BREAKDOWN OF KENNICUTT–SCHMIDT LAW AT GIANT MOLECULAR CLOUD SCALES IN M33

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Published 2010 September 24 © 2010. The American Astronomical Society. All rights reserved.
, , Citation Sachiko Onodera et al 2010 ApJL 722 L127 DOI 10.1088/2041-8205/722/2/L127

2041-8205/722/2/L127

ABSTRACT

We have mapped the northern area (30' × 20') of a Local Group spiral galaxy M33 in 12CO(J = 1–0) line with the 45 m telescope at the Nobeyama Radio Observatory. Along with Hα and Spitzer 24 μm data, we have investigated the relationship between the surface density of molecular gas mass and that of star formation rate (SFR) in an external galaxy (Kennicutt–Schmidt law) with the highest spatial resolution (∼80 pc) to date, which is comparable to scales of giant molecular clouds (GMCs). At positions where CO is significantly detected, the SFR surface density exhibits a wide range of over four orders of magnitude, from ΣSFR ≲ 10−10 to ∼10−6M yr−1 pc−2, whereas the $\Sigma _{\rm H_2}$ values are mostly within 10–40 M pc−2. The surface density of gas and that of SFR correlate well at an ∼1 kpc resolution, but the correlation becomes looser with higher resolution and breaks down at GMC scales. The scatter of the ΣSFR$\Sigma _{\rm H_2}$ relationship in the ∼80 pc resolution results from the variety of star-forming activity among GMCs, which is attributed to the various evolutionary stages of GMCs and to the drift of young clusters from their parent GMCs. This result shows that the Kennicutt–Schmidt law is valid only in scales larger than that of GMCs, when we average the spatial offset between GMCs and star-forming regions, and their various evolutionary stages.

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1. INTRODUCTION

Understanding the formation process of massive stars in galaxies is one of the key issues in modern astronomy because massive stars play essential roles in the evolution of galaxies. Because stars are formed from molecular gas, the study of molecular gas in galaxies provides us with important clues to the fundamental physical processes of massive star formation in galaxies. Observational studies of galaxies on global scales have shown that the surface density of star formation rate (SFR) and that of cold gas obey a simple relation, ΣSFR ∝ Σngas, where ΣSFR is the SFR per unit area and Σgas is the surface density of gas. This relationship is known as the Kennicutt–Schmidt law (hereafter, K-S law: Schmidt 1959; Kennicutt 1998). It has been shown that the disk-averaged surface density of SFR is much better correlated with that of molecular gas $\Sigma _{\rm H_2}$ than with that of total (H i + H2) gas $\Sigma _{\rm H\,{\mathsc i} + H_2}$ (e.g., Wong & Blitz 2002).

Because almost all of the existing studies on the K-S law have been carried out based on CO observations of kiloparsec scale resolution or disk-averaged data (e.g., Komugi et al. 2005), not much is known about the validity of the K-S law for smaller molecular structures such as giant molecular associations (GMAs) and giant molecular clouds (GMCs). Recently, Kennicutt et al. (2007) investigated the K-S law in M51 down to a linear scale of 500 pc and cloud mass scales of 106–107M. They found that the nonlinear K-S law can be extended down to that scale. Bigiel et al. (2008) revealed that the K-S law is applicable at the 750 pc scale for seven spiral galaxies, and that it holds down to the 250 pc scale in M51. Verley et al. (2010) have shown that a loose correlation exists even in the 180 pc scale in M33, where a strong correlation was found on the global scale (Heyer et al. 2004). Because most of the molecular gas is confined within molecular clouds and virtually all of the GMCs are sites of star formation in the Milky Way, GMCs play an important role in star formation. It is important to understand how star formation at GMC scales is linked to the K-S law, which is valid for kiloparsec scales.

One way to address this issue is to conduct a high spatial resolution mapping of entire molecular gas disks in the nearest galaxies. The recent improvements in the resolution, sensitivity, and observation efficiency of radio telescopes have made such observational studies feasible.

M33 is the best target for this purpose. It is one of the nearest spiral galaxies (D = 840 kpc; Freedman et al. 1991) in which individual GMCs can be resolved using present-day instruments. Furthermore, because its disk is moderately face-on (i = 51°), it is easy to study the molecular gas in relation to star formation.

Because of these desirable characteristics, M33 has been the subject of many large-scale studies of GMCs. Pioneering surveys of the central 1.7 kpc region of M33 were conducted with the 12 m telescope at the National Radio Astronomy Observatory (Wilson & Scoville 1989) and the Owens Valley Radio Observatory interferometer (Wilson & Scoville 1990). They revealed that the properties of GMCs (velocity width, diameter, peak brightness temperature, and mass) were very similar to those in the Milky Way galaxy. More recently, a CO (J = 1–0) all-disk survey was performed with the Berkeley–Illinois–Maryland Association (BIMA; Engargiola et al. 2003), which identified 148 GMCs with masses over 1.5 × 105M across the star-forming disk. The BIMA survey recovered only 20% of the CO flux in M33 because of the missing short spacings of the interferometer (Heyer et al. 2004); thus, Rosolowsky et al. (2007) performed additional CO (J = 1–0) observations with the 45 m telescope at the Nobeyama Radio Observatory (NRO) and combined them with the existing data obtained from BIMA and the 14 m telescope at the Five College Radio Astronomy Observatory. They obtained the CO (J = 1–0) map in the inner ${\sim} 15^{\prime }\times 15^{\prime }\, (\sim \!3.7\; \rm kpc)$ region at a resolution of $20^{\prime \prime }\,({\sim} 80\; \rm pc)$.

However, these observations are still insufficient to understand the overall nature of the GMCs in M33 because they do not cover the entire disk and they possess inhomogeneities due to multi-field interferometric observations. Accordingly, a homogeneous wide-area single-dish mapping with a high spatial resolution and high sensitivity is required in order to determine the molecular gas properties of the entire disk. In order to achieve this purpose, it is effective to adopt the on-the-fly (OTF) mapping technique using a single-dish telescope having a large aperture. We performed an M33 all-disk 12CO(J = 1–0) survey with the 45 m telescope as an NRO legacy project to study the properties and evolution of GMCs and star formation within the entire galaxy. In this paper, we investigate the K-S law in the GMC scale, which is the highest resolution (∼80 pc) to date, as an initial result of this project.

2. OBSERVATIONS AND DATA

We observed the 12CO (J = 1–0) lines toward the north in a 30' × 20' ($\rm \sim \!7.3\; \rm kpc\times 4.9\; \rm kpc$) region of M33; the observation region covered the galactic center and the three major H ii regions: NGC 604, NGC 595, and IC 133. The mapping area is shown in Figure 1.

Figure 1.

Figure 1. Left: BVHα image of M33 taken with SUBARU Suprime-Cam: courtesy of V. Vansevicius, S. Okamoto, and N. Arimoto. The rectangle represents our mapping area of CO (J = 1–0) (30' × 20'). Right: smoothed and clipped integrated intensity map of the CO (J = 1–0) lines. The contour levels are 1, 2, 4, 6, and $8\;\rm K\; \rm km\;s^{-1}$, respectively.

Standard image High-resolution image

The observations were carried out from 2008 January to April, with the 45 m telescope at NRO. The beam size of the telescope (HPBW) was 15'' for the rest frequency of the 12CO (J = 1–0) line (115.271204 GHz). We used the 25 BEam Array Receiver System (BEARS; Sunada et al. 2000). Because BEARS is a double sideband receiver, we measured the sideband ratios of each beam of BEARS by observing a bright standard source NGC 7538 using both BEARS and a single-beam receiver S100 equipped with a single sideband (SSB) filter. The errors in the scaling factors of BEARS were smaller than ∼20%. The main beam efficiency measured with S100 was ηMB = 0.32 ± 0.02 at 115 GHz. The typical system temperature was ∼700 K (SSB). We used digital autocorrelators as back ends. The spectrometers have 1024 channels covering a bandwidth of $512 \; \rm MHz$ with a frequency resolution of 1.0 MHz, which corresponds to $1332\; \rm km\;s^{-1}$ and $2.6\; \rm km\;s^{-1}$. The chopper-wheel technique was employed to calibrate the antenna temperature T*A. Hereafter, all the CO intensity measurements are mentioned in the TMB (≡T*AMB) scale.

The observations were performed using the OTF observation mode (Sawada et al. 2008). Throughout the observations, the data were sampled every 0.1 s. The emission-free "OFF" points were taken at an offset of 30' from the center. We checked the pointing accuracy every hour with a five-point observation of a SiO maser source IRC+30021 with a $43\; \rm GHz$ SIS receiver (S40). We excluded all the data in the observation sequence that had pointing errors larger than 7farcs5 or wind speed $V>10\; \rm m\;s^{-1}$ to avoid systematic intensity loss due to pointing errors. After these data screenings, the net integration time was determined to be approximately 130 hr.

The data reductions were made with the OTF reduction software package NOSTAR, which was implemented by the NRO. The data were convolved with a Gaussian-tapered Jinc function to create the spectral data cube. The grid spacing was taken as 7farcs5 and the spatial resolution of the final map was 19farcs3. Finally, the baselines were fitted and subtracted from the data cube. The velocity resolution of the final cube is 2.5 km s-1. The rms noise in a velocity channel was 130 mK. The rms noise in the integrated intensity map was $1.6\;\rm K\; \rm km\;s^{-1}$, which corresponds to a mass sensitivity of 4.8 M pc−2.

3. RESULTS

3.1. CO (J = 1–0) Map

Figure 1 shows the CO (J = 1–0) integrated intensity map of our observation field for M33. It reveals the clumpy nature of the molecular gas distribution. The size of these clumps ranges from $\lesssim \!100\; \rm pc$ (comparable to our beam size) to $500\; \rm pc$, which corresponds to that of GMCs and/or GMAs. The northern arm that can be traced from (α,  δ) = ($\rm 1^h33^m40^s$, +30°46'0'') to ($\rm 1^h34^m30^s$, +30°49'0'') is prominent.

The surface mass density of molecular hydrogen was estimated by applying the 12CO-to-H2 conversion factor, $X_{\rm CO}=3\times 10^{20} \;\rm cm^{-2}\;\rm (K\; \rm km\;s^{-1})^{-1}$ (Wilson & Scoville 1990) as follows:

Equation (1)

where i is the inclination angle of the galaxy (i = 51°).

3.2. Star Formation Rate

We calculated the SFR using the relation between the extinction-corrected Hα line emission and the SFR, as presented in Calzetti et al. (2007):

Equation (2)

in turn leading to

Equation (3)

where the luminosities are in erg s−1 and L (24 μm) is expressed as ν L(ν). The unit of $\Sigma (\rm H\alpha)_{\rm obs}$ and Σ(24 μm) is $\rm erg\; s^{-1}\; cm^{-2}$.

We use the Hα image of M33 as given by Hoopes & Walterbos (2000). It was obtained using the 0.6 m Burrell–Schmidt telescope at the Kitt Peak National Observatory. The dimensions of the CCD are 2048 × 2048 with a pixel size of 2farcs03 and the total field of view is approximately 70' × 70'. The sensitivity is $0.8 \times 10^{-17}\; \rm erg\; s^{-1}\; cm^{-2}\; arcsec^{-2}$ (Hoopes et al. 2001).

We retrieved the 24 μm Multiband Imaging Photometer (Rieke et al. 2004) data sets (AORs 3647744, 3648256, 3648512, 3648768) of the basic calibrated data (BCD) created by the Spitzer Science Center (SSC) pipeline from the Spitzer Space Telescope (Werner et al. 2004) data archive. The mosaics were assembled by gathering all the BCDs except the first data frames of each observation because they have shorter integration times. The individual calibrated frames were processed using MOPEX (Makovoz & Khan 2005) for cosmic-ray rejection and background matching was applied to overlapping fields of view. The final dimension of the each mosaic was 21' × 89'. After we removed the zodiacal light and the noisy pixels near the edges by trimming, the four images were aligned with their coordinates and combined. The FWHM of point-spread function is 5farcs7.

The Hα and 24 μm images were convolved into the same angular resolution as the CO(J = 1–0) data (19farcs3), regridded to 7farcs5 per pixel, and trimmed to match the CO (J = 1–0) map. The rms noise is $5\times \rm 10^{-7}\,erg\,s^{-1}\,cm^{-2}$ in the Hα map and $3\times \rm 10^{-5}\,erg\,s^{-1}\,cm^{-2}$ in the 24 μm map. The resultant SFR image is shown in Figure 2 with the overlaid CO (J = 1–0) contours. The rms noises in the Hα and 24 μm maps result in a ΣSFR error and a sensitivity limit of $5\times 10^{-11}{\it \,M_\odot }\,\rm \,yr^{-1}\,pc^{-2}$.

Figure 2.

Figure 2. CO integrated intensity map (contour) overlaid on the SFR map convolved into 19farcs3 resolution. The contour levels are 1, 2, 4, 8, and 16 $\;\rm K\; \rm km\;s^{-1}$. The circle at bottom left represents the beam size.

Standard image High-resolution image

Figure 2 reveals a striking variety of star formation properties. In regions where CO emission is detected, there is a large dispersion in the values of ΣSFR of over four orders of magnitude. For example, the most massive GMC at (α, δ) = ($\rm 1^h33^m9^s\!\!.\!\,6, +30^\circ 49^{\prime }7\farcs 3$) has little star formation activity despite the large amount of molecular gas it contains. In the three major star-forming regions (NGC 604, NGC 595, and IC 133), there is a considerable difference in the amount of molecular gas associated with these star-forming regions. NGC 604 has its associated GMCs at the same position, NGC 595 has the ones offset from it, and moreover, none of the GMCs are associated with IC 133.

4. DISCUSSION

Figure 3 presents the relationship between the SFR and molecular hydrogen surface densities for four angular resolutions: 19farcs3 (∼80 pc), 60'' (${\sim} 240\; \rm pc$), 120'' (${\sim} 500\; \rm pc$), and 240'' (${\sim} 1\; \rm kpc$). The panel of ∼80 pc resolution is the K-S law plot with the highest spatial resolution for an extra galaxy to date. Figure 3 shows that apparent correlations exist between $\Sigma _{\rm H_2}$ and ΣSFR at the ${\sim} 1\; \rm kpc$ resolution, as already found in the disk-averaged data of M33 (Heyer et al. 2004). The best least-squares fit for the ${\sim} 1\; \rm kpc$ resolution data with $\Sigma _{\rm H_2}>2\sigma$ is

Equation (4)

We have fitted the power law only to the data at the 1 kpc resolution because the data at the other resolutions have a significant selection bias due to the omission of data points having $\rm \Sigma _{H_2}<2\sigma$. The selection bias makes the correlation slopes appear steeper than real.

Figure 3.

Figure 3. Star formation rate per unit area (ΣSFR) vs. surface density of $\rm H_2$ gas ($\Sigma _{\rm H_2}$) for four different resolutions: (a) 19farcs3 (∼80 pc), (b) 60'' (${\sim} 240\; \rm pc$), (c) 120'' (${\sim} 500\; \rm pc$), and (d) 240'' (${\sim} 1\; \rm kpc$). The broken red lines in each panel represent $\Sigma _{\rm H_2}=2\sigma$ of the maps. The line in the lower right panel represents the best least-squares fit to the ${\sim} 1\; \rm kpc$ resolution data; $\log \Sigma _{\rm SFR}=(1.18\pm 0.11)\log \Sigma _{\rm H_2}-(9.38\pm 0.05)$. The data points with $\Sigma _{\rm H_2}<2\sigma$ are not used for the fitting.

Standard image High-resolution image

Figure 3 also shows that the correlation becomes looser with higher resolution, and it is hardly visible in the plot for ∼80 pc resolution. Although most $\Sigma _{\rm H_2}$ values lie within $10\hbox{--}40\,M_\odot \; \rm pc^{-2}$ where $\rm \Sigma _{H_2}>2\sigma$, ΣSFR values exhibit a wide range of over four orders of magnitude, from ≲10−10 to ∼10−6M yr−1 pc−2, indicating that the K-S law becomes invalid at this resolution. That is, the K-S law is valid only for averaging SFR and gas mass in large scales of several hundred parsecs. Our resolution, ∼80 pc is smaller than these scales.

We have examined the effects of stochasticity on the estimation of SFR due to small sampling at high spatial resolutions. The initial mass function is not fully populated when smaller regions that contain only a few stars in clusters are sampled. Thus, in regions with weaker extinction-corrected Hα emission, this effect may lead to significant scatter in the estimated ΣSFR. We have estimated the significance of this effect on the 80 pc resolution data. For instance, $\Sigma _{\rm SFR}=10^{-9}\,M_\odot \;\rm yr^{-1}\; \rm pc^{-2}$ corresponds to the total flux of extinction-corrected Hα emission having $L({\rm H\alpha })_{\rm corr}=6.6\times 10^{35}\rm \; erg\; s^{-1}$ within the 80 pc beam. Assuming a gas temperature of $10^4\;\rm K$ and an electron density of $100\rm \, cm^{-3}$ in H ii regions, the ionizing photon flux is given by $Q(\rm H^0)=7.3\times 10^{11} {\it L}(\rm H\alpha)_{\rm corr}\,s^{-1}$ (Kennicutt 1988; Brocklehurst 1971). Therefore, the corresponding total ionizing photon flux is $Q(\rm H^0)=4.9\times 10^{48}\; \rm s^{-1}$. According to Figure 3 in Cerviño et al. (2002), $Q(\rm H^0)$ per unit mass varies with cluster age from 1047 to 1044 s−1M−1. The ratio of the error in $Q(\rm H^0)$ to the mean value, σ[Q(H0)]/Q(H0), is ∼10 M−1/2 (the ratio can vary by a factor ∼2 depending on the cluster age), where M is the cluster mass. Thus, the cluster mass required to produce the ionizing flux mentioned above is estimated to be 50 to 5 × 104M, which results in σ[Q(H0)]/Q(H0) ≈ 1 to 0.04. In summary, in the 80 pc scale, the error due to the effect of stochasticity at $\Sigma _{\rm SFR}=10^{-9}\,M_\odot \;\rm yr^{-1}\; \rm pc^{-2}$ is $\approx 0.04\hbox{--} 1\times 10^{-9}\,M_\odot \;\rm yr^{-1}\; \rm pc^{-2}$. The error decreases with larger ΣSFR and lower spatial resolutions. For example, the maximum σ[Q(H0)]/Q(H0) in the 80 pc scale is 1, 0.4, and 0.1, and in the 240 pc scale it is 0.5, 0.1, and 0.05 for ΣSFR = 10−9, 10−8, and $10^{-7} \,M_\odot \;\rm yr^{-1}\; \rm pc^{-2}$, respectively. Although the error is significant at smaller ΣSFR at the 80 pc resolution, it cannot explain the scatter of over four orders of magnitude in ΣSFR.

Now, we consider the possible causes for the breakdown of the K-S law at high spatial resolutions. In grand design spiral galaxies, we often see a systematic offset between the molecular gas arms and the star-forming arms as a result of the density wave and the time delay between the accumulation of gas and its ionization by newborn stars (e.g., Egusa et al. 2009). If such an offset exists in M33, it may result in the breakdown of the K-S law when we observe the galaxy with a spatial resolution comparable to the offset. However, there is no such systematic offset between the CO and the star-forming arm in M33, as shown in Figure 2. Therefore, the offset can be ruled out as a cause.

In the Milky Way, young clusters recede from their parent GMCs with velocities of at least ${\sim} 10\; \rm km\;s^{-1}$ (Leisawitz et al. 1989). As they evolve, the separation between clusters and their parent GMCs becomes significant and is expected to be ${\sim} 100\; \rm pc$ at a cluster age of ${\sim} 10\,\rm Myr$. This drift scale is comparable to our resolution, ∼80 pc, and thus, the separation could well lead to the scatter in our plot. However, the existence of H ii regions without neighboring GMCs and GMCs without neighboring H ii regions in M33, such as the ones mentioned in the previous section, cannot be explained by drift alone.

The other cause is the difference in evolutionary stages. As we have shown in Figure 2, there is a large diversity in the star formation activity among GMCs. Some GMCs in the Milky Way are at least partially consumed and dissociated by newborn clusters (Leisawitz et al. 1989). Such GMCs are shown in Figure 2 (i.e., the GMC at (α, δ) = ($\rm 1^h34^m17^s$, $\rm 30^d52^m00^s$)). The diversity among GMCs arises from the evolutionary stages that each GMC goes through, as has been shown in the most active star-forming region NGC 604 (Miura et al. 2010). Chen et al. (2010) studied the relation between ΣSFR and $\Sigma _{\rm H\,{\mathsc i} + H_2}$ in LMC for six GMCs in different stages of evolution, which are determined from the association of the underlying stellar population. They also found a large scatter in ΣSFR, which exhibits a range of two orders of magnitude whereas the $\Sigma _{\rm H\,{\mathsc i} + H_2}$ lies within a factor of two. Kawamura et al. (2009) classified molecular clouds in the LMC into three types according to the activities of massive star formation: those with no signature of massive star formation, those with relatively small H ii region(s), and those with both H ii region(s) and young stellar cluster(s). They concluded that there is a sequential relation between these three types. That is, molecular clouds are first formed, then stars are formed in the molecular clouds, and finally the newborn stars consume and dissociate the surrounding gas. This scenario is also applicable to M33, as can be shown in NGC 604 by comparing it with warm/dense gas traced by CO (J = 3–2) lines (Tosaki et al. 2007).

Note that the extinction-corrected Hα emission is not really an appropriate tracer of SFR at resolutions as high as ∼80 pc, because there is a spatial displacement between ionizing stars and the surrounding H ii gas. According to Relaño & Kennicutt (2009), the displacement is ${\sim} 10\; \rm pc$ to $50\; \rm pc$ in M33, and there is a radial gradient of emission from the center to the boundary of H ii regions; in the order of ultraviolet, Hα, 24 μm, and CO emission. Because of the radial gradient, the separations between ionizing stars and CO are larger than that between Hα and CO. Thus, the "real" SFR would produce an even larger scatter in the K-S law plot for the ∼80 pc resolution. The contribution of dust heating from older stars to the 24 μm emission can also be responsible for the scatter, although its effect is minor.

Owing to our spatial resolution, which is comparable in scale to that of GMCs, we have clearly revealed the variety in the evolutionary stages among GMCs. The different evolutionary stages of GMCs are the main cause of deviations from the K-S law. The higher the spatial resolution, the more individual star-forming regions and molecular clouds we can resolve, and the larger the deviations seen in the K-S law plots.

5. SUMMARY

We conducted OTF mapping of the northern part of M33 (30' × 20') in 12CO (J = 1–0) lines with the 45 m telescope at the NRO. We tested the relationship between the surface density of molecular gas mass and the SFR in an external galaxy with the highest resolution (∼80 pc) to date. We found that the star-forming activities in the GMC scale exhibit a wide range of over four orders of magnitude at positions where CO is significantly detected, such that ΣSFR ≲ 10−10 to ${\sim} 10^{-6}\,M_\odot \;\rm yr^{-1}\,\; \rm pc^{-2}$, whereas their $\Sigma _{\rm H_2}$ values are mostly in the range of $10\hbox{--}40\,M_\odot \; \rm pc^{-2}$. We also found that the K-S law of H2 gas, $\Sigma _{\rm SFR}\propto \Sigma _{\rm H_2}^n$, becomes invalid at GMC scales (∼80 pc). The breakdown of the K-S law is attributed to the difference in the evolutionary stages of GMCs and the drift of newborn clusters from their parent GMCs that become apparent at this spatial resolution.

We thank the referee, Robert Kennicutt, for his prompt report and for his helpful comments, which improved our work. We also thank Rene Walterbos for providing us with the Hα image of M33. S.O. was financially supported by the Global COE Program "The Physical Sciences Frontier," MEXT, Japan. The Nobeyama Radio Observatory is a branch of the National Astronomical Observatory of Japan, National Institutes of Natural Sciences.

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10.1088/2041-8205/722/2/L127