Issue |
A&A
Volume 507, Number 2, November IV 2009
|
|
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Page(s) | 1117 - 1139 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/200912135 | |
Published online | 27 August 2009 |
A&A 507, 1117-1139 (2009)
Absolute positions of 6.7-GHz methanol masers
Y. Xu1,2 - M. A. Voronkov3,4 - J. D. Pandian1 - J. J. Li5 - A. M. Sobolev6 - A. Brunthaler1 - B. Ritter1 - K. M. Menten1
1 - Max-Planck-Institute f
r Radioastronomie,
Auf dem Hägel 69, 53121 Bonn, Germany
2 - Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing
210008, PR China
3 - Australia Telescope National Facility CSIRO, PO Box 76, Epping, NSW
1710, Australia
4 - Astro Space Centre, Profsouznaya st. 84/32, 117997 Moscow, Russia
5 - Key Laboratory for Research in Galaxies and Cosmology,
Shanghai Astronomical Observatory, Chinese Academy of Sciences,
Shanghai, 20030, PR China
6 - Ural State University, Ekaterinburg, 620083, Russia
Received 23 March 2009 / Accepted 24 July 2009
Abstract
The ATCA, MERLIN and VLA interferometers were used to measure the
absolute positions of 35 6.7-GHz methanol masers to subarcsecond
or higher accuracy. Our measurements represent essential preparatory
data for Very Long Baseline Interferometry, which can provide accurate
parallax
and proper motion determinations of the star-forming regions harboring
the masers. Our data also allow associations to be established
with infrared sources at different wavelengths. Our findings support
the view
that the 6.7 GHz masers are associated with the earliest
phases of high-mass star formation.
Key words: masers - instrumentation: interferometers - astrometry - Galaxy: structure
1 Introduction
The 51-60 A+ transition of methanol at 6.7-GHz produces the brightest methanol masers (Menten 1991). The masers are widespread in the Galaxy and more than 550 sources have been detected to date, including the compilations of Xu et al. (2003), Malyshev & Sobolev (2003), and Pestalozzi et al. (2005), and the searches of Caswell et al. (1995a), Caswell (1996a, 1996b), MacLeod et al. (1998), Szymczak et al. (2000), Pandian et al. (2007), Ellingsen (2007), and Xu et al. (2008).
It has been shown that 12.2-GHz methanol masers are excellent tools for determining the distances to massive star-forming regions by measuring their trigonometric parallax using very long baseline interferometry (VLBI) (e.g., Xu et al. 2006a). The 20-3-1 E transition at 12.2-GHz is the second brightest methanol maser transition and the locations of the 6.7-GHz and 12.2-GHz methanol maser spots largely overlap, with several features showing a one-to-one correspondence within milliarcseconds and the spectra of the two transitions typically covering similar velocity ranges (Menten et al. 1992; Norris et al. 1993; Minier et al. 2000). Since 6.7 GHz masers are almost always stronger, i.e., much stronger than their 12.2-GHz counterparts, they are also expected to be a useful for probing distances to massive star-forming regions in the Galaxy. Measuring accurate distances are critical for studying the massive star-forming regions individually and understanding the distribution of these regions in the context of our perception of the Galaxy's spiral structure.
For phase-referenced VLBI observations (mandatory for high precision astrometry), one usually employs strong masers as the phase-reference, and synthesizes images of nearby extragalactic continuum sources. The astrometric precision scales with the source separation and, statistically, weaker sources are found closer to masers. These sources can be detected (e.g., by VLA observations; see Xu et al. 2006b). On the other hand, for a successful VLBI astrometric measurement, one requires a position estimate of the maser position that is accurate to at least 1'', as input in the correlator. This means that a large number of masers in the literature have positions determined with single dish observations that are not accurate enough for VLBI observations. Here we report absolute position measurements of 35 6.7-GHz methanol masers with subarcsecond accuracy using the Australia Telescope Compact Array (ATCA), MERLIN and the NRAO Very Large Array (VLA). Most of the sources in our study are associated with 12.2-GHz counterparts.
2 Observations and data reduction
The ATCA observations were completed in 2006 April in the
6C configuration, which produces baselines from 153 to
6000 m. The observations were done in snap-shot mode. Each
source was observed in six 5-min scans spread over a range of hour
angles to ensure a good uv-coverage. The correlator was configured to
have a 4 MHz bandwidth with 1024 spectral channels.
Two orthogonal linear polarizations were observed and averaged together
during the data processing. The full width at half-maximum (FWHM)
of the primary
beam was 7.2'. The default pointing model was used, giving an rms
pointing accuracy of around of 5-10''. The accuracy of the
pointing model affects the accuracy of the flux density measurements,
particularly for sources that are offset from the pointing center. The
absolute flux density scale was determined from observations of PKS
B1934-638. The accuracy of the flux density calibration is expected to
be approximately 3%.
The bandpass
calibration was carried out using observations of the continuum
source 1921-293. The data were reduced with the MIRIAD package
using standard procedures.
The MERLIN observations were carried out in 2007 February using six telescopes, and in 2007 March using five telescopes. The correlator was used in two modes. The phase reference sources and the primary calibrator (3C84) were observed in wide-band mode with a bandwidth of 16 MHz and 32 spectral channels. The bandpass calibrator (also 3C84) and the targets were observed in the narrow-band mode with 2 MHz bandwidth and 256 spectral channels. The total on-source integration time per source was over 1 h, divided into a number of 5 min scans to achieve good uv-coverage. The flux density of 3C84 was assumed to be 14.5 Jy in February 2007 and 15 Jy in March 2007. The initial calibration and conversion of the data to FITS format was done using the local MERLIN software, and subsequent analysis was done using the Astronomical Image Processing System (AIPS). The instrumental phase offset between the wide band and narrow band data was derived using 3C84 (see the MERLIN User Guide for details; Diamond et al. 2003).
Table 1: 6.7-GHz methanol masers observed with ATCA.
Table 2: Same as Table 1 for the 6.7-GHz methanol masers observed with MERLIN.
Table 3: Same as Table 1 for the 6.7-GHz methanol masers observed with VLA.
The VLA observations were conducted on 2009 January 27 in BnA configuration using 18 EVLA antennas. The observations were done in single IF mode (A1, RCP) with each source being observed in three scans with an integration time of 2.75 min per scan. The full 3.125 MHz bandwidth was divided into 256 channels. For all target sources the bandwidth was always centered on the velocity of 14.75 km s-1 with respect to the local standard of rest. The primary beam was 6.75'. The total flux density of the flux calibrator 3C 286 was calculated to be 6.072 Jy. The source 2007+404 served as a bandpass calibrator and 2084+431 was the phase reference calibrator for all target sources.
The spectral resolution was 0.18, 0.35 and 0.55 km s-1 for the ATCA, MERLIN and VLA observations, respectively. The rest frequency of 6668.5192 MHz was assumed for all observations.
After imaging the targets, the AIPS package task ``JMFIT'' was used to determine the fluxes and positions of each maser feature in all observations.
3 Results
The accuracy of the absolute maser positions is limited by several factors, such as source elevation, weather conditions, length and type of observations, position accuracy of the phase calibrator, and signal-to-noise ratio. For the ATCA data, the typical signal-to-noise ratio is over 500, and the phase calibrators have positions accurate to better than 0.15''. Hence, we assume that most of the target sources have an absolute position accuracy of 0.5'' or higher, except for sources that are close to the celestial equator. This is a typical position accuracy of ATCA data (Caswell et al. 1995c; Walsh et al. 1998; Phillips et al. 1998; Minier et al. 2001; Caswell 2009). For the MERLIN data, the typical signal-to-noise ratio is at least 100, and all but one phase calibrator are from the Jodrell Bank-VLA Astrometric Survey, which has a position accuracy of higher than 5 ms. Hence, we estimate that the absolute positions of the target sources are accurate to within 0.1''. The source IRAS 20290+4052 was observed by both the VLA and MERLIN, and the VLA positions deviate from the MERLIN positions by 0.05''. On the other hand, our previous observations with the VLA B configuration have a position uncertainty of better than 0.1'' (Xu et al. 2006b). Therefore, a position uncertainty of better than 0.1'' is expected for sources observed with the VLA. A position uncertainty of better than 1''is sufficient for successful observations using the European VLBI Network (EVN) and the Very Long Baseline Array (VLBA), for example to determine parallax measurements.
Tables 1-3 list the
properties of the 6.7-GHz methanol sources
observed with the ATCA, MERLIN, and VLA, respectively. For sources
that exhibit multiple masing spots, the properties of individual
spots are given in separate rows. In the three tables, the first
three columns show the source name and J2000 equatorial
coordinates. Columns 4 and 5 give their Galactic coordinates.
Columns 6 and 7 show the radial velocity of the maser
peak and that
of the molecular lines, respectively. Column 8 presents the
peak
flux density. Columns 9 to 11 present the distance of
the source
from the Galactic center and its heliocentric kinematical distance.
The kinematical distances were calculated using the velocities of
molecular lines, such as CO, CS, and NH3 (where
these data are
available; for other sources, the maser peak velocity was used) and
the Galactic rotation model of Wouterloot & Brand (1989),
assuming R0
= 8.5 kpc and km s-1.
The
uncertainties in kinematic distances were estimated by applying
10 km s-1
velocity offsets.
3.1 Notes on selected sources
The spectra of the 6.7-GHz methanol masers are shown in Figs. 3-5, for sources observed with the ATCA, MERLIN, and VLA, respectively . The ATCA data have a velocity resolution of 0.18 km s-1 which is sufficient to resolve the multiple velocity components of each source. The velocity resolution of the VLA data is 0.55 km s-1. The velocity resolution of the MERLIN data is only 0.7 km s-1 after Hanning smoothing (because of the limitations of the correlator), which results in the blending of individual components in the spectra. Here we present notes on some sources.
G8.8316-0.0281 . There are at least six features within the velocity range of 10 km s-1 that have peak flux densities exceeding 10 Jy/beam. The strongest feature is at the LSR velocity of -3.9 km s-1.
G8.8722-0.4928. There are only two features stronger than 10 Jy/beam, at +23.4 and +24.1 km s-1. The two features are spectrally blended together.
G14.1014+0.0869. There are a number
of features located within a 0.2
region. The
strongest 6.7 GHz peak is at the velocity of the second
strongest 12.2-GHz
feature (Blaszkiewicz & Kus 2004).
G23.0099-0.4107. The features span the velocity range from 70.1 to 83.2 km s-1, as do the 12.2-GHz maser features in this source, although they do not coincide precisely. There are at least 5 features for which the peak flux density exceeds 10 Jy/beam. The strongest feature is at the same velocity as the strongest 12.2-GHz maser (Caswell et al. 1995b). However, the 6.7-GHz feature corresponding to the second strongest 12.2-GHz feature at +76.6 km s-1 is not clearly distinguishable from the other lines.
G23.2068-0.3777. This source has two prominent peaks. The strongest feature is at the same velocity, 81.7 km s-1, as the strongest feature at 12.2-GHz (Blaszkiewicz & Kus 2004).
G24.1480-0.0092. The spectra at both 6.7-GHz and 12.2-GHz (Blaszkiewicz & Kus 2004) are similar and dominated by a single feature.
G27.3652-0.1659. There are clearly five features with peak flux densities exceeding 10 Jy/beam. The emission has a spatial extent of 0.1'' and is confined to a narrow velocity range of approximately 5 km s-1. The 12.2-GHz spectrum is dominated by a single feature (Caswell et al. 1995b). The peak velocity is the same for both 6.7 and 12.2-GHz masers. Our observations detected an unresolved 8.6 GHz continuum source that is offset by about 2.4'' from the maser.
G29.8630-0.0442. There are three
strong features within an area of .
The
strongest feature at 6.7-GHz matches the velocity of the second
strongest 12.2-GHz feature and vice versa (Caswell et al. 1995b).
G30.1987-0.1687 and G30.2251-0.1796. The two sources are separated by 103''. The peak velocities are +108.6 km s-1 and +113.5 km s-1 for G30.1987-0.1687 and G30.2251-0.1796, respectively. There are two corresponding 12.2-GHz features at +108.5 and +110.2 km s-1, respectively (Caswell et al. 1995b), which are likely to originate in the same two emission centres. However, a high angular resolution study at 12.2-GHz is required to confirm this. Although there are a number of features in both sources, only these two peaks have peak flux densities that exceed 10 Jy/beam.
G30.8987+0.1616. There are two features with peak flux densities exceeding 10 Jy/beam. The emission peaks at 12.2 and 6.7 GHz are close in velocity.
S255. The spectrum of Szymczak et al. (2000) shows multiple spectral features, which are not visible in the VLA spectrum because of its poor velocity resolution. However, imaging shows two maser sites separated by 0.2''.
18556+0136. The spectrum of Szymczak et al. (2000) shows multiple spectral features. However, in this study we found only a single feature. The 12.2-GHz spectrum also has multiple features, but is dominated by just two peaks (Caswell et al. 1995b).
G43.15+0.02. The spectrum of Caswell et al. (1995a) indicated that multiple features were present. We detected only one spectral feature. Its velocity corresponds to that of the strongest 12.2 GHz feature (Caswell et al. 1995b).
19120+0917. This sources exhibits multiple features that coincide in velocity with the 12.2-GHz features (Blaszkiewicz & Kus 2004).
19186+1440. This source displays multiple features at 6.7-GHz in the range from -16 to -9 km s-1. Szymczak et al. (2000) also reported 6.7-GHz emission in the velocity range from -31 to -25 km s-1, which was not detected in our observations.
![]() |
Figure 1:
Positions of 495 6.7-GHz masers at the near (open
triangles), far (open squares) kinematic distances, and of the outer
Galaxy (filled circles) in the Galactic plane. The distances
calculated using the Galactic rotation model of Wouterloot &
Brand
(1989),
assuming R0
= 8.5 kpc and |
Open with DEXTER |
![]() |
Figure 2: Same as in Fig. 1, but the revised distances from Reid et al. (2009) have been used. There is little difference between Figs. 1 and 2 in the inner Galaxy, but there is a far closer agreement between the model and the data in the Perseus arm region of the outer Galaxy. |
Open with DEXTER |
19303+1651 and 20290+4052. The spectra of these sources are both dominated by a single feature. Each velocity component has its 12.2-GHz counterpart (Blaszkiewicz & Kus 2004).
ON1. This source consists of two separate masing sites with a separation of around 1''. The peak velocities for these two sites are 15.7 and -0.1 km s-1.
21381+5000. There is only one feature detected in the MERLIN observations, while Szymczak et al. (2000) detected multiple features.
![]() |
Figure 3: Spectra of the 6.7-GHz methanol masers from the ATCA observations. The spectral resolution is approximately 0.18 km s-1. |
Open with DEXTER |
4 Methanol masers and spiral arms
![]() |
Figure 4: Same as Fig. 3, but for the spectra obtained with the MERLIN. The spectral resolution is approximately 0.7 km s-1. |
Open with DEXTER |
![]() |
Figure 4: continued. |
Open with DEXTER |
Since 6.7-GHz methanol masers appear to be exclusively associated
with massive star-forming regions, they are reliable tracers of the
spiral arms of the Galaxy. This is especially so since the lifetime
of methanol masers is understood to be about 104 yr
(van der
Walt 2005).
To investigate whether any information about the spiral
structure of the Galaxy can be inferred from the data of methanol
masers detected to date, we compiled a table of all known 6.7-GHz
methanol masers (Table 5). The LSR velocities in
Table 5
originate in molecular lines such as CS, CO, and NH3,
where
such data are available. For other sources, the velocity of the
maser peak was used. The kinematical distances were calculated using
the Galactic rotation model of Wouterloot & Brand (1989),
assuming
R0
= 8.5 kpc and km s-1.
We made no
attempt to calculate the distances for those sources, which are
located in the two Galactic longitude ranges
and
,
where the uncertainty
in the kinematic method is large.
A significant fraction of the sources in the first and the fourth Galactic quadrants are affected by an ambiguity between two distances, the near and the far distance. This kinematical distance ambiguity has been resolved for only a small number of methanol masers (Pandian et al. 2008). Sobolev et al. (2005) proposed that statistically, it is preferable to assume a more nearby kinematic distance than a far distance. The left panel of Fig. 1 shows a face-on diagram of the Galaxy, where the near kinematic distance is assumed for all sources affected by a distance ambiguity. Spiral arm loci from the NE2001 model of Cordes & Lazio (2002) are superimposed. It can be seen that there is little if any correlation between the location of methanol masers and the spiral arm model. The right panel of Fig. 1 shows the same diagram, but with the far distance being assumed for all masers affected by a distance ambiguity. Qualitatively, there appears to be a stronger correlation with the spiral arm loci in the right-hand panel than in the left-hand one. Keeping in mind that in reality there are only a fraction of sources located at the near distance, and that the kinematic distances have relatively large uncertainties, it seems possible to reconcile the spiral arm model with the distribution of methanol masers in the Galaxy. However, this exercise does suggest that the assumption of the majority of sources being at the near kinematic distance may be flawed. This suggestion can be corroborated by a general observation that the majority of young massive star-forming regions associated with HII regions appear to be at the far distance in the studies able to resolve the ambiguity (e.g., Kolpak et al. 2003).
Figure 1
also shows that there is a poor correspondence between the
spiral arm model and the massive star-forming regions in the outer
Galaxy where there is no distance ambiguity. This is mostly caused
by a significant deviation from the circular rotation in the Perseus
arm region (Xu et al. 2006a).
Based on the VLBI parallax
measurements for a number of massive star forming-regions, Reid
et al. (2009)
found that these regions orbit the Galactic center 15 km s-1
slower than the Galaxy itself, if one assumes
circular rotation. In addition, the motion of the Sun towards the
local standard of rest (LSR) was found to be consistent with that
derived by Dehnen & Binney (1998) from
Hipparcos data. We hence
recalculated kinematic distances using the methodology explained in
Sect. 4 of Pandian et al. (2008) - the
radial velocities were
recalculated to the new frame of solar motion, and kinematic
distances were calculated using the Galactic rotation curve of
Wouterloot & Brand (1989)
with R0
= 8.4 kpc and
km s-1
(Reid et al. 2009),
assuming that the massive star
forming-regions were rotating 15 km s-1
slower than predicted
by the rotation curve. The left-hand and the right-hand panels of
Fig. 2
show the equivalent of Fig. 1 for the new kinematic
distances. It can be seen that there is little difference between
Figs. 1
and 2
for the inner Galaxy, but there is now much closer agreement between
the model and the data in the Perseus arm region
of the outer Galaxy.
5 Association with star formation tracers
It is well established that the 6.7-GHz methanol masers are associated with high-mass stars (e.g., W3(OH); see Menten et al. 1992), which are able to pump the masers by heating a sufficient amount of surrounding dust to temperatures higher than 100 K, or producing hypercompact HII regions with extremely high emission measures (Sobolev et al. 2007). No 6.7-GHz methanol masers have been found to be associated with low-mass young stellar objects (Minier et al. 2003; Bourke et al. 2005).
![]() |
Figure 5: Same as Fig. 3, but for the VLA spectra. The spectral resolution is approximately 0.55 km s-1. |
Open with DEXTER |
Maser surveys suggest that the 6.7-GHz methanol masers are associated with different phases of development in the HII regions (Ellingsen 2007). Almost all 6.7-GHz masers are found to be associated with 1.2 mm emission (Hill et al. 2005), while many have no associated 8.6-GHz continuum emission (Walsh et al. 1998). Relevant cases can be found even within one star-forming region, e.g., NGC6334 I, which possesses a maser cluster associated with a prominent ultracompact HII region and another one associated with the sub-mm core and a candidate hypercompact HII region with very weak radio continuum emission (Hunter et al. 2006).
Maser positions measured to subarcsecond accuracy allow us to study the connection between the methanol masers and the other signposts of massive star formation. However, there are no published high resolution continuum surveys in radio or submillimeter wavelengths that cover all or a significant fraction of the sources in our sample. Hence, we focus on infrared counterparts from all sky or Galactic plane surveys.
Table 4
presents the association with infrared sources. Among the
35 sources in our sample, 25 are in the inner Galaxy, while 10
are located in the outer Galaxy. In the inner Galaxy, 19 of
25 sources
are covered by the GLIMPSE survey, which is limited to Galactic
longitudes, .
Seventeen sources have a GLIMPSE
point source within 5 arcsec, dropping to 11 within
2 arcsec. Most
sources with no nearby point source in the GLIMPSE catalog or
archive data are associated with extended emission, and one source
(G23.2068-0.3777) is associated with an infrared dark cloud. Only
four sources have flux measurements in all four bands (often due to
extended emission in the other bands), and hence we do not attempt
to compare the properties of the sources with those published
previously (e.g., Ellingsen 2006).
Twenty-one masers have a 2MASS point-source counterpart within 5 arcsec, dropping to 9 within 2 arcsec. Most of the sources show an infrared excess based on their JHK colors, which is indicative of an association with protostars. Four sources show no infrared excess, suggesting that they are either foreground stars or more evolved objects. By Cross-correlating with the GLIMPSE catalog, only five GLIMPSE sources are found to have 2MASS counterparts. This strongly suggests that most of the 6.7-GHz methanol masers do not have 2MASS counterparts, and that most of the nearby 2MASS sources are more evolved young stellar objects in the star-forming region. This supports the results of Ellingsen (2005, 2006).
Since the black-body emission of the warm dust, hypothesized
to be
the pump source for the masers, peaks at around 25 m
(Ostrovskii & Sobolev 2002), one
expects all methanol masers to
have mid/far infrared counterparts. Two surveys with data at this
wavelength range are the all sky survey of IRAS,
and the MIPSGAL
survey using the Spitzer space telescope. Keeping in mind that the
IRAS point source catalog is limited by both source
confusion and
poor resolution, 20 methanol masers have an IRAS
point source
within 30 arcsec. We note that 9 of 10 sources
located in the outer
Galaxy, where source confusion is not as severe as in the inner
Galaxy, have an IRAS point source with an infrared
luminosity
greater than 103
.
However, due to the poor
resolution of the IRAS satellite, it is possible
that a single
point source in the IRAS catalog may correspond to
multiple
star-forming sites in the molecular cloud. Hence, higher spatial
resolution data is required to infer properties such as the
luminosity and mass of the source associated with the maser.
Table 4: Association of the 6.7-GHz methanol masers with the GLIMPSE, 2MASS, MSX, and IRAS point sources.
![]() |
Figure 6:
Gray scale is the MIPSGAL 24 |
Open with DEXTER |
![]() |
Figure 6: continued. |
Open with DEXTER |
MIPSGAL is a Galactic plane survey at 24 and 70 m using the
MIPS camera of the Spitzer Space Telescope (Rieke et al. 2004; Carey
et al. 2005).
The survey is limited to Galactic longitudes between 5
and 63 degrees in the first Galactic quadrant and 298 and
355 degrees in the fourth quadrant for Galactic latitudes
.
Eighteen sources in our sample are covered by the survey,
and all sources are associated with 24
m emission, as shown in
Fig. 6.
An association with point sources (which
are occasionally saturated) is evident for 16 sources, while
for 2 sources (G43.15+0.02 and W51e2)
the images are completely
saturated. It is thus reasonable to expect that all the 6.7-GHz
methanol masers have MIPSGAL counterparts. However, image artifacts
such as saturation make it difficult to determine 24
m fluxes.
Further observations will be required before we will be able to
determine their spectral energy distributions and dust properties.
Fifteen sources in our sample have an MSX point source within 5''.
When restricted to sources that are covered by the MIPSGAL survey,
only six sources have a nearby MSX source. The far poorer statistics
of the associations with MSX sources is probably caused by the
coarser spatial resolution of the MSX satellite and its poorer
sensitivity.
6 Conclusions
Absolute positions with an accuracy of 1 arcsecond or higher have been determined for 35 6.7-GHz methanol masers. Our measurements are essential to a future VLBI astrometric follow-up observations. Kinematic distances to the masers imply that they do not trace the spiral arms well irrespective of whether they are at the near or far kinematic distances, although there is a small improvement if the rotation curve of Reid et al. (2009) is used. Although our sample is not statistically complete, the number of associations with infrared sources is consistent with the expectation that the 6.7 GHz masers are associated with the early phases of massive star formation.
AcknowledgementsWe would like to thank the referee, Simon Ellingsen, for many useful suggestions and comments which help us to improve this paper. The Australia Telescope is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO. We thank Drs. A. M. S. Richards and R. Beswick for help in reducing MERLIN data. This work was supported by the Chinese NSF through grants NSF 10673024, NSF 10733030, NSF 10703010 and NSF 10621303, and NBRPC (973 Program) under grant 2007CB815403. AMS was supported by RFBR grants 07-02-00628-a and 08-02-00933-a. This work used the NASA/IPAC Infrared Science Archive.
References
- Anglada, G., Estalella, R., et al. 1996, ApJ, 463, 205 [CrossRef] [NASA ADS]
- Beuther, H., & Sridharan, T. K. 2007, ApJ, 668, 348 [CrossRef] [NASA ADS]
- Bourke, T. L., Hyland, A. R., & Robinson, G., 2005, ApJ, 625, 883 [CrossRef] [NASA ADS]
- Blaszkiewicz, L., & Kus, A. J. 2004, A&A, 413, 233 [EDP Sciences] [CrossRef] [NASA ADS]
- Bronfman, L., Nyman, L.-A., & May, J. 1996, A&AS, 115, 81 [NASA ADS]
- Carey, S. J., Noriega-Crespo, A., Price, S. D., et al. 2005, BAAS, 37, 1252 [NASA ADS]
- Caswell, J. 1996a, MNRAS, 279, 79 [NASA ADS]
- Caswell, J. 1996b, MNRAS, 283, 606 [NASA ADS]
- Caswell, J. L. 2009, PASA, in press
- Caswell, J. L., Vaile, R. A., Ellingsen, S. P., et al. 1995a, MNRAS, 272, 96 [NASA ADS]
- Caswell, J. L., Vaile, R. A., Ellingsen, S. P., et al. 1995b, MNRAS, 274, 1126 [NASA ADS]
- Caswell, J. L., Vaile, R. A., & Forster, J. R. 1995c, MNRAS, 277, 210 [NASA ADS]
- Churchwell, E., Walmsley, C. M., & Cesaroni, R. 1990, A&AS, 83, 119
- Cordes, J. M., & Lazio, T. J. W. 2002 [arXiv:astro-ph/0207156]
- Dehnen, W., & Binney, J. J. 1998, MNRAS, 298, 387 [CrossRef] [NASA ADS]
- Diamond, P. J., & Kemball, A. J. 2003, ApJ, 599, 1372 [CrossRef] [NASA ADS]
- Ellingsen, S., von Bibra, M., McCulloch, P., et al. 1996, MNRAS, 280, 378 [NASA ADS]
- Ellingsen, S. P. 2005, MNRAS, 359, 1498 [CrossRef] [NASA ADS]
- Ellingsen, S. P. 2006, ApJ, 638, 241 [CrossRef] [NASA ADS]
- Ellingsen, S. P. 2007, MNRAS, 377, 571 [CrossRef] [NASA ADS]
- Felli, M., Palagi, F., & Tofani, G. 1992, A&A, 255, 293 [NASA ADS]
- Fontani, F., Caselli, P., et al. 2006, A&A, 460, 709 [EDP Sciences] [CrossRef] [NASA ADS]
- Garay, G., Moran, J. M., & Rodriguez, L. F. 1993, ApJ, 413, 582 [CrossRef] [NASA ADS]
- Gaylard, M., & MacLeod, G. 1993, MNRAS, 262, 43 [NASA ADS]
- Hill, T., Burton, M. G., Minier, V., et al. 2005, MNRAS, 363, 405 [NASA ADS]
- Hunter, T. R., Brogan, C. L., Megeath, S. T., et al. 2006, ApJ, 649, 888 [CrossRef] [NASA ADS]
- Juvela, M. 1996, A&AS, 118, 191 [EDP Sciences] [CrossRef] [NASA ADS]
- Kim, K. T., & Koo, B. C. 2003, ApJ, 596, 362 [CrossRef] [NASA ADS]
- Kolpak, M. A., Jackson, J. M., Bania, T. M., Clemens, D. P., & Dickey, J. M. 2003, ApJ, 582, 756 [CrossRef] [NASA ADS]
- Larionov, G. M., Val'tts, I. E., Winnberg, A., et al. 1999, A&AS, 139, 257 [EDP Sciences] [CrossRef] [NASA ADS]
- MacLeod, G., & Gaylard, M. 1992, MNRAS, 256, 519 [NASA ADS]
- MacLeod, G. C., Gaylard, M. J., & Kemball, A. J. 1993, MNRAS, 262, 343 [NASA ADS]
- MacLeod, G. C., van der Walt, D., North, A., et al. 1998, AJ, 116, 2936 [CrossRef] [NASA ADS]
- Mauersberger, R., Henkel, C., Wilson, T. L., et al. 1986, A&A, 162, 199 [NASA ADS]
- Malyshev, A. V., & Sobolev, A. M. 2003, A&ATr 22, 1
- Menten, K. 1991, ApJ, 380, 75 [CrossRef] [NASA ADS]
- Menten, K. M., Reid, M. J., Pratap, P., Moran, J. M., & Wilson, T. L. 1992, ApJ, 401, 39 [CrossRef] [NASA ADS]
- Minier, V., Booth, R., & Conway, J. 1998, A&A, 336, L5 [NASA ADS]
- Minier, V., Booth, R., & Conway, J. 2000, A&A, 362, 1093 [NASA ADS]
- Minier, V., Conway, J., & Booth, R. 2001, A&A, 369, 278 [EDP Sciences] [CrossRef] [NASA ADS]
- Minier, V., Ellingsen, S., Norris, R., et al. 2003, A&A, 403, 1095 [EDP Sciences] [CrossRef] [NASA ADS]
- Molinari, S., Brand, J., et al. 1996, A&A, 308, 573 [NASA ADS]
- Norris, R. P., Whiteoak, J. B., Caswell, J. L., Wieringa, M. H., & Gough, R. G. 1993, ApJ, 412, 222 [CrossRef] [NASA ADS]
- Ostrovskii, A. B., & Sobolev, A. M. 2002, IAUS, 206, 183 [NASA ADS]
- Pandian, J. D., Goldsmith, P. F., & Deshpande, Avinash, A. 2007 ApJ, 656, 255
- Pandian, J. D., Momjian, E., & Goldsmith, P. F. 2008, A&A, 486, 191 [EDP Sciences] [CrossRef] [NASA ADS]
- Pestalozzi, M., Minier, V., & Booth, R. 2005, A&A, 432, 737 [EDP Sciences] [CrossRef] [NASA ADS]
- Phillips, C. J., Norris, R. P., Ellingsen, S. P., et al. 1998, MNRAS, 300, 1131 [CrossRef] [NASA ADS], 275
- Pillai, T., Wyrowski, F., Carey, S. J., et al. 2006, A&A, 450, 569 [EDP Sciences] [CrossRef] [NASA ADS]
- Pirogov, L., Zinchenko, I., et al. 2003, A&A, 405, 639 [EDP Sciences] [CrossRef] [NASA ADS]
- Plume, R., Jaffe, D. T., Evans, N. J., II, et al. 1992, ApJS, 78, 505 [CrossRef] [NASA ADS]
- Reid, M. J., Menten, K. M., Zheng, X. W., et al. 2009, ApJ, 700, 137 [CrossRef] [NASA ADS]
- Rieke, G. H., Young, E. T., Engelbracht, C. W., et al. 2004, ApJS, 154, 25 [CrossRef] [NASA ADS]
- Russeil, D. 2003, A&A, 397, 133 [EDP Sciences] [CrossRef] [NASA ADS]
- Schneider, N., Bontemps, S., Simon, R., et al. 2006, A&A, 458, 855 [EDP Sciences] [CrossRef] [NASA ADS]
- Schutte, A., van der Walt, D., Gaylard, M., et al. 1993, MNRAS, 261, 783 [NASA ADS]
- Slysh, V., Val'tts, I., & Kalenskii, S. 1999, A&AS, 134, 115 [EDP Sciences] [CrossRef] [NASA ADS]
- Sobolev, A. M., Ostrovskii, A. B., Kirsanova, M. S., et al. 2005, Massive Star Birth, ed. E. Churchwell, P. Conti, & M. Felli, A Crossroads of Astrophysics Proc. IAU Symp., 227
- Sobolev, A. M., Cragg, D. M., Ellingsen, S. P., et al. 2007, IAUS, 242, 81 [NASA ADS]
- Solomon, P. M., Rivolo, A. R., Barrett, J., et al. 1987, ApJ, 319, 730 [CrossRef] [NASA ADS]
- Szymczak, M., Hrynek, G., & Kus, A. J. 2000, A&AS, 143, 269 [EDP Sciences] [CrossRef] [NASA ADS]
- Szymczak, M., Kus, A., Hrynek, G., Kepa, A., & Pazdereski, E. 2002, MNRAS, 392, 277 [NASA ADS]
- Szymczak, M., Bartkiewicz, A., & Richards, A. M. S. 2007, A&A, 468, 617 [EDP Sciences] [CrossRef] [NASA ADS]
- Teyssier, D., Hennebelle, P., & Perault, M. 2002, A&A, 382, 624 [EDP Sciences] [CrossRef] [NASA ADS]
- van der Walt, D., 2005, MNRAS, 360, 153 [CrossRef] [NASA ADS]
- van der Walt, D., Gaylard, M., & MacLeod, G. 1995, A&AS, 110, 81 [NASA ADS]
- van der Walt, D., Retief, S., Gaylard, M., & MacLeod, G. 1996, MNRAS, 282, 1085 [NASA ADS]
- van der Walt, D. J., Sobolev, A. M., & Butner, H. 2007, A&A, 464, 1015 [EDP Sciences] [CrossRef] [NASA ADS]
- Vilas-Boas, J. W. S., & Abraham, Z. 2000, A&A, 355, 1115 [NASA ADS]
- Walsh, A., Hylard, A., Robinson, G., & Burton, M. 1997, MNRAS, 291, 261 [NASA ADS]
- Walsh, A. J., Burton M. G., Hyland A. R., et al. 1998, MNRAS, 301, 640 [CrossRef] [NASA ADS]
- Wouterloot, J. G. A., & Brand, J. 1989, A&AS, 80, 149 [NASA ADS]
- Wouterloot, J. G. A., Brand, J., & Fiegle, K. 1993, A&AS, 98, 589 [NASA ADS]
- Wu, Y., Zhang, Q., Yu, W., et al. 2006, A&A, 450, 607 [EDP Sciences] [CrossRef] [NASA ADS]
- Xu, Y., Zheng, X. W., & Jiang, D. R. 2003, Chinese J. Astron. Astrophys., 3, 49 [CrossRef] [NASA ADS]
- Xu, Y., Reid, M. J., Zheng, X. W., et al. 2006a, Science, 311, 54 [CrossRef] [NASA ADS]
- Xu, Y., Reid, M. J., Menten, K. M., et al. 2006b, ApJS, 166, 526 [CrossRef] [NASA ADS]
- Xu, Y., Li, J. J., Hachisuka, K., et al. 2008, A&A, 485, 729 [EDP Sciences] [CrossRef] [NASA ADS]
- Zhang, Q., Hunter, T. R., Brand, J., et al. 2005, ApJ, 625, 864 [CrossRef] [NASA ADS]
- Zinchenko, I., Mattila, K., & Toriseva, M. 1995, A&AS, 111, 95Z [NASA ADS]
Table 5: Parameters of 592 6.7-GHz methanol masers.
Footnotes
- ...%
- For details of the calibration using 1934-638, query this calibrator at the ATCA calibrators webpage (http://www.narrabri.atnf.csiro.au/calibrators).
All Tables
Table 1: 6.7-GHz methanol masers observed with ATCA.
Table 2: Same as Table 1 for the 6.7-GHz methanol masers observed with MERLIN.
Table 3: Same as Table 1 for the 6.7-GHz methanol masers observed with VLA.
Table 4: Association of the 6.7-GHz methanol masers with the GLIMPSE, 2MASS, MSX, and IRAS point sources.
Table 5: Parameters of 592 6.7-GHz methanol masers.
All Figures
![]() |
Figure 1:
Positions of 495 6.7-GHz masers at the near (open
triangles), far (open squares) kinematic distances, and of the outer
Galaxy (filled circles) in the Galactic plane. The distances
calculated using the Galactic rotation model of Wouterloot &
Brand
(1989),
assuming R0
= 8.5 kpc and |
Open with DEXTER | |
In the text |
![]() |
Figure 2: Same as in Fig. 1, but the revised distances from Reid et al. (2009) have been used. There is little difference between Figs. 1 and 2 in the inner Galaxy, but there is a far closer agreement between the model and the data in the Perseus arm region of the outer Galaxy. |
Open with DEXTER | |
In the text |
![]() |
Figure 3: Spectra of the 6.7-GHz methanol masers from the ATCA observations. The spectral resolution is approximately 0.18 km s-1. |
Open with DEXTER | |
In the text |
![]() |
Figure 4: Same as Fig. 3, but for the spectra obtained with the MERLIN. The spectral resolution is approximately 0.7 km s-1. |
Open with DEXTER | |
In the text |
![]() |
Figure 4: continued. |
Open with DEXTER | |
In the text |
![]() |
Figure 5: Same as Fig. 3, but for the VLA spectra. The spectral resolution is approximately 0.55 km s-1. |
Open with DEXTER | |
In the text |
![]() |
Figure 6:
Gray scale is the MIPSGAL 24 |
Open with DEXTER | |
In the text |
![]() |
Figure 6: continued. |
Open with DEXTER | |
In the text |
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