Astron. Astrophys. 327, 325-332 (1997)
2. Cloud properties
2.1. Individual cloud properties
Our sample consists of all the detected clouds located beyond 2 kpc
from the Sun. Confusion to identify the individual clouds in the
southern outer Galaxy occurs only at low velocities
( ) which correspond to local clouds at distances
within 1.5 kpc of the Sun. Also, because it is not possible to obtain
accurate estimates of their distances kinematically, we have
considered only those clouds located beyond 2 kpc from the Sun.
Since some clouds can be quite far from the Sun and subtend a small
angular size, we included in our analysis only those whose angular
extension was larger than 3 beam-widths. The angular extension of each
cloud was measured within the 3 contour of the
line intensity integrated over the velocity range of the cloud's CO
emission. Also, clouds that were too close to the latitude boundaries
of the survey were discarded to avoid errors in the determination of
the sizes. Therefore, after applying to the deep CO survey such a
selection criteria, we have ended up with a sample of 177 molecular
clouds whose main physical properties are included in Table 2.
Columns 1 and 2 correspond to the positions, in galactic coordinates,
of the peak of the CO emission of each cloud. Columns 3 and 4 include
and that correspond to
the peak and FWHM of the gaussian fit, respectively. They have been
determined from a gaussian fit to the cloud's composite
spectrum, i.e., the sum of all spectra across the cloud's projected
surface.
![[TABLE]](img27.gif)
Table 2. Molecular clouds beyond 2 kpc from the Sun in the third galactic quadrant
![[TABLE]](img28.gif)
Table 3. (continued)
2.1.1. Distance
Since outside the solar circle there is no distance ambiguity,
heliocentric distances to all 177 clouds in Table 2 (column 5)
were determined kinematically, using the rotation curve of Brand
(1986), and Brand and collaborators (Wouterloot & Brand 1989;
Brand & Blitz 1993) with the new galactic constants,
and kpc (Kerr &
Lynden-Bell 1986). Also the rotation curve of Alvarez et al. (1990),
determined from CO emission in the inner Galaxy (fourth quadrant), was
used for testing purposes. We have found that both rotation curves
give very close results in the outer Galaxy indicating that the flat
rotation curve at of Alvarez et al. (1990) can
be extrapolated to the whole Galaxy.
2.1.2. Radius
We define the effective radius of a cloud (column 6 in
Table 2) as , where A is the actual
projected area obtained from the angular extent of each cloud,
measured from the spatial maps, and the distance. The measurements of
the angular area of a cloud might be subjected to significant errors
mainly because the CO emission from the clouds in the outer Galaxy is
rather weak and their angular extent is small as they are usually
quite far away. The angular extent of each cloud was measured within
the contour of the line intensity integrated
over the velocity range of the cloud's CO emission.
2.1.3. Mass
The mass, , of each cloud was estimated
directly from its luminosity on the empirically
based assumption that the integrated CO line intensity is proportional
to the column density of H2 along the line of sight (e.g.
Lebrun et al. 1983; Sanders et al. 1984; Bloemen et al. 1986). Thus,
the masses were computed using the relation
![[EQUATION]](img33.gif)
where w is the mean molecular weight per H2
molecule, X is the constant ratio of H2 column
density to integrated intensity, and
is the luminosity given
by
![[EQUATION]](img35.gif)
where is the line
intensity integrated over all velocities and lines of sight within the
boundaries of the cloud, and d is the heliocentric distance of
the cloud. In practice, is computed by
integrating the emission over the full velocity extent of the cloud,
as exhibited in the galactic latitude-velocity or longitude-velocity
diagrams, and over the face of the cloud, defined by its
contour in the spatial maps.
Several authors (Mead & Kutner 1988; Digel et al. 1990;
Sodroski 1991) have claimed that X in the outer Galaxy is
larger than in the inner Galaxy varying from a factor of 2 (Mead &
Kutner 1988), between 2 and 3 (Sodroski 1991), to
(Digel 1991). We have adopted here a value for
X equal to twice the value for the inner Galaxy because it is
compatible with the three estimates used for the outer Galaxy. Strong
et al. (1988), through an improved analysis of the work by Bloemen et
al. (1986) together with new data, derived a value of
molecules cm-2 (K km s
. However, this X has to be scaled down by
0.82 from the published value to account for the different calibration
scale of the database from which it was derived (Bronfman et al.
1988), which gives molecules cm-2
(K km s for the inner Galaxy (Murphy & May
1991; Mauersberger et al. 1996). Therefore, assuming a mean molecular
weight per H2 molecule of 2.72 times the mass of the H atom
to account for the He content (Allen 1973), and adopting a value of
molecules cm-2 (K km s
for our sample of clouds, we have
![[EQUATION]](img41.gif)
where is in and
is in K km s-1 kpc2
deg2. Note that denotes the
total mass of molecular gas based on the integrated CO
intensity. Table 2 (column 7) includes for
the 177 clouds in our sample, in units of .
For comparison the virial mass of each cloud
was also derived using the relation
![[EQUATION]](img45.gif)
where is in solar masses,
is the effective radius of the cloud, in pc,
and is the HPFW of the cloud's composite
spectrum, in km s-1. Eq. (4) assumes: 1) the cloud is in
virial equilibrium, 2) the cloud is spherical with a
density distribution, where r is the
distance from its center, 3) the observed line
width of the cloud is an accurate measure of the net velocity
dispersion of its internal mass distribution, which is believed to be
clumpy on many scales (e.g. Zuckerman & Evans 1974; Blitz &
Stark 1986); or in other words, the cloud is free from magnetic or
other non-gravitational forces of pressure (e.g. MacLaren et al.
1988). We are aware that magnetic forces and especially pressure terms
may be important for clouds located in the galactic disk near spiral
arms and regions of strong activity, like HII regions, supernovae,
young stars, etc. (e.g. Myers & Goodman 1988; Elmegreen 1989;
Mouschovias 1995), however, in the outer Galaxy the clouds are, in
general, more isolated from their surroundings and the possible tidal
effects that might take place are expected to be less important than
those occurring inside the solar circle. In any case, for simplicity
we have not considered in Eq. (4) the magnetic and pressure terms. We
have adopted the density distribution
considering the work of Fitzgerald et al. (1976), Dickman (1978),
Snell (1981), Lorent et al. (1983), Arquilla & Goldsmith (1985)
and Brand & Wouterloot (1995).
2.2. Statistical cloud properties
We have investigated some power-law relations found by several
authors (e.g. Larson 1981; Myers 1983; Dame et al. 1986; Solomon et
al. 1987; Sodroski 1991). Fig. 1 shows the relation between line-width
and radius, , for the clouds in our sample. The
straight line is a least-squares fit (corr. coeff. 0.61) given by
![[EQUATION]](img51.gif)
with and . The
exponent is in agreement with previous determinations which range
between 0.4 and 0.5 (e.g. Larson 1981; Dame et al. 1986; Solomon et
al. 1987; Mead & Kutner 1988; Sodroski 1991).
![[FIGURE]](img49.gif) |
Fig. 1. Logarithm of the observed line width (FWHM) of each cloud in Table 2 versus the logarithm of its radius . The straight line shows the least-squares fit to the data given by the equation
|
Fig. 2 shows the relationship between the mean H2 number
density and radius for the clouds in our sample. The mean
H2 number density, was computed
directly from the values of and
given in Table 2, assuming a mean molecular
weight per H2 molecules of 2.72 times the mass of the H
atom. A least-squares fit of
![[EQUATION]](img58.gif)
to the data in Fig. 2 (corr. coeff. -0.82) gives
and , where
is in cm-3 and
is in pc. The power-law exponent
is similar to the value
found by Sodroski (1991) for his sample of outer Galaxy clouds.
![[FIGURE]](img56.gif) |
Fig. 2. Logarithm of the mean H2 number density of each cloud in Table 2 versus the logarithm of its radius . The straight line represents the least-squares fit to the data given by the equation
|
For clouds in virial equilibrium the following condition has to be
fulfilled
![[EQUATION]](img63.gif)
For our clouds , so we will assume they are
in approximate virial equilibrium. It should be noted that in
recent years several authors (e.g. Maloney 1990; Issa et al. 1990;
Combes 1991; Adler &Roberts 1992) have questioned whether the
size-line width relationship indicates that the clouds are
gravitationally bound objects.
To compare the virial masses with those computed from
luminosities, following Dame et al. (1986) and
Sodroski (1991), we have plotted the ratio of the observed composite
line widths, , to the values expected in virial
equilibrium, , as a function of the effective
radius, (Fig. 3). Because of the assumptions
made (3.1.3) represents the net FWHM velocity
dispersion of the internal mass distribution of a virialized spherical
cloud with density distribution, mass
and radius , and is given
by
![[EQUATION]](img74.gif)
where is in km s-1,
is in and
is in pc.
![[FIGURE]](img72.gif) |
Fig. 3. Ratio of the observed line width (FWHM) to the virial theorem velocity width (FWHM) versus cloud radius. The straight line represents the least-squares fit to the data given by the equation - . Since this line is not perfectly horizontal at the clouds in our sample are in approximate virial equilibrium only
|
From Fig. 3 we can see that the line fitted to the data is not
perfectly horizontal at , indicating some
dependence of the ratio on the size of the clouds. This effect, that
can also be seen in Fig. 3 of Sodroski (1991) and Fig. 4 of Leisawitz
(1990), could be interpreted as a dependence of X on cloud
size, something already commented by Scoville et al. (1987). Also Fig.
3 shows that the dispersion in the data decreases with increasing size
indicating perhaps that only the larger clouds are self gravitating,
that is, closer to virial equilibrium than the smaller ones.
Furthermore, since the fit line is nearly horizontal at 1, the
conversion factor X adopted here appears to be adequate since
it yields masses which are compatible, in a statistical sense, with
the virial masses derived under the assumptions described above.
![[FIGURE]](img78.gif) |
Fig. 4. a Size distribution and b line width distribution of the 177 outer Galaxy clouds for which physical properties have been derived. Our sample shows that these clouds are smaller than 50 pc with spectral lines narrower than (FWHM)
|
The cloud size, line width and mass distribution of the clouds in
our sample are shown in Figs. 4a, 4b and 5, respectively. When
comparing the distribution of our clouds with those in the inner
Galaxy (e.g. Dame et al. 1986; Solomon et al. 1987), it becomes
evident that the clouds in the outer Galaxy are smaller
( pc), less massive ( ) and
with narrower lines ( km s-1). We
believe this effect to be real, and not due to an insufficient sample,
as argued by Wouterloot & Brand (1995) analyzing their outer
Galaxy clouds, because our ensemble of 177 clouds is large enough to
provide a statistically significant result. Our results also differ
from those of Sodroski (1991) who, using a sample of 32 outer Galaxy
clouds, found no difference between the inner and outer Galaxy clouds.
We believe our results are more reliable because Sodroski (1991) uses
low resolution data ( ) which increases the
apparent cloud's size (because of the blending of clouds produced by
the large synthesized low-resolution beam of the Columbia
telescopes).
![[FIGURE]](img98.gif) |
Fig. 5. Mass distribution of the 177 outer Galaxy clouds for which physical properties have been derived. The distribution shows that these clouds are less massive than and that our sample is incomplete for clouds with
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Fig. 6 represents the derived mass spectrum d
d for our sample of
clouds, where N is the number of clouds of a given mass. In
Fig. 6 we have taken bins of for
to , and
for to
. The solid line corresponds to a
weighted least-squares fit to the data points for
(corr. coeff. -0.95), below which the data are
incomplete (Fig. 5), and is given by the equation
where the weights are based on the number of clouds in each bin.
The slope of this power-law (-1.45) is less steep than that found by
Brand & Wouterloot (1995) (-1.62) for their extended sample of 112
outer Galaxy clouds taken from various authors, but it is closer to
that found by Solomon & Rivolo (1989) (-1.5) for 440 clouds in the
first galactic quadrant. Therefore, this similarity in the mass
spectrum for clouds located inside and outside the solar circle
suggests that the cloud formation mechanism is apparently independent
of the galactocentric distance.
© European Southern Observatory (ESO) 1997
Online publication: April 8, 1998
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