Free Access
Issue
A&A
Volume 534, October 2011
Article Number A131
Number of page(s) 17
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/201015889
Published online 20 October 2011

© ESO, 2011

1. Introduction

1.1. Giant molecular clouds

High-mass stars are known to be born in massive and dense clumps embedded within giant molecular clouds (GMCs; Zinnecker & Yorke 2007). These GMCs have typical radii of  ~60 pc, masses of 106   M and temperatures of  ~10 K, and are found to be concentrated toward the Galactic plane (Grabelsky et al. 1988). This gives rise to spatial and kinematic blending along the line-of-sight. For example, the CO emission, the most frequently used tracer of molecular gas for GMCs, with a low critical density (~102 cm-3), is often complex with multiple profile components. To overcome these observational difficulties and perform a complete census of massive-star forming regions (MSFRs) in a whole GMC, ideally requires one to study GMCs above and below the Galactic plane using a high density tracer. Recent surveys of dust condensations within whole GMCs have been made toward RCW 106 (Mookerjea et al. 2004), Cygnus X (Motte et al. 2007), and NGC 6334 (Muñoz et al. 2007) using millimeter continuum emission as a high density tracer.

1.2. Massive-star forming regions

MSFRs are embedded in GMCs, generating a high Lyman continuum photon flux ( ≳ 2 × 1045 photons s-1; Panagia 1973) that ionizes the surrounding gas and heats the surrounding dust. These MSFRs can thus be identified by infrared emission from heated dust and/or by radio emission from ionized gas. They can also be identified based on both their molecular lines from high density gas and their millimeter and sub-millimeter continuum emission from dust.

Bronfman et al. (1996) showed that 60% of the IRAS point sources in the Galactic plane with far infrared (FIR) colors typical of ultra compact (UC) HII regions (Wood & Churchwell 1989) are associated with dense molecular structures seen in the CS(2–1) line ( ≳ 104–105 cm-3). Hereafter, these sources will be referred to as IRAS-CS sources. From observations in 1.2 mm continuum emission of 146 IRAS-CS sources, Faúndez et al. (2004) showed that MSFRs are associated with condensations of gas and dust. Infrared studies, however, cannot provide a complete census of the birth sites of massive stars, since there are massive condensations that are undetected at infrared wavelengths. For example, Garay et al. (2004) found four clumps with masses between 4 × 102 and 2 × 103   M and densities of  ~2 × 105 cm-3, without infrared emission, located close to clumps associated with MSFRs. They suggested that these cold (≲17 K), dense, and massive clumps will eventually form high mass stars. Hill et al. (2005) found 113 cold clumps, which have a mean mass of  ~800 M, a mean radius of  ~0.4 pc, and a mean density of  ~105 cm-3. Beltrán et al. (2006) found 95 cold clumps with a mean mass of 96 M, a mean radius of 0.4 pc, and a mean density of 9 × 104 cm-3.

1.3. Clumps in GMCs

Observations in molecular lines (e.g. Bains et al. 2006) and dust continuum emission (e.g. Muñoz et al. 2007) on spatial scales smaller than  ~1 pc show that GMCs have a fragmented structure, and these sub-structures have been referred to as clumps (Williams et al. 2000).

Clumps in GMCs have masses from 4 to 104   M, diameters from 0.2 to 2 pc, and densities from 103 to 105 cm-3. The clump mass distribution is consistent with a power law dN/dM ∝ M − α, where dN/dM is the number of objects by mass interval, M is the mass, and α is the mass spectral index. The derived mass spectral indices range between 1.3 and 1.8 (e.g. Mookerjea et al. 2004; Muñoz et al. 2007), values similar to those found for the mass distribution of molecular clouds as a whole (α = 1.5–1.6; Sanders et al. 1985; Solomon et al. 1987; Williams & McKee 1997). The similarity between the spectral mass indices suggests a common origin; however, different mechanisms have been proposed to explain the formation of clumps and GMCs. On the one hand, large-scale gravitational instabilities, in the combined medium of the collisionless stars and the collisional gas, drive spiral density waves (e.g. Li et al. 2005), and are likely to be the main mechanism behind GMC formation. On the other hand, since GMCs are considered turbulent and supersonic, it is expected that the clump formation is, to first order, produced by ram pressures from supersonic flows, which can provide the seeds for a gravitational fragmentation (Ballesteros-Paredes et al. 2006, and 2007; Bonnell et al. 2007; Klessen et al. 1998).

1.4. This paper

To undertake a complete census of dense and massive clumps, including those with and without infrared emission, we observed the whole of GMC G345.5+1.0 in 1.2 mm continuum emission. The determination of physical properties of a sample of clumps belonging to a single GMC is desirable since, in this way, the distance to the GMC is a factor that influences neither the mass distribution or the relationships between physical properties. However, these studies are difficult because of the superposition of dust and molecular structures along the line-of-sight to GMCs in the Galactic plane. We chose the GMC G345.5+1.0 as our target for two reasons. First, it is located  ~1° above the Galactic plane, so our observations in 1.2 mm continuum emission are roughly free of confusion with background or foreground structures along the line-of-sight. Second, it is at 1.8 kpc from the Sun, near enough to resolve clumps associated with MSFRs, but far enough away to permit a complete coverage of the GMC.

The structure of this article is as follows: Sects. 2 and 3 present, respectively, the main characteristics of G345.5+1.0 and the observations; Sect. 4 presents the results and a discussion, and Sect. 5 gives a summary of our study.

thumbnail Fig. 1

Spectra of the 12CO(1–0) line emission integrated over the whole area of the GMC G345.5+1.0 (between 3445 and 3465 in Galactic longitude and between 02 and 20 in Galactic latitude; Bronfman et al. 1989). Emission from the GMC under study is between –33 and  − 2 km s-1 with a peak at  − 13.6 km s-1.

2. GMC G345.5+1.0

The GMC G345.5+1.0 was first observed as part of the Columbia University – Universidad de Chile 12CO(1–0) Survey of the Southern Galaxy (Bronfman et al. 1989). It is located approximately between 3445 and 3465 in Galactic longitude, and between 02 and 20 in Galactic latitude. Figure 1 shows the spectrum of the 12CO(1–0) line emission integrated over the area of the GMC. The emission of the GMC is between  −33 and  −2 km s-1 (LSR velocities) with a peak at  − 13.6 km s-1.

We estimate the kinematic distance using the rotation curve determined by Alvarez et al. (1990), with a Galactocentric solar distance of 8.5 kpc and a solar LSR velocity of 220 km s-1. Considering a Galactic longitude of 3455 and LSR velocity of  − 13.6 km s-1, the GMC is within the solar circle with two possible kinematic distances:  ~1.8 and 15 kpc. Thus, the GMC is  ~31 or 262 pc above the Galactic plane, a factor 0.5 or 4.4 of the HWHM of the molecular Galactic disk (~60 pc; Bronfman et al. 2000), respectively. Therefore, 1.8 kpc is the most probable kinematic distance to the GMC.

Physical properties of the GMC are estimated using the 12CO(1–0) line observations. The 12CO(1–0) line emission integrated over the full spatial and spectral extension of the GMC is 192 K km s-1 deg2. Using a ratio of H2 column density to integrated 12CO(1–0) line emission NH2/Wco equal to 1.56 × 1020 cm-2 (K km s-1)-1 (Hunter et al. 1997), the total mass of the GMC is 6.3 × 105M, corrected by a factor of 1.3 to account for 25% of helium. Since its angular size is 28, the GMC has a mean radius of  ~34 pc, mean column density of  ~1022 cm-2 and mean density of  ~70 cm-3, where the depth of the cloud has been assumed to be same as its radius. Table 1 summarises the main characteristics of this GMC. The derived physical properties confirm that the most probable distance to the GMC is  ~1.8 kpc. If at the far kinematic distance (15 kpc), the GMC would have a mean radius of 280 pc and a total mass of 4.4 × 107M, values much higher than the typical value of 60 pc in radius and 106M in mass (Dame et al. 1986); Williams & McKee (1997) found that the molecular cloud mass distribution within the solar circle has an upper mass limit of 6 × 106   M.

3. Observations

We observed the whole GMC G345.5+1.0 in continuum emission at 1.2 mm using SIMBA mounted on the SEST. The SEST is a 15-m diameter radio telescope, which operated between 70 and 365 GHz, and SIMBA is a 37-channel hexagonal bolometer, operating at 250 GHz (1.2 mm), with a passband equivalent width of 90 GHz (FWHM). The configuration SEST-SIMBA had a beamsize of 24′′, which corresponds to a spatial resolution of  ~ 0.2 pc at the GMC distance (1.8 kpc).

Table 1

Summary of main characteristics of G345.5+1.0.

Observations were made in October 2002 and July 2003, using the fast mapping mode, and consist of 185 images of 15′ (azimuth)  × 10′ (elevation) in size. The scans were made in azimuth at a rate of 80′′ s-1, and they were separated in elevation by 8′′; the total integration time per map was about 25 min. Measurements of the atmospheric opacity were made through skydips about every three hours, and values at the zenith ranged between 0.09 and 0.31. Data were reduced using the MOPSI software (developed by Robert Zylka, IRAM, Grenoble, France), and calibrated (in terms of flux density) with observations toward Uranus, one made in October 2002, and an additional eight made in July 2003. Bolometer channels were corrected for the correlated noise by inspecting the surrounding channels. The noise correlation between 1 and 900 arcsec, and between 100 and 900 arcsec inferred an error smaller than 20% in the flux densities of detected sources. The calibration factor has a value of 0.086 Jy counts-1 for October 2002, and a mean value of  ~0.069 ± 0.005 Jy counts-1 for July 2003. These variations agree with the uncertainty estimated by Faúndez et al. (2004) of 20% in the flux density measurements using SIMBA data.

For the 185 images, we achieved an rms of between 0.023 and 0.080 Jy beam-1, with a median of 0.036 Jy beam-1, for a beam calibration area of  ~653 arcsec2 (“SIMBA Data Reduction Handbook”). The individual maps were combined in a mosaic of 12 in size, centered at 34540 in Galactic longitude and +110 in Galactic latitude, and with a final rms of  ~ 20 mJy beam-1.

4. Results and discussion

thumbnail Fig. 2

Map of the GMC G345.5+1.0 in 1.2 mm continuum emission. Observations were made using SIMBA, with a spatial resolution of 0.2 pc. They cover 12 in the sky, with an rms of 20 mJy beam-1.

4.1. The 1.2 mm continuum emission

Figure 2 presents the 1.2 mm emission image of the whole GMC G345.5+1.0. The total flux density of the GMC G345.5+1.0 is  ~365 Jy, which is estimated by integrating the intensity over the whole area of the cloud.

As can be seen in the integrated spectrum of the 12CO(1−0) line (Fig. 1), across GMC G345.5+1.0 (LSR velocity between  −33 and  −2 km s-1), there are additional molecular gas components along the line-of-sight, particularly in the ranges  −170 to  − 100 km s-1,  −75 to  −33 km s-1, and 0 to 5 km s-1. Hence, the question arises as to whether the 1.2 mm continuum emission only traces dust condensations within GMC G345.5+1.0? To examine the association of the GMC with 1.2 mm continuum emission, Fig. 3 shows images of the velocity-integrated 12CO(1 − 0) emission in three velocity ranges (−200 to  −33 km s-1,  − 33 to  −2 km s-1, and  −2 to 50 km s-1) superimposed with contours of the 1.2 mm continuum emission. Figure 3 shows that most of the emission detected in 1.2 mm is associated with the GMC. About 1% of the total observed area might also be associated with gas at velocities  <−33 km s-1 (Fig. 3, top), localized mainly in the region of the IRAS point sources 17008-4040 (G345.499+0.354) and 17009-4042 (G345.490+0.311).

thumbnail Fig. 3

Integrated 12CO(1–0) emission toward GMC G345.5+1.0 in different LSR velocity ranges (Bronfman et al. 1989). Top: from  −200 to  −33 km s-1. Middle: from  −33 to  −2 km s-1. Bottom: from  −2 to 50 km s-1. Magenta circles mark spatial and spectral positions of detections in the CS(2–1) line toward MSFRs (Table 2). Contours represent 1.2 mm continuum emission at 5 times rms,  ~0.1 Jy beam-1.

Table 2

List of IRAS point sources along the line-of-sight to the GMC G345.5+1.0 observed in the CS(2–1) line by Bronfman et al. (1996).

thumbnail Fig. 4

IRAS point sources along the line-of-sight of the GMC G345.5+1.0 observed in the CS(2–1) line (Bronfman et al. 1996). Gray scale represents 1.2 mm continuum emission. Arrows mark CS(2–1) line observations, and crosses indicate observations without detection (see Table 2).

thumbnail Fig. 5

Line profiles toward the IRAS point sources 17008-4040 and 17009-4042: top image, 12CO(1–0) line profiles (Bronfman et al. 1989), over a map of their integrated emissions (color scale) and with contours of 1.2 mm continuum emission; middle and bottom images, CS(2–1) line profiles (their observing positions are indicated as black dots in the top image; Bronfman et al. 1996).

From the survey of Bronfman et al. (1996), we find that there are eight IRAS-CS sources within the region and two IRAS point sources that are not detected in the CS(2–1) line (see Table 2). As is shown in both the 12CO(1–0) maps (Fig. 3) and the 1.2 mm continuum emission map (Fig. 4), these MSFRs, or IRAS-CS sources, are associated with the GMC and have a counterpart in 1.2 mm. They correspond to the most dense and massive dust condensations (see Table 5). The two IRAS point sources not detected in the CS(2–1) line were also not detected in the continuum (see Fig. 4). The eight IRAS-CS sources include the IRAS point sources 17008-4040 and 17009-4042. Line profiles toward these two objects in the 12CO(1–0) and CS(2–1) lines are shown in Fig. 5. Gas components with velocities  < −33 km s-1 observed in the 12CO(1–0) line are not observed in the CS(2–1) line, suggesting that they correspond to regions of low density gas. Since 1.2 mm continuum emission traces high densities (e.g. Faúndez et al. 2004), it should not be detected in these clouds. In summary, from observations in the 12CO(1–0) and CS(2–1) lines, we conclude that the 1.2 mm continuum emission is associated only with the GMC.

4.2. Identification of clumps

The structure of the GMC observed in 1.2 mm continuum emission (Fig. 2) is fragmented, and it is possible to distinguish several clumps.

To identify clumps we utilize CLUMPFIND1 (Williams et al. 1994), which creates contours over data, searches for peaks of emission to locate clumps, and follows them down to the lower intensity contour.

CLUMPFIND finds 201 clumps in the 1.2 mm continuum emission map of the GMC, containing  ~100% of the total emission above 3σ. We used a lower intensity contour of three rms,  ~0.06 Jy beam-1, and a contouring interval equal to twice the rms noise,  ~0.04 Jy beam-1. To delete fictitious structures, we imposed two conditions on the CLUMPFIND output, that the angular size of the emission and the emission peak of clumps had to be greater than the beam size,  ~24′′ × 24′′, and five times rms,  ~0.1 Jy beam-1, respectively. The angular size is defined to be the angular area inside the lowest intensity contour (three rms). The 201 identified clumps have areas between  ~0.18 and 7.3 arcmin2, emission peaks between 0.1 and 9 Jy beam-1, and flux densities between 0.089 and 40 Jy.

Table 5 shows the characteristics of each clump calculated in this section, Sects. 4.3 and 4.4. Column 1 gives clump names; Cols. 2 and 3, Galactic coordinates of peaks in 1.2 mm continuum emission; Col. 4, 1.2 mm flux densities; Col. 5, diameters (deconvolved FWHM sizes); Col. 6, masses; Col. 7, densities; Col. 8, column densities; and Col. 9, if clumps have (“Y”) or do not have (“N”) an infrared counterpart from MSX and Spitzer observations.

4.3. Physical properties of clumps

First, we estimate the minimum gas column density that can be detected given the rms noise of our observations. Assuming that 1.2 mm continuum emission is optically thin and produced by dust, the column density N is (Hildebrand 1983) (1)where Ω is the beam solid angle, S1.2   mm is the flux density at 1.2 mm, μ is the mean mass per particle, equal to  ~2.29 for an H2 cloud with a 25% contribution of helium (Evans 1999), mH is the hydrogen atom mass, k1.2   mm is the dust absorption coefficient at 1.2 mm, equal to  ~1 cm2 g-1 for protostellar cores (Ossenkopf & Henning 1994), B1.2   mm(Tdust) is the Planck function at both 1.2 mm and a dust temperature Tdust, equal to  ~30 K for regions of massive-star formation (Faúndez et al. 2004), and Rgd is the ratio of gas to dust mass,  ~100 (Hildebrand 1983). For a solid angle limit of 24′′ × 24′′ and an intensity limit of five rms,  ~ 0.1 Jy beam-1, the minimum flux density is  ~88 mJy and the minimum column density that can be detected is  ~4 × 1021 cm-2, which corresponds to a visual extinction of 4 mag, assuming that NH2/AV ~ 1021   cm-2   mag-1 (Bohlin et al. 1978).

Masses of clumps, Mc, are estimated as

where dA is the differential element of area (dA = d2 dΩ) and d is the distance to the GMC (~1.8 kpc). Since we insist that identified clumps have intensities and dimensions greater than 0.1 Jy beam-1 and 24′′ × 24′′ respectively, the lower limit to their masses is  ~2.9 M. The derived masses of clumps range from 3.0 to 1.3 × 103M, with a total mass of 1.2 × 104M (see Tables 3 and 5). The efficiency in forming these clumps, estimated as the ratio of the total clump mass to the total GMC mass, is thus  ~0.02.

thumbnail Fig. 6

Mass distribution of identified clumps in G345.5+1.0, plotted as dN/dlog (M/M) versus mass, where dN/dlog (M/M) is approximated by the number of clumps ΔN within a logarithmic mass interval Δlog (M/M). Here, Δlog (M/M) is constant,  ~0.44. Error bars are estimated by . The arrow shows the clump mass limit,  ~2.9 M. The continuous line represents the mass distribution fit with dN/dlog (M/M) ∝ M1 − α, where the spectral mass index α is 1.7 ± 0.1 for masses between  ~10 and 1.3 × 103M. The dashed line displays the spectral mass index for the stellar initial mass function (IMF) of the solar neighborhood for stellar masses greater than 0.5 M (e.g. Kroupa 2002); the line is forced to pass through the peak of the clump mass distribution.

The clump mass distribution (CMD) is shown in Fig. 6, plotted as dN/dlog (M/M) versus mass, where dN/dlog (M/M) is approximated by the number of clumps, ΔN, within a logarithmic mass interval Δlog (M/M). In this figure, Δlog (M/M) is constant, at a value of  ~0.44. The CMD is well-fitted by a power law dN/dlog (M) ∝ M − α + 1, which can be expressed as dN/dM ∝ M − α, with the spectral mass index, α, equal to 1.7    ±    0.1 for masses between  ~10 and 1.3 × 103M. The correlation coefficient of the fit is 0.993. Between 10 M and 1.3 × 103M, bin size variations of Δlog (M/M) between 0.18 and 1.1 result in values of α consistent with 1.7 ± 0.1. Since α is 1.7, the population is dominated by clumps with low masses, but the total mass is dominated by the most massive clumps; for example, 50% of the population is between 10 and 27 M, but contains only 10% of the total mass. The turnover below  ~10 M is produced by an incompleteness of the clump catalog caused by the combination of the spatial resolution and flux density limit of the survey. However, observations of higher spatial resolution ( ≲ 0.01 pc) could result in a spectral mass index of  ~2.35, resolving core structures (e.g. Motte et al. 1998). Beltrán et al. (2006) studied a sample of IRAS sources associated with MSFRs in 1.2 mm continuum and found a spectral mass index of 1.5 for clumps with masses between  ~10 M and 102M and 2.1 for clumps with masses between  ~102 and 104M. For clumps identified here with masses higher than 100 M, we find a spectral mass index of 1.6 ± 0.1, as is shown in Fig. 7, in agreement with the previous fit considering clumps with masses between 10 and 1.3 × 103M. It is necessary to observe more whole GMCs to confirm these results.

Clump diameters, Dc, are estimated from the deconvolved FWHM size of their emissions. We used the FWHM size θFWHM estimated by CLUMPFIND algorithm, thus

where θbeam is the beam-size. Considering a distance of 1.8 kpc to the GMC and clumps that have a reliable Dc, i.e. Dc ≥ θbeam, clumps have diameters between 0.2 and 0.6 pc.

thumbnail Fig. 7

Mass distribution of identified clumps in G345.5+1.0 with masses higher than 100 M, plotted as dN/dlog (M/M) versus mass, where dN/dlog (M/M) is approximated by the number of clumps ΔN within a logarithmic mass interval Δlog (M/M). Here, Δlog (M/M) is constant,  ~0.37. Error bars are estimated by . The continuous line represents the mass distribution fit with dN/dlog (M/M) ∝ M1 − α, where the spectral mass index α is 1.6 ± 0.1 for masses between  ~100 and 1.3 × 103M.

From the masses and sizes, and assuming a spherical and homogeneous density distribution, we estimate mean clump densities, using the expression

where ρ is the mass density and n is the particle density. Densities of clumps are between 5 × 103 and 4 × 105 cm-3. Mean column densities of clumps, Nc, are estimated as

and range between 4 × 1021 and 4 × 1023 cm-2. Tables 3 and 5 show physical properties for each clump and a summary of them, respectively.

Figure 8 shows a plot of mass versus diameter for the clumps detected toward GMC G345.5+1.0 with reliable diameters. The dotted lines indicate constant densities at 103, 104, 105, and 106 cm-3. The majority of clumps have densities between 104 and 105 cm-3.

The physical properties of detected clumps are similar to those found in other GMCs (e.g. Mookerjea et al. 2004).

thumbnail Fig. 8

Mass versus diameter for the clumps detected toward the GMC G345.5+1.0 in 1.2 mm continuum emission with reliable diameters. Filled circles indicate clumps detected in infrared MSX and Spitzer bands. Open circles indicate clumps that do not have an infrared counterpart. Triangles indicate clumps associated with MSFR-IRAS sources, which have luminosities  >103L. Boxes indicate clumps associated with MSX sources that satisfy MYSO candidate criterion (Lumsden et al. 2002). Arrows mark detection limits for masses (~2.9 M) and diameters (~0.2 pc). The continuous line indicates the detectable mass as a function of diameter (sensitivity limit), considering an intensity limit of five rms (~0.1 Jy beam-1). Dotted lines indicate mean densities at 103, 104, 105 and 106 cm-3. The densities are computed assuming a mean molecular weight of μ = 2.29.

Table 3

Summary of the physical properties of the identified clumps.

Table 4

SED models for MSFRs associated with IRAS point sources and massive clumps detected in 1.2 mm continuum emission.

4.4. Association with infrared emission (IRAS-MSX-Spitzer)

Stars form in clumps, heating their surrounding dust, which re-radiates at infrared wavelengths. This is illustrated in Fig. 9 that shows a strong spatial correlation between the 1.2 mm continuum emission and infrared emission at 21.34 μm (from MSX observations). To quantify the correlation, we searched for infrared emission inside clump emission areas, using MSX2 images at 8.28, 12.13, 14.65, and 21.34 μm and Spitzer3 (IRAC) images at 3.6, 4.5, 5.8, and 8.0 μm. We find that  ~20% of all clumps have an infrared counterpart in all MSX and Spitzer bands (see Table 5). The rest of the clumps,  ~80%, are not detected in all MSX and Spitzer bands, particularly not in 12.13, 14.65, and 21.34 μm. Since 8.0 μm MSX band and Spitzer IRAC bands are sensitive to the polycyclic aromatic hydrocarbon (PAH) emission and the photospheric emission from stars (e.g. Chavarría et al. 2008), clump not detected in all MSX and Spitzer bands are considered to have no counterpart at infrared wavelengths. Since both the MSX and Spitzer bands have sensitivity limits, the percentage of detections is a lower limit to the number of clumps that are forming stars, and the percentage of failed detections is an upper limit to the number of clumps that are not forming stars.

Nine clumps are associated with six IRAS point sources classified as MSFRs with luminosities  ≳ 103L (see Sect. 4.5 and Table 4). As Fig. 8 shows, these clumps have densities of  ~105 cm-3, suggesting that there is a threshold density above which massive stars can form. These values are consistent with the typical density of clumps associated with MSFRs (~105 cm-3; Faúndez et al. 2004).

As Fig. 8 shows, clumps that emit detectable infrared emission tend to be more massive than remaining clumps. Clumps without infrared emission (cold or starless clumps) have a mean mass of 21 M, and clumps with an infrared counterpart have a mean mass of 2.1 × 102   M. Furthermore, all clumps with masses higher than  ~200 M have an infrared counterpart.

MSX point sources associated with clumps within the GMC G345.5+1.0 have mid-infrared colors S21/S8 from 0.9 to 30, S14/S8 from 0.4 to 8, and S12/S8 from 0.7 to 4, where S8, S12, S14, and S21 are the flux densities at 8.28, 12.13, 14.65, and 21.34 μm, respectively. These ratios cover those of massive young stellar objects (MYSOs; Lumsden et al. 2002): S21/S8 > 2 and S21 > S14 > S8. About 7% of the clumps contain MSX sources that satisfy this criterion, and these clumps have masses  ≳ 36 M (see Fig. 8).

The existence of clumps with and without infrared emission suggests that clumps in the GMC are at different evolutionary stages. Cold clumps have masses between 3.0 and 1.9 × 102   M, where the most massive ones are possible progenitors of MSFRs. For example, we estimate that the least massive clump associated with a MYSO has a mass of  ~36 M, and we identify seven cold clumps with densities  ≳105 cm-3 and masses  ≳ 36 M, which will eventually collapse to form high-mass stars.

Do clumps form single stars? One way to assess this is to compare the slope of the clump mass distribution with that of the stellar initial mass function (IMF) (e.g. Motte et al. 1998; Lada et al. 2007). Equal slopes would indicate that the origin of the stellar IMF has its direct roots in the origin of the clump mass distribution. The spectral mass index α of the clump mass distribution determined here is consistent with that of other investigations (e.g. Muñoz et al. 2007), but differs from that estimated for the stellar IMF of the solar neighborhood for stellar masses higher than 0.5 M (α ~ 2.35; e.g. Kroupa 2002). This suggests that the detected clumps do not directly form stars, and other processes are necessary to determine the stellar initial masses, such as the fragmentation of clumps, mainly of the most massive ones. Figure 6 compares the IMF spectral mass index with the clump mass distribution.

thumbnail Fig. 9

Image in 21.34 μm from MSX observations toward GMC G345.5+1.0 with contours of 1.2 mm continuum emission at three times rms,  ~ 0.06 Jy beam-1.

4.5. Dust properties of massive-star forming regions associated with clumps and IRAS point sources

Regions of massive star formation are embedded in massive clumps, and the intense Lyman flux produced by them heats the surrounding dust, which re-emits mainly at far infrared wavelengths with characteristic colors. To study the physical properties of dust in these regions, we examine the spectral energy distributions (SEDs) of MSFRs associated with IRAS point sources and clumps detected here, assuming that their emissions are from dust.

Within the GMC, there are eight MSFRs associated with IRAS-CS sources (Table 2). We added one more source, IRAS 16533-4009, which is embedded in 1.2 mm continuum emission, has a high luminosity,  ~9 × 104   L, and increasing IRAS flux densities from 12 to 100 μm; however it does not satisfy the far-infrared color criterion defined by Wood & Churchwell (1989), since its flux density in 25 μm is an upper limit. Figure 11 shows 8.0 μm images from Spitzer data with contours of 1.2 mm continuum emission for all these sources. For six of these objects, the Spitzer emission is embedded within 1.2 mm continuum emission. For more reliable estimates in our SED study, we only consider these six sources: IRAS 16533-4009, IRAS 16562-3959, IRAS 16571-4029, IRAS 16596-4012, IRAS 17008-4040, and IRAS 17009-4042.

Figure 12 displays the six SEDs constructed using our observations in 1.2 mm continuum emission, infrared data at 12, 25, 60, and 100 μm from the IRAS Point Source Catalog (version 2.0), and at 8.3, 12.1, 14.7 and 21.3 μm from the MSX Point Source Catalog (version 2.3). Because observations were performed using different beam sizes, for IRAS  ~ 300′′, for MSX  ~ 20′′, and for 1.2 mm 24′′, we consider all emission within the IRAS beam; thus, two SEDs are associated with more than one 1.2 mm clump.

thumbnail Fig. 10

Dust opacity spectrum utilized in the SED models. It was estimated by Ossenkopf & Henning (1994)a, assuming a Mathis-Rumpl-Nordsieck initial size distribution with thin ice mantles and 105 yr of coagulation at a gas density of 105 cm-3. ahttp://vizier.u-strasbg.fr/viz-bin/VizieR, J/A+A/291/943/table1.

thumbnail Fig. 11

Images of 8.0 μm emission (Spitzer data) toward clumps detected in 1.2 mm continuum emission and associated with IRAS point sources. Contours represent 1.2 mm continuum emission at 0.06, 0.12, 0.24, and 0.48 Jy beam-1 (rms is 0.02 Jy beam-1). IRAS source names are given at the top of each image, and clump numbers are indicated at the peak of 1.2 mm continuum emission. Red circles are centered on the coordinates of IRAS point sources, with diameters of 5′ (an approximation of the angular resolution of IRAS observations at 100 μm).

thumbnail Fig. 12

The SEDs of massive-star forming regions associated with massive clumps detected in 1.2 mm continuum emission; top labels show names of the clumps. Dots with error bars are flux densities estimated from SIMBA, IRAS, and MSX observations. Each SED is modeled with two dust components at different temperatures (physical parameters for each model are in Table 4); drawn lines are the total flux density of the two dust components, and dashed lines are the contributions of each dust component.

thumbnail Fig. 13

Dependence of the SED model on variations in the fitted parameters. Plots show the SED for clump 1 with the best-fit model (see Table 4) and variations in each parameter, for , , , and , when increasing and decreasing the best-fit value.

The SEDs of MSFRs can be modeled as several dust components at different temperatures (e.g. Faúndez et al. 2004; Morales et al. 2009). Because of the shape of the six SEDs, we model them as two dust components at different temperatures, cold and warm components, including the absorption of the radiation by assuming that the warm component is embedded in the cold one. The total flux density, , at frequency ν is approximated by

where

and

The parameters , Ωcold, , and are the flux density, the solid angle, the dust temperature, and the optical depth of the cold component, respectively, and , Ωwarm, , and are the flux density, the solid angle, the dust temperature, and the optical depth of the warm component, respectively. In addition, and are the Planck function at dust temperatures and , respectively. For both components, Ω can be expressed as

where θ is the angular diameter. The optical depths are given by (e.g. Evans 1999)

where and are the dust column densities in g cm-2 for the cold and warm components, and kν is the dust opacity. We use dust opacities estimated by Ossenkopf & Henning (1994) for protostellar cores. They computed opacities considering the Mathis-Rumpl-Nordsieck (MRN) distribution for the diffuse interstellar medium (Draine & Lee 1984) as the initial size distribution for dust, without and with ice (thin and thick), and without and with coagulation (after 105 years for densities between 105–108 cm-3). In the case of regions with ice depletion produced by the heating of central sources, they recommended opacities for the model with thin ice mantles and coagulation for a density of 105 cm-3. These dust opacities are shown in Fig. 10, for frequencies between  ~ 2.3 × 1011 and 1014 Hz.

Thus, in our SED model, each dust component has three values to fit of Tdust, θ, and Ndust. However, the dust column density of the warm component, , is difficult to estimate, because it is more sensitive to the emission in the Rayleigh-Jeans part of the spectrum ( ≪ k   Twarm), where the emission is dominated by the cold component. To overcome this problem, we assume that the two components have equal densities, thus

Given the simplicity of the SED model and the poor sensitivity of the data to , a more realistic density distribution is unnecessary.

To enable a more reliable comparison, angular diameters are converted into spatial diameters, and dust column densities to gas column densities. Thus

and

where and are in radians. In this way, our model has five variables: dust temperatures and sizes for the two components, and gas column density for the cold component.

Table 4 and Fig. 12 display the results of the fits. The mean dust temperatures of each component are 28 ± 5 K (cold) and 200 ± 10 K (warm). The sizes and column densities of the cold component agree with those estimated by 1.2 mm continuum: sizes vary by a factor of 0.7–1.5 and column densities vary by a factor of 0.5–3. Estimates of luminosities, from the integration of SED models, are  >103L. Given the sizes and column densities, the total mass is dominated by the cold component (~99% of the total mass), and is similar to that estimated from the 1.2 mm continuum emission, varying by a factor of 0.8–1.6.

Dust characteristics of clumps associated with MSFRs estimated in this paper are consistent with previous works (e.g. Faúndez et al. 2004; Molinari et al. 2000; Molinari et al. 2008), where the cold dust temperature in regions of massive star formation is  ~30 K.

The SED models have a discrepancy with data in  ~12 μm bands (see Fig. 12), which can be produced by not considering the PAH emission in the SED models (e.g. van Dishoeck 2004), or by an excess in the dust opacities utilized at these wavelengths, affecting the modeled radiation from the hot component that is absorbed by the cold one.

The dependence of SED models on variations in the fitted parameters is shown in Fig. 13, which displays the SED for clump 1, or IRAS 16562-3959, with the best-fit model and models with variations in the fitted parameters , , , , and . For each dust component, variations in its temperature affect both its peak emission frequency and its luminosity, both values increasing as the temperature increases. Variations in either or affect the luminosities of the two components; when or increases, the luminosity of the cold dust component increases, whereas radiation absorption of the warm component also increases, reducing its luminosity. When increases, the luminosity also increases.

5. Conclusions

We have robustly detected the whole of the GMC G345.5+1.0 in 1.2 mm continuum emission at a spatial resolution of 0.2 pc, and conclude that:

  • The GMC is fragmented. We have identified 201 clumps, whichhave beam-corrected diameters between 0.2 and0.6 pc, masses between 3.0 and1.3 × 103   M, and densities between 5 × 103 and 4 × 105 cm-3.

  • The total mass of the clumps is  ~1.2 × 104   M, and after comparing with the total mass of the GMC of  ~6.5 × 105   M, we inferred that the efficiency in forming these clumps is  ~0.02.

  • The clump mass distribution is well-fitted by a power law dN/dM ∝ M − α, where the spectral mass index α is 1.7 ± 0.1. The total mass is dominated by massive clumps, but the population is dominated by clumps with low masses.

  • The spectral mass index of the clump mass distribution is different from that of the stellar IMF. Thus our detected clumps are probably not the direct progenitors of single stars.

  • Comparing with MSX and Spitzer (IRAC-bands) observations, 20% of the clumps have an infrared counterpart in all MSX and Spitzer bands. The remaining clumps,  ~80%, are considered to have no counterpart at infrared wavelengths. The percentage of detection is a lower limit to the number of clumps forming stars, while the percentage of no detections is an upper limit to the number of clumps that are not forming stars.

  • Regions of massive-star formation within the cloud, associated with IRAS point sources, have SEDs that can be modeled with two dust components at different mean temperatures of 28 ± 5 and 200 ± 10 K.


Acknowledgments

C.L. acknowledges partial support from the GEMINI-CONICYT FUND, project number 32070020, and ESO-University of Chile Student Fellowship. This work was supported by the Chilean Center for Astrophysics FONDAP No. 15010003 and by Center of Excellence in Astrophysics and Associated Technologies PFB 06.

References

  1. Alvarez, H., May, J., & Bronfman, L. 1990, ApJ, 348, 495 [NASA ADS] [CrossRef] [Google Scholar]
  2. Bains, I., Wong, T., Cunningham, M., et al. 2006, MNRAS, 367, 1609 [NASA ADS] [CrossRef] [Google Scholar]
  3. Ballesteros-Paredes, J., Gazol, A., Kim, J., et al. 2006, ApJ, 637, 384 [NASA ADS] [CrossRef] [Google Scholar]
  4. Ballesteros-Paredes, J., Klessen, R. S., Mac Low, M.-M., & Vázquez-Semadeni, E. 2007, Protostars and Planets V, ed. B. Reipurth, D. Jewitt, & K. Keil (University of Arizona Press), 63 [Google Scholar]
  5. Beltrán, M. T., Brand, J., Cesaroni, R., et al. 2006, A&A, 447, 221 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  6. Bohlin, R. C., Savage, B. D., & Drake, J. F. 1978, ApJ, 224, 132 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bonnell, I. A., Larson, R. B., & Zinnecker, H. 2007, Protostars and Planets V, ed. B. Reipurth, D. Jewitt, & K. Keil (University of Arizona Press), 149 [Google Scholar]
  8. Bronfman, L., Alvarez, H., Cohen, R. S., & Thaddeus, P. 1989, ApJ, 71, 481 [Google Scholar]
  9. Bronfman, L., Nyman, L.-Å., & May, J. 1996, A&A, 115, 81 [Google Scholar]
  10. Bronfman, L., Casassus, S., May, J., & Nyman, L.-Å. 2000, A&A, 358, 521 [NASA ADS] [Google Scholar]
  11. Chavarría, L. A., Allen, L. E., Hora, J. L., Brunt, C. M., & Fazio, G. G. 2008, ApJ, 682, 445 [NASA ADS] [CrossRef] [Google Scholar]
  12. Dame, T. M., Elmegreen, B. G., Cohen, R. S., & Thaddeus, P. 1986, ApJ, 305, 892 [NASA ADS] [CrossRef] [Google Scholar]
  13. Draine, B. T., & Lee, H. M. 1984, ApJ, 285, 89 [Google Scholar]
  14. Evans, N. J. 1999, ARA&A, 37, 311 [NASA ADS] [CrossRef] [Google Scholar]
  15. Faúndez, S., Bronfman, L., Garay, G., et al. 2004, A&A, 426, 97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Garay, G., Faúndez, S., Mardones, D., et al. 2004, ApJ, 610, 313 [NASA ADS] [CrossRef] [Google Scholar]
  17. Grabelsky, D. A., Cohen, R. S., Bronfman, L., & Thaddeus, P. 1988, ApJ, 331, 181 [NASA ADS] [CrossRef] [Google Scholar]
  18. Hildebrand, R. H. 1983, QJRAS, 24, 267 [NASA ADS] [Google Scholar]
  19. Hill, T., Burton, M. G., Minier, V., et al. 2005, MNRAS, 363, 405 [NASA ADS] [CrossRef] [Google Scholar]
  20. Hunter, S. D., Bertsch, D. L., Catelli, J. R., et al. 1997, ApJ, 481, 205 [NASA ADS] [CrossRef] [Google Scholar]
  21. Klessen, R. S., Burkert, A., & Bate, M. R. 1998, ApJ, 501, 205 [Google Scholar]
  22. Kroupa, P. 2002, Science, 295, 82 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  23. Lada, C. J., Alves, J. F., & Lombardi, M. 2007, Protostars and Planets V, ed. B. Reipurth, D. Jewitt, & K. Keil (University of Arizona Press), 3 [Google Scholar]
  24. Li, Y., Mac Low, M.-M., & Klessen, R.S. 2005, ApJ, 626, 823 [NASA ADS] [CrossRef] [Google Scholar]
  25. Lumsden, S. L., Hoare, M. G., Oudmaijer, R. D., & Richards, D. 2002, MNRAS, 336, 621 [NASA ADS] [CrossRef] [Google Scholar]
  26. Molinari, S., Brand, J., Cesaroni, R., & Palla, F. 2000, A&A, 355, 617 [NASA ADS] [Google Scholar]
  27. Molinari, S., Pezzuto, S., Cesaroni, R., et al. 2008, A&A, 481, 345 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Mookerjea, B., Kramer, C., Nielbock, M., & Nyman, L.-Å. 2004, A&A, 426, 119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Morales, E. F. E., Mardones, D., Garay, G., et al. 2009, ApJ, 698, 488 [NASA ADS] [CrossRef] [Google Scholar]
  30. Motte, F., André, P., & Neri, R. 1998, A&A, 336, 150 [Google Scholar]
  31. Motte, F., Bontemps, S., Schilke, P., et al. 2007, A&A, 476, 1243 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Muñoz, D. J., Mardones, D., Garay, G., & Rebolledo, D. 2007, ApJ, 668, 906 [NASA ADS] [CrossRef] [Google Scholar]
  33. Ossenkopf, V., & Henning, Th. 1994, A&A, 291, 943 [NASA ADS] [Google Scholar]
  34. Panagia, N. 1973, ApJ, 78, 929 [Google Scholar]
  35. Sanders, D. B., Scoville, N. Z., & Solomon, P. M. 1985, ApJ, 289, 373 [NASA ADS] [CrossRef] [Google Scholar]
  36. Solomon, P. M., Rivolo, A. R., Barrett, J., & Yahil, A. 1987, ApJ, 319, 730 [NASA ADS] [CrossRef] [Google Scholar]
  37. Williams, J. P., & McKee, C. F. 1997, ApJ, 476, 166 [NASA ADS] [CrossRef] [Google Scholar]
  38. Williams, J. P., De Geus, E. J., & Blitz, L. 1994, ApJ, 428, 693 [NASA ADS] [CrossRef] [Google Scholar]
  39. Williams, J. P., Blitz, L., & McKee, C. F. 2000, Protostars and Planets IV, ed. V. Mannings, A. P. Boss, & S. S. Russell (University of Arizona Press), 97 [Google Scholar]
  40. van Dishoeck 2004, ARA&A, 42, 119 [NASA ADS] [CrossRef] [Google Scholar]
  41. Wood, D. O. S., & Churchwell, E. 1989, ApJ, 340, 265 [NASA ADS] [CrossRef] [Google Scholar]
  42. Zinnecker, H., & York, H. 2007, ARA&A, 45, 481 [NASA ADS] [CrossRef] [Google Scholar]

Online material

Table 5

Properties of identified clumps in the GMC G345.5+1.0.

All Tables

Table 1

Summary of main characteristics of G345.5+1.0.

Table 2

List of IRAS point sources along the line-of-sight to the GMC G345.5+1.0 observed in the CS(2–1) line by Bronfman et al. (1996).

Table 3

Summary of the physical properties of the identified clumps.

Table 4

SED models for MSFRs associated with IRAS point sources and massive clumps detected in 1.2 mm continuum emission.

Table 5

Properties of identified clumps in the GMC G345.5+1.0.

All Figures

thumbnail Fig. 1

Spectra of the 12CO(1–0) line emission integrated over the whole area of the GMC G345.5+1.0 (between 3445 and 3465 in Galactic longitude and between 02 and 20 in Galactic latitude; Bronfman et al. 1989). Emission from the GMC under study is between –33 and  − 2 km s-1 with a peak at  − 13.6 km s-1.

In the text
thumbnail Fig. 2

Map of the GMC G345.5+1.0 in 1.2 mm continuum emission. Observations were made using SIMBA, with a spatial resolution of 0.2 pc. They cover 12 in the sky, with an rms of 20 mJy beam-1.

In the text
thumbnail Fig. 3

Integrated 12CO(1–0) emission toward GMC G345.5+1.0 in different LSR velocity ranges (Bronfman et al. 1989). Top: from  −200 to  −33 km s-1. Middle: from  −33 to  −2 km s-1. Bottom: from  −2 to 50 km s-1. Magenta circles mark spatial and spectral positions of detections in the CS(2–1) line toward MSFRs (Table 2). Contours represent 1.2 mm continuum emission at 5 times rms,  ~0.1 Jy beam-1.

In the text
thumbnail Fig. 4

IRAS point sources along the line-of-sight of the GMC G345.5+1.0 observed in the CS(2–1) line (Bronfman et al. 1996). Gray scale represents 1.2 mm continuum emission. Arrows mark CS(2–1) line observations, and crosses indicate observations without detection (see Table 2).

In the text
thumbnail Fig. 5

Line profiles toward the IRAS point sources 17008-4040 and 17009-4042: top image, 12CO(1–0) line profiles (Bronfman et al. 1989), over a map of their integrated emissions (color scale) and with contours of 1.2 mm continuum emission; middle and bottom images, CS(2–1) line profiles (their observing positions are indicated as black dots in the top image; Bronfman et al. 1996).

In the text
thumbnail Fig. 6

Mass distribution of identified clumps in G345.5+1.0, plotted as dN/dlog (M/M) versus mass, where dN/dlog (M/M) is approximated by the number of clumps ΔN within a logarithmic mass interval Δlog (M/M). Here, Δlog (M/M) is constant,  ~0.44. Error bars are estimated by . The arrow shows the clump mass limit,  ~2.9 M. The continuous line represents the mass distribution fit with dN/dlog (M/M) ∝ M1 − α, where the spectral mass index α is 1.7 ± 0.1 for masses between  ~10 and 1.3 × 103M. The dashed line displays the spectral mass index for the stellar initial mass function (IMF) of the solar neighborhood for stellar masses greater than 0.5 M (e.g. Kroupa 2002); the line is forced to pass through the peak of the clump mass distribution.

In the text
thumbnail Fig. 7

Mass distribution of identified clumps in G345.5+1.0 with masses higher than 100 M, plotted as dN/dlog (M/M) versus mass, where dN/dlog (M/M) is approximated by the number of clumps ΔN within a logarithmic mass interval Δlog (M/M). Here, Δlog (M/M) is constant,  ~0.37. Error bars are estimated by . The continuous line represents the mass distribution fit with dN/dlog (M/M) ∝ M1 − α, where the spectral mass index α is 1.6 ± 0.1 for masses between  ~100 and 1.3 × 103M.

In the text
thumbnail Fig. 8

Mass versus diameter for the clumps detected toward the GMC G345.5+1.0 in 1.2 mm continuum emission with reliable diameters. Filled circles indicate clumps detected in infrared MSX and Spitzer bands. Open circles indicate clumps that do not have an infrared counterpart. Triangles indicate clumps associated with MSFR-IRAS sources, which have luminosities  >103L. Boxes indicate clumps associated with MSX sources that satisfy MYSO candidate criterion (Lumsden et al. 2002). Arrows mark detection limits for masses (~2.9 M) and diameters (~0.2 pc). The continuous line indicates the detectable mass as a function of diameter (sensitivity limit), considering an intensity limit of five rms (~0.1 Jy beam-1). Dotted lines indicate mean densities at 103, 104, 105 and 106 cm-3. The densities are computed assuming a mean molecular weight of μ = 2.29.

In the text
thumbnail Fig. 9

Image in 21.34 μm from MSX observations toward GMC G345.5+1.0 with contours of 1.2 mm continuum emission at three times rms,  ~ 0.06 Jy beam-1.

In the text
thumbnail Fig. 10

Dust opacity spectrum utilized in the SED models. It was estimated by Ossenkopf & Henning (1994)a, assuming a Mathis-Rumpl-Nordsieck initial size distribution with thin ice mantles and 105 yr of coagulation at a gas density of 105 cm-3. ahttp://vizier.u-strasbg.fr/viz-bin/VizieR, J/A+A/291/943/table1.

In the text
thumbnail Fig. 11

Images of 8.0 μm emission (Spitzer data) toward clumps detected in 1.2 mm continuum emission and associated with IRAS point sources. Contours represent 1.2 mm continuum emission at 0.06, 0.12, 0.24, and 0.48 Jy beam-1 (rms is 0.02 Jy beam-1). IRAS source names are given at the top of each image, and clump numbers are indicated at the peak of 1.2 mm continuum emission. Red circles are centered on the coordinates of IRAS point sources, with diameters of 5′ (an approximation of the angular resolution of IRAS observations at 100 μm).

In the text
thumbnail Fig. 12

The SEDs of massive-star forming regions associated with massive clumps detected in 1.2 mm continuum emission; top labels show names of the clumps. Dots with error bars are flux densities estimated from SIMBA, IRAS, and MSX observations. Each SED is modeled with two dust components at different temperatures (physical parameters for each model are in Table 4); drawn lines are the total flux density of the two dust components, and dashed lines are the contributions of each dust component.

In the text
thumbnail Fig. 13

Dependence of the SED model on variations in the fitted parameters. Plots show the SED for clump 1 with the best-fit model (see Table 4) and variations in each parameter, for , , , and , when increasing and decreasing the best-fit value.

In the text

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.