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Astron. Astrophys. 325, 961-971 (1997)
6. The CO-H2 conversion factor
There is agreement that CO is a good tracer for molecular hydrogen,
but the value of the conversion factor (from velocity integrated CO
intensity into molecular hydrogen surface mass density) - and whether
a common factor is appropriate at all - is still rather unclear (cf.
Bloemen 1989, Vila-Costas & Edmunds 1992, Boselli et al. 1995,
Sodroski et al. 1995, Arimoto et al. 1996). The value
from Gordon & Burton (1976) still serves
as a widely used 'standard' value which seems to be appropriate at
least for giant molecular clouds (Magnani & Onello 1995).
6.1. Changing X for the whole sample
We investigate the effect of changing this factor more closely,
because the molecular gas is thought to be more intimately related to
star formation than the atomic one (cf. Sect. 1). Hence, raising
X a better fit might be expected. Fig. 4 shows the path of
the peak of the likelihood mountain in the x -y -plane
when changing the conversion factor from 0 (i.e. the gas responsible
for star formation is only atomic hydrogen) to very large values (i.e.
only molecular hydrogen). An increase by a factor 2 or a decrease by a
factor 3 takes the maximum of the joint likelihood outside the
confidence region for the standard factor. If one considered only
molecular gas , the maximum becomes sharper,
but still is rather close to the standard confidence region. On the
other hand, if only atomic hydrogen were considered, i.e.
, one needs an explicit radial dependence of
the SFR. This is because in most galaxies the radial H I profile
is flatter than that of the CO-surface brightness. This also shows
that star formation seems more closely linked to the molecular gas
than to the atomic gas.
Contrary to the expectation, we find formally a maximum of
between one fourth and one third of the
standard value of the conversion factor, although this is not a very
pronounced one. is increased by about a factor
of 4 which is not significant in view of the scatter seen in
Table 3.
The Milky Way galaxy and NGC 5457 (M 101) are somewhat
different from the other galaxies, as they are the only ones where the
H I, CO, and H brightnesses are given for
the same radial rings. Furthermore, obtaining the radially dependent
data for the Galaxy requires additional assumptions than the more
directly available data from external galaxies. Finally, NGC 5457
has a confidence ellipse very much smaller than that of any other
object. The dramatically larger probability density makes this galaxy
dominate in any kind of joint probability. But even if one excludes
both objects from the sample, the confidence region remains of about
the same size but is shifted somewhat towards the upper left, the
maximum lying at the point marked with a plus-sign. This is still
within the confidence region for the sample as a whole. There is a
very strong overlap, thus the results are not critically dependent on
the inclusion of NGC 5457 and its narrow peak.
6.2. NGC 5457
This galaxy has by far the smallest confidence ellipse in the
x -y parameter space (cf. Fig. 2). This is partly
due to the fact that data is given at 20 radial points, and partly
because all the profiles look rather smooth. Thus, this galaxy is
particularly well suited to study the influence of the conversion
factor. Fig. 5 shows how the peak of the joint likelihood moves
across the x -y -plane as X is changed. It is
worth emphasizing that, just like for the joint likelihoods of the
entire sample, changing between 0.5 and 10 one
still remains within the 90 per cent confidence region. With the
metallicity-dependent conversion factor the maximum is just outside
the region, at and ,
i.e. with almost no radial dependence. is
largest for , about a factor 3 larger than for
the standard value . This means that the best
fit is achieved for relating the SFR with the molecular gas rather
than the atomic gas.
![[FIGURE]](img123.gif) |
Fig. 5. Positions of the most likely parameters of the law in NGC 5457, as the CO-H2 conversion factor X is changed. The numbers denote , its ratio relative to the standard value; the kinks depict the ratios 0.03, 0.2, 0.3, 0.5, 2, and 5. The ellipse is the 90 per cent confidence ellipse as in Fig. 2. The triangle shows the position obtained by using the conversion recipe of Arimoto et al. (1996)
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Instead of considering a variation of X one can introduce a
weight factor w which describes the relative importance of the
two gas species for the star formation process. Hence, the total gas
density is substituted by the weighted mean:
![[EQUATION]](img125.gif)
Performing the integration over w (with a constant prior)
results in the likelihood distribution shown in Fig. 6. The peak
is situated at and ,
but a linear Schmidt law with no dependence on radius is still within
the 90 per cent confidence contour. The linear Schmidt law is
found to have the highest probability, though it is slightly outside
the 90 per cent r egion for the parameter of the non-linear one:
. This illustrates nicely Occam's razor: the
parameter space for the non-linear Schmidt law is just too large.
![[FIGURE]](img129.gif) |
Fig. 6. The confidence contours for 90, 50, and 25 per cent for the law in NGC 5457, with the CO-H2 conversion factor X being a nuisance parameter
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6.3. A metallicity dependent conversion factor
From CO-observations of individual molecular clouds, Arimoto et al.
(1996) derive a conversion factor that depends on the local oxygen
abundance of the gas. Such a dependency would allow to take into
account the claimed underestimate of the relative amount of molecular
gas at the outskirts of the Milky Way galaxy (Lequeux et al. 1993,
Sodroski et al. 1995) as well as in low-luminosity galaxies (Boselli
et al. 1995). For 7 galaxies of our sample, including the Milky Way
galaxy, radial abundance gradients are known. Taking the corresponding
abundance data from Vila-Costas & Edmunds (1992), we re-analyze
the objects of this subsample. The results are collected in
Tables 5 and 6. Only for the Milky Way galaxy, the value of
is significantly (factor 10) increased over
that derived with the standard conversion factor. Likewise,
Fig. 4 shows that the confidence region for the joint likelihood
strongly overlaps with the one from the standard assumption. Thus, it
seems that in general there is no urgent necessity to apply a more
sophisticated conversion recipe: Table 6 does not significantly
deviate from Table 4.
![[TABLE]](img132.gif)
Table 5. Same as Table 1, but using the metallicity-dependent CO-H2 prescription of Arimoto et al. (1996). The last column shows the relative increase in as compared with the standard case
![[TABLE]](img131.gif)
Table 6. As Table 4, but using the metallicity-dependent CO-conversion recipe
© European Southern Observatory (ESO) 1997
Online publication: April 28, 1998
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