, −4).

Standard image High-resolution image

In Figure 6 the TiOε index is shown as a function of infrared color. The distribution of the molecular index in our spectra shows a narrow band around zero, i.e., there is no discernible TiO depression, but a well-defined pseudo-continuum in the warmer stars. This holds for a broader range in J − K between 0.7 and 1.1 mag. However, for stars redder than J − K ≳ 1.0 (corresponding to Teff ≲3700 K) there is a notable presence of progressively strong bands, leading to a linear rise in the TiO index.

Figure 6.

Figure 6. TiOε index (after Sharples et al. 1990) vs. infrared color. The solid lines in the bottom panel are based on α-enhanced Phoenix models for metallicities, [M/H] between −2.5 and +0.5 dex (right to left) in steps of 0.5, adopting log g = 1. A typical error bar is indicated in the top left corner.

Standard image High-resolution image

3.1. Phoenix Models

A dispersion in TiOepsilon at fixed (JK) can be due to both differential reddening and metallicity spread. To illustrate this, we consulted a set of synthetic spectra based on the Phoenix stellar atmosphere models. These offer a large grid of stellar atmospheric parameters and a spectral library in high resolution18 (Hauschildt et al. 1999, 2003). In particular, its meticulous treatment of cool stellar atmospheres and its vast input sets of molecular opacities makes this synthetic library ideally suited for comparison with the BRAVA data. Our chosen model grid consisted of Teff ranging from 3200 to 4500 K in steps of 100 K, log g = 0, 0.5, 1.0, 1.5, metallicities [M/H] = −2.5 to +0.5 in increments of 0.5 dex, and α-enhancement of +0.4 dex as well as solar-scaled abundances, i.e., [α/Fe] = 0 dex. This generously comprises the range of parameters spanned by the BRAVA late-type giant sample and is also consistent with the range in spectral types targeted in abundance studies of comparable stellar samples (Rich & Origlia 2005; Fulbright et al. 2006; Rich et al. 2007a). The synthetic spectra were then smoothed with a Gaussian kernel to mimic the resolution of the BRAVA spectra. Finally, all of the relevant quantities such as the TiOε index were derived from these convolved spectra in the same manner as for the observed data.

As Figure 6 indicates, the bulk of the target stars falls near [M/H] of −0.5 dex, which is consistent with the metallicity distribution functions in the literature19 (e.g., Rangwala & Williams 2009; De Propris et al. 2011; Johnson et al. 2011). Moreover, stars are found to cover a broad range from super-solar down to low metallicities around −1.5 dex, with a hint of a very metal poor extension toward −2 dex. A detailed, quantitative study of the abundance properties of the BRAVA sample will be presented in a forthcoming paper.

A number of points on the blue side of Figure 6 seem inconsistent with the Phoenix models. One reason for this may be that the Schlegel et al. (1998) reddening values overestimate the reddening, and these points should then come from the most reddened fields. We should explore which fields account for these points. When comparing the Schlegel et al. (1998) E(BV) values for 330 BRAVA stars located within the Gonzalez et al. (2011) reddening map, a ∼0.15 mag offset in E(BV) is seen, with the Schlegel et al. (1998) values being systematically larger. This translates to ∼0.08 mag in (JK); hence the Gonzalez et al. (2011) reddening values would move the (JK)0 values in Figure 6 to the red by roughly the spacing between the Phoenix curves, and the number of points on the blue side of the +0.5 dex Phoenix model would be decreased. Another possible contribution of uncertainties in the TiO strength is the uncertainty in the 2MASS photometry, which is roughly 0.03 to 0.1 mag in (JK). There has also been the long standing problem in the bulge (Frogel & Whitford 1987) that the bulge giants appear to have TiO that is much too high for their (JK). Further surveys such as APOGEE will obtain high-resolution, high S/N infrared spectroscopy of red giant stars across the Galactic bulge and may shed light on this issue.

3.2. Metallicity Gradients

Recent high-resolution spectroscopic studies of the bulge find a vertical abundance gradient in the sense of lower metallicities toward higher latitudes (e.g., Zoccali et al. 2008; Johnson et al. 2011; Gonzalez et al. 2011). Based on the large BRAVA sample, this issue can also be investigated (although, we only do it qualitatively in this paper). Figure 7 shows the TiO metallicity indicator separated by Galactic latitude. The Galactic longitude of these fields is l = 0°, and the Phoenix model for a metallicity of −0.5 dex is overplotted to guide the eye. It becomes immediately obvious that there is in fact a systematic difference between the fields with a tendency for the lower latitude fields to have higher metallicities—a trend consistent with recent suggestions of metallicity gradients across the bulge derived from the K giants (e.g., Zoccali et al. 2008; Johnson et al. 2011). This is also consistent with results of the M giant population from Frogel et al. (1999); they use IR CMDs to show there is a gradient in mean metallicity along the minor axis in the range 0° > b > −10°. Moreover, we find that the most prominent trend concerns the increase in metallicity spread as one approaches the inner bulge regions. However, a detailed analysis of the uncertainties in the reddening and photometry in the inner bulge regions as compared to those in the outer regions is necessary, especially as this is not seen in the high-resolution data (i.e., Zoccali et al. 2008; Johnson et al. 2011).

Figure 7.

Figure 7. Same as Figure 6, but separated by the Galactic latitudes covered by BRAVA. The gray-shaded region indicates the distribution in the b = −4° field and the Phoenix model for a metallicity of −0.5 dex is overplotted.

Standard image High-resolution image

Finally, we show in Figure 8 the entire sample segregated by stellar (K-band) magnitude. Among all of the magnitude bins the color–TiO distributions are broadly consistent with each other, bolstering our findings from Section 2.1 which argue against any color/magnitude bias in the BRAVA sample, also with regard to metallicity. The only apparent exception is the faintest bin, which exclusively contains stars at the highest latitude (Figure 2). Thus, the metallicity gradient also permeates this (magnitude-) subsample.

Figure 8.

Figure 8. Same as Figure 6, but segregated by stellar magnitude.

Standard image High-resolution image

If the Schlegel et al. (1998) extinction were higher than that of Gonzalez et al. (2011), it could in principle cause our derived (JK)0 to be too blue in the fields of greater extinction. As discussed above, the lower E(BV) of Gonzalez et al. (2011) has an 0.08 mag effect on (JK)0. However, this is unlikely to mimic a metallicity gradient. Small-scale variations in reddening are particularly strong in the inner regions, but these regions are mostly constrained to |b| <4° (see Gonzalez et al. 2011, their Figures 6 and 7). The metallicity gradient in the BRAVA data extends all the way to b = −1fdg5, but is also prominent when considering the b = −8° to b = −4° fields. Furthermore, we find a similar scatter (∼0.1 mag) and a similar offset (∼0.15 mag) in ΔE(BV) between Schlegel et al. (1998) and Gonzalez et al. (2011) of our b = −4° and b = −6° stars. Yet these fields still show a metallicity gradient. This strongly suggests that reddening uncertainties cannot fully explain away the slight metallicity gradient we are seeing.

4. OUTLIERS

Radial velocity surveys of the Milky Way halo have the potential to identify rare velocity outliers that result from dynamical processes throughout the Galaxy. The most obvious outlier in our sample is 2MASS 17464606-3937523 with a heliocentric radial velocity of 447 km s−1. Its spectrum is shown in Figure 9. The S/N is high, and to first order it looks metal poor. Unfortunately, at (l,b) = (−9.0433,−5.7386), it is not in the OGLE-II proper motion catalog (Sumi et al. 2004). Hypervelocity stars (HPVs) were first discovered by Brown et al. (2005) and are generally B-type stars moving 2–3 times the Galactic escape velocity. At a heliocentric velocity of ∼450 km s−1, the star may not qualify as a true HPV star, although at r = 50 to 100 kpc unbound stars have such velocities (Kenyon et al. 2008). A preliminary [Fe/H] based on the CaT is −0.86 ± 0.05 dex with an error purely based on the continuum variance and magnitude errors, not accounting for uncertainties in the calibration coefficients. This is not an unusual [Fe/H] value for a bulge star.

Figure 9.

Figure 9. Wavelength-calibrated spectrum of a velocity outlier in our sample with a heliocentric velocity of 447 km s−1. The CaT lines are labeled in the spectrum for reference.

Standard image High-resolution image

5. RESULTS AND ANALYSIS

Radial velocities, especially in minor axis fields, can constrain bulge models. Figure 10 shows the dispersion profile and rotation curve for the minor-axis strips at l = −6°, l = 6°, and l = 0°. The predictions of the Shen et al. (2010) models is overplotted. The Shen model uses a cylindrical particle-mesh code to construct an N-body model to the BRAVA data. The initial parameters adopted are an unbarred disk and a rigid pseudo-isothermal halo potential (see Shen et al. 2010 for details). In this model, the Milky Way self-consistently develops a bar, which buckles and thickens in the vertical directions. Hence, there is no classical bulge component, and the best-fit model predicts a bar half-length of ∼4 kpc, extending 20° from the Sun–Galactic-center line. The additional data presented here allow the Shen model to be compared to two more minor axis fields. As seen in Shen et al. (2010), the data agree well with the Shen model for both the mean velocity and velocity dispersion observations.

Figure 10.

Figure 10. Velocity dispersion profile (bottom) and rotation curve (top) for the l = −6°, +6°, and 0° strips. The open symbols indicate data already published and the filled symbols indicate the data presented here. The model of Shen et al. (2010) is overplotted in good agreement with the observations.

Standard image High-resolution image

Figure 11 shows the dispersion profile and rotation curve for the major-axis strips at b = −4°, b = −6°, and b = −8°. The b = −4° data come from Paper I and half of the b = −8° data come from Howard et al. (2009). The Shen model matches the observations well, validating the results of Shen et al. (2010). It is also worth noting that the rotation curves at b = −4°, −6°, and −8° are remarkably similar, suggesting that the Galaxy's bulge rotates cylindrically. This was suggested by Howard et al. (2009), but here the observational data are more plentiful and include additional fields at b = −6°. Thus our bolstering of the cylindrical rotation signal is further evidence that the bulge is an edge-on bar, as predicted by the Shen model.

Figure 11.

Figure 11. Velocity dispersion profile (bottom) and rotation curve (top) for the b = −4°, −6°, and −8° strips. The filled symbols indicate data already published and the open symbols indicate the data presented here.

Standard image High-resolution image

The velocity dispersion drops as one moves further in latitude from the Galactic disk plane. A hotter model contributes to a large velocity dispersion and the nucleus-spheroid component of the model is hot. However, the BRAVA data show remarkable agreement with the disk/bar component of the model with a relatively flat dispersion profile at ∼70 km s−1 contrasting with the spheroid dispersion, which is predicted to be at ∼120 km s−1. The turnover seen in the rotation curve at b = −4° is not evident at b = −6° or b = −8°.

Additionally, in Figure 12, the BRAVA fields extending past the main body of the bulge at l >10° are plotted. These observations lie outside the high surface brightness boundary of the COBE bulge and can be used to examine the extent of the bar/bulge and to look for signs of disk contamination. The full length of the bar is thought to be on the order of 3–4 kpc (Hammersley et al. 2000; Bissantz & Gerhard 2002; Cabrera-Lavers et al. 2007) and since the bar's pattern speed is relatively rapid, it effectively "controls" the region in which it lives. At the distance of the Galactic center (7.9 kpc), 4 kpc at the bar angle of ∼20 deg corresponds to ±l ∼16°. Indeed, the fields at l >15° show a drop in velocity dispersion as well as a higher mean velocity, which is due presumably to the presence of the inner disk component in these fields. Figure 12 also shows the observations from a sample of 373 PNe (Beaulieu et al. 2000); the BRAVA data confirm the rotation seen by the PNe at |l| > 12°, as well as a drop in the velocity dispersion in these fields. The region covered in the Beaulieu et al. (2000) data is −20° < l < 20° and −5° > b > −10°. Observations at |l| > 12° place important constraints for Galactic bulge theoretical models and predictions, such as the bar angle (Martinez-Valpuesta 2011, private communication).

Figure 12.

Figure 12. Velocity dispersion profile (bottom) and rotation curve (top) for all the b = −4° fields. The open symbols indicate data already published and the filled symbols indicate the data presented here. Overplotted is data from bulge PNe from Beaulieu et al. (2000), as well as the predictions of the Shen et al. (2010) model.

Standard image High-resolution image

The galactocentric velocity distributions of the new bulge fields are now presented in Figure 13. As with Paper I, a bin width of 25 km s−1 is used, driven by the approximate dispersion expected for cold components like a dissolving cluster or dwarf galaxy (∼10 km s−1). Simulations by Reitzel et al. (2007) show that with the number of stars we have in each field (∼100), deviations from a normal distribution are not unexpected in random draws. However, fields with the largest deviations from a normal distribution may aid in the selection of follow-up observations. To test for normality, the Shapiro–Wilk test (Shapiro & Wilk 1965; D'Agostino 1986) and the Anderson–Darling test (Press et al. 1986) are employed. These normality tests are two of the most powerful tests for deviations from normality and are especially useful for sample sizes that are relatively small, i.e., ∼100 particles. For example, the Shapiro–Wilk normality test has successfully been used by Kepley et al. (2007) to detect known streams in one component of velocity. For both of these tests, the smaller the p-value, the less likely it is that the data come from a normal distribution, and a p-value <0.05 rejects the supposition of normality. The results of these tests are given in Table 3. The tested BRAVA field is first listed in Table 3 followed by the number of stars in the field, the skewness and kurtosis, and its associated p-value from the Shapiro–Wilk test and from the Anderson–Darling test.

Figure 13.
Standard image High-resolution image
Figure 13.
Standard image High-resolution image
Figure 13.
Standard image High-resolution image
Figure 13.
Standard image High-resolution image
Figure 13.
Standard image High-resolution image
Figure 13.
Standard image High-resolution image
Figure 13.

Figure 13. Presentation of all bulge field galactocentric velocity distributions. Overlaid on each plot is a Gaussian derived from the field statistics.

Standard image High-resolution image

Table 3. BRAVA Rotation and Dispersion Results

gal l gal b Number Velocities Skewness σSkew Kurtosis σkurt p-index p-index
(deg) (deg)           (Shapiro–Wilk) (Anderson–Darling)
−6.5 −3.1 63 −0.60 0.31 0.07 0.62 0.043 0.126
5.5 −3.1 86 0.05 0.26 −0.31 0.53 0.842 0.991
0.0 −3.5 111 0.19 0.23 −0.41 0.46 0.035 0.004
4.0 −3.5 106 0.22 0.24 −0.64 0.48 0.182 0.266
1.0 −4.0 61 0.14 0.31 0.86 0.63 0.238 0.267
7.0 −4.0 93 −0.08 0.25 0.37 0.51 0.386 0.502
6.0 −4.0 106 −0.11 0.24 0.09 0.48 0.967 0.943
12.0 −4.0 104 0.07 0.24 −0.71 0.48 0.203 0.412
14.0 −4.0 110 0.28 0.23 −0.23 0.47 0.500 0.306
18.0 −4.0 103 0.27 0.24 −0.38 0.48 0.434 0.498
22.0 −4.0 101 −0.38 0.24 0.72 0.49 0.258 0.567
−1.0 −4.3 109 −0.17 0.23 −0.09 0.47 0.513 0.160
4.0 −4.5 108 −0.05 0.24 0.02 0.47 0.750 0.384
6.0 −4.8 106 0.26 0.24 −0.37 0.48 0.357 0.747
−6.5 −5.1 79 0.22 0.28 −0.06 0.55 0.789 0.728
−10.0 −6.0 103 0.15 0.24 −0.36 0.48 0.440 0.163
−9.0 −6.0 102 −0.02 0.24 −0.50 0.49 0.899 0.883
−8.0 −6.0 105 −0.24 0.24 −0.26 0.48 0.449 0.762
−7.0 −6.0 103 −0.04 0.24 1.96 0.48 0.087 0.495
−6.0 −6.0 96 0.43 0.25 1.43 0.50 0.116 0.542
−5.0 −6.0 108 0.25 0.24 0.57 0.47 0.075 0.329
−4.0 −6.0 112 0.38 0.23 0.11 0.46 0.084 0.426
−3.0 −6.0 109 0.01 0.23 0.55 0.47 0.803 0.506
−2.0 −6.0 109 0.06 0.23 1.62 0.47 0.130 0.364
−1.0 −6.0 110 −0.18 0.23 0.31 0.47 0.898 0.835
0.0 −6.0 109 0.09 0.23 −0.62 0.47 0.360 0.298
1.0 −6.0 112 0.22 0.23 0.03 0.46 0.793 0.614
2.0 −6.0 110 0.26 0.23 −0.36 0.47 0.517 0.754
3.0 −6.0 114 0.24 0.23 −0.55 0.46 0.092 0.109
4.0 −6.0 113 −0.33 0.23 0.60 0.46 0.083 0.556
5.0 −6.0 109 0.18 0.23 −0.58 0.47 0.436 0.523
6.0 −6.0 102 −0.35 0.24 −0.09 0.49 0.104 0.121
7.0 −6.0 111 −0.03 0.23 −0.37 0.46 0.661 0.507
8.0 −6.0 107 0.31 0.24 0.14 0.47 0.572 0.459
9.0 −6.0 111 −0.48 0.23 0.03 0.46 0.680 0.186
10.0 −6.0 192 −0.19 0.18 0.79 0.35 0.153 0.342
−6.0 −6.9 97 −0.12 0.25 −0.80 0.50 0.121 0.292
6.0 −6.9 98 0.32 0.25 −0.22 0.49 0.133 0.110
−10.0 −8.0 97 0.27 0.25 0.07 0.50 0.622 0.443
−9.0 −8.0 104 0.00 0.24 −0.01 0.48 0.894 0.864
−8.0 −8.0 99 0.24 0.25 0.53 0.49 0.655 0.545
−7.0 −8.0 102 0.41 0.24 1.01 0.49 0.059 0.117
−6.0 −8.0 94 1.38 0.25 4.91 0.51 0.0001 0.0001
−5.0 −8.0 108 −0.06 0.24 −0.10 0.47 0.627 0.649
−4.0 −8.0 99 0.78 0.25 2.68 0.49 0.002 0.227
−3.0 −8.0 114 0.01 0.23 −0.32 0.46 0.466 0.509
−2.0 −8.0 102 −0.42 0.24 0.16 0.49 0.255 0.320
−1.0 −8.0 96 0.71 0.25 2.42 0.50 0.006 0.079
0.0 −8.0 102 −0.01 0.24 0.03 0.49 0.922 0.773
1.0 −8.0 103 −0.05 0.24 0.40 0.48 0.762 0.686
2.0 −8.0 103 0.21 0.24 −0.09 0.48 0.467 0.268
3.0 −8.0 108 −0.33 0.24 0.89 0.47 0.422 0.299
4.0 −8.0 104 0.11 0.24 −0.13 0.48 0.802 0.934
5.0 −8.0 102 0.24 0.24 −0.05 0.49 0.519 0.481
6.0 −8.0 98 0.43 0.25 0.29 0.49 0.173 0.110
7.0 −8.0 102 −0.23 0.24 0.60 0.49 0.169 0.182
8.0 −8.0 99 −0.89 0.25 4.16 0.49 0.0001 0.090
9.0 −8.0 108 −0.61 0.24 1.89 0.47 0.007 0.288
10.0 −8.0 96 0.06 0.25 −0.61 0.50 0.460 0.585

Download table as:  ASCIITypeset image

In general, the skewness and kurtosis values are all within 1σ or 2σ, the exception being fields (l,b) = (−1,−8), (−4,−8), (−6,−8), (8,−8), and (9,−8). Upon closer examination, it is apparent that except for (l,b) = (−6,−8), which is discussed in more detail below, these fields each contain a star on the tail end of the distribution which greatly influences the skewness and kurtosis values. All of these fields also fail the Shapiro–Wilk normality test, which gives more weight to the tails of the distribution than the Anderson–Darling test. All of these fields are located at b = −8°, and it is likely that we are seeing some signatures of the bulge/disk boundary in these fields.

There are only two BRAVA fields that fail both the Shapiro–Wilk and the Anderson–Darling test. These fields are located at (l,b) = (0,−3.5) and (l,b) = (−6,−8). The former has a skewness and kurtosis consistent with a Gaussian distribution, but p-values that reject the supposition of normality. Removing the stars that lie in the tails of the distribution does not cause the p-value to increase and hence indicate normality. There is a strong peak in the velocity distribution at around −30 km s−1 and there are not many stars at ∼100 km s−1, which are the likely features causing the Shapiro–Wilk and Anderson–Darling tests to reject normality. Interestingly, the possible signature of a disrupted satellite reported by Rangwala & Williams (2009) at (l,b) = (+5.5,−3.5) has a velocity distribution excess around −35 km s−1. However, we find no correlation at (l,b) = (0,−3.5) with the stars that have velocities around −30 km s−1 and their TiO values. Our sample size is small, and follow-up observations of this field would be particularly interesting.

The field at (l,b) = (−6,−8), on the other hand, has the largest skewness and kurtosis of any BRAVA fields (1.38 ± 0.25 and 4.91 ± 0.51, respectively). Furthermore, it has three stars with heliocentric velocities, VHC, greater than 300 km s−1; the radial velocity dispersion of these three stars is 16 ± 7 km s−1. From our complete sample of 8585 stars, only 11 stars have velocities that are above 300 km s−1, and so it is striking that 3 of these stars are located in this field. Again it would be especially interesting to obtain follow-up observations of the stars in this field to see if more stars with such large velocities are found.

Figure 14 shows all the 8585 radial velocities obtained from the BRAVA data set co-added (bottom panel). The mean is 2 ± 1 km s−1 with a σ = 107 ± 1 km s−1. The skewness is negligible (0.03 ± 0.03) and the kurtosis of −0.17 ± 0.05 implies a slightly platykurtic (flattened) distribution. Both of these results are in agreement with the results found in Paper I. Furthermore, the lack of significant skewness and a small value of kurtosis is consistent with our argument that our bulge radial velocity distribution is not largely contaminated by either cold components (disk) or hot components (halo).

Figure 14.

Figure 14. Co-added galactocentric radial velocities of the BRAVA stars. In the top panel, each BRAVA field is shifted to zero before co-addition. A bin width of 15 km s−1 is used for both histograms. Neither distribution shows any signs of deviation from a Gaussian.

Standard image High-resolution image

A Shapiro–Wilk normality test fails for this co-added data set because the sample is too large; with 8585 stars, there are many radial velocities with very similar values. An Anderson–Darling normality test gives a p-value of 0.59 and a Kolmogorov–Smirnov test, which works best with large data sets, gives a p-value of 0.10. These results suggest no significant deviations from a Gaussian distribution.

The top panel of Figure 14 shows the radial velocities shifted onto zero and then co-added. The mean is −3 ± 1 km s−1 with a σ = 95 ± 1 km s−1. Again, the distribution is Gaussian, with no apparent deviation from a normal distribution. It is noteworthy that there is only one star in our sample with a velocity greater than ±4σ, which is discussed in Section 4.

Figure 15 shows the longitude–velocity plot for the three BRAVA major-axis strips. For latitudes closest to the plane (b = −4° and b = −6°) there is no evidence of a cold disk component in our sample which would manifest itself as a linear trend. However, farther from the plane (b = −8°, ∼1.2 kpc from the Galactic plane), the "S" shape is not as apparent, suggesting that the disk does contribute to the BRAVA sample in this regime. Indeed, as compared to the b = −4° and b = −6° fields, the b = −8° fields are also those that in general have skewness, kurtosis, and p-values that are least consistent with a normal distribution (see Table 3). Recent studies of PNe in the inner Milky Way suggest a bulge–disk interface at ∼1.5 kpc (Cavichia et al. 2011), consistent with our findings.

Figure 15.

Figure 15. Longitude–velocity (lv) plot for the entire bulge sample at b = −4° (top), b = −6° (middle), and b = −8° (bottom). The lv plot is smoothed to 1° in longitude and 10 km s−1 in galactocentric velocity. This figure shows the cylindrical rotation trend very clearly. Note the lack of any prominent "cold" features that would indicate a possible stream detection across multiple fields.

Standard image High-resolution image

Figure 16 shows the latitude–velocity plot for three BRAVA minor axis strips. As expected a linear trend is seen; neither cold components nor indications of a hot, non-rotating population are seen. However, we see "rotation" in the sense of solid body rotation.

Figure 16.

Figure 16. Latitude–velocity (bv) plot for the entire bulge sample at l = −6° (top), l = 0° (middle), and b = +6° (bottom). The sample is smoothed to 1° in latitude.

Standard image High-resolution image

5.1. A Milky Way Pseudobulge?

A vertical metallicity gradient in the bulge has been reported in several recent studies (Meléndez et al. 2008; Zoccali et al. 2008; Babusiaux et al. 2010; Johnson et al. 2011), and it has often been used as an argument against the boxy bulge/bar model of Shen et al. (2010). It is true that the collective bar buckling happens to essentially the whole disk that is in place at the time of the buckling instability, but a vertical metallicity gradient could still be consistent with the Shen bar/pseudobulge model. One possibility is that some of the vertical thickening could be produced by resonant heating of stars that scatter off the bar (Pfenniger 1984, 1985; Pfenniger & Norman 1990). If the most metal-poor stars are also the oldest stars, then they have been scattered for the longest time and now reach the greatest heights, hence giving rise to a vertical metallicity gradient. Second, the Shen et al. (2010) model still allows a relatively small merger-built classical bulge (about 10% of the disk mass); the mixing of two bulge populations could conceivably produce a vertical metallicity gradient (also see the Besancon model; Robin et al. 2011). A mixing of the bar/pseudobulge with the inner thick disk was also proposed to explain the vertical metallicity gradient (Bekki & Tsujimoto 2011).

That the Milky Way has a pseudobulge is consistent with the majority of the bright galaxies in the local 11 Mpc volume (Kormendy et al. 2010; Fisher & Drory 2011), especially for those galaxies with a mass similar to that of the Milky Way. Recently, an in-depth study of NGC 4565 has revealed that this galaxy also contains a pseudobulge and no hint of a merger-built classical bulge (Kormendy & Barentine 2010). Like the Milky Way, NGC 4565 has a peanut-shaped bulge which rotates cylindrically (Kormendy & Illingworth 1982) and has a strong abundance gradient (Proctor et al. 2000). Hence other galaxies besides the Milky Way with an abundance gradient but no (or very little) classical bulge are known to exist. Evolution of the vertical metallicity gradient, however, has not been extensively investigated by theoretical studies, but the model by Bekki & Tsujimoto (2011) is a step forward in understanding why an abundance gradient is observed in the bulge even if the bar evolved secularly.

6. CONCLUSIONS

We have presented the final data set of the BRAVA survey and provided a Web site for data access, which is available at the IRSA archive: http://irsa.ipac.caltech.edu/ as well as at UCLA: http://brava.astro.ucla.edu/. The observations at the b = −6° latitude fields as well as more observations at the b = −8° latitude fields confirm previous suggestions that the Galactic bulge rotates cylindrically, as do boxy bulges of other galaxies (e.g., Kormendy & Illingworth 1982; Jarvis 1990; Shaw 1993; Kormendy & Kennicutt 2004; Howard et al. 2009). The data in this paper double the number of stars shown in Paper I and Howard et al. (2009), and used in Shen et al. (2010). Analysis of these data in the same fashion shows that the Galactic bulge consists of a single massive bar formed by secular evolution. The existence of such a massive bar and no classical bulge implies that our Galaxy has not suffered any large mergers (enough to form a classical bulge) since the epoch at which the disk formed. Based on TiOε index measurements we qualitatively see the signatures of a vertical metallicity gradient—an attribute that is in contrast to our kinematic characterization of the bulge as a pure pseudobulge. A detailed analysis of the BRAVA metallicity scale and its spatial distribution is clearly warranted and underway.

It is our pleasure to thank Inma Martinez-Valpuesta and Ortwin Gerhard for helpful discussions. A. Kunder, R. M. Rich, C. I. Johnson, J. Shen, A. C. Robin, M. Soto, P. Frinchaboy, Y. Wang, and L. Origlia wish to acknowledge the hospitality of the Aspen Center for Physics, which is supported by the NSF Grant 1066293, and where much dialogue and exchange of ideas took place. A. Kunder thanks Dan Phillips for his work on the BRAVA Web site. A. Koch thanks the Deutsche Forschungsgemeinschaft for funding from Emmy-Noether grant Ko 4161/1. This material is based upon work supported by the National Science Foundation under award AST–0709479 to R. M. Rich and award AST–1003201 to C.I.J. The research presented here is partially supported by the National Natural Science Foundation of China under grant no. 11073037 to J. Shen and by 973 Program of China under grant no. 2009CB824800 to J. Shen. We thank the anonymous referee for suggestions that strengthened our analysis.

Footnotes

  • 15 

    The wavelength range for each BRAVA field is given in our data release, as it varies slightly depending on what year the observations were taken.

  • 16 

    CTIO is operated by AURA, Inc., under contract to the National Science Foundation.

  • 17 

    In a future paper (A. Koch et al. 2012, in preparation) we will explore the reliable calibration of the CaT line strengths onto metallicity for a subsample of the stars with warmer temperatures, in which the CaT is yet unaffected by TiO absorption. Our measured equivalent widths will then be added to this BRAVA release.

  • 18 
  • 19 

    Note, however, that such observations strictly derive MDFs based on iron abundances, [Fe/H], and a quantitative comparison with the models' global metallicity may not be straightforward.

Please wait… references are loading.
10.1088/0004-6256/143/3/57