Issue |
A&A
Volume 517, July 2010
|
|
---|---|---|
Article Number | A77 | |
Number of page(s) | 18 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/200913593 | |
Published online | 11 August 2010 |
Relating dust, gas, and the rate of star formation in M 31
F. S. Tabatabaei - E. M. Berkhuijsen
Max-Planck Institut für Radioastronomie, Auf dem Hügel 69, 53121 Bonn, Germany
Received 3 November 2009 / Accepted 26 April 2010
Abstract
Aims. We investigate the relationships between dust
and gas, and study Methods. We have derived
distributions of dust temperature and dust opacity across M 31
at 45
resolution using the Spitzer data. With the opacity map and a standard
dust model we de-reddened the H
emission yielding the first H
map of M 31
corrected for extinction. We compared the emissions from dust, H
,
HI, and H2 by means of radial distributions,
pixel-to-pixel correlations, and wavelet cross-correlations. We
calculated the star formation rate and star formation efficiency from
the de-reddened H
emission.
Results. The dust temperature steeply decreases from
30 K near the center to 15 K at large radii. The mean
dust optical depth at the H
wavelength along the line of sight is about 0.7. The radial
decrease in the dust-to-gas ratio is similar to that of the oxygen
abundance. Extinction is nearly linearly correlated with the total gas
surface density within limited radial intervals. On scales
<2 kpc, cold dust emission is best correlated with that
of neutral gas, and warm dust emission with that of ionized gas. The H
emission is slightly better correlated with emission at 70
m than at
24
m.
The star formation rate in M 31 is low. In the area
6 kpc < R < 17 kpc,
the total SFR is
0.3
.
A linear relationship exists between surface densities of SFR and H2.
The Kennicutt-Schmidt law between SFR and total gas has a power-law
index of 1.30
0.05
in the radial range of R=7-11 kpc
increasing by about 0.3 for R =
11-13 kpc.
Conclusions. The better 70 m-H
than 24
m-H
correlation plus an excess in the 24
m/70
m intensity ratio indicates that other sources
than dust grains, e.g. those of stellar origin, contribute to the
24
m
emission. The lack of H2 in the central region
could be related to the lack of HI and the low opacity/high temperature
of the dust. Since neither SFR nor SFE is well correlated with the
surface density of H2 or total gas, other
factors than gas density must play an important role in the formation
of massive stars in M 31. The molecular depletion time scale
of 1.1 Gyr indicates that M 31 is about three times
less efficient in forming young massive stars than M 33.
Key words: galaxies: individual: M 31 - galaxies: ISM - dust, extinction - ISM: general - stars: formation
1 Introduction
Dust, neutral gas, and ionized gas are the major components of the interstellar medium (ISM) in galaxies. Observations of their properties and inter-relationships can give strong clues to the physics governing star formation. Relationships between components in the ISM are to be expected. Observations have shown that in the Galaxy dust and neutral gas are well mixed. In dense clouds of molecular gas mixed with cold dust most of the stars are formed. They subsequently heat the dust and gas in their surroundings and ionize the atomic gas. As the major coolants of the ISM are continuum emission and line emission at various frequencies, a close comparison of these emissions could shed light on spatial and physical connections between the emitting components. Present-day IR and radio telescopes have produced sensitive high-resolution maps of several nearby galaxies, which are ideal laboratories for studying the interplay between the ISM and star formation (e.g. Bigiel et al. 2008; Kennicutt et al. 2007; Verley et al. 2009).The spiral galaxy nearest to us, the Andromeda Nebula
(NGC 224), is a highly inclined Sb galaxy of low surface
brightness.
Table 1
lists the positional data on M 31. Its proximity
and large extent on the sky (>
)
enable detailed studies
of the ISM over a wide radial range.
Surveys of M 31 at high angular resolution (<
)
are available at
many wavelengths. In the HI line the galaxy was mapped by Brinks & Shane (1984) at
resolution, the northeastern half by
Braun (1990) at 10
resolution, and most recently,
the entire galaxy with high sensitivity by Braun
et al. (2009) at a resolution of 15
.
Nieten et al. (2006)
made a survey in the 12CO(1-0) line at
a resolution of 23
.
Devereux et al.
(1994) observed M 31 in the H
line to obtain the
distribution of the ionized gas. The dust emission from M 31
has recently been observed by the multiband imaging photometer Spitzer
(MIPS, Rieke et al. 2004)
with high sensitivity at 24
m, 70
m, and 160
m at resolutions
.
Table 1: Positional data adopted for M 31.
Table 2: M 31 data used in this study.
The relationships between gas and dust, as well as between gas
and star formation, in M 31 have been studied in the past at
resolutions of several arcminutes. Walterbos
& Schwering (1987) derived a nearly
constant dust temperature across M 31 using the IRAS
100 m
and
60
m
maps. They also found a strong increase in the atomic gas-to-dust
surface density ratio with increasing radius. This increase was
confirmed by Walterbos &
Kennicutt (1988) who used optical extinction as dust
tracer, and by Nieten et al.
(2006) using the ISO map at 175
m (Haas et al. 1998).
Interestingly, the latter authors did not find a radial increase in the
molecular gas-to-dust ratio.
The dependence of star formation on HI surface density in
M 31 has been studied by a number of authors (Berkhuijsen
1977; Emerson
1974; Tenjes
& Haud 1991; Nakai & Sofue 1984; Unwin 1980;
Nakai
& Sofue 1982) using the number density of HII regions
or of OB stars as star formation tracers. They obtained
power-law indices between 0.5 and 2, possibly
depending on the region in M 31, the star formation tracer and
the angular resolution. Braun
et al. (2009) plotted the star formation density
derived from the brightnesses at 8m, 24
m,
and UV against the surface densities of molecular gas, HI, and total
gas, but did not fit power laws to their data.
The high-resolution data available for M 31 show the
morphologies of the emission from dust and gas components in detail. We
apply a 2-D wavelet analysis technique (Frick
et al. 2001) to the MIPS IR data (Gordon et al. 2006) and
the gas (HI, H2, and H)
maps to study the scale distribution of emission power and to separate
the diffuse emission components from compact sources. We then compare
the wavelet-decomposed maps at various spatial scales. We also use
pixel-to-pixel (Pearson) correlations to derive quantitative relations
not only between different ISM components but also between them and the
present-day star formation rate.
Following Walterbos
& Schwering (1987) and Haas
et al. (1998), we derive the dust temperature
assuming a
emissivity law for the MIPS bands at which the emission from the big
grains and hence the LTE condition is relevant, and present a map of
the dust color temperature. We also obtain the distribution of the
optical depth and analyze the gas-to-dust surface-density ratio at a
resolution
of 45
(170 pc
660 pc
along the major and minor axis,
respectively, in the galaxy plane), 9 times higher than before
(Walterbos & Schwering 1987).
We use the optical depth map to de-redden the H
emission observed by Devereux
et al. (1994) yielding the distribution of the
absorption-free emission from the ionized gas, and use this as an
indicator of massive star formation. We compare it with the
distributions of neutral gas to obtain the dependence of the star
formation rate on gas surface density.
![]() |
Figure 1:
Dust temperature in M 31 obtained from the ratio |
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The paper is organized as follows: The relevant data sets are described
in Sect. 2. In Sect. 3 we derive maps of the dust
color temperature and optical depth, and correct the H emission
for absorption by dust. Radial profiles of the dust and gas emission
and of the various gas-to-dust ratios are obtained in Sect. 4.
Section 5 is devoted to
wavelet decompositions and wavelet spectra of the dust and gas
distributions, and their cross correlations. Complementary, we discuss
in Sect. 6 classical correlations between gas and dust. In
Sect. 7 the dependence of the star formation rate on the gas
surface density is presented. Finally, in Sect. 8 we summarize
our results.
2 Data
Table 2 summarizes the data used in this work. M 31 was mapped in IR (at 24



M 31 was observed in the 12CO(1-0) line
with the IRAM telescope
by Nieten et al. (2006)
at a resolution of 23
.
They derived the distribution of the molecular gas using a constant
conversion factor of X
mol. K-1 km-1 s.
The galaxy was observed in the 21-cm HI
line with the Westerbork interferometer by Brinks
& Shane (1984)
at a resolution of 24
.
The HI survey has been corrected
for missing spacings. The H
observations
of Devereux et al.
(1994) were carried out on the Case Western Burell-Schmidt
telescope
at the Kitt Peak National Observatory, providing a 2
field
of view.
Although the resolution of 40
of the 160
m
image is the lowest
of the data listed in Table 2,
we smoothed all maps to a Gaussian
beam with a half-power width of 45
for a comparison with radio continuum data at 20 cm (Hoernes et al. 1998)
in a forthcoming study (Tabatabaei et al. in prep.). As the
point spread function (PSF) of the MIPS data is not Gaussian, we
convolved the MIPS images using custom kernels created with Fast
Fourier transforms to account for the detailed structure of the PSFs.
Details of the kernel creation can be found in Gordon
et al. (2007).
After convolution, the maps were transformed to the same grid
of 15
width with the reference coordinates and position angle of the major
axis given in Table 1.
Finally, they were cut to a common extent of 110
,
for which most data sets are complete.
The field is not centred on the nucleus of M 31, but extends
to 56
25
along the northern major axis (corresponding to a radius of R = 12.8 kpc)
and to 53
75 along the southern major
axis (R = 12.2 kpc). The H2 map
of Nieten et al. (2006) extends to 48
5 along the southern major axis
(R = 11.0 kpc).
With an extent of 19
25 along the minor axis in both
directions, the field
covers radii of R <16.9 kpc in the
plane of M 31. Hence, radial profiles derived by averageing
the data in circular rings in the plane of the galaxy (equivalent to
elliptical rings in the plane of the sky) are incomplete at R>
12 kpc because
of missing data near the major axis.
3 Dust temperature and opacity
Walterbos & Schwering (1987) extensively studied the distributions of the dust temperature and opacity in M 31 using the IRAS data at 60







3.1 Dust temperature
We derived the color temperature of the dust,










Figure 2b
shows the dust temperature averaged in rings of 0.2 kpc width
in the plane of M 31 against radius R.
On both sides of the center the dust temperature falls very fast from
about 30 K near the nucleus to 19 K at
kpc.
To the outer parts of the galaxy, it then stays within a narrow range
of about 17 K-19 K in the north and
16 K-19 K in the south. This indicates different
radiation characteristics between the inner 4 kpc and beyond.
In the ring of bright emission, the so called ``10 kpc ring'',
the temperature is clearly enhanced, especially in the northern half.
Thus, in contrast to the finding of Walterbos
& Schwering (1987),
is not constant in the range R = 2-15 kpc
but varies between 22.5
0.5 K and 17.2
0.7 K.
It is interesting that the mean dust temperature obtained
between 70 m
and 160
m
is about 3 K lower in M 31 than in M 33 (Tabatabaei et al. 2007b).
The emission from cold dust in M 31 is stronger than in
M 33, which can also be inferred from the total emission
spectra based
on IRAS and ISO observations (see Hippelein et al. 2003; Haas et al.
1998).
![]() |
Figure 2: a) Histogram of the dust temperature shown in Fig. 1. b) Distribution of the dust temperature in rings of 0.2 kpc in the galactic plane in the northern and southern halves of M 31. |
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![]() |
Figure 3:
Distribution of the dust optical depth at H |
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3.2 Dust opacity distribution
The total dust optical depth along the line of sight
was obtained from the dust intensity at 160
m and the
derived temperature. Following Tabatabaei
et al. (2007b),
was converted into the dust optical depth at the wavelength of the H
line,
,
by
multiplying it by the ratio of the dust extinction coefficient per unit
mass at the corresponding wavelengths,
(see e.g. Fig. 12.8 of Krügel
2003). Figure 3
shows the distribution of
across the disk of M 31 at an angular resolution
of 45
.
Regions with considerable dust opacity (
)
follow the spiral arms, even the inner arms which are either weak or
not detected in H
emission. The high opacity clumps (
),
however, only occur in the arms at
5 kpc and in the
``10 kpc ring''. On average, the optical depth is largest in
the ``10 kpc ring''. Hence, in this ring, dust has the highest
density like the atomic gas (Brinks
& Shane 1984). Figure 4a shows
the histogram of
,
indicating a most probable value of 0.5 and a mean value of
0.7
0.4
across the galaxy. This
agrees with the value of
= 0.5
0.4
that follows from the mean
total extinction obtained by Barmby et al. (2000) towards
314 globular clusters.
The variation of the mean dust optical depth
with galactocentric radius is shown in Fig. 4b. In the
north,
peaks not only in the ``10 kpc ring'' (with two maxima at R = 9.9
and 10.9 kpc) but also near 5 kpc (with two maxima at
R = 4.3 and 5.9 kpc).
Beyond 11 kpc
drops with an exponential scale length of 2.48
0.07 kpc
in the north and 5.06
0.22 kpc in the south
(Sect. 4, Eq. (1)).
In Fig. 5
we compare the radial variation of
for the
total area with earlier determinations. The various estimates agree
well given the large uncertainties. Xu
& Helou (1996) derived
from high-resolution IRAS data
using a dust heating/cooling model and a sandwich configuration of dust
and stars.
Although they left out the discrete sources, their values may be too
high because
they did not include inter-arm regions in their study. Montalto et al. (2009)
calculated the extinction
from the total infrared TIR-to-FUV intensity ratio
and a sandwich model for stars and dust. They note that at R < 8 kpc
the geometry
of M 31 may differ from the sandwich model due to the stars in
the bulge, making the inner points less reliable. This would also
affect the results of Xu & Helou
(1996) at R <8 kpc. The
TIR-to-FUV ratio is applicable if the dust is mainly heated
by young stars, but in M 31 about 70% of the cold
dust is heated by the ISRF
(Xu & Helou 1996).
Therefore,
is overestimated, as was also found for M 33
(Verley et al. 2009).
The curve of Tempel et al.
(2010) closely agrees with our
data. They derived
from MIPS data and a star-dust model. Their smooth curve
underestimates
in the brightest regions by about 0.1 and may overestimate
in regions of low brightness.
![]() |
Figure 4:
a) Histogram of the dust optical depth shown
in Fig. 3,
b) radial distribution of the mean optical
depth at the H |
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The opacity map in Fig. 3 can be used to correct the H emission
for the extinction by dust. In general, extinction depends on the
relative distribution of emitting regions and dust along the line of
sight and changes with the geometry (e.g. well mixed diffuse medium
or shell-like in HII regions Witt
& Gordon 2000). In this study, individual HII regions
are rarely resolved and the geometry is close to a mixed diffuse
medium. Furthermore, there is no information about the relative
position of emittors and absorbers along the line of sight.
For the Milky Way, Dickinson
et al. (2003) found indications of a non-uniform
mixing by comparing the z-distribution of atomic gas and dust. They
adopted one third of the total dust optical depth as the effective
extinction as a first-order approach. This is also in agreement with Krügel (2009) taking scattering
into account. Moreover, Magnier
et al. (1997) found that on average the extinction
comes from dust associated with only one-third of average N(HI)
in their study of OB associations along the eastern spiral arm regions
of M 31. Therefore, we use an effective optical depth
in this paper. The attenuation factor for the H
intensity then is e
and we derive the intrinsic H
intensity I0 from the
observed H
intensity
.
Integration of the H
map
out to a radius of 16 kpc yields a ratio of
corrected-to-observed total H
flux density of 1.29, thus about 30% of the total H
emission is obscured by dust within M 31. The corrected H
map
is shown in Fig. 10a.
![]() |
Figure 5:
Radial variation of the (total) mean optical depth
in H |
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Near the center (R < 1 kpc),
varies between 0.03 and 0.13, corresponding to an extinction
of
-0.14 mag.
At larger radii, the mean extinction increases, particularly in dense
clouds and starforming regions, reaching a maximum of
1.2 mag
at the densest dust cloud in the south-east of the ``10 kpc
ring'' (RA = 00
41
05.10
and Dec = +40
38
17.73
).
The range of extinction values agrees with that derived from the
optical study of dust lanes by Walterbos
& Kennicutt (1988) and the photometric study of Williams (2003).
4 Radial distributions of dust and gas emission
4.1 Radial profiles
In this section, we present the mean surface brightness along
the line of sight
of dust and gas components as a function of galactocentric
radius R. The surface
brightnesses are averaged in 200 pc-wide circular rings about
the nucleus in the plane
of M 31. This is equivalent to averaging in elliptical rings
of 53
width in the plane of the sky.
For simplicity we used a constant inclination angle of 75
at all radii, appropriate for the emission at
(6.8 kpc), although in H
and HI
the inner regions are seen more face-on (Chemin et al. 2009; Ciardullo
et al. 1988; Braun 1991). However, using
for
instead of
(the area-weighted mean of the inclinations for the interval R=1.9-6.8 kpc
given by Chemin et al. 2009)
does not change our results. The smaller inclination shifts the radial
positions of the inner arms about 0.5 kpc inwards but the
general
shape of the profiles remains the same, and as all profiles change in a
similar
way their inter-comparison is not affected. Furthermore, the results of
the classical correlations for
presented in Sect. 6 are the same within the errors for
and
.
Figure 6
shows the mean IR intensities and the gas surface densities versus the
galactocentric radius R for the northern
and southern halves
of M 31. The radial profiles of the IR emission at 24 m and
70
m
are similar. The 160
m emission, representing the colder dust
emission, however, shows a generally flatter radial distribution than
the 24
m
and 70
m
emission. In particular, the fast decrease in the 24
m and
70
m
profiles from the center to
kpc does not occur
at 160
m.
This is in agreement with Haas
et al. (1998) who concluded from their ISO
175
m
map and IRAS data that the dust near the center is relatively warm. The
fast central decrease in warmer dust emission may be attributed to a
decrease in the UV radiation field outside the nucleus, as a similar
trend is seen in the GALEX UV profiles presented by Thilker et al. (2005).
At all three IR wavelengths the arms are visible, even the weak inner
arms. The bright arms forming the ``10 kpc ring'', are
pronounced in the north and followed by an exponential decrease toward
larger radii.
![]() |
Figure 6:
Top: radial profiles of the Spitzer IR
emission from the northern ( left) and the southern (
right) halves of M 31. Bottom:
radial profiles of the surface densities of the atomic, molecular and
total neutral gas together with that of the ionized gas (de-reddened H |
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Although the general trend of the warm dust surface brightness
(at 24 m
and 70
m)
resembles more that of H
than those of
the neutral gas profiles (Fig. 6, lower
panels), small variations
(e.g. in the inner 5 kpc and for R = 11-12 kpc
in the south)
follow those in the total gas distribution due to variations in the
molecular gas. Beyond about 5 kpc, the radial profile of the
cold dust (160
m)
is similar to that
of the molecular gas, but with smoother variations. The minimum between
5 kpc and
10 kpc radius at 24
m and 70
m is less deep at 160
m and is
missing
in the HI profile.
We obtained radial scale lengths between the maximum in the
``10 kpc ring'' and R=14.9 kpc
for the northern ()
and southern (
)
halves
of M 31 separately as well as for the total area (l).
We fit an
exponential function of the form
![]() |
(1) |
where I0 is the intensity at R = 10.9 kpc for the total area and in the north, and R = 8.9 kpc in the south. The resulting scale lengths are listed in Table 3.
In each half of M 31, the scale lengths of the warm dust emission are smaller than that of the cold dust. This confirms that the warm dust is mainly heated by the UV photons from the starforming regions in the ``10 kpc ring'' and the cold dust mainly by the interstellar radiation field (ISRF) from old stars (Xu & Helou 1996).
Table 3: Exponential scale lengths of dust and gas emissions from M 31.
The scale lengths of the 24















The higher resolution and sensitivity of the MIPS IR intensity ratios
(Fig. 7),
however, provide more information. Although at R > 3 kpc
the variations in the IR intensity ratios are not large, their radial
behavior is not the same. For instance, the 24-to-70 m intensity
ratio peaks between 5 kpc and 10 kpc radius, whereas
the 70-to-160
m
intensity ratio peaks in the ``10 kpc ring''. The latter can
be explained by the higher temperature of the dust heated by OB
associations in the ``10 kpc ring''. The fact that the
24-to-70
m
intensity ratio is not enhanced in the ``10 kpc ring'' (and in
the central region) shows the invalidity of this ratio for temperature
determination due to the important contribution from the very small
grains. On the other hand, the enhancement of the 24-to-70
m in regions
where there is no strong radiation field (between the arms) reveals
possibly different origins of the 24
m and 70
m emission.
The stellar origin, e.g. photosphere of cool stars or dust shell of the
evolved stars, may provide the enhancement of the 24-to-70
m intensity
ratio in the inter-arm region. In M 33, Verley et al. (2009)
attributed a similar enhancement of the diffuse 24
m emission
to dusty circumstellar shells of unresolved, evolved AGB stars. For
M 31, this needs to be quantified through a more detailed
study and modeling of the spectral energy distribution, which is beyond
the scope of this paper.
![]() |
Figure 7: Ratio of the MIPS IR intensities against galactocentric radius in M 31. |
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![]() |
Figure 8:
Radial profiles of the gas-to-dust ratios in M 31, the
northern half and the southern half. Top: N(HI)/
|
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4.2 Gas-to-dust ratio
The gas-to-dust mass ratio and its variation across the galaxy can provide information about the metallicity distribution (e.g. Viallefond et al. 1982) and hence about the evolutionary history of the galaxy. The relative amount of dust and gas is expected to be correlated with the abundance of the heavy elements (Draine et al. 2007).A number of authors has studied the gas-to-dust ratio in
M 31 by comparing HI column densities and optical or
UV extinction (Walterbos & Kennicutt 1988;
Xu &
Helou 1996; Savcheva
& Tassev 2002; Bajaja & Gergely 1977; Nedialkov
et al. 2000). All authors found an increase in the
atomic gas-to-dust ratio with radius. Walterbos
& Schwering (1987) derived the
HI gas-to-dust ratio using dust optical depth from IRAS
60 m
and 100
m
data. They found a
radial gradient that is 4-5 times larger than the abundance
gradient
of Blair et al. (1982).
After adding the molecular and atomic gas
column densities, Nieten
et al. (2006) obtained a strong radial
increase in the total gas-to-175
m intensity resulting from the
increase in the atomic gas-to-175
m intensity. As the dust optical depth is a
better measure for the dust column density than the
temperature-dependent dust emission, we re-investigated the gas-to-dust
ratio in M 31 taking advantage of the high resolution of the
Spitzer MIPS data.
We calculated the radial profiles of the three gas-to-dust
ratios from the mean column densities of N(HI), N(2H2),
N(HI + 2H2)
and
in circular rings of 0.2 kpc width in the plane of the galaxy.
Figure 8
(upper panel) shows that the atomic gas-to-dust ratio increases
exponentially with radius by more than a factor of 10 from about
at cm-2 at the center to about
at cm-2 at R = 15 kpc.
The increase is surprisingly smooth and, at least up to R = 13 kpc,
nearly the same for the northern and southern half, indicating little
variation between arm and inter-arm regions and within the arms. In
contrast, the molecular gas-to-dust ratio (Fig. 8, middle
panel) does not increase systematically with radius but shows clear
enhancements of a factor
2-3 in the spiral arms and the ``10 kpc ring''. The minima in
the inter-arm regions are due to a stronger decrease in N(2H2)
than in
.
Figure 3
shows that along the arms N(2H2)/
also
varies significantly because maxima in H2 emission
and
are often not coincident. The variations in N(2H2)/
are
visible in the profile of the total gas-to-dust ratio (Fig. 8, bottom
panel) as weak enhancements at the positions of the arms near R = 6 kpc
and R = 8-12 kpc.
As the atomic gas is the dominant gas phase in M 31, dust
mixed with HI gas largely
determines the optical depth. Inspection of the distribution of the
total gas-to-dust ratio across M 31 (not shown) reveals
small-scale
variations along the arms of typically a factor of 2.
Table 4: Exponential scale lengths L and radial gradients of dust-to-gas ratios and the abundance [O/H].
We conclude that the radial increase in the total gas-to-dust ratio of more than a factor 10 between the center and R=15 kpc is entirely due to that of the atomic gas-to-dust ratio, whereas the molecular gas-to-dust ratio is only increased in the arms. This confirms the conclusion of Nieten et al. (2006) based on the same gas data and the 175
At which radius in M 31 would the gas-to-dust ratio
observed in the solar
neighborhood occur? Bohlin
et al. (1978) and Diplas
& Savage (1994)
derived N(HI)/
at cm-2 mag-1
and
at cm-2 mag-1,
respectively, using the extinction towards large samples of stars to
determine the color excess E(B-V).
Since E(B-V) =
/
,
where the visual extinction
= 1.234
mag (e.g. Krügel 2003) and the
total/selective extinction
= 2.8
0.3
in M 31 (Walterbos
& Kennicutt 1988), we have E(B-V) =
0.44
mag-1.
Hence, a value of N(HI)/
at cm-2 mag-1
corresponds to N(HI)/
=
at cm-2,
which occurs in M 31 near R=8.5 kpc
(Fig. 8,
top panel), just in the bright emission ring. The total gas-to-dust
ratio near the sun of
at cm-2 mag-1
(Bohlin et al. 1978)
corresponding to N(gas)/
at cm-2
occurs at nearly the same radius (Fig. 8, bottom
panel). Thus the gas-to-dust ratio near the sun is similar to that in
the ``10 kpc ring'' in M 31, in agreement with
earlier studies (van
Genderen 1973; Walterbos & Schwering 1987).
In contrast to Fig. 8, we
present in Fig. 9
the radial profiles of the dust-to-gas ratios, here for the total area
in M 31. The two lower curves closely follow exponentials with
scale lengths of 6.1 0.2 kpc
and 7.4
0.2 kpc
for
/N(HI)
and
/N(gas),
respectively, between R = 5 kpc
and R = 15 kpc (see
Table 4).
For nearly the same radial range (R = 3-15 kpc),
Walterbos & Schwering
(1987) derived a scale length
of
/N(HI)
4 kpc
from data near the major axis. Walterbos
& Kennicutt (1988) obtained a scale length of
/N(HI)
9 kpc
for the inner and outer dust lanes, and the
/N(HI)
ratio of Xu & Helou (1996)
for diffuse spiral arm regions also indicates a scale length of about
4 kpc (all scale lengths were scaled to D = 780 kpc).
Since our scale lengths are not restricted to specific areas, our
results are more representative for the mean dust-to-gas ratios in the
disk of M 31.
As dust consists of heavy elements and both dust and heavy
elements are found
in star formation regions, the radial variations in the dust-to-gas
ratio and the
metal abundance are expected to be similar (e.g. (Hirashita
et al. 2002; Hirashita 1999). This has
indeed been observed in several nearby galaxies (Issa
et al. 1990). In M 31 the variation in the
metallicity with radius is not well established. Measurements of the
element abundance strongly depend on the empirical method and
calibration applied (Trundle
et al. 2002). Pagel
et al. (1979) showed that the
([OII] + [OIII])/H
ratio (the so called ``R23'') is a good probe of
oxygen abundance and radial trends of this ratio have been studied in
many nearby galaxies (e.g. Evans
1986; Pagel
& Edmunds 1981; Henry & Howard 1995; Garnett
et al. 1997). Blair
et al. (1982) and Dennefeld
& Kunth (1981) derived R23 for
HII regions in M 31. We combined their results and derived a
scale length of log [O/H] of 9.7
2.6 kpc
corresponding to a gradient of 0.045
dex/kpc
(Table 4).
Comparing four different calibrations, Trundle
et al. (2002) derived gradients of
0.027-0.013 dex/kpc using the 11 HII regions
of Blair et al. (1982),
with Pagel's calibration giving 0.017
0.001 dex/kpc. Since our value
of the [O/H] gradient is based on 19 HII regions, we expect it to be
more reliable than that of Trundle
et al. (2002).
Table 4
shows that the radial gradient in /N(gas)
best matches the metallicity gradient. In view of the large
uncertainties, the gradients in the dust-to-gas
surface-density ratio and the oxygen abundance in M 31 may
indeed be comparable. A much larger
sample of abundance measurements of HII regions is needed to verify
this similarity. Our
result agrees with the approximately linear trend between gradients in
dust-to-gas ratios
and [O/H] in nearby galaxies noted by Issa
et al. (1990).
![]() |
Figure 9:
Dust-to-gas ratios as function of galactocentric radius for
M 31, calculated from the radial profiles of |
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5 Wavelet analysis of dust and gas emission
To investigate the physical properties of different phases of the
interstellar medium as a function of the size of emitting regions,
wavelet transformation is an ideal tool. We use the Pet Hat
wavelet (see Frick
et al. 2001; Tabatabaei et al. 2007a)
to decompose the emissions of IR, HI, H2, HI + 2H2,
and de-reddened H
into 10 spatial scales starting at 0.4 kpc (about
twice the resolution). The central 2 kpc was subtracted from
all images before the wavelet transformation to prevent a strong
influence of the nucleus on the results. As an example, we show the
extinction-corrected H
map
and the H
emission
for 3 different scales in Fig. 10. On the scale
of 0.4 kpc, the distribution of HII complexes and large
HII regions is borne out. The scale of 1.6 kpc (the
typical width of spiral arms) shows connected HII complexes
along the arms, and on the scale of 4 kpc we see the extended
emission from the ``10 kpc ring''.
5.1 Wavelet spectra
The wavelet spectrum, M(a), represents the distribution of the emitting power as function of the scale a. The wavelet spectrum will smoothly increase towards larger scales if most of the emission is coming from diffuse structures forming the largest scales, here up to 25 kpc. On the other hand, the spectrum will decrease with increasing scale if compact structures are the dominant source of emission. The spectra of the IR and gas emission are shown in Fig. 11.
All IR and gas spectra are intermediate between the two cases
described above. Only the spectra of the HI gas and the 160 m
emission generally increase with scale indicating the importance
of diffuse HI and cold dust emission. In addition, the HI spectrum
exhibits a dominant scale at
kpc
corresponding to the width of the ``10 kpc ring'', where
strong diffuse emission occurs in interarm regions. The large width of
the HI ``ring'' is also visible in the
radial profiles in Fig. 6.
The dominant scale of the emission from
warm dust, molecular gas and H
is near 1 kpc, where
complexes of giant molecular clouds and starforming regions show up.
The IR spectra at 24
m and 70
m on scales a<
6 kpc look most similar indicating that the starforming
regions are the main heating sources at both wavelengths. On the other
hand, the effect of the ISRF heating the cold dust is well indicated in
the 160
m
spectrum where a general increase towards larger scales is found. All
spectra, apart from that of HI, show a minimum near a = 6 kpc
corresponding to the large, weak interarm region inside the
``10 kpc ring''. The spectrum of H
is most similar to that of 70
m, which may explain why the H
emission
correlates better with 70
m emission than with that at 24
m (see
Sect. 6.2 and Table 6).
The spectrum of the H
emission is flat on small scales up to 1.6 kpc, the width of
the spiral arms in the H
map.
This is understandable as the emission from very compact
HII regions is unresolved at our resolution and not many large
HII complexes exist especially in the south (see the decomposed map in
Fig. 10b
of a = 0.4 kpc).
5.2 Wavelet cross-correlations
We derive the cross-correlation coefficients, rw(a),
for different scales following Tabatabaei
et al. (2007a). The correlation coefficients are
plotted in terms of scale in Fig. 12. They show
that IR emission correlates with the emission from different gas phases
on most scales. In all cases, emission from structures on scales larger
than 10 kpc are best correlated. This corresponds to scales of
the diameter of the ``10 kpc ring'' and the over-all structure
of the galaxy. On medium scales, the weakest correlation occurs between
HI and dust emission
on a= 6 kpc. This scale includes
areas of significant diffuse HI emission where the dust
emission is weak interior to the ``10 kpc ring'' (compare also
Fig. 11).
On the smallest scale of 0.4 kpc, the cold dust emission is
best correlated with that of the total neutral gas, while the warm dust
emission at 70 m
is best correlated with the ionized gas emission.
Note that on this scale, the 24
m and 70
m (warm dust) emissions hardly correlate with HI
(
rw(a)<0.5)
because only a small fraction of the HI emission occurs on this scale
(see Fig. 11).
Furthermore, the coefficients of the 70
m-H
correlation are higher than those of the 70
m-neutral
gas correlation on scales a < 6.3 kpc.
![]() |
Figure 10:
Distribution of the de-reddened H |
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![]() |
Figure 11: Wavelet spectra of MIPS IR ( left) and gas ( right) emission in M 31, shown in arbitrary units. The data points correspond to the scales 0.4, 0.6, 1.0, 1.6, 2.5, 4.0, 6.3, 10.0, 15.9, 25.1 kpc. |
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![]() |
Figure 12: Wavelet cross correlations of atomic gas ( top-left), molecular gas ( top-right), and total neutral gas ( bottom-left) with IR emission in M 31. The IR correlation with the ionized gas ( bottom-right) is also shown. The data points correspond to the scales 0.4, 0.6, 1.0, 1.6, 2.5, 4.0, 6.3, 10.0, 15.9, and 25.1 kpc. |
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6 Classical correlations between dust and gas
The wavelet cross-correlations for different scales in Fig. 12 show on which
scales the distributions of the various types of emission are
significantly correlated. However, because the scale maps are
normalized and information about absolute intensities is lost, they
cannot be used to find quantitative relations between components of the
ISM. Hence, to obtain numerical equations relating two distributions,
we need classical correlations. Classical cross-correlations contain
all scales that exist in
a distribution. For example, the high-intensity points of the H-70
m
correlation in Fig. 14
represent high-emission peaks on small scales in the spiral arms
(compare
Fig. 10b),
whereas low-intensity points represent weak emission
around and between the arms on larger scales (compare Fig. 10d).
The correlation coefficient of 79% is a mean of all scales,
consistent with Fig. 12.
We made
pixel-to-pixel correlations between the distributions of
and H2, HI, total gas as well as between
de-reddened H
and 24
m,
70
m,
and 160
m.
We restricted the comparisons to radii where all data sets are
complete,
(or 11.4 kpc), and to intensities above 2
rms noise. To reduce the influence of the gradient in the gas-to-dust
ratio (see Sect. 4.2), we calculated correlations for two
radial ranges:
and
.
We obtained sets of independent data points, i.e. a beam area overlap
of <
,
by choosing pixels spaced by more than 1.67
the beamwidth. Since the correlated variables are not directly
depending on each other, we fitted a power law to the bisector in each
case (Isobe et al. 1990).
We also calculated the correlation coefficient, ,
to show how well two components are correlated, and the student-t test
to indicate the statistical significance of the fit. For a number of
independent points of n > 100,
the fit is significant at the 3
level if t>3. Errors in intercept
and slope b of the bisector are standard
deviations (1
).
We first discuss the correlations between the neutral gas and
dust extinction, scaled from .
Then we investigate the relationships between the emissions from dust
and ionized gas. The results are given in Tables 5
and 6,
and examples of correlation plots are shown in Figs. 13 to 15.
![]() |
Figure 13:
Classical cross-correlations between gas column densities and dust
extinction A
|
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6.1 Correlation between neutral gas and dust extinction
In search of a general relationship between neutral gas and dust
extinction, a number of authors employed scatter plots between
gas column densities and extinction, optical depth or FIR surface
brightness (e.g. Savage
et al. 1978; Walterbos & Kennicutt 1988;
Nieten
et al. 2006; Xu & Helou 1996; Boulanger
et al. 1996; Neininger et al. 1998).
They obtained nearly linear relationships between these quantities. As
the studies on M 31 have various shortcomings (lower limits
for extinction, H2 data not included and/or low
angular resolution), we calculated classical correlations between the
distribution of dust extinction
and
those of N(HI), N(2H2)
and N(gas) at our resolution of 45
.
As the correlations are restricted to gas column densities above 2
the rms noise, values of
are not included (see upper panel of Fig. 13). The
bisector fits given in Table 5 are
plotted in the bottom panel of Fig. 13.
The relationships between
and N(2H2) for the two
radial
ranges are the same within errors, so the two areas can be combined.
With a correlation coefficient of
0.6,
the correlation is not
very good, indicating that only a small part of the extinction is
caused by dust in molecular clouds. This is not surprising
in view of the low molecular gas fraction in M 31 (see lower
panels of Fig. 6)
and the small area filling factor of the molecular gas compared to that
of the atomic gas.
Table 5:
Power-law relations and correlation coefficients
between dust extinction and gas components.
The correlations between
and N(HI) are indeed better
(
)
than those between
and N(2H2), but the
relationships for the two radial intervals are not the same. Although
both are nearly linear (power-law exponent
), their
power laws are shifted (see Fig. 13) in the sense
that the values of
in
are about a factor of 2 lower than those inside
.
This difference is caused by the radial decrease in
/N(HI)
discussed in Sect. 4.2. The variation of this ratio within
each of the
radial intervals contributes to the spread in the scatter plots and
reduces the correlation coefficients.
The correlations between total gas N(gas)
and A
are best
(
),
as
represents dust mixed with both HI and H2. They
are close to linear (
)
and differ by nearly
a factor 2 in
.
The scatter plots for the two intervals are shown in the
upper panel of Fig. 13.
In linear plots both power-law fits are going through zero, suggesting
that the dust causing the extinction and neutral gas are mixed down to
very low densities.
Interestingly, extinction (or dust opacity) is proportional to the square root of N(2H2), while it is about linearly related to the atomic gas density. This is due to the quadratic dependence of N(2H2) on N(HI) in M 31 observed by (Nieten et al. 2006). This dependence is expected if in cool, dense, and dusty HI clouds the formation and destruction rates of H2 are balanced (Reach & Boulanger 1998).
6.2 Correlation between ionized gas and dust
Because the emission from ionized gas is a good tracer of the
present-day star formation rate and massive stars both heat the dust
and ionize the gas, a correlation between the emissions from
warm dust and ionized gas is expected. Relationships between the
emission at 24 m
and Pa
or H
emission
from HII regions in nearby galaxies as well as relationships
between global luminosities of galaxies have been reported (see Kennicutt et al. 2009,
and references therein).
For M 31, the correlation between the emission from
dust and ionized gas was first
tested by Hoernes
et al. (1998), who found a good, nearly linear
correlation between warm dust emission and free-free radio emission for
the radial range ,
using HIRAS data and multi-wavelength radio data. Here we correlate the
extinction-corrected H
emission
presented in Fig. 10a
with dust emission in the MIPS maps.
The wavelet correlations in Fig. 12
(bottom-right) show that in M 31 H emission is best
correlated with dust emission at 70
m. This suggests that of the MIPS bands, the
70
m
emission could best be used as the tracer of present-day star
formation, making a numerical relation between the emissions at
70
m
and H
of interest. Table 6
gives the bisector fits for the two radial ranges, which are very
similar. Therefore, we present this correlation in Fig. 14 for the entire
radial range of
.
The power-law fit for this radial interval is
![]() |
where I70 is in MJy/sr and



Naturally, H
emission is less correlated with the emission from cold dust at
160
m
than with emission from warm dust seen at the shorter wavelengths. This
is especially so at
where the radial profiles differ most (see Fig. 6). Moreover,
the relation between the emission from cold dust and H
is non-linear (see the bisector slope b in
Table 6).
Table 6
shows that the correlations with 24 m are slightly
worse than those with 70
m. In contrast, in M 33 the 24
m-H
correlation is better than the 70
m-H
correlation (Tabatabaei
et al. 2007a). This may suggest that in early-type
galaxies like M 31 the contribution from evolved AGB stars to
the 24
m
emission is larger than in late-type galaxies like M 33.
A significant stellar contribution to the 24
m emission
from M 31 is also indicated by the enhancement of the
24
m-to-70
m intensity
ratio in inter-arm regions
where the radiation field is weak (Fig. 7).
Across M 31, the 24 m emission is linearly proportional to the
extinction-corrected
H
emission
(
). A linear relationship was
also found between the
luminosities at 24
m
and extinction-corrected Pa
of HII regions in M 51 (Calzetti
et al. 2005) and between the luminosities at
24
m
and extinction-corrected H
of
HII regions in M 81 (Pérez-González
et al. 2006). Comparing the 24
m
luminosities and corrected H
luminosities of
HII regions in 6 nearby galaxies (including
M 51 and M 81), Relaño
et al. (2007) obtained a somewhat steeper power law
with index
,
in agreement with the index for global luminosities of galaxies (see
also Calzetti et al. 2007).
Thus, while the L24-
relationship
is linear within a single galaxy, the relationships for
HII regions in a sample of galaxies and for global
luminosities are non-linear. According to Kennicutt
et al. (2009), the steepening is due to variations
between galaxies in the contribution from evolved, non-ionizing stars
to the heating of the dust that emits at 24
m.
![]() |
Figure 14:
Scatter plot between the surface brightnesses of ionized gas and dust
emission at 70 |
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Table 6:
Power-law relations and correlation coefficients
between the emission from dust and ionized gas.
7 Star formation rate and efficiency
Over the last 40 years many authors have studied the relationship between the rate of star formation and gas density in M 31 by comparing the number surface density of massive young stars or of HII regions with that of HI (Berkhuijsen 1977; Tenjes & Haud 1991; Nakai & Sofue 1984; Unwin 1980). They found power-law exponents near 2 as was also obtained for the solar neighborhood by Schmidt (1959), who first proposed this relationship with HI volume density. Kennicutt (1998a) showed that a similar relationship is expected between SFR and gas column densities. The early studies suffered from the effects of dust absorption and could not consider molecular gas (apart from Tenjes & Haud 1991). As the necessary data are now available, we again address this issue.
We compared the distribution of the H
emission corrected for dust attenuation (see Fig. 10a) with those of
HI, H2, and total
gas. The corrected H
emission
is a good measure for the
present-day star formation rate (SFR) that we first estimate for the
total area observed using the relation of (Kennicutt
1998b):
![]() |
(2) |
where

















![]() |
Figure 15:
Scatter plots between the surface density of the star formation rate
and neutral gas surface densities for the radial interval |
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A SFR of 0.3 yr-1
yields a mean face-on surface density of
Gyr-1 pc-2
between R =6 kpc and R=17 kpc.
This is about 6 times lower than the value of
= 2.3
Gyr-1 pc-2
that Verley et al. (2009)
obtained for the disk of M 33 (R
<7 kpc), also using de-reddened H
data.
We can also calculate the star formation efficiency between R
=6 kpc and R=17 kpc in
M 31. The total molecular gas mass in the entire area of R<17 kpc
in M 31 is M(H2) = 3.6
(Nieten et al. 2006) and
that in the area
6 kpc < R <17 kpc
is M(H2) = 2.9
.
Hence the star formation efficiency SFE = SFR/M(H2)
between 6 kpc and 17 kpc radius is
SFE = 0.9 Gyr-1. It
is equivalent to a molecular depletion time scale of 1.1 Gyr.
Hence, the disk of M 31 is about three times less
efficient in forming young massive stars than the northern part of the
disk of M 33 (Gardan
et al. 2007).
7.1 Star formation rate in the ``10 kpc ring''
The radial distributions of H





If massive stars are not responsible for the ionization of the
gas and the heating of the dust, we can neither use the H emission
nor the infrared emission as tracers of present-day
star formation at R < 6 kpc in
M 31, as was also pointed out by Devereux et al. (1994).
Therefore, we investigated the relationship between SFR and neutral gas
only for the interval
(R= 6.8-11.4 kpc) containing the
``10 kpc ring''.
Table 7:
Kennicutt-Schmidt law in M 31 for .
The correlation plots in Fig. 15 and the results
in Table 7
show that
is not well correlated with the surface densities of either H2,
HI or total gas (
-0.59).
In spite of this, the fitted bisectors are statistically significant (t>3).
Interestingly, we find a linear relationship between
and
(exponent
), which
closely agrees with the average relationship for 7 nearby galaxies,
much brighter than M 31 (see Fig. 15a), analyzed by Bigiel et al. (2008).
While in these galaxies molecular hydrogen is the dominant gas phase,
most of the neutral gas in M 31 is atomic (compare
Fig. 15a,b).
Hence, the surface density of SFR is linearly related to that of
molecular gas, irrespective of the fraction of molecular gas or the
absolute value of the total gas surface density in a galaxy. Bigiel et al. (2008)
arrived at the same conclusion after comparing the galaxies in their
sample.
The correlation between
and total gas surface density is slightly better than that between
and molecular gas surface density. The bisector fit in Table 7 yields the
Kennicutt-Schmidt-law
![]() |
(3) |
where







Very recently, Braun
et al. (2009) also studied the dependence of SFR
on gas density in M 31 using the new Westerbork HI survey and
the CO survey of Nieten
et al. (2006). They estimated the SFR from the
surface brightnesses at IRAC 8 m, MIPS 24
m and GALEX FUV following
the procedure of Thilker
et al. (2005). Our Fig. 15a is comparable
to the radial range 8-16 kpc in their Fig. 20D that
shows the same range
in
as we find. Note that the molecular
gas densities of Braun
et al. (2009) are a factor of 1.6 larger
(+0.21 dex)
and have a wider dynamic range than our values due to differences
in scaling of the CO data, inclination, angular resolution and
radial
range. Scaling our relationship to the assumptions of Braun et al. (2009)
gives
,
which is in good agreement with their Fig. 20D.
The dependencies of SFR surface density on total gas surface
density in
Fig. 15c
and in Fig. 20E of Braun
et al. (2009) have the same pear-like
shape characterized by a broadening towards lower
and a rather sharp
cut-off near
= 10
pc-2.
The cut-off comes from the
-
relation (see Fig. 15b) and occurs at the same value as in the
bright galaxies analyzed by Bigiel
et al. (2008), who interpreted the lack of higher
surface mass densities as a saturation effect. Braun
et al. (2009) show that in M 31 this
truncation indeed vanishes after correcting the HI data for opacity,
which could lead to somewhat steeper slopes in Figs. 15b and
c.
7.2 Radial variations in the Kennicutt-Schmidt law
In Fig. 16a,
we plot the mean values in 0.5 kpc-wide rings in the plane of
M 31 of
against those of
from R =6 kpc to R = 16 kpc.
The points form a big loop with a horizontal
branch for R =6-8.5 kpc and a maximum
in the ring R = 10.5-11.0 kpc
(see also Fig. 17).
This behavior was already noted by Berkhuijsen
(1977)
and Tenjes & Haud (1991),
who used the number density of HII regions as
tracer of SFR and HI gas, and was recently confirmed by Boissier et al. (2007)
from GALEX UV data and total gas. Both Berkhuijsen
(1977) and Tenjes &
Haud (1991) showed that the differences between the slopes
inside and outside
the maximum of the starforming ring is greatly reduced when the
increase
in the scale height of the gas with increasing radius is taken into
account. We calculated
the scale height, h, from the scale height of the HI gas given by
Eq. (13) of
Braun (1991), scaled to D = 780 kpc,
assumed half this value for that of the
H2 gas, and a constant scale height for the
ionizing stars. Figure 16b
shows
as a function of gas volume density
= N(HI)/2h + N(2H2)/h.
The points have moved towards each other, but the horizontal branch
remained
and the behavior on the starforming ring has become more complicated.
The variations in slope in Fig. 16 are clear
evidence of radial
variations in the index of the Kennicutt-Schmidt law. Such variations
are not specific to M 31 as they are also seen in some of the
galaxies
analyzed by Bigiel et al.
(2008). In order to quantify the variations,
we determined the bisectors in scatter plots for three circular rings:
R = 7-9 kpc, R = 9-11 kpc
and R = 11-13 kpc,
covering the horizontal
branch, the increasing part inside the maximum and the decreasing part
outside the maximum, respectively. The results are given in
Table 8.
The index for the star fromation law for surface densities is unity
for the 7-9 kpc ring and about 1.6 for the other two
rings. Hence, the slope of b = 1.30 0.05
obtained for the ``10 kpc ring'' (R
=6.8-11.4 kpc) in Sect. 7.1 represents the mean value
of the first two rings considered here.
The scatter plots between
and gas volume density yield bisector slopes that are
about 0.2 smaller than those for surface density. The
correlation coefficients are all close to
for the ``10 kpc ring'' (see Table 7), indicating
that even in 2 kpc-wide rings
the intrinsic scatter is considerable. This implies that on scales
of a few hundred parsec significant variations in the index of the
Kennicutt-Schmidt law and in the star formation efficiency occur.
![]() |
Figure 16:
Mean face-on values of |
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Table 8: Kennicutt-Schmidt law in three radial intervals in M 31.
7.3 Radial variations in SFR and SFE
In Fig. 17
(upper panel) we present the radial profile of the SFR surface density
between 6 kpc and 17 kpc, averaged in
0.5 kpc-wide circular rings in the plane of M 31. The
face-on values vary between about 0.1 and 1 Gyr-1
pc-2. Boissier
et al. (2007) and Braun
et al. (2009)
obtained similar values for
in this radial range from GALEX UV data.
They are about 10 times smaller than the surface
densities of SFR between R = 1.5 kpc
and R = 7 kpc in the
northern part of M 33 observed by (Gardan
et al. 2007).
In the lower panel of Fig. 17 we show the
radial profiles of the
surface density of the molecular gas and of the star formation
efficiencies SFE =
/
and
/
.
Although the maximum
occurs on a relative maximum in the molecular gas density (in ring
10.5-11.0 kpc),
is only about 70% of its maximum value where the molecular gas density
is highest (in ring 9.0-9.5 kpc). Consequently, SFE varies
significantly with radius. Between R=6 kpc
and R=15 kpc SFE fluctuates around a value
of 0.9 Gyr-1, with a minimum of
0.46
0.01 Gyr-1
near R = 9 kpc. Thus SFE
is smallest where
is highest!
Up to R=12 kpc the efficiency
/
shows the same trend as SFE. The increase in SFE between
12 kpc and 15 kpc radius of a factor 1.5
results from the difference in radial scale lengths of
(or H
emission)
and the molecular gas density (see Fig. 6 and
Table 3).
Interestingly, in M 33 (Gardan
et al. 2007) found a radial increase
in SFE of a factor 2 between 2 kpc and 6 kpc
radius with similar
fluctuations around the mean as we observe in M 31, but the
mean value
in M 31 is about three times lower than in M 33.
Furthermore, Leroy et al. (2008)
found significant variations in the efficiency
on a linear scale of 800 pc in the sample of
12 spiral galaxies analyzed by them.
That large, small-scale variations in SFE exist in galaxies is
also clear from the large spread in the scatter plots of -
visible in Fig. 15a
and in several figures of Bigiel
et al. (2008). The same value of
can occur in a range of
spanning more than a factor of 10.
We may conclude that neither the present-day star formation
rate
nor the star formation efficiency SFE is well correlated with the
molecular gas surface density. Hence, other factors than molecular
gas density must play an important role in the star formation process.
Bigiel et al. (2008)
argue that local environmental circumstances
largely determine the SFE in spiral galaxies. These factors are
extensively discussed by e.g. Leroy
et al. (2008).
![]() |
Figure 17:
Radial variation of the face-on surface density of the star formation
rate |
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8 Summary
In this paper, we studied the emission from dust, neutral gas and
ionized gas in the disk of M 31, and the relationships between
these components on various linear scales. We compared the Spitzer MIPS
maps at 24 m,
70
m
and 160
m
(Gordon et al. 2006)
to the distributions of atomic gas seen in the HI line (Brinks & Shane 1984),
molecular gas as traced by the 12CO(1-0) line
(Nieten et al. 2006)
and ionized gas observed in H
(Devereux et al. 1994).
All data were smoothed to an angular resolution of 45
corresponding to 170 pc
660 pc in
the plane of the galaxy.
For each of the dust and gas maps, we calculated the mean intensity distribution as a function of radius (Fig. 6), separately for the northern and the southern half of M 31. Using wavelet analysis, we decomposed the dust and gas distributions in spatial scales and calculated cross-correlations as a function of scale. We also used classical correlations to derive quantitative relations between the various dust and gas components.
Using the MIPS 70 m and 160
m maps, we derived the distributions of the dust
temperature and optical depth. The dust optical depth at the H
wavelength was used to a) investigate the dust-to-gas ratio, b) derive
scaling relations between extinction and neutral gas emission, and c)
de-redden the H
emission in order to estimate the recent star formation rate. We also
presented the Kennicutt-Schmidt law indices obtained for the bright
emission ring near R = 10 kpc
in M 31. We summarize the main results and conclusions as
follows.
1. Dust temperature and opacity:
- The dust temperature steeply drops from about 30 K
in the center to about 19 K near R= 4.5 kpc,
and stays between about 17 K and 20 K beyond this
radius (Fig. 2). The mean dust temperature in the area studied
is about 18.5 K. This is 3 K less than the
temperature obtained by Walterbos
& Schwering (1987)
between the IRAS maps at 60
m and 100
m that both trace warmer dust than the MIPS maps at 70
m and 160
m used here.
- The dust optical depth at H
along the line of sight varies in a range between about 0.2 near the center and about 1 in the ``10 kpc ring'' (Fig. 4) with a mean value of 0.7
0.4 (the error is standard deviation) and a most probable value of
0.5, indicating that M 31 is mostly optically thin to the H
emission. The total flux density of the H
emission increases by 30% after correction for extinction.
2. Radial distributions:
- The radial scale lengths between the maximum in the ``10 kpc ring'' and R= 15 kpc of the warm dust are smaller than that of the cold dust, as is expected if the warm dust is mainly heated by UV photons from star forming regions and cold dust by the ISRF. With the largest scale length, atomic gas has the largest radial extent of the dust and gas components considered here.
- The radial gradient of the total gas-to-dust ratio is
consistent
with that of the oxygen abundance in M 31. The gas-to-dust
ratios observed in the solar neighborhood (Bohlin
et al. 1978) occur near R=
8.5 kpc in the disk of M 31 where N(gas)/
at cm-2.
3. Properties as a function of scale:
- Spatial scales larger than about 8 kpc contain most of the emitted power from the cold dust and the atomic gas, whereas the emissions from warm dust, molecular gas and ionized gas are dominated by scales near 1 kpc, typical for complexes of starforming regions and molecular clouds in spiral arms (Fig. 11).
- Dust emission is correlated (
) with both neutral and ionized gas on scales >1 kpc.
- On scales <1 kpc, ionized gas is
best correlated with
warm dust and neutral gas (both HI and H2) with
cold dust. On the smallest scale of 0.4 kpc, an HI-warm dust
correlation hardly exists (
) because not much HI occurs on the scale of starforming regions (see Fig. 11).
4. Relationships between gas and dust:
- H
emission is slightly better correlated with the emission at 70
m than at 24
m (Fig. 13, Table 6), especially on scales < 2 kpc (Fig. 12). As in M 33 the 24
m-H
correlation is best, this suggests that in early-type galaxies like M 31 the contribution from evolved AGB stars to the 24
m emission is larger than in late-type galaxies like M 33.
- Dust extinction
is not well correlated with N(2H2) indicating that dust mixed with molecular clouds does not contribute much to the total extinction. Although the correlation with N(HI) is better,
is best correlated with N(HI + 2H2).
- Dust opacity is proportional to the square root
of N(2H2) but about linearly
related to N(HI), as was also
found by Nieten et al. (2006)
at 90
resolution. This is an indirect indication of a balance between the formation and destruction rates of H2 in cool, dusty HI clouds.
- In the central 2 kpc both the dust opacity and the
HI column density are very low and the dust temperature is
high.
This combination may explain the lack of H2 in
this region.
5. SFR and SFE:
- The SFR in M 31 is low. The total SFR in the
observed field between R= 6 kpc and R=
17 kpc is
and the star formation efficiency is 0.9 Gyr-1, yielding a molecular depletion time scale of 1.1 Gyr. This is about three times longer than observed in the northern part of M 33 (Gardan et al. 2007). The radial distribution of
in 0.5 kpc-wide rings in the plane of the galaxy (Fig. 17) varies between about 0.1 and 1
Gyr-1 pc-2, values that are about 10 times smaller than in the northern part of M 33 (Gardan et al. 2007). Between R= 6 kpc and R= 15 kpc, SFE varies between about 0.5 Gyr-1 and 1.5 Gyr-1, whereas the efficiency with respect to the total gas surface density slowly decreases from about 0.18 Gyr-1 to about 0.03 Gyr-1.
- SFR is not well correlated with neutral gas and worst of
all with molecular gas in the radial range
containing the ``10 kpc ring'' (Fig. 15, Table 7). In spite of this, the power-law fits are statistically significant. We find a linear relationship between the surface densities of SFR and molecular gas (power-law exponent 0.96
0.03), and a power law with index 1.30
0.05 between the surface densities of SFR and total gas. These results agree with the average relationship for 7 nearby galaxies much brighter than M 31 (Bigiel et al. 2008). While in these galaxies molecular hydrogen is the dominant gas phase, most of the neutral gas in M 31 is atomic. Thus, the surface density of SFR depends linearly on that of molecular gas irrespective of the fraction of molecular gas or the absolute value of the total gas surface density in a galaxy.
Some important implications of this study are:
- -
- Precaution is required in using the total IR luminosity
(TIR) as an indicator of recent SFR or to derive dust opacity for an
early-type galaxy like M 31, because the cold dust is mainly
heated by the ISRF and the warm dust emission at 24
m is partly due to evolved stars (especially in the bulge of the galaxy).
- -
- Neither the present-day SFR nor SFE is well correlated with the surface density of molecular gas or total gas. Therefore, other factors than gas density must play an important role in the process of star formation in M 31.
We are grateful to E. Krügel for valuable and stimulating comments. We thank K.M. Menten and R. Beck for comments and careful reading of the manuscript. The Spitzer MIPS data were kindly provided by Karl D. Gordon. E. Tempel kindly sent us a table of extinction values that we used for Fig. 5. We thank an anonymous referee for extensive comments leading to improvements in the manuscript. F.T. was supported through a stipend from the Max Planck Institute for Radio Astronomy (MPIfR).
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Footnotes
- ... R
- Because the spiral structure is different in the northern and southern half (northeast and southwest of the minor axis, i.e. left and right of the minor axis, respectively), we present all radial profiles for each half separately.
All Tables
Table 1: Positional data adopted for M 31.
Table 2: M 31 data used in this study.
Table 3: Exponential scale lengths of dust and gas emissions from M 31.
Table 4: Exponential scale lengths L and radial gradients of dust-to-gas ratios and the abundance [O/H].
Table 5:
Power-law relations and correlation coefficients
between dust extinction and gas components.
Table 6:
Power-law relations and correlation coefficients
between the emission from dust and ionized gas.
Table 7:
Kennicutt-Schmidt law in M 31 for .
Table 8: Kennicutt-Schmidt law in three radial intervals in M 31.
All Figures
![]() |
Figure 1:
Dust temperature in M 31 obtained from the ratio |
Open with DEXTER | |
In the text |
![]() |
Figure 2: a) Histogram of the dust temperature shown in Fig. 1. b) Distribution of the dust temperature in rings of 0.2 kpc in the galactic plane in the northern and southern halves of M 31. |
Open with DEXTER | |
In the text |
![]() |
Figure 3:
Distribution of the dust optical depth at H |
Open with DEXTER | |
In the text |
![]() |
Figure 4:
a) Histogram of the dust optical depth shown
in Fig. 3,
b) radial distribution of the mean optical
depth at the H |
Open with DEXTER | |
In the text |
![]() |
Figure 5:
Radial variation of the (total) mean optical depth
in H |
Open with DEXTER | |
In the text |
![]() |
Figure 6:
Top: radial profiles of the Spitzer IR
emission from the northern ( left) and the southern (
right) halves of M 31. Bottom:
radial profiles of the surface densities of the atomic, molecular and
total neutral gas together with that of the ionized gas (de-reddened H |
Open with DEXTER | |
In the text |
![]() |
Figure 7: Ratio of the MIPS IR intensities against galactocentric radius in M 31. |
Open with DEXTER | |
In the text |
![]() |
Figure 8:
Radial profiles of the gas-to-dust ratios in M 31, the
northern half and the southern half. Top: N(HI)/
|
Open with DEXTER | |
In the text |
![]() |
Figure 9:
Dust-to-gas ratios as function of galactocentric radius for
M 31, calculated from the radial profiles of |
Open with DEXTER | |
In the text |
![]() |
Figure 10:
Distribution of the de-reddened H |
Open with DEXTER | |
In the text |
![]() |
Figure 11: Wavelet spectra of MIPS IR ( left) and gas ( right) emission in M 31, shown in arbitrary units. The data points correspond to the scales 0.4, 0.6, 1.0, 1.6, 2.5, 4.0, 6.3, 10.0, 15.9, 25.1 kpc. |
Open with DEXTER | |
In the text |
![]() |
Figure 12: Wavelet cross correlations of atomic gas ( top-left), molecular gas ( top-right), and total neutral gas ( bottom-left) with IR emission in M 31. The IR correlation with the ionized gas ( bottom-right) is also shown. The data points correspond to the scales 0.4, 0.6, 1.0, 1.6, 2.5, 4.0, 6.3, 10.0, 15.9, and 25.1 kpc. |
Open with DEXTER | |
In the text |
![]() |
Figure 13:
Classical cross-correlations between gas column densities and dust
extinction A
|
Open with DEXTER | |
In the text |
![]() |
Figure 14:
Scatter plot between the surface brightnesses of ionized gas and dust
emission at 70 |
Open with DEXTER | |
In the text |
![]() |
Figure 15:
Scatter plots between the surface density of the star formation rate
and neutral gas surface densities for the radial interval |
Open with DEXTER | |
In the text |
![]() |
Figure 16:
Mean face-on values of |
Open with DEXTER | |
In the text |
![]() |
Figure 17:
Radial variation of the face-on surface density of the star formation
rate |
Open with DEXTER | |
In the text |
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