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Astron. Astrophys. 358, 521-534 (2000)
3. Mean radial distribution of embedded OB stars
Using the kinematic information provided by the
line for the detected IRAS sources,
we have derived their galactocentric distances assuming purely
circular motion about the galactic center. For simplicity we used a
linear rotation curve and the standard IAU constants,
kpc and
km
. For lines of sight toward the
galactic center and anticenter the VLSRs of the sources are small and
may have large fractional errors due to systematic or random peculiar
motions. Thus, for the analysis here we have excluded all sources
within 10o of the galactic center and within 5o
of the anticenter. Therefore, a total number of 748 detected sources
have been used for the present analysis (Table 1), of which 349
(47%) are in the northern Galaxy (I and II quadrants) and 399 (53%)
are in the southern Galaxy (III and IV quadrant).
After finding the galactocentric distance R for each source,
they were binned in annuli wide. The
total number of sources in each ring was divided by the ring sampled
area to evaluate the azimuthally averaged number surface density of
massive star formation regions as a function of galactocentric radius
north, south, and for the complete dataset (Table 2; Fig. 3). The
derivation depends only on the assumption of pure circular motion, and
uses the kinematic galactocentric distance of each source, which can
be derived one-to-one from the CS(2-1) velocity profiles.
![[FIGURE]](img64.gif) |
Fig. 3. The left column shows the number of detected sources divided by the sampled area, as a function of R, for the northern ( ) Galaxy (top row), the southern ( ) Galaxy (medium row), and the whole Galaxy (bottom row). The center column shows, in the same order, the azimuthally averaged face-on FIR galactic surface luminosity produced by embedded massive stars; the right column shows the azimuthally averaged FIR luminosity per embedded massive star forming region. The solid line corresponds to the complete dataset. The dashed line represents the dataset corrected for incompleteness of the sample, as described in Sect. 3.5
|
![[TABLE]](img66.gif)
Table 2. The embedded massive stars layer
3.1. Centroid and thickness of the OB star formation layer
To derive the azimuthally averaged centroid
and thickness
(HWHM) of the massive star formation
layer we need to calculate the first and second order moments of the
Z distribution for each of the galactocentric rings analyzed.
Within the solar circle, however, for each source there are two
possible kinematic heliocentric distances allowed by the rotation
curve and, therefore, two possible values of Z. Following
Paper I, we assume that the distribution
of sources is of gaussian form in
Z,
![[EQUATION]](img70.gif)
where R is the galactocentric distance,
and
are fixed for each ring and A is a
normalization constant. We then calculate the first and second order
moments of the Z distribution in each ring,
and
, by evaluating a statistical
average, using weights that depend on the near or far distance from
the plane, and
:
![[EQUATION]](img75.gif)
and
![[EQUATION]](img76.gif)
where is the number of sources in
a ring at galactocentric distance R,
, ,
and the normalization condition is
used.
The centroid is equal to the
first order moment , and the
thickness (HWHM) is given by
![[EQUATION]](img81.gif)
The weights and
depend in turn of
and
at each ring, so the problem is
cyclic. It can be solved by an iterative procedure (Casassus 1995),
starting with reasonable values, like
and
pc, close to the average HWHM of the
H2 layer within the solar circle.
While it is clear that each source is either at the near or at the
far distance within the solar circle, the weights used in the
statistical averages account for the probability of each source to be
at the near or far distance by using the well known latitude
effect , i. e., the farther away a source, the more likely to be
close to the galactic plane. The weights are used only to derive large
scale averages in a statistical sense, and not individually to derive
a mean distance for each source. The results of the iterative
calculation are displayed in Fig. 4 and listed in Table 2; empty
spaces in the table correspond to those rings where the number of
detected sources is less than 3, not enough to have a convergent
iteration so as to derive values for
and .
![[FIGURE]](img97.gif) |
Fig. 4. The azimuthally averaged centroid (top panel) and the thickness (HWHM) of the massive star formation layer (bottom panel) are shown for the northern ( ) Galaxy (left); the southern ( ) Galaxy (center); and the complete Galaxy (right)
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3.2. Azimuthally averaged FIR surface luminosity produced by embedded OB stars
The azimuthally averaged face-on FIR surface luminosity is
evaluated by summing the luminosities of the sources in each ring and
dividing the result by the sampled area. The average luminosity per
source is the ratio of the summed luminosity in each ring to the
number of sources considered. We estimate the FIR flux of a source as
the sum over the four IRAS bands,
![[EQUATION]](img99.gif)
where are the IRAS band flux
densities, as listed in the IRAS PSC (Pérault 1987). The FIR
luminosity for each source, outside the solar circle, is computed as
, where D is its kinematic distance,
obtained from its CS(2-1) line profile. We overcome the two-fold
distance ambiguity, within the solar circle, by evaluating the total
luminosity in each ring, , as a
weighted sum. Like for the Z moments, in that sum we use the
latitude effect to take into account the probability for each
source to be at the near or far distance in the galactic disk,
i.e.,
![[EQUATION]](img103.gif)
where and
are the luminosities that the source
would have at the near and far distances, respectively. The weights
and
are obtained using the values of
and
listed in Table 2. For the
innermost ring, at = 0.25, where no
model is available, and at = 0.35 in
the north, we use the subcentral distances to estimate the
luminosities. The FIR surface luminosity produced by regions of
massive star formation and the average FIR luminosity per region, as a
function of R, are shown in Table 3 and Fig. 3. The
procedure used to remove the distance ambiguity, within the solar
circle, is fully equivalent to the direct partitioning
technique used to derive the H2 surface density in
Paper I (see Eq. 4 and Fig. 15).
![[TABLE]](img107.gif)
Table 3. FIR surface luminosity
3.3. Errors derivation
The errors in the number surface density N consider only the
counting statistics assuming a Poisson distribution. The uncertainties
in the best values of the parameters
and were estimated on the basis that
the errors are dominated by the peculiar motions of the sources, which
we assume to be of km s-1
(VLSR). Using this value we have then calculated the uncertainties in
the kinematic distances, and in the quantities which are derived from
the kinematic distances. At , in the
northern Galaxy, the average luminosity per source is dominated by one
source, G70.293 (BNM), a very bright UC H II region in the Perseus
spiral arm.
The uncertainties in the values
have also a contribution from the instrumental errors in the IRAS
detectors. We used the errors in the 100 µm band as
representative of the fractional flux uncertainty for each source
(Casassus et al. 2000). When the flux value obtained by IRAS is only
an upper limit, the error has been assumed to be of -100%. There is
also some level of correlation in the position of the sources; as an
example, for massive star forming GMCs in the IV galactic quadrant
there are embedded UC H II regions
per GMC (Bronfman 1992). We have taken into account such correlation
by computing for each galactocentric ring
, the average number of sources that
lie within a box of sides 2o by 2o by
20 km s-1 - a representative maximum value for a GMC - and
multiplying the errors in at each
ring by .
3.4. Spiral structure and the axisymmetric analysis
What are the shortcomings in our analysis caused by deviations from
axial symmetry in the galactic distribution of embedded OB stars?
Images of external galaxies clearly show a high concentration of
massive star formation in spiral arms, and the same should be expected
for our own Galaxy. While the large scale distribution of OB stars in
the Milky Way cannot be traced optically because of dust obscuration
in the disk, H II regions produced by these stars can be observed in
radio-recombination lines, like
H 109 , and have been used to study
the spiral arm structure of our Galaxy (Georgelin & Georgelin
1976; Downes et al. 1980). The UC H II regions, which point at very
young star forming regions, still embedded in their parental molecular
clouds, could be even more confined to spiral arms than the extended H
II regions observed in centimetric wavelengths.
Spiral arms within the solar circle appear to be more separated and
less difficult to trace in the southern Galaxy than in its northern
counterpart. These arms, as outlined by CO emission from molecular
clouds, are tangent to the line of sight at longitudes
(Carina);
(Crux);
(Norma); and
(3-kpc expanding arm). The tangent
longitudes are traced by discontinuities in (a) the galactic CO
emission integrated in velocity and latitude I(l)
(Paper I; Grabelsky et al. 1987) and in (b) the rotation curve
derived from CO observations (Alvarez et al. 1990). The distribution
of H II regions in the southern Galaxy, derived from an extensive
survey of hydrogen recombination lines toward 5 GHz continuum sources
(Caswell & Haynes 1987), is consistent also with the presence of
these four spiral arm segments in the IV galactic quadrant.
To test our axisymmetric analysis we have derived the mean radial
distribution of UC H II regions in the southern Galaxy in the
framework of this generally accepted spiral arm model. Most GMCs
identified through CO observations in the southern Galaxy are
coincident, in space and velocity, with one or more radio H II regions
from the Caswell & Haynes (1987) sample, as well as with several
UC H II regions from the dataset we analyze here. We have used those
radio H II regions from Caswell & Haynes that have well defined
distances, derived through H2CO absorption lines, to remove
the distance ambiguity for the associated GMCs and for their embedded
UC H II regions (Bronfman 1992). These GMCs, together with the tangent
points listed above, trace a spiral arm pattern in the
longitude-velocity diagram (Fig. 5). The distance ambiguity for the
remaining GMCs is removed by assigning each one to the closest spiral
feature in the longitude-velocity diagram. For some GMC's in the far
side of the Crux arm, close to the solar circle, we use their
size-to-linewidth ratio to distinguish them from local clouds with
small VLSRs.
![[FIGURE]](img125.gif) |
Fig. 5. The spiral arm pattern used for the analysis. The arms are labelled 1 (Carina), 2 (Crux), 3 (Norma), and 4 (3-kpc). The CO emission (Paper I; Grabelsky et al. 1987) integrated in latitude from to is represented in gray-scale. Lowest contour level is at 3 . The scale in the inset figure is in kpc, and the galactic center is labelled G.C.
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The mean radial distribution of FIR surface luminosity produced by
embedded UC H II regions, obtained using the spiral model, is fairly
similar to that obtained using the axisymmetric analysis (Fig. 6a).
The average luminosity per source (Fig. 6b) shows a secondary peak,
close to , caused by the far side of
the Crux spiral arm cutting through the solar circle at
. We do not quote errors in this
comparison because the spiral model, although well updated, involves
much uncertainty and we are mainly interested in the general trend of
the mean radial variations. It is apparent that the peaks are at the
same positions and the general shapes are the same for both analyses.
The axisymmetric analysis, however, seems to overestimate the mean FIR
luminosities for radii other than the main peak locus.
![[FIGURE]](img129.gif) |
Fig. 6. a FIR surface luminosity and b average luminosity per source, as a function of R, for the southern Galaxy. The solid line shows the results obtained by removing the two-fold distance ambiguity, within the solar circle, using a spiral model. The dotted line shows the results obtained using the axisymmetric analysis
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3.5. Completeness of the sample and contamination by low luminosity sources in the solar neighborhood
The question of completeness has been adressed in general by WC89,
who show that UC H II regions are tightly confined in the FIR
color-color plot, and can be easily distinguished from other entries
in the IRAS PSC. Thus, the distinctive FIR colors of embedded massive
stars can be used to count the number of such objects in the Galaxy.
They conclude that all embedded O stars and some B stars will be
detected by the color-color criterion applied to the IRAS PSC in the
Galaxy. Contamination of the sample by cloud cores with lower mass
stars has been analyzed by Ramesh & Sridharan (1997), who argue
that the total number of potential UC H II regions in the WC89 sample
is only about 25% of the sample. Our own criterion, based on the
detection of the CS(2-1) line toward each of the UC H II region
candidates (BNM), brings down the original WC89 sample by a factor of
.
We analyze here the question of completeness of the sample as a
function of distance; this is particularly necessary to understand the
behaviour of the number density and mean luminosity of sources near
the solar circle. The FIR luminosity versus distance for all sources
in the sample analyzed is shown in Fig. 7. The fairly homogeneous
distribution in distance of sources with FIR luminosities larger than
suggests that our sample is
complete above such luminosity level. Closer than
kpc from the Sun the sample appears
to be contaminated by lower luminosity sources. To test our results we
have reanalyzed our data applying a lower FIR luminosity cutoff to the
sample, both for the spiral and for the axisymmetric model. Wouterlout
et al. (1995, their Fig. 20b) show that the WC89 FIR color criterion
for UC H II regions tends to select point sources with
. Thus, even if the IRAS PSC were
more sensitive, there would be little point in reducing the luminosity
limit much under .
![[FIGURE]](img136.gif) |
Fig. 7. FIR luminosity versus distance for all the sources in the sample. Within the solar circle (left) the dots represent distances and luminosities obtained through the weighting method (See Sect. 3), while the circles represent subcentral sources, with better determined distances. Outside the solar circle (right) all distances are well defined
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The CS(2-1) detection requirement appears not to introduce
additional biases so we consider unnecessary to address separately the
completeness of the CS survey. The observed antenna temperatures
within the solar circle, in
particular for the subcentral sources, are not distance dependant. For
sources outside the solar circle, the average
is 0.9 K for distances between 2
and 6 kpc, and 0.6 K beyond. The SEST beamwidth of 50" (FWHM) projects
a linear size of 2.4 pc at 10 kpc, about the typical size of CS cores
harbouring massive star formation (Bronfman 1992), so beam-dilution is
not a stringent problem for the CS detections.
The mean radial distribution of the FIR surface luminosity does not
change noticeably when a lower cutoff luminosity is applied to the
sample. We have computed the azimuthally averaged FIR surface
luminosity and the mean luminosity per source as a function of
galactocentric radius, using the same spiral analysis as in Sect. 3.4
within the solar circle, and a lower cutoff luminosity
. The results are presented in
Fig. 8, and the number of sources above the cutoff is listed, for each
ring, in Table 1 (in parenthesis). At the cutoff value used, the
three peaks in the average luminosity per source have the same
magnitude, i.e . These peaks are
dominated by sources located in the far sides of the Norma arm
( ), the Crux arm
( ), and the Carina arm
( ).
![[FIGURE]](img146.gif) |
Fig. 8. a FIR surface luminosity and b average luminosity per source, as a function of (R), in the southern Galaxy. The two-fold distance ambiguity, within the solar circle, has been removed using a spiral model. The results obtained using the complete dataset are shown with the solid line; results obtained when leaving out all sources with FIR luminosities lower than 8000 are shown by the dotted line
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While we cannot, for the time being, confirm that the average
luminosity per source diminishes with galactocentric radius, it is
tempting to suggest that UC H II regions appear to be very good
tracers of spiral arm structure in the Galaxy, and that a full spiral
analysis of their distribution in the Milky Way is mandatory. While in
the present paper we perform a zero'th order axisymmetric comparison
of the distribution of OB star formation regions and of molecular
clouds, there is an evident necessity of resolving the two-fold
distance ambiguity for all these regions in order to refine the
present results, within the solar circle, and extend them toward a
more exact analysis of the mean luminosity per source, which has a
direct impact on the determination of the IMF for massive star forming
regions.
The FIR surface luminosity derived from the axisymmetric analysis,
our main result, remains also fairly unchanged (Fig. 3) when a lower
luminosity cutoff is applied to the sample. The FIR surface luminosity
at each radius is the product of the number of sources considered, per
unit area, times their average luminosity. While the number surface
density of sources decreases when a luminosity cutoff is applied,
particularly for the solar neighborhood, the average luminosity per
source increases, since we are not taking into account the less
luminous sources for the average. Therefore the results we present
next, based on our determination of the FIR surface luminosity
produced by embedded massive stars and its comparison with the
H2 surface density within the solar circle, appear to be
not too affected by problems of completeness. As for the effects of
spiral structure over the derived FIR surface density, they are small
and would have presummably the same effects over the distribution of
molecular hydrogen derived using an axisymmetric model.
© European Southern Observatory (ESO) 2000
Online publication: June 8, 2000
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