Open Access
Issue
A&A
Volume 699, July 2025
Article Number A369
Number of page(s) 23
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/202554327
Published online 22 July 2025

© The Authors 2025

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article is published in open access under the Subscribe to Open model.

Open Access funding provided by Max Planck Society.

1 Introduction

Massive stars play an important role in shaping the interstellar medium (ISM) of a galaxy through their strong UV radiation stellar winds and future explosions as supernovae, and thus they impact subsequent star formation (e.g., Shetty & Ostriker 2008; Krause et al. 2013; Skinner & Ostriker 2015). The impact of feedback in the properties of molecular clouds is twofold: mechanical feedback and radiation pressure can push gas and trigger star formation by concentrating material for further collapse, but the stellar UV radiation destroys surrounding molecular gas and ionizes the medium, disrupting molecular clouds, and thus slowing down star formation (McKee & Ostriker 2007). Therefore, the study of regions affected by the presence of massive stars is required for a complete picture of star formation in galaxies.

A unique region to explore the effects of massive stars in star formation is 30 Doradus (30 Dor), also known as the Tarantula Nebula due to its filamentary appearance. 30 Dor is a giant H II region within the Large Magellanic Cloud (LMC), the nearest dwarf irregular galaxy (at a distance of 50 kpc, Pietrzynski et al. 2013), characterized by its low metallicity (1/2Z). 30 Dor is one of the brightest H II regions in the local universe (Kennicutt 1984), consisting of a complex system of filaments and clumps containing hundreds of massive stars (>15 M, Schneider et al. 2018b), with several episodes of star formation in the past 30 Myr (e.g., Grebel & Chu 2000; Cignoni et al. 2016; Schneider et al. 2018a; Fahrion & De Marchi 2024) and where stars are still forming today (e.g., Gruendl & Chu 2009; Walborn et al. 2013; Kalari et al. 2014; Ksoll et al. 2018; Nayak et al. 2023).

30 Dor hosts the young massive cluster (YMC) R136, a ~1-2 Myr compact cluster (Crowther et al. 2016), with an extremely high density (about 104 M pc-3 , Selman & Melnick 2013) and containing several stars more massive than 150 M (Crowther et al. 2010; Brands et al. 2022). This YMC contributes to about one-quarter of the ionizing flux and about one-fifth of the total mechanical feedback in the whole nebula (Doran et al. 2013; Bestenlehner et al. 2020). According to most theoretical predictions (Dale et al. 2012, and references therein), the photoionizing luminosity (of 1051 ph s-1) is sufficient to evaporate any dense molecular gas surrounding the cluster (≤10-15 pc). Feedback from the R136 stars has indeed generated a cavity with an apparent radius of ~ 10 pc by sweeping molecular gas, forming elongated pillar-like structures, through its ionizing radiation (Chu & Kennicutt 1994; Johansson et al. 1998; Pellegrini et al. 2010).

Surprisingly, there is cold molecular emission near R136, between 2 and 10 pc in projection (Rubio et al. 2009; Kalari et al. 2018). Rubio et al. (2009) found dense molecular gas emission (106 cm-3) associated with a young massive star, IRSW-127 (Rubio et al. 1998). Kalari et al. (2018) investigated further this region through 12CO J = 2-1 emission and found three molecular clouds, or “knots”, with a total mass of 2 × 104 M. The molecular gas shows several velocity components ranging from ~235 to 250 km s-1 with complex velocity profiles showing many components and suggesting these molecular clouds further divide into smaller clumps. The cold molecular gas distribution spatially coincides with a dark lane seen at optical wavelengths and with parsec-scale knotty structures seen in excited H2 gas in the near-infrared (Kalari et al. 2018), suggesting that these knots are being photoionized. The velocity of the cold molecular gas and the spatial structure of the excited warm molecular gas both suggest that the cold gas is located close enough to R 136 that the radiation output from the R 136 cluster should be photoionizing the molecular clouds.

In this work we present ALMA observations of the molecular gas structure at 4.7″ (1.1 pc at the adopted distance to the LMC) resolution towards the vicinity of R136 in 30 Dor. We resolve the “knots” seen by Kalari et al. (2018) into sub-parsec size clumps and using different molecules detected in the 345 GHz window, we determine the physical conditions of the gas exposed to the ionizing radiation of R136. The paper is organized as follows. In Sect. 2 we describe the ALMA observations used and how we processed the images obtained. Section 3 describes the methods used to identify clumps in molecular and continuum emission. In Section 4 we report the physical properties of the clumps based on the 12CO J = 3-2 clumps detections (Sect. 4.1), 13CO J = 32 emission (Sect. 4.2), CS J = 7-6, HCO+ J = 4-3, and HCN J = 4-3 emission (Sect. 4.3), and dust emission (Sect. 4.4). In Sect. 4.5 we compare the clump properties between gas and dust emission. We discuss our results in Sect. 5. We summarize our findings in Sect. 6.

2 Observations and data reduction

Observations were taken with the Atacama Large Millimeter/Sub-millimeter Array (ALMA) during Cycle 5, using the 7m ALMA Compact Array (ACA, also known as the Morita array) under project 2017.1.00368.S (PI M. Rubio). The observations consist of two Band 7 correlator setups. The first setup was tuned to observe the 12CO J = 3-2, 13CO J = 3-2, and CS J = 7-6 molecular lines, each in one spectral window (spw), with an additional spw to observe continuum emission with a total bandwidth of 2 GHz. The second setup was tuned to observe the HCO+ J = 4-3 and HCN J = 4-3 transitions, each in an individual spw, and two additional spw for continuum. The phase center of all data is α = 05h38m39.95s, δ = -69°05m40.33s (J2000) and both correlator setups cover a field of view of approximately 1.2′ × 1.2′. The spatial resolution is approximately 4.7″ for all cubes, which corresponds to 1.1 pc at a distance of 50 kpc. The maximum recoverable scale (MRS) for the first setup is 19.1″ (4.6 pc) and for the second setup is 18.6″ (4.5 pc). As we only have one transition for each molecule, we refer to 12CO J = 3-2, 13CO J = 3-2, CS J = 7-6, HCO+ J = 4-3, and HCN J = 4-3 emission as 12CO, 13CO, CS, HCO+ , and HCN, unless otherwise stated. The footprint of the first setup observations is plotted with respect to an HST image of 30 Dor, highlighting the location of the R136 cluster, in Fig. 1.

We obtained the calibrated data using the Common Astronomy Software Applications package (CASA) Pipeline v.5.4.0.70, using the standard scripts provided by ALMA Operations Support Facility (OSF) with the delivered raw data. Imaging was performed in CASA v.5.6.1. For the molecular line cubes, we first ran the uvcontsub task to subtract continuum emission in the molecular line maps via a 0th order fit to line-free channels. Then we used the tclean task to deconvolve and clean the data cubes. We deconvolved with Briggs weighting using a robust parameter of 0.5. We used the Hogbom CLEAN algorithm with manually applied masking to reduce negative bowls of emission in line-free regions. The final properties of the data cubes (beam size, position angle, spectral resolution Δvchan, pixel size, rms σ and rest frequency νrf ) are in Table 1. Integrated emission images of all molecules are shown in Fig. 2.

We produced one continuum image by combining the continuum spw from both setups. We first concatenated the spws together in one calibrated file using the concat routine with a frequency tolerance of 10 MHz. We flagged the channels which contain line emission. We manually flagged channels that present increased amplitude due to the atmospheric transmission to improve the noise level of the final continuum image. We deconvolved the concatenated data using multi-frequency synthesis, implemented in the tclean task, with natural weight. We do an interactive Hogbom CLEAN to apply a manual mask to the dirty image. The final continuum image is shown in the top left panel of Fig. 2. It has a central frequency of 338.5 GHz (0.88 mm), a total bandwidth of 13.5 GHz, a resolution of 4.7″× 3.9″(position angle of 69°), a pixel size of O.7″, and an RMS of 4 mJy beam-1.

We applied primary beam correction to all data products using the primary beam response given by the tclean task after the CLEAN process. In the case of the line cubes, each channel was divided by the primary beam response. Because of this correction, σ is not uniform: as the primary beam response is lower towards the edges than the center, the noise increases radially.

thumbnail Fig. 1

Moment 0 contours of the 12CO J = 3-2 ALMA observations used in this work, plotted over a B/V/I Hα image from the Hubble Space Telescope (HST). Contours correspond to 3, 5, 10, 20, and 30 times the rms (= 4.92 Jy beam-1 km s-1) of the 12CO integrated image between 217 and 285 km s-1. The dashed line marks the area covered by the ALMA observations.

Table 1

Characteristics of the resulting line emission cubes.

thumbnail Fig. 2

ALMA 0.88 mm continuum image of 30 Dor in the vicinity of R136, together with the moment 0 maps of the molecules observed in this work. The moment 0 images are made integrating each molecular emission between 217 and 285 km s-1. Each molecule and image is labeled in the top part. The black scale bar represents a 2 pc length. The red ellipse represents the beam size. In the top left panel (continuum), the red cross marks the center of the R136 YMC.

3 Clump identification methods

Figure 2 shows that emission consists of clumpy structures in both molecular line and continuum emission, mostly concentrated in a diagonal that goes from the northwest to southeast. A visual inspection of the line cubes reveals that all molecules have emission between 210 and 290 kms-1. 12CO and 13CO maps also contain smaller, less bright clumps toward the south of this diagonal. We identified the individual emission structures in the line cubes using the cloud identification algorithm CPROPS (Rosolowsky & Leroy 2006; Rosolowsky & Leroy 2011), together with Gaussian fitting of the 12CO map. Individual emission structures were identified and characterized in the continuum image through visual inspection and aperture photometry. Following the terminology used in Wong et al. (2022), we refer to the individual structures as clumps as we find structures comparable to their clumps in size (~1 pc).

thumbnail Fig. 3

Flowchart of the process to identify the clumps in the ALMA 12CO data.

3.1 12CO clump identification with CPROPS

We first identified and characterized 12CO line emission, as it presents the largest line intensities of our sample. Figure 3 shows the steps taken to obtain the clump catalog from the 12CO emission cube. We then ran CPROPS with the other molecular line cubes investigated in this work (Table 1), using the parameters that worked best on the 12CO line map, and cross-matched the results of all molecules to the 12CO results. The resolution of our data (Table 1) allowed us to resolve clumps with diameters down to approximately 1 pc.

We describe the parameters we used in CPROPS in the following. We used the IDL implementation of CPROPS1 (Rosolowsky & Leroy 2011). Detailed descriptions of the algorithm are in Rosolowsky & Leroy (2006); Rosolowsky & Leroy (2011). CPROPS identifies emission as three-dimensional “islands” over a certain noise level and decomposes them into single clumps, assigning each pixel in the line cube to a clump or as background noise. We set the parameters THRESH = 3σ and EDGE = 1.5σ (σ from Table 1) to define the initial mask, from which CPROPS will decompose the emission. We used the /NONUNIFORM flag to account for the non-uniform noise in our line cube. We set the minimum area for a clump to be included with the MINAREA parameter, which we set to 0.5 resolution elements (beam area). We set the MINPEAK parameter, the minimum peak value of a potential clump, to 3σ. We set the minimum number of contiguous channels with the MIN-VCHAN parameter, which we set to MINVCHAN = 3 channels (which equals 0.6 km s-1). We use the ECLUMP variation of the CPROPS algorithm, which allows emission shared within a single brightness contour level by two clumps to be assigned to the clump with the closest peak, using the CLUMPFIND algorithm (Williams et al. 1994). A detailed explanation of what the ECLUMP variation does can be found in the CPROPS user guide. Finally, we set BOOTSTRAP = 1000 so CPROPS does 1000 bootstrap iterations to estimate the uncertainties in the detection properties.

We manually inspected the results for the 12CO detections by CPROPS to check for false clumps caused by artifacts in the interferometric data (sidelobes). The program identified a total of 49 clumps, 35 of which have a signal-to-noise ratio (S/N) higher than 5 (around 70% of the total). We first check if the identified clumps are emission sidelobes caused by brighter clumps in the vicinity. All clumps with S/N < 5 are false detections caused by the superposition of emission arising from the sidelobes of stronger neighboring clumps. From the 35 clumps with S/N > 5, 4 of them are false detections caused by sidelobes. We also discard 8 clumps which are at the borders of the map because we cannot characterize their structure. For the remaining 23 clumps, we determined that there are 19 clumps identified by CPROPS which are consistent with our visual inspection of the 12CO cube. The remaining four clumps are actually five individual clumps that are blended. We kept the 19 clumps that are consistent with what we observe and use Gaussian fitting to obtain the properties of the remaining clumps. We describe the Gaussian fitting process in Appendix A.

The final catalog of 12CO clumps consists of 24 sources, listed in Table 2. We plot the detections in Figure 4 with ellipses that represent the extrapolated (but not deconvolved) radii along the major and minor axes of the clump (see Sect. 4.1), as delivered by CPROPS. Each ellipse is plotted in three channel maps, centered in the channel map that has the closest velocity to the clump’s v. The clumps which have been characterized by the Gaussian fitting method correspond to clumps 7, 8, 16, 17, and 18.

3.2 Clump identification in all other molecular emission

We identified the molecular clump emission in 13CO, CS, HCO+, and HCN using CPROPS with the same parameters as those used to identify the 12CO clumps (Sect. 3.1). We followed almost the same procedure as the one shown in Fig. 3, except we did not separate overlapping velocity components. We manually inspected the results to leave out false detections produced by artifacts and include detections in the positions of 12CO clumps which are not detected by CPROPS. We list the CPROPS detections and their properties (position, central velocity, FWHM and sizes) in Appendix B. In summary, we detected 13 clumps in 13CO, located between 225 and 255 km s-1, eight in CS between 233 and 253 km s-1, 12 in HCO+ between 225 and 255 km s-1, and six in HCN between 233 and 253 km s-1. These clumps are plotted together with 12CO clumps in Figure 5. Figure 5 plots the position of each clump in the different molecules detected. In general, these molecules are found toward the brightest 12CO but not all clumps have detectable emission in all the lines, as shown in Fig. 5. We used the 12CO clump ID to identify the clumps in the different molecules in Appendix B.

We found emission of all the molecular species associated only with six 12CO clumps (2, 10, 16, 17, 22, and 23, see Figure 5). These are the brightest 12CO, all located along the diagonal which coincides with dust emission in the optical. The highest Tpeak values for all molecular species are found in clump 2 (according to the tables in Appendix B), which is the farthest away in projection from R136. CS and HCN are detected in the strongest CO clumps located in the northwest-southeast diagonal. These detections imply these are very dense clumps, as CS J = 7-6 and HCN J = 4-3 have high critical densities, ncrit ~ 107 cm-3 and ncrit ~ 108 cm-3, respectively. To determine the volume density and temperature of the clumps, non-LTE modeling using additional line transitions is required, which is out of the scope of this work. In particular, 13CO emission is detected in 14 12CO clumps, mainly in the northwest-southeast diagonal cloud structure but also in clumps 14, 15 and 21, outside of this diagonal. The sizes of the 13CO clumps are similar to the sizes of the 12CO (Appendix B), except for clump 2 which has a smaller minor axis and therefore, a smaller radii in comparison with its 12CO J = 3-2 counterpart (Rdc = 0.42 ± 0.06 in 13CO versus Rdc = 0.71 ± 0.10 in 12CO).

thumbnail Fig. 4

12CO channel maps between 215 and 265 km s-1 with the clumps found using CPROPS. The major and minor radii of the ellipses correspond to 1.91σmaj and 1.91σmin, where σmaj and σmin are the extrapolated (not deconvolved) second moments of emission along the major and minor axes of the clumps, obtained using CPROPS except for clumps 7, 8, 16, 17, and 18, which were obtained as described in Appendix A. The black ellipse in the lower right corner represents the beam size. The scale bar represents a length of 2 pc.

3.3 Clump identification in continuum emission

Continuum emission shows a similar distribution as the 12CO integrated molecular line emission (Fig. 2). There are continuum emission sources concentrated along the diagonal in northwestsoutheast direction and at least one continuum source at the south part of the image. Emission is brightest in the northwest corner of the image and becomes less bright toward the southeast, following the trends observed in all molecular emission.

We detected individual sources in continuum emission and then obtained their sizes and fluxes. For this, we first identified the sources in the ALMA 0.88 mm continuum image through visual inspection. We considered emission over 3σ in the continuum image as a detection, where σ = 4 mJy beam-1 is the rms of the 0.88 mm continuum image. Using this criterion, we identified 6 sources in the image, which we name A to F in increasing right ascension. The continuum sources are shown labeled in the ALMA continuum image in Fig. 6. Two of these sources, B and D, are close enough to each other so that their emissions share the same 3σ contour. All of these sources coincide with one or more 12CO clumps from Sect. 3.2: source A coincides with clump 2, source B with clump 16, source C with clump 15, source D with clumps 17 and 18, source E with clump 22, and source F with clump 23. We refer to these continuum sources as clumps as well from now on.

We obtained the areas, radii and flux of each of the detected clumps. We defined the area of a clump in the continuum image as the area inside the 1.5σ contour of each detected source. These contours, together with the 3, 4, and 5σ contours are shown in Figure 6. There are other 1.5σ contours that do not contain emission over 3σ within them. We do not consider these emissions as clumps as their S/N is lower than 3, and thus these could be produced by sidelobes from the interferometric image. Then, we calculated the area of the clump A as A=Npixdpix2,A = N_{pix} d_{pix}^2,(1)

where Npix is the number of pixels inside the 1.5σ contour of the clump and dpix is the diameter of a pixel in pc. Emission from clumps B and D share the same contours up to a 5σ level, so to determine their area, we modeled the emission from both clumps as two elliptical Gaussians. We used the astropy.modelling package to find the best fit for this region of the image. Afterwards, we generated an image with only one of the Gaussians and found the area of the isolated clump.

We calculated the equivalent circular radii Req of the clumps, using A (Eq. (1)): Req=Aπ.R_{eq} = \sqrt{\frac{A}{\pi}}.(2)

We also calculated the deconvolved equivalent radii, Req,dc=Req2Rbeam2,R_{eq, dc} = \sqrt{R_{eq}^2 - R_{beam}^2},(3)

where Rbeam is the geometric mean of the radii along the major and minor axes of the beam. This formula is equivalent to Equation (9) from Rosolowsky & Leroy (2006) when applied to a circular clump. For the ALMA 0.88 mm continuum image, the beam radii is Rbeam = 0.84 pc. If the equivalent radii of a clump is smaller than Rbeam, we adopted Req,dc = Rbeam as an upper limit to the deconvolved radius. The resulting areas and equivalent radii (deconvolved and not deconvolved) for the clumps in the continuum image are in Table 3. Clumps C, E and F are unresolved.

We determined the total flux coming from the clumps found in the ALMA 0.88 mm continuum image using aperture photometry with background sky subtraction. The aperture of each clump is a circle that encloses the area found in Sect. 3.3 (the 1.5σ contour). We defined the center of the aperture as the center of each clump. The radii of each aperture rap and their central positions are listed in Table 3. The background emission flux was obtained by taking the median intensity at a sample of apertures with a radius of 5″, which do not present emission in the ALMA 0.88 mm continuum. Background emission represented <5% of the flux within the clumps’ apertures. This median was then multiplied by the aperture area of each clump to determine the background emission. The flux density of each source is the flux present inside the aperture minus the background emission. The uncertainties in the fluxes are the photometric errors inside the aperture area ϵ=σNbeams,\epsilon = \sigma\sqrt{N_{beams}},(4)

where σ is the rms of the image (4 mJy beam-1 ) and Nbeams is the number of beams inside the aperture area. To obtain the flux coming from sources B and D, we used the Gaussian models of each source for the aperture photometry. The total fluxes in the continuum image S880 in mJy for each clump are listed in Table 3.

Table 2

12CO Clump detections via CPROPS.

thumbnail Fig. 5

Central position of the clumps found in 12CO, 13CO, CS, HCO+, and HCN, plotted over contours of the peak main beam temperature of 12CO. The contours correspond to 5, 10, 100, and 200 times the rms of the 12CO line emission (47 mK). The blue crosses mark the central position of the clumps found in the 12CO in Sect. 3.1. The yellow arrowheads point toward the central positions of the 13CO clumps. The green arrowheads point toward the central positions of the CS clumps. The red arrowheads point toward the central positions of the HCO+ clumps. The purple arrowheads point toward the central positions of the HCN clumps. The red ellipse in the lower right corner represents the beam size.

thumbnail Fig. 6

ALMA 0.88 mm continuum image of the vicinity of R136. The white contours represent 1.5, 3, 4, and 5 σ levels (σ = 4 mJy/beam), with labels indicating the contours that correspond to clumps A, B, C, D, E, and F. The red ellipse in the lower right corner represents the beam size. The scale bar in the upper left corner represents a 2 pc length.

Table 3

Properties of the clumps derived from the ALMA 0.88 mm image.

4 Results and analysis

4.1 Physical properties of clumps near R136 based on 12CO

We determined the radius R, the 12CO luminosity L12CO$L_{^{12}{\rm CO}}$, the virial mass Mvir and molecular mass derived from CO luminosity (luminous mass) MgasCOM^{\rm CO}_{\mathrm{gas}} of each clump based on the CPROPS results. The physical properties are corrected for sensitivity and resolution bias. The corrections are applied to the second moments σr and σv as described in Rosolowsky & Leroy (2006). The correction for sensitivity is done as part of the CPROPS routine and we correct for resolution bias separately. We do not extrapolate the radii for clumps 7, 8, 16, 17, and 18 (which are characterized using the manual method described in Sect. 3.1).

To correct for resolution bias, we deconvolved the beam size and the width of a spectral channel from σr and σv, respectively, using Equations (9) and (10) from Rosolowsky & Leroy (2006)

Out of the 24 clumps, only 3 have second moments σr along both principal axes that are larger than the geometric mean of the second moments of the beam σbeam (i.e., are resolved). For the rest, 11 clumps have a minor axis σr smaller than σbeam and the rest have both axes smaller than σbeam. We calculated the radii of the clumps taking this into account. When the minor axis is smaller than σbeam, instead of using Equation (9) of Rosolowsky & Leroy (2006), we calculated σr using σr=σbeam(σmaj(0K)σbeam),\sigma_r = \sqrt{\sigma_{beam}(\sigma_{maj}(0K) - \sigma_{beam})},(5)

where σmaj(0K) is the extrapolated second moment of the major axis. If both axes are smaller than the beam, the clump is unresolved and we adopted σr = σbeam. This implies that these clumps have an upper limit to the radius of 0.84 pc.

We used the radii R and luminosities L12CO$L_{^{12}{\rm CO}}$ calculated by CPROPS (Rosolowsky & Leroy 2006), assuming a distance to 30 Dor of D = 50 kpc (Pietrzynski et al. 2013). The virial mass is calculated using Eq. (3) of MacLaren et al. (1988), which assumes that clumps have a spherical shape with a density profile ρ(r) ∝ r-1, Mvir=190(Δv)2R,M_{vir}=190(\Delta v)^2R,(6)

where R is the radius of the clump in pc and Δv is its FWHM in km s-1and gives the mass in M.

We also calculated the H2 gas mass traced by 12CO luminosity, MgasCO$M^{\rm CO}_{\mathrm{gas}}$, in M, as MgasCO=α12COL12CO(10),M^{\rm CO}_{\mathrm{gas}}=\alpha_{^{12}{\rm CO}}L_{^{12}{\rm CO}(1-0)}(7)

where α12CO$\alpha_{^{12}{\rm CO}}$ is the CO-to-H2 conversion factor in M (K km s-1 pc2)-1 and L12CO(10)$L_{^{12}{\rm CO}(1-0)}$ is the 12CO J = 1-0 luminosity of each clump. We transform the 12CO J = 3-2 luminosities of our clumps into 12CO J = 1-0 luminosities, using a line ratio R32102$R_{\frac{3-2}{1-0}}\sim2$, as determined by Johansson et al. (1998) for the 30Dor-10 cloud. We used α12CO=8.4±3.0Mpc2(Kkms1)1$\alpha_{^{12}{\rm CO}}=8.4\pm3.0$ M$_{\odot}$ pc$^{-2}$ (K km s$^{-1}$)$^{-1}$, obtained toward the 30Dor-10 cloud by Indebetouw et al. (2013), at 0.6 pc resolution. This value is almost double the canonical α12CO$\alpha_{^{12}{\rm CO}}$ for the Milky Way (4.3 M pc-2 (K km s-1 )-1, Bolatto et al. 2013). The CO-to-H2 conversion factor is known to vary significantly on small scales (~1 pc), as shown by excitation analyses toward molecular clouds with diverse physical conditions (Goldsmith et al. 2008; Kohno & Sofue 2024). This does not affect the obtained masses considerably, given the unresolved nature of the majority of our clumps.

We calculated the H2 surface density ΣH2$\Sigma_{\text{H}_2}$ in M pc-2 using the resulting mass from 12CO luminosity and the radius of each clump.

Table 4 presents the physical properties obtained for all clumps. We also add for reference the ratio of the virial mass to the luminous mass using the LMC conversion factor, Mvir/MgasCO${M_{vir}}/{M^{\rm CO}_{\mathrm{gas}}}$. The clumps have radii between 0.1 and 0.9 pc, luminosities between 1 and 269 K km s-1 pc2, virial masses between 88 and 2414 M and luminous masses MgasCO$M^{\rm CO}_{\mathrm{gas}}$ between 3 and 1128 M. Mvir tend to be higher than MgasCO$M^{\rm CO}_{\mathrm{gas}}$ except clump 16, in which the ratio between both masses is 1. As the majority of the clumps are not resolved, their virial masses are an upper limit, so their mass ratios are an upper limit as well. For the completely resolved clumps (2, 22, and 23), the ratio is between 2 and 3.3. These results are similar to the ratios found at lower resolution by Kalari et al. (2018). This difference could be explained if the conversion factor in this region is a factor of 2-3 different from the one we assumed, α12CO=8.4±3.0Mpc2(Kkms1)1$\alpha_{^{12}{\rm CO}}=8.4\pm3.0$ M$_{\odot}$ pc$^{-2}$ (K km s$^{-1}$)$^{-1}$. If we assume MvirMH2, the conversion factor for this region would be between α12CO=16.8and27.7Mpc2(Kkms1)1$\alpha_{^{12}{\rm CO}}=16.8$ and 27.7 M$_{\odot}$ pc$^{-2}$ (K km s$^{-1}$)$^{-1}$. These α12CO$\alpha_{^{12}{\rm CO}}$ values are between 4 to 6 times higher than the canonical galactic conversion value of α12CO=4.3Mpc2(Kkms1)1$\alpha_{^{12}{\rm CO}}=4.3$ M$_{\odot}$ pc$^{-2}$ (K km s$^{-1}$)$^{-1}$. A higher α12CO$\alpha_{^{12}{\rm CO}}$ is consistent with the large fraction of CO-dark gas in this region (Chevance et al. 2020). The difference between MgasCO$M^{\rm CO}_{\mathrm{gas}}$ and Mvir can also be the result of the virial mass tracing the external pressure suffered by the clumps as well as the total gas mass. We discuss the virial mass in further detail in Sect. 5.1 and 5.5.

We plot Mvir v/s L12CO(10)$L_{^{12}{\rm CO}(1-0)}$ for the molecular clumps which are completely resolved and clumps which have their minor axis unresolved in Figure 7, together with the relation between these properties found for molecular clouds in the first quadrant of the Milky Way by Solomon et al. (1987), Mvir=39(L12CO(10))0.81$M_{vir}=39(L_{^{12}{\rm CO}(1-0)})^{0.81}$. The L12CO$L_{^{12}{\rm CO}}$ luminosities are transformed to L12CO(10)$L_{^{12}{\rm CO}(1-0)}$ using R32102$R_{\frac{3-2}{1-0}}\sim2$ (Johansson et al. 1998). The clumps with luminosities L12CO(10)>10$L_{^{12}{\rm CO}(1-0)}>10$ Kkms-1 pc2 (2, 16, 17, 18, 22 and 23) follow the relation between Mvir and L12CO(10)$L_{^{12}{\rm CO}(1-0)}$, whereas the clumps with L12CO(10)<10$L_{^{12}{\rm CO}(1-0)}<10$ K km s-1 pc2 have a higher virial mass than in Solomon et al. (1987) relation. The latter clumps are unresolved in one of their axis, so the virial mass in these cases is overestimated as we truncate their size in the minor axis to the size of the beam. Higher resolution observations will be able to resolve these clumps and may lower these points toward the relationship found for Galactic molecular clouds (Solomon et al. 1987).

Table 4

Physical properties of the 12CO clumps in 30 Dor.

4.2 Physical properties derived from 12CO and 13CO molecular emission

For the first time, we have simultaneous 12CO and 13CO molecular line emissions at the same resolution and line transition toward the molecular gas near R136 in 30 Dor. We calculated the mass of the clumps using both molecules assuming Local Thermodynamic Equilibrium (LTE), as an alternative to assuming an αCO conversion factor. To obtain the column density of H2 molecules N(H2) for the peak positions of the clouds under LTE assumption, we used the equations specific for 12CO J = 3-2 and 13 CO J = 3-2 molecular line emissions given in Celis Peña et al. (2019).

First, we assumed that the excitation temperature for 13CO is the same than for 12CO, and that the 12CO emission is optically thick. Thus we obtained the excitation temperature Tex(12CO) = Tex for the 12CO molecular transition in K using Tex=16.59ln(1+16.59Tpeak+0.036)T_{ex} = \frac{16.59}{\ln\left(1+\frac{16.59}{T_{peak}+0.036}\right)}(8)

where Tpeak is the 12CO peak temperature of the clump in K. We used the Tpeak values in Table 2 for each clump where we detect 13CO emission. We note that Eq. (8) assumes a beam filling factor f ≈ 1, which might not be true for unresolved clumps. We discuss the effect of this assumption further in Sect. 5.4.

We confirmed that the 13CO line is optically thin in all clumps by calculating the optical depth τ13CO : τ13CO=ln(10.063Tpeak13CO(e15.85Tex1)10.003).\tau^{13CO} = - \ln \left( 1-\frac{0.063\,T_{peak}^{^{13}{\rm CO}}}{(e^{\frac{15.85}{T_{ex}}}-1)^{-1}-0.003}\right).(9)

Here Tpeak13CO$T_{peak}^{^{13}{\rm CO}}$ is the 13CO peak temperature for the clump in K (obtained from CPROPS; Appendix B). The resulting τ13CO are all lower than 1, between 0.1 and 0.4 (Table 5).

We calculated the 13CO column density N(13CO) in cm-2 using the optically thin approximation N(13CO)=8.28×1013e15.85TexTex+0.881e15.85TexI13COJ(Tex)J(TBG),N(^{13}CO) = 8.28\times10^{13} e^{\frac{15.85}{T_{ex}}} \frac{T_{ex}+0.88}{1-e^{\frac{-15.85}{T_{ex}}}} \frac{ I_{^{13}{\rm CO}}}{J(T_{ex})-J(T_{BG})},(10)

where I13CO$I_{^{13}{\rm CO}}$ is the integrated line intensity at the peak temperature position in K km s-1, obtained from Table 6, TBG is the cosmic microwave background (CMB) radiation temperature TBG = 2.73 K and J(T)=hν/kehν/kT1,J(T) = \frac{h\nu/k}{e^{h\nu/kT}-1},(11)

where, for ν = 330.588 GHz (the rest frequency of the 13CO J = 3-2 line), hv/k = 15.85 K.

We obtained the column density of H2 molecules N(H2) in cm-2 as N(H2) = [H2/13CO]N(13CO), where [H2/13CO] is the abundance ratio between H2 and 13CO, which we assumed to be 1.8 × 106 (Garay et al. 2002; Heikkilä et al. 1999).

Finally, we derive the gas mass of the clumps MgasLTE$M^{LTE}_{gas}$ using MgasLTE=μmHD2ΩbeamN(H2),M^{LTE}_{gas} = \mu m_{H}D^2 \Omega_{beam}N(H_2),(12)

where μ is the mean molecular weight of H2, equal to 2.72 to include the contribution of Helium to the total mass of the clump, mH is the mass of the Hydrogen atom in gr, D is the distance to the clump in centimeters, and Ωbeam is the solid angle covered by the beam in square radians.

Additionally, we obtained the 13CO luminosity L13CO$L_{^{13}{\rm CO}}$ applying the mask from the 12CO clump determination to the 13CO data, following the same luminosity definition as CPROPS (see Rosolowsky & Leroy 2006, for more details) and again assuming a distance to 30 Dor of 50 kpc (Pietrzynski et al. 2013). We do not correct for sensitivity bias as done for the 12CO luminosity. The obtained Tex, τ13CO, N(13CO), N(H2), L13CO and MgasLTE$M^{LTE}_{gas}$ are in Table 5. We did not include clump 9 as it has a low S /N ~ 3 in 13CO.

The clumps have excitation temperatures Tex ranging from 5.38 to 33.39. The highest temperatures are found in the brightest clumps (2, 16, 17, 18, 22, and 23), belonging to the northwestsoutheast structure. These clumps were also detected in HCO+, CS and/or HCN, so they have a high density (n ~ 106 cm-3) and thus, one could assume that the derived TexTK. We compare Tex in this region with other regions in the LMC in Sect. 5.4.

The clumps’ peak column densities range between 4.223.7 × 1021 cm-2. Those clumps with column densities exceeding 1022 cm-2, clumps 2, 8, 16, 17, and 18, are those with the strongest CO emission. The total gas masses MgasLTE$M^{LTE}_{gas}$ range between 203 and 1148 M. For the resolved clumps (2, 22, and 23), these masses are between 0.6-1 times the mass derived from CO luminosity MgasCO$M^{\rm CO}_{\mathrm{gas}}$ from Table 4. For the rest of the clumps, these masses are between 1.5-10.5 times higher than MgasCO$M^{\rm CO}_{\mathrm{gas}}$, except for clump 16, where MgasLTE0.5MgasCO$M^{LTE}_{gas}\approx 0.5M^{\rm CO}_{\mathrm{gas}}$. The fact that MgasLTE>MgasCO$M^{LTE}_{gas}> M^{\rm CO}_{\mathrm{gas}}$ for unresolved clumps suggests that the assumption that 12CO and 13CO have a beam filling factor f ≈ 1 is incorrect for these clumps. This increases the estimated Tex and N(13CO). The difference between MgasCO$M^{\rm CO}_{\mathrm{gas}}$ and MgasLTE$M^{LTE}_{gas}$ also suggests that there are local variations in the αCO$\alpha_{\rm CO}$ factor within the clumps, as mentioned in Sect. 4.1 (e.g., Kohno & Sofue 2024). Given that only three clumps are resolved in this sample, a further investigation onto αCO$\alpha_{\rm CO}$ is beyond the scope of this work.

thumbnail Fig. 7

Relationship between the virial mass Mvir and the 12CO J = 1-0 luminosity L12CO(10)$L_{^{12}{\rm CO}(1-0)}$. The L12CO$L_{^{12}{\rm CO}}$ luminosities are transformed to L12CO(10)$L_{^{12}{\rm CO}(1-0)}$ using R32102$R_{\frac{3-2}{1-0}}{\sim}2$ (Johansson et al. 1998). The filled red circles correspond to completely resolved clumps, whereas the empty red circles correspond to clumps where the minor axis is unresolved. The dashed line represents the relationship found for molecular clouds in the first Galactic quadrant by Solomon et al. (1987), Mvir=39(L12CO(10))0.81$M_{vir}=39(L_{^{12}{\rm CO}(1-0)})^{0.81}$.

4.3 Integrated line intensities for different molecular species

We compared the different molecules using their line intensities and their luminosities. We determined the integrated line intensity I=Tvdv$I=\int T_v\, dv$ using the spectra at the peak emission position for each clump in each molecule. We first fit a Gaussian profile to the spectra using the astropy.models.Gaussian1D module.

Then, we integrated the best fit Gaussian profile of each molecule to obtain the velocity integrated line intensity, I=Tvdv$I=\int T_v\, dv$. For clumps 8 and 18, which are the clumps manually characterized in Appendix A, the detected molecules were fit with two Gaussian components, the second of which corresponds to emission from clump 7 in the case of clump 8, and 17 in the case of clump 18, located in the same lines of sight. In these cases, we selected the Gaussian component that has the central velocity closest to the velocity of the clump in Table 2. Emission from clumps 4, 6, and 24 cannot be easily disentangled from other clumps and are weak (S/N ~ 5); therefore, we do not include them in this analysis.

Table 6 shows the integrated line intensities for all the clumps identified in the mapped region. The obtained spectra for each molecule in each clump, together with the best fit Gaussian models, are plotted in Appendix C. In general, the strongest intensities I for in all molecular species are found in the clumps which belong to the northwest-southeast diagonal (clumps 2, 16, 17, 18, 22, and 23).

We determined the integrated intensity line ratios with respect to the 13CO line I12COI13CO$\frac{I_{^{12}{\rm CO}}}{I_{^{13}{\rm CO}}}$, ICSI13CO$\frac{I_{CS}}{I_{^{13}{\rm CO}}}$, IHCO+I13CO$\frac{I_{HCO^{+}}}{I_{^{13}{\rm CO}}}$, and IHCNI13CO$\frac{I_{HCN}}{I_{^{13}{\rm CO}}}$ based on Table 6. The resulting line ratios are shown in Table 7, where we also include in the last column the IHCO+IHCN$\frac{I_{HCO^{+}}}{I_{HCN}}$ line ratio. We did not calculate the line ratios for clumps 9 and 21 because their 13CO and HCO+ detections have a low S/N ratio (between 3-4), which generates a higher uncertainty for the ratio. We also do not report the line ratios using CS, HCO+, and HCN detections for clump 22 because these detections also have a low S/N (~3).

Table 5

Physical properties of clumps derived through an LTE analysis of 12CO and 13CO emission.

Table 6

Integrated line intensities I=Tvdv$I=\int T_v dv$ for each of the clumps.

Table 7

Intensity line ratios calculated using the results shown in Table 6.

4.4 Physical properties of the dust clumps

4.4.1 Free-free emission near R136

The flux measurements from the ALMA 0.88 mm continuum image (Table 8) are in part due to dust emission, but might also contain free-free (Bremsstrahlung) emission from ionized gas and synchrotron emission from relativistic particles. We are interested in the dust continuum emission, therefore we need to calculate and remove the other contributions to the measured flux. Previous works show that synchrotron emission is negligible in 30 Dor (Brunetti & Wilson 2019; Guzmán 2010). However, we expect the ALMA 0.88 mm continuum image to have an important contribution from free-free emission, as the clumps are within an H II region.

We determined the free-free emission in the vicinity of R136 using a Brγ emission image obtained with the 1.5 m telescope in Cerro Tololo Observatory (M. Rubio, priv. comm.). The image has a resolution of 1.2″ and intensity units of erg cm-2 s-1 sr-1. We first transformed the Brγ emission image into an Ha image using a ratio between Ha and Brγ intensities of 101.78, which corresponds to the ratio for a typical H II region with an electronic temperature Te = 104 and electron density of 100 cm-3 (Osterbrock & Ferland 2006). Then, we transformed the Ha intensity Iα in erg cm-2 s-1 sr-1 to a free-free emission image Iνff$I_{\nu}^{ff}$ in mJy sr-1, using Iνff=1.16(1+n(He+)n(H+))(Te104)0.62ν0.1(Iα1012),I_{\nu}^{ff} = 1.16 \left(1+\frac{n(\text{He}^+)}{n(\text{H}^+)}\right) \left(\frac{T_e}{10^4}\right)^{0.62} \nu^{-0.1}\left( \frac{I_{\alpha}}{10^{-12}}\right),(13)

(derived from Hunt et al. 2004) where ν is the objective frequency in GHz (in this case, 338.5 GHz), Te is the electronic temperature in K and n(He+)/n(H+) is the number density ratio between He and H ions. We used Te = 104 K and n(He+)/n(H+) ~ 0.08, typical values estimated for low metal-licity sources like the Magellanic Clouds (Hunt et al. 2004). We convolved the image to the same resolution of 4.7 × 3.9″ as the ALMA 0.88 mm continuum image and transformed the image units from mJy sr-1 to mJy beam-1 by multiplying each pixel by the area of the beam in sr. The resulting free-free emission image is shown in Fig. 8 and has an rms of 4.5 mJy beam-1.

We determined the free-free emission toward each clump through aperture photometry. We used the same apertures from Sect. 3.3. The obtained free-free fluxes, Sf f,Brγ, derived from Brγ are listed in Table 8. These values represent between 50 and 85% of the total 0.88 mm flux measured in the ALMA images, confirming that the free-free contribution to the continuum is important, as expected toward an H II region. Clump C presents the largest free-free contribution with respect to the total 0.88 mm emission. In Figure 8, there is a local free-free peak at the location of clump C, which explains why the free-free emission contribution to its total flux is so important.

thumbnail Fig. 8

Free-free emission image generated from Brγ emission. The white dashed contours are the 0.88 mm continuum contours from Fig. 6. The scale bar at the top left represents a 2 pc length. The black ellipse shows the resolution of the free-free image after convolution.

Table 8

Free-free emission fluxes, resulting dust emission fluxes Sdust and total gas masses Mgasdust$M_{gas}^{dust}$ for each clump.

4.4.2 Gas mass from dust emission

We calculated the total gas masses of the clumps near R136 using the dust fluxes obtained in Sect. 4.4.1. This method has been used to obtain the total gas mass of molecular clouds in low metallicity environments, where a large fraction of the total molecular mass may not be traced by CO emission (e.g., Rubio et al. 2004; Bot et al. 2010). The total gas mass of a clump in M was obtained assuming that dust emission is optically thin at 0.88 mm: Mgasdust=SdustD2κ(ν)xdBν(Td).M_{gas}^{dust} = \frac{S_{dust} D^2}{\kappa(\nu)x_d B_{\nu}(T_d)}.(14)

Here Sdust is the dust flux of the clump, D is the distance to the clump (in this case, 50 kpc), κ(ν) is the dust absorption coefficient at frequency ν, xd is the dust to gas mass ratio, and Bν(Td) is the Planck law evaluated at a dust temperature Td, in Jy sr-1. We calculated the gas masses from dust emission using the dust fluxes Sdust from Table 8. We assumed a dust temperature Td = 40 K, based on the dust temperatures obtained for this region in Tram et al. (2021). We note that the temperatures of individual clumps might be different, but variations within 5 K will not affect our analysis. We also assumed that the dust grain properties in 30 Dor are similar to the ones present in the molecular ring of the Milky Way, such that κ(870μm) = 1.26 ± 0.02 cm2 g-1, found by Bot et al. (2010). We transformed κ(870μm) to κ(880μm), using κ(880μm) = (880μm/870μm)κ(870μm), using a dust emissivity index β = 2, which resulted in κ(880μm) = 1.23 ± 0.02 cm2 g-1. We finally assumed that the dust to gas ratio scales linearly with metallic-ity, and as Z(LMC) = 0.5Z(⊙) (Rolleston et al. 2002), the dust to gas ratio in the LMC is half the dust to gas ratio in the Solar neighborhood2, xd(LMC) = 0.5xd(⊙) = 3.5 × 10-3.

The gas masses obtained from Equation (14) are in Table 8. All masses are within 102 and 103 M, the same orders of magnitude as the virial masses obtained in Sect. 4.1 for the clumps in the northwest-southeast diagonal structure.

4.5 Comparison between molecular and continuum emission near R136

In this work, the molecular gas in R136 has been studied by the emission of 12CO and the dust emission by the sub-millimeter 0.88 mm continuum emission, both of which have similar resolution (4.7″ × 3.9″ for the continuum image and 4.6″ × 4.0″ for the 12CO molecular line cube). Therefore, we can make a comparison of some properties derived from both components assuming that the dust continuum emission is associated to the same molecular clumps.

4.5.1 Clump sizes in CO and continuum emission

We compared the dust clump sizes from Table 3 with the area covered by the corresponding clumps in 12CO. We matched the 12 CO clumps in the diagonal structure that dominates the channel maps (Fig. 4, between 232.5 and 252.5 km s-1) to the dust clumps from Fig. 6 via visual inspection. To determine the area of the 12CO clumps in a similar manner as for the dust clumps, we made velocity integrated images for each clump in the velocity range in which emission is detected. The velocity range used for the integration is [v - 2σv, v + 2σv] for each clump, where v and σv correspond to the central velocity and velocity dispersion of the clump given in Table 2. This range contains 95.4% of the total emission from the clump, assuming it follows a Gaussian distribution in velocity. We determined the rms for the velocity integrated image for each clump and defined the extension of the clump as the area enclosed by the 3σ contour. We chose 3σ instead of 1.5σ (as in Sect. 3.3) because the integrated images’ 1.5σ contours cover the sidelobes of 12CO emission. The velocity ranges used for integration, the resulting rms of the velocity integrated image and the calculated areas in pc2 are in Table 9.

In the specific case of the dust sources B and D, we calculated their shared area within the 1.5σ contour in the 0.88 mm image, without counting the northern extension that does not have a corresponding 12CO counterpart. This area corresponds to A = 6.16 pc2. The 12CO emission has three different clumps, 16, 17, and 18, separated in velocity but in the same line of sight, covering the two dust sources. Thus, we integrated the 12CO line cube between 238 and 249 km s-1 and determined the area enclosed in the 3σ contour of the resulting image.

Figure 9 shows the 12CO velocity integrated images in the velocity ranges of each clump with the 3, 5 and 10σ contours shown in color red. Superimposed to each integrated velocity image we show in color white the ALMA 0.88 mm 1.5 and 3σ continuum contours (which correspond to the white contours in Figure 6). In all the identified clumps, the 12CO velocity integrated images 3σ contours cover a larger area than the ALMA 880 dust μm continuum image 1.5σ contour. Also, the calculated areas for the12CO clumps in Table 9 are larger than the areas from the corresponding 0.88 mm continuum sources in Table 3. We discuss these results further in Sect. 5.5.

Table 9

Velocity ranges and rms values of the integrated 12CO images.

4.5.2 Gas masses obtained through CO and dust emission

We also compared the gas mass of the clumps obtained using dust emission and 12CO line emission from Sect. 4.1. To perform this comparison we needed to calculate the mass using the same clump areas on all cases. We adopted as sizes the areas obtained using continuum emission, given in Table 3, as these are the smallest. The gas masses based on dust emission Mgasdust$M_{gas}^{dust}$ were taken from Sect. 4.4.2. We determined the virial masses associated to the dust clump areas MvirA880μm$M_{vir}^{A_{880\mu m}}$ using Equation (6), adopting the 12CO velocity FWHM of each clump from Table 4. To determine the radius, we took the sizes of the dust clumps as given in Table 3 and deconvolved the equivalent radii with the ALMA beam using Equation (14). We also determined the clump masses using 12CO luminosity MgasCO,A880μm$M_{gas}^{CO,A_{880\mu m}}$, assuming the same line ratio and α12CO$\alpha_{^{12}{\rm CO}}$ as in Sect. 4.1. The resulting 12CO luminosities and gas masses determined through 12CO and dust (MCOA880μm$M_{\rm CO}^{A_{880\mu m}}$ and MvirA880μm$M_{vir}^{A_{880\mu m}}$, respectively) are in Table 10.

In the case of sources B and D together, we calculated Mgasdust$M_{gas}^{dust}$ from the dust flux emission inside the common area, (A = 6.16 pc2 from Sect. 4.5.1). We subtracted the corresponding free-free emission Sf f,Brγ = 44.3 ± 11.3 mJy to the measured continuum emission of S880 = 80.5 ± 9.0 mJy inside this area. We obtained a total dust flux of Sdust = 36.2 ± 20.3 mJy. Using Equation (14), with the same Td and εH as in Sect. 4.4.2, we obtained a gas mass Mgasdust=924±520M$M_{gas}^{dust}=924\pm520$ M$_{\odot}$ for sources B and D together. The MgasCO,A880μm$M_{gas}^{CO,A_{880\mu m}}$ for sources B and D is calculated using the 12CO luminosity in the chosen area.

The gas masses traced by dust emission are similar than the gas masses traced by 12CO luminosity, even though continuum emission seems to cover a smaller area than 12CO emission. The ratios MgasCO,A880μm/Mgasdust$M_{gas}^{CO,A_{880\mu m}}/M_{gas}^{dust}$ for our sample are between 0.8 and 1.2, but in most of them, the uncertainties are large enough that the ratio could be >1.

The ratios MvirA880μm/Mgasdust$M_{vir}^{A_{880\mu m}}/M_{gas}^{dust}$ for these clumps, on the other hand, are 3.1 and 2.6 for CO clumps 2 and the combined emission from clumps 16, 17, and 18 (where the radii in the 0.88 mm continuum image is resolved), with large uncertainties due to the uncertainties in Mgasdust$M_{gas}^{dust}$. The ratio for clumps 22 and 23, where the continuum radii is not resolved, is 5.4 and 5.6, respectively. Thus, the observed gas masses obtained from dust, within all uncertainties, are always lower than the virial mass.

thumbnail Fig. 9

Velocity integrated images of 12CO emission for clumps 2, 15, 16, 17, 18, 22, and 23, together with the corresponding dust continuum contours. The areas of all gas clumps are larger than the areas covered by dust. The red contours correspond to 3, 5, and 10σ, where σ is the rms of each velocity integrated image (Table 9). The white contours correspond to the 1.5 and 3σ contours of the ALMA 0.88 mm continuum image, as in Figure 6.

Table 10

Luminosity and gas masses traced by 12CO emission, dust emission, and their ratios.

5 Discussion

5.1 Comparison with molecular emission in previous works

Our results confirm the presence of clumpy structures in this region suggested first in Rubio et al. (2009) using CO J = 2-1 and CS J = 2-1 observations. Clump 17 coincides in position and velocity with their strongest CO component. Clumps 2 and 12 coincide with the other two velocity components. Also, we confirm that the strongest CS emission seen in Rubio et al. (2009) comes from clump 2, and there is less intense CS emission in clumps 16 and 17. Our clumps 11, 12 and 15 have I12COI13CO$\frac{I_{^{12}{CO}}}{I_{^{13}{CO}}}$ line ratios (10.3, 9.7 and 9.0, respectively) similar to the ratios found by Rubio et al. (2009) for this region, and the rest of the clumps have lower line ratios, between 3.9 and 7.1.

We resolved sub-parsec size clumps, gathered in groups that coincide with the three “knots” reported by Kalari et al. (2018) using SEST 12CO J = 2-1 observations at ~ 5.6 pc resolution. Clumps 22 and 23 coincide spatially and spectrally with KN-1. KN-2 is resolved into three clumps, 16, 17 and 18 in our work. Clump 16 is the strongest in CO emission of these three clumps and its center velocity coincides with that of the peak emission from KN-2. Clump 2 coincides with KN-3 and both are the strongest detections in each of the samples.

The clumps in the diagonal (2, 16, 17, 18, 22 and 23) coincide with the 12CO dendrogram structures found by Wong et al. (2022). Two clumps have an excellent match: our clump 2 matches with their clump 57 and clump 23, with their clump 76. Our clumps 16, 17 and 18 correspond to their clump 67, and the velocity of the 12CO clump with SCIMES is approximately the average of our CPROPS clumps.

5.2 Variations in clump properties with projected distance to R136

We plot the clump 12CO luminosities, radii, central velocities, and FWHM with respect to the projected distance to the center of the YMC R136 in Fig. 10. We calculated the projected distance from R136a1, a Wolf-Rayet star which is taken as the center of R136 (Doran et al. 2013), to the central position of each clump (Table 4). In general, the clump properties show no clear correlations with distance. However, there is a tendency of increasing vLSR and increasing luminosity with increasing projected distance for clumps belonging to the diagonal structure seen in Figs. 2 and 4, which also correspond to the brightest clumps in the sample (2, 16, 17, 18, 22, and 23). We note that clump 2 has a vLSR of about 250 km s-1, which is close to the R136 cluster velocity (about 255 kms-1), as determined from the mean local standard of rest (LSR) radial velocity of the stars in R136 (Evans et al. 2015). The rest of the clumps in the diagonal structure are blueshifted with respect to R136. This supports the idea that the clumps in the northwest-southeast diagonal lie slightly in front of R136, and thus between the cluster and us, as suggested by Kalari et al. (2018). The rest of the clumps, which are located outside of the northwest-southeast structure, do not seem to show a tendency in velocity with distance. These clumps are fainter in CO emission that the clumps in the northwest-southeast diagonal structure, and none are resolved.

We plot the excitation temperature and column densities of the clumps obtained with 12CO and 13CO in Fig. 11. The resolved clumps (2, 22, and 23) show a tendency of increasing Tex with distance. This tendency is followed by clump 16 from the diagonal structure, but not by clumps 17 and 18. Clumps to the west of clump 18 are ~ 10 pc away from R136’s center, according to the three-dimensional distribution of gas derived in Chevance et al. (2016), whereas the distance of clumps 22 and 23 is uncertain. Therefore, the higher Tex of clump 2 is expected as it is closer to R136 in reality than the other resolved clumps.

In general, our clumps show no strong tendencies with projected distance from R136, except for central velocity. This result is consistent with previous research into 30 Dor clumps, where the 12CO clump properties do not seem to change with distance to the source of radiation (Indebetouw et al. 2013; Indebetouw et al. 2024).

thumbnail Fig. 10

Observed properties of the clumps obtained from 12CO emission, with respect to projected distance to R136a1. The red points represent the fully resolved clumps from Table 4, whereas the empty black diamonds show the clumps where one axis is unresolved. The black horizontal line represents the vLSR of the R136 cluster (Evans et al. 2015).

thumbnail Fig. 11

Observed properties of the clumps obtained through LTE analysis, with respect to projected distance to R136a1. The colors are the same as in Fig. 10.

5.3 Scale relations

Figure 12 left shows the size-linewidth relation (σv - R) of the 12CO clumps found via CPROPS, distinguishing between fully resolved clumps and those with unresolved minor axes. Molecular clouds in virial equilibrium should follow an approximate relation in the form σvRα (Larson 1981). Clumps in our work, in the LMC, and dense clumps the inner Milky Way populate a different space in the diagram than Galactic molecular clouds. We found no significant differences in the σv - R relation for clumps near R136 compared to other clumps farther from the YMC in 30 Dor, seen by Wong et al. (2022) (see also Pineda et al. 2009; Indebetouw et al. 2013; Nayak et al. 2016). Dense clumps from ATLASGAL follow this relation at smaller scales. We note, however, that these clumps’ properties are measured using 13CO emission, thus we show their values as a reference to the general location they occupy in the σv - R plot. All structures in 30 Dor, including our sample, follow a power law similar to Milky Way clouds, but with higher velocity dispersions relative to both the Milky Way (Heyer et al. 2009) and other LMC clouds excluding 30 Dor (Wong et al. 2011).

The offset of the σv - R relation is dependent on the mass surface density Σ of the clumps and thus indicates how bound they are (Heyer et al. 2009). If clumps are virialized and confined by self-gravity, a σv2/RΣ$\sigma_v^2/R$--$\Sigma$ plot should follow a power law with a scaling of πG5$\frac{\pi G}{5}$. (Kalari et al. 2018) suggests that the higher linewidth of the Stapler nebula clumps are a reflection of the external pressure necessary to bound them (Field et al. 2011). In Fig. 12 (right), we plot σv2/RΣ$\sigma_v^2/R$--$\Sigma$ using ΣH2$\Sigma_{H_2}$ obtained from 12CO emission (Table 4). The resolved clumps are closer to the self-gravity line than those identified by Kalari et al. (2018), but still lie above it within uncertainties. They remain consistent with external pressures of 106-107 cm-3 K (based on Field et al. 2011), aligning with the gas pressure of ~ (0.85 - 1.2) × 106 cm-3 K found in the region (Chevance et al. 2016). Unresolved clumps position above the self-gravity line, consistent with clumps found by Wong et al. (2022). All 30 Dor clumps, together with dense clumps from ATLASGAL, lie farther from the self-gravity line than LMC clouds (Wong et al. 2011) and the Milky Way (Heyer et al. 2009). In general, our clumps appear either unbound or bound by a combination of gravity and external pressure, similar to other clumps in 30 Dor (Indebetouw et al. 2013).

The origin of the elevated σv and external pressure for 30 Dor clumps can be attributed to radiation pressure and/or gas cloud collisions. Recent studies have shown that the formation of R136 was triggered by the fast (~ 100 kms-1) collision of two HI flows (Fukui et al. 2017; Maeda et al. 2021). Our clumps are located in what corresponds to the bridge gas layer formed by this collision (the I-component in Tsuge et al. 2024), and the velocity range of all our clumps (~50 km s-1 difference) is consistent with both the velocity difference between the colliding clouds in Fukui et al. (2017), and the velocity range of the bridge. This suggests that the higher σv of the 30 Dor clumps originates from this initial collision, which has been suggested to come from the tidal interaction of the LMC with the SMC (Fujimoto & Noguchi 1990). Nevertheless, the external pressure onto the gas by the radiation of massive stars is an important factor for the compression of these clumps, given their proximity to R136 (Chevance et al. 2016). Although the external gas pressure by collision found in Tsuge et al. (2024) is in the order of 106 K cm-3, similar to the gas pressure found by Chevance et al. (2016), Lopez et al. (2011) found that the radiation pressure is also around 106 K cm-3 and dominates the gas pressure within a few tens of parsec from R136. It is possible that both compression and radiation pressure shape the equilibrium state of these clumps.

In summary, the Stapler nebula clumps exhibit properties similar to other clumps in 30 Dor and massive dense clumps in the Milky Way, showing increased turbulence compared to typical LMC clouds but comparable to clumps elsewhere in 30 Dor. This suggests that dense clumps in 30 Dor are not substantially different from clumps in other regions except for increased levels of turbulence, consistent with findings by Indebetouw et al. (2013); Indebetouw et al. (2020) and Grishunin et al. (2024). Despite theoretical models predicting molecular gas evacuation within 10-15 pc of R136 (Dale et al. 2012), clumps approximately 10 pc from R136’s center (Chevance et al. 2016) not only survive but have similar turbulence levels as clumps farther away and form stars (Sect. 5.6), suggesting that YMC feedback may not be so effective in disrupting surrounding gas and subsequent star formation (see Krumholz et al. 2019, and references within).

thumbnail Fig. 12

Relationships between physical properties of our sample, together with results in this same region found in Kalari et al. (2018), in 30 Dor from Wong et al. (2022) with ~ 1″ resolution, in the LMC from Wong et al. (2011 ), in Milky Way clouds from Heyer et al. (2009) and inner Galaxy dense clumps from ATLASGAL (Urquhart et al. 2018). Our CPROPS clumps are shown in red and black in both plots. The filled circles represent completely resolved clumps, whereas the empty diamonds correspond to clumps that have one unresolved axis. Left: R vs σv relationship for molecular clouds in the LMC and the Milky Way. The black line represents the canonical relation σv = 0.72R0.5, followed by the Milky Way clouds (Solomon et al. 1987), whereas the dash-dotted line marks the relation found in Wong et al. (2022). Right: σv2/R$\sigma_v^2/R$ vs ΣH2 relationship for molecular clouds in different galaxies, including our results and other regions in 30 Dor, the LMC, and the Milky Way. The solid black line represents the approximate σv2/R$\sigma_v^2/R$ value for increasing ΣH2$\Sigma_{H_2}$ of a centrally concentrated, virialized clump confined only by self-gravity. The dashed lines represent the relation between σv2/R$\sigma_v^2/R$ and ΣH2$\Sigma_{H_2}$ for clumps with σv affected by self-gravity and external pressure, covering the range P/kB = 103-109 cm-3 K (Field et al. 2011).

5.4 Comparison between clumps in R136 and regions in the LMC and Milky Way

We investigated if the physical and chemical properties of our clumps are comparable to those in other regions of the LMC and of massive dense clumps in our Galaxy. We compared the properties and line ratios of clumps near R136 with other clumps in the LMC, including 30 Dor (Indebetouw et al. 2013; Minamidani et al. 2011; Rubio et al. 2009), N113 (Seale et al. 2012; Paron et al. 2014), N159 (Minamidani et al. 2011; Paron et al. 2016), and N11 (Celis Peña et al. 2019). N113 and N159 are the only other regions where 13CO, CS, HCO+, and HCN have been detected in the 345 GHZ window in the LMC. We compared also with dense clumps found in the inner Galaxy from ATLASGAL (Urquhart et al. 2018) and CHIMPS (Rigby et al. 2019) surveys. We note that some of these works detect CO in a lower excitation transition (e.g., 12CO3-2 instead of 2-1, Indebetouw et al. 2013), which require, for instance, higher excitation temperatures.

The excitation temperatures (Tex) obtained from 12CO J = 3-2 emission in our sample are lower than Tex sampled in other 30 Dor regions but comparable to less bright HII regions in the LMC. The range of Tex is consistent, albeit reaching slightly higher temperatures in our resolved clumps (about 10 K more) than the Tex distribution in clumps within the inner Galactic plane (Rigby et al. 2019). Clump 2 shows the highest Tex at 33.39 K, while 30Dor-10 regions exhibit Tex between 40-60 K (Indebetouw et al. 2013). This difference is expected, as 12CO J = 3-2 emission in 30Dor-10 exceeds 12CO J = 2-1 emission near R136 by a factor of five (Kalari et al. 2018). Clumps 17, 18, 22, and 23 have Tex values similar to N113 (~ 20 K Paron et al. 2014), while clumps 8, 10 to 12, 14, and 15 show values (7-13 K) comparable to N11 clumps (Celis Peña et al. 2019). The lower temperatures are likely a result of a low beam filling factor, due to the unresolved nature of our clumps.

Column densities N(H2) and N(13CO) in our clumps are lower than in other 30 Dor clumps, though the brightest clump in our sample have densities comparable to other LMC regions. N(13CO) in 30Dor-10 reaches (1-5) × 1016 cm-2 (Indebetouw et al. 2013), an order of magnitude higher than our study. Only clump 2, the farthest from R136 in projection and one of few resolved clumps, has comparable densities with N(13CO) = 1.32 ± 0.13 × 1016 cm-2 and N(H2) = 2.23 × 1022 cm-2. The northwest-southeast diagonal structure clumps (2, 16, 17, 18, 22, and 23) have N(H2) between (0.6-2.4) × 1022 cm-2, similar to N(H2) peak column densities found in the N11 region (Celis Peña et al. 2019) and within the range observed by Urquhart et al. (2018) in Milky Way clumps. Lower column densities do not necessarily indicate lower volume densities. Based on LVG modeling and I12COI13CO$\frac{I_{^{12}{CO}}}{I_{^{13}{CO}}}$ line ratios, our clumps have estimated volume densities n(H2) ≈ 103-104 cm-3. The detection of CS and HCN, which require densities of at least ~ 107 cm-3, suggests density increases inside the clumps that our observations cannot fully resolve.

Our I12COI13CO$\frac{I_{^{12}{CO}}}{I_{^{13}{CO}}}$ line ratios (3.9-10.3) align with those found in other 30Dor clumps (5.5-8.2 but with ~ 10 pc resolution, Minamidani et al. 2011) and N11 (6.5-13, Celis Peña et al. 2019). Only clumps 11 and 12 show higher ratios (10.3 and 9.7), while clumps 2 and 8 have ratios below 5. These ratios are also consistent with N159 and N113 (5.5-8.2, Minamidani et al. 2011; Paron et al. 2016, 2014), with clumps 11 and 12 showing ratios similar to less bright H II regions N132 and N166 (Paron et al. 2016, 10.31 and 11.14, respectively).

The ICSI13CO$\frac{I_{CS}}{I_{^{13}{CO}}}$ ratios in most of the northwest-southeast diagonal structure are similar to N113 (~ 0.06, Paron et al. 2014), except clumps 22 and 23, which have lower ratios (0.02 and 0.05) and are most similar to N159 (~ 0.03, Paron et al. 2016). Assuming both molecules’ emission are optically thin, the lower ratio potentially indicates lower densities. Clump 10 has a notably higher ratio (0.22), suggesting higher density. The IHCNI13CO$\frac{I_{HCN}}{I_{^{13}{CO}}}$ ratios indicate a similar tendency: IHCNI13CO$\frac{I_{HCN}}{I_{^{13}{CO}}}$ ratios in most of our clumps (0.11-0.34) are 2-6 times higher than in N159 and N113 (0.060.07, Paron et al. 2014, 2016), while clumps 22 and 23 show lower ratios (0.02 and 0.04), consistent with their lower derived column densities N(H2) (Table 5). The IHCO+IHCN$\frac{I_{HCO^{+}}}{I_{HCN}}$ ratios (mostly between 3.5-6.3) are comparable to N113 (about 4.8) but lower than N159 (about 8.7, Paron et al. 2016), with clump 22 being an exception (12.2). Lower IHCO+)IHCN$\frac{I_{HCO^{+})}}{I_{HCN}}$ ratios correlate with higher volume density and star formation, as seen in clumps 10 and 17 (ratios of 3.51 and 4.62) which are associated with young stellar objects (YSOs). This is consistent with Seale et al. (2012), where a lower HCO+/HCN ratio (both in the J = 1-0 transition) correlates to a higher volume density.

In summary, molecular clumps near R136 share similar chemical and physical properties with other LMC regions. We suggest the Stapler nebula is eroded by photoionizing radiation from R136, with only the densest clumps surviving, as density can hinder the dispersal of gas (Dale et al. 2012; Krumholz et al. 2019). Once these clumps withstand photoionization, protected by their density and possibly bound by external pressure, they develop similarly to other Molecular Cloud clumps.

thumbnail Fig. 13

Mgasdust$M_{gas}^{dust}$ plotted against the ratio Mgasdust/Mvir$M_{gas}^{dust}/M_{vir}$. We include the ratios found by Bot et al. (2007) in the SMC (cyan), Herrera et al. (2013) in N11 (blue), and Milky Way values calculated in Bot et al. (2007) (green). The clumps are labeled according to their 0.88 mm continuum labels. The horizontal black line marks the Mgasdust/Mvir=1$M_{gas}^{dust}/M_{vir}=1$ equality.

5.5 Gas and dust emission with respect to the LMC

Our analysis in Sect. 4.5 revealed that areas covered by 12CO emission exceed those covered by the same clumps in 0.88 mm continuum. This contradicts expectations for low metallicity environments, where a larger H2 envelope not traced by 12CO should be better traced by dust (Bolatto et al. 2013). This differs from findings in the N11 region, where dust and 12CO emissions have similar extensions Herrera et al. (2013), and from the SMC, where 12CO emission covers smaller areas than 1.2 mm continuum (Rubio et al. 2004; Bot et al. 2007). These discrepancies likely stem from observational limitations. Both continuum and 12 CO images show negative emission bowls, particularly visible in 12CO channel maps (Fig. 4), indicating missing flux at extended scales. Additionally, the 0.88 mm ALMA continuum has significant free-free emission contribution (Sect. 4.4.1). Total Power (TP) observations would be necessary to detect extended continuum emission.

The mass ratios Mvir/MgasCO$M_{vir}/M_{gas}^{\rm CO}$, MvirA880μm/Mgasdust$M_{vir}^{A_{880\mu m}}/M_{gas}^{dust}$, and MgasCO,A880μm/Mgasdust$M_{gas}^{CO,A_{880\mu m}}/M_{gas}^{dust}$ are comparable to those found in the LMC but differ from SMC results. Our ratios align with those from N11, the LMC’s second brightest nebula (Herrera et al. 2013). The observation that MgasCO,A880μm/Mgasdust1$M_{gas}^{CO,A_{880\mu m}}/M_{gas}^{dust}\lesssim1$ (except for clump A) while Mvir/MgasCO,A880μm>1$M_{vir}/M_{gas}^{CO,A_{880\mu m}}>1$ for resolved CO clumps supports the possibility that we’re not sensitive to the complete dust emission. Nevertheless, given the large uncertainties in Mgasdust$M_{gas}^{dust}$, the differences between Mvir, MgasCO$M^{CO}_{\mathrm{gas}}$ and Mgasdust$M_{gas}^{dust}$ values fall within a factor of 2-3, indicating rough consistency (Table 10). These variations may be explained by our assumptions for αco in calculating MgasCO$M^{CO}_{\mathrm{gas}}$, for κ in determining Mgasdust$M_{gas}^{dust}$, and the virial equilibrium assumption for Mvir.

Figure 13 compares our MvirA880μm/Mgasdust$M_{vir}^{A_{880\mu m}}/M_{gas}^{dust}$ values with those from the LMC (Herrera et al. 2013), SMC, and Milky Way (Bot et al. 2007). Our results differ from the SMC, where virial masses are lower than dust-derived gas masses, and align with the Milky Way and LMC patterns, where virial masses are higher. All LMC clumps in the sample fall below the Mgasdust/Mvir=1$M_{gas}^{dust}/M_{vir}=1$ line. This may relate to the SMC’s lower metallicity (about 1/5Z, Lee et al. 2005) compared to the LMC 1/5 Z), causing CO areas to shrink and trace less mass (Bolatto et al. 2013, and references within). A limitation of this interpretation is the difference in beam sizes between our study (4.7″) and Bot et al. (2007) (24″), so we are not necessarily comparing the same kinds of structures (clouds instead of clumps).

Reducing uncertainty in Mgasdust$M_{gas}^{dust}$ would improve our MgasCO/Mgasdust$M^{\rm CO}_{\mathrm{gas}}/M_{gas}^{dust}$ and Mvir/Mgasdust$M_{vir}/M_{gas}^{dust}$ ratio estimates. This requires multiple images across millimeter to centimeter wavelengths to properly fit dust and free-free emission, along with deeper ALMA observations and single-dish data to recover extended emission.

thumbnail Fig. 14

Velocity integrated image of 12CO emission between 235 and 250 km s-1 . The white dashed ellipses represent the position and sizes of the major and minor axes of clumps found in Sect. 3.1. The black labels over the ellipses correspond to the ID number of each clump. The white stars indicate the YSOs from the Nayak et al. (2023) catalog. The green stars indicate the YSOs identified in Kalari et al. (2018). The red points indicate the IR sources from the Rubio et al. (1998) catalog. The black ellipse in the bottom left corner represents the beam size.

5.6 Association of gas and dust with YSOs

The Stapler nebula shows active star formation, in particular in the middle of the diagonal structure (Kalari et al. 2018). We determined which of our clumps are correlated with YSOs and embedded infrared sources. Figure 14 shows the velocity integrated image between 235 and 250 km s-1 of the 12CO line emission cube, together with the clumps obtained using CPROPS that lay in the diagonal structure plus clumps 10, 11, 14 and 15, recognized YSO candidates in the region from Nayak et al. (2023) and Kalari et al. (2018), and infrared sources from Rubio et al. (1998). There are several identified YSO in our field of view, but only three YSO candidates and one IR source coincide with our observed 12CO emission and are all concentrated in the central region of our observations. The three YSO candidates coincide with clumps detected in HCN, which has the highest critical density of our sample (Table 1), and thus associated with some of the densest clumps in the region.

The YSO candidate Y26 from Nayak et al. (2023) is associated with clump 15/continuum source C. This YSO was first identified as a YSO candidate in Gruendl & Chu (2009) (source 053839.24-690552.3), and coincides with two NIR sources, IRSW-118 and IRSW-125 (Rubio et al. 1998), but they could not associate the candidate with one specific NIR source due to the resolution of Spitzer’s IRAC images (2″). Clump 15 has the largest contribution of free-free emission to the 880 continuum ALMA flux as presented in Sect. 4.4.1: the source has been associated with an optical counterpart, P702 (Parker 1993), classified as an O9.5 type star. Therefore, this YSO could be the ionizing source that produces the higher free-free emission associated to this clump with respect to the rest of the region (Walborn et al. 2014).

Kalari et al. (2018) identified two YSO candidates (KN2-A and KN2-B) in the region they labeled Knot 2, which we resolve into three clumps (16 to 18). The properties of the clumps are consistent with the difference in developments stage of these two YSO, evaluated using the Robitaille (2017) spectral energy distribution (SED) fitting and the SED slope in the IR. Clump 16 coincides with KN2-B, classified as a massive Class 0 protostar by Kalari et al. (2018). This clump is the brightest in 12CO and 13CO emission of the three clumps, and also shows CS and HCN emission, which correlates with this protostar being the most embedded. On the other hand, KN2-A (corresponding to IR source IRSW-127 in Rubio et al. 1998), which is associated with clumps 17 and 18 in our work, is classified as Class II, older than KN2-B and not embedded. Thus, this YSO is possibly outside these clumps, corroborating the picture of Knot 2 from Kalari et al. (2018).

There is an IR source in the intersection of clumps 10, 11 and 14. This source, IRSW-105, has very little IR excess in the (J - H) v/s (H - Ks) color-color diagram and its colors are consistent with a highly reddened O3 V type star (Rubio et al. 1998). It is possible that the clumps are in front of these source and are responsible for its reddening.

There are other YSO in the field of view, but these are not associated with clumps in this work. Clump 2 was classified as a starless dust core in Gruendl & Chu (2009). There is a YSO candidate from Nayak et al. (2023) approximately 2 pc away from the clump center, but it does not fall within the clump radius.

6 Summary and conclusions

In this work, we present ALMA Band 7 observations with ~1 pc resolution. Our ALMA map detects 24 12CO J = 3-2 clumps, the brightest and densest of which lie in the region identified as the “Stapler Nebula” by Kalari et al. (2018), seen as a dark lane in previous HST observations. New CO clumps are identified outside of this region, one of which shows star formation activity (clump 15). The molecular clumps are found at a projected distance between 2 and 13 pc from R136 and several these clumps are barely resolved at our resolution. We detect for the first time HCO+ J = 4-3 and HCN J = 4-3 in these clumps. We summarize the main results of this work in the following.

Detection of all the molecular species observed, 13CO J = 3-2, CS J = 7-6, HCO+ J = 4-3, and HCN J = 4-3 was found in only six clumps of the 24 12CO J = 3-2 clumps. These six clumps are located in the northwest-southeast diagonal optical dark lane. CS J = 7-6 and HCN J = 4-3 emission in these clumps suggests high density (106 cm-3 < n < 108 cm-3). Using our results for 12CO J = 3-2 and 13CO J = 3-2 molecular emission, we calculated the excitation temperatures Tex and the H2 column densities N(H2) of our clumps, assuming LTE. The resulting N(H2) for our sample ranges from 4.2 to 23.7 × 1021 cm-2. The dust continuum map at 0.88 mm shows emission with a similar spatial distribution as the molecular line emission. The continuum emission mapped by ALMA is dominated by the free-free emission, contributing between 50 and 85% of the total 0.88 mm continuum flux, as expected from an HII region.

We compared the clump masses obtained through the different methods. The virial masses, gas masses derived from CO luminosity and also from dust emission were determined in the same area for each cloud observed in continuum emission to make the comparison. We found that the virial masses in this case are approximately two to five times higher than the gas masses obtained from dust emission in the same area, which is consistent with previous findings in the LMC. Virial masses are the highest because the velocity dispersion of the clumps is a measure of both the mass and external gas pressure. The Mvir/Mgasdust$M_{vir}/M_{gas}^{dust}$ ratios are similar to these comparisons in other regions in the LMC. Gas masses obtained from dust emission are similar to the gas masses obtained from CO luminosity, when using a fixed conversion factor of α12CO=8.4±3.0M(K km s1 pc2)1$\alpha_{^{12}{\rm CO}}=8.4\pm3.0$ M$_{\odot}$ (K~km~s$^{-1}$~pc$^{2}$)$^{-1}$.

The line ratios of the clumps are similar to line emission ratios found in studies in 30 Dor and other H II regions in the LMC. This suggests that the physical and chemical properties of the studied clumps near R136 are similar to other molecular clumps located in 30 Dor farther away from R136. We suggest that these clumps are the densest parts of a Molecular Cloud that has been carved by the strong radiation from R136, reflected in the fact that they are detected in molecular transitions with high critical densities. These high densities allow the birth of a new generation of stars, at distances less than 20 pc away from R136. These results present constraints on the physical conditions in which dense star-forming molecular gas is affected (or not) by ionizing and mechanical feedback of early-type stars, which can further inform newer models of stellar feedback affecting star formation.

Deeper ALMA observations, together with Total Power array observations, would allow us to resolve the molecular clumps in 0.88 mm continuum. Further work using non-LTE models such as RADEX could be applied to better quantify the densities volume densities and kinetic temperatures of the clumps found in this work.

Acknowledgements

Acknowledgements. We thank the anonymous referee for their constructive comments on the manuscript. We thank Alejandra Meza for helping with the CO clump cross-matching to Wong et al. (2022) clumps. M.T.V.-M. gratefully acknowledges financial support from ANID (CONICYT) through the scholarship CONICYT-PFCHA/Magister Nacional 2018 - 22180279, support from the Max Planck Society, and sponsorship provided by the European Southern Observatory through the Research Fellowship program. M.R. wishes to acknowledge support from ANID(CHILE) through FONDECYT grant No. 1190684 and partial support from Basal FB210003. R.I. was partially supported for this work by NSF AAG award 2009624. This paper makes use of the following ALMA data: ADS/JAO.ALMA#2017.1.00368.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. This research made use of Astropy (http://www.astropy.org), a community developed core Python package for Astronomy.

Appendix A Gaussian fitting method

We obtained the properties of clumps labeled 7, 8, 16, 17, and 18 in the final catalog (Table 2) using Gaussian fitting. Clumps 7 and 8 were identified by CPROPS as one clump, whereas clumps 16, 17 and 18, although identified as separate sources, are blended along the line of sight.

For clumps 7 and 8, we first integrated the 12CO line cube between 223.6 and 230.2 km s-1. We then obtained the integrated spectrum by adding up all spectra inside the image’s 3σ contour (for this integrated image, σ = 0.3 Jy beam-1 km s-1). The integrated spectrum (Fig. A.1 top right) is best fit with two Gaussian components. We thus consider this source as two different clumps which are separated in velocity but are located in the same line of sight. Component 0 corresponds to clump 8 and component 1, to clump 7 from Table 2. To determine the properties of clumps 7 and 8, we integrated the 12CO line cube in the range (v - 2σv, v + 2σv) for each clump, where v and σv are the central velocity and dispersion obtained for the individual Gaussian components (reported in Table 2)). From these images we determined the central position and the major and minor axes of the clumps using the same moment method employed in CPROPS, described in Rosolowsky & Leroy (2006). The resulting sizes and luminosities are reported in Table 2.

For clumps 16, 17, and 18, first we integrated the 12CO line cube in the velocity range between 236.7 and 250.9 km/s, where we identified two sources, as shown in the bottom left panel of Fig. A.1. We obtained the spectra of each source by adding up all the spectra inside the area of each clump, defined as the 3σ contour of the integrated intensity (σ = 2.6 Jy beam-1 km s-1). The spectra of the northwestern source (encircled in cyan), shown in Fig. A.1 center right, is well fitted using one Gaussian component with a central velocity of v = 244.40 km s-1 and a velocity dispersion σv = 1.34 kms-1. This source is labeled as clump 16. On the other hand, the spectra of the southern source (encircled in red), shown in Fig. A.1 bottom right, is best fitted with 4 Gaussian components. Gaussian components 1 and 3 (the orange and red lines in Fig. A.1 bottom right) correspond to clumps 18 and 17, respectively, identified by CPROPS. Components 0 and 2 correspond to clumps 16 and 12, respectively, identified through visual inspection of the 12CO line cube. We determined the properties of clumps 16, 17, and 18 using the same procedure as for clumps 7 and 8.

thumbnail Fig. A.1

Velocity integrated 12CO images in the locations of the five clumps we characterize manually (nos. 7, 8 , 16, 17, and 18), together with the integrated spectra in the delimited areas. Black points in the spectra correspond to the line emission data and colored lines correspond to the Gaussian fits to each clump. Top: 12CO emission integrated between 223.6 and 230.9 km/s (left), together with the integrated spectra in the red region in the integrated image (right). Gaussian component 0 (blue line) corresponds to emission from clump 8, and component 1 (orange line) to clump 7. Bottom: 12CO emission integrated between 236.7 and 250.9 km/s (left), together with the integrated spectra in the cyan and red regions marked in the integrated image (right). The integrated spectra at the top right corresponds to the spectra inside the cyan area. The integrated spectra at the bottom right corresponds to the one inside the red area. Gaussian component 0 (blue lines) from both spectra show line emission from clump 16 from Table 2. Gaussian component 2 (green line) from the bottom right spectra corresponds to emission from clump 22. Components 1 and 3 (orange and red lines) from the bottom right spectra corresponds to emission from clumps 18 and 17, respectively.

Appendix B CPROPS detections in 13CO, CS, HCO+, and HCN

Tables B.1 to B.4 list the detected clumps in the 13CO, CS, HCO+, and HCN ALMA line cubes, with the same parameters as those stated in Sect. 3.1. We selected those emissions that, according to CPROPS, have S/N > 5, and manually inspected the results to leave out false detections. We then matched the emissions found in each molecule with its corresponding clump detected in the 12CO line cube, according to their position (α, δ) and central velocities v. We report the properties obtained through CPROPS for each molecule: α, δ, v, velocity FWHM Δv, peak temperatures Tpeak, deconvolved radii Rdc and not deconvolved radii R, and luminosities of each molecular species.

The radii were calculated from the second moments of emission along the major and minor axes of the clumps, delivered by CPROPS. For unresolved clumps (i.e., one or both of the second moments of emission of the clump are smaller than σbeam, Sect. 4.1), we used Equation 5 to calculate the upper limit to the deconvolved radius.

In the case of clump 11, we added a detection in 13CO which is not detected by CPROPS but is detected after a manual inspection of the 13CO line cube. We do not attempt to characterize its size in this work.

Table B.1

Molecular clumps detected in the 13CO line cube.

Table B.2

Molecular clumps detected in the CS line cube

Table B.3

Molecular clumps detected in the HCO+ line cube.

Table B.4

Molecular clumps detected in the HCN line cube.

Appendix C Molecular line spectra for each CO clump

Figures C.1, C.2, C.3 and C.4 show the best fit Gaussian profiles for the detected molecules in each clump, used to obtain the integrated line intensities in Sect. 4.3.

thumbnail Fig. C.1

12CO spectra at the peak positions of each clump. The original spectra are shown in solid black lines and the best Gaussian (or Gaussians) fit is shown in dashed colored lines.

thumbnail Fig. C.2

Same as Fig. C.1 but for 13CO.

thumbnail Fig. C.3

Same as Fig. C.1 but for HCO+.

thumbnail Fig. C.4

Same as Fig. C.1 but for CS (left) and HCN (right).

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2

xd(⊙) ~ 0.007 (Draine et al. 2007).

All Tables

Table 1

Characteristics of the resulting line emission cubes.

Table 2

12CO Clump detections via CPROPS.

Table 3

Properties of the clumps derived from the ALMA 0.88 mm image.

Table 4

Physical properties of the 12CO clumps in 30 Dor.

Table 5

Physical properties of clumps derived through an LTE analysis of 12CO and 13CO emission.

Table 6

Integrated line intensities I=Tvdv$I=\int T_v dv$ for each of the clumps.

Table 7

Intensity line ratios calculated using the results shown in Table 6.

Table 8

Free-free emission fluxes, resulting dust emission fluxes Sdust and total gas masses Mgasdust$M_{gas}^{dust}$ for each clump.

Table 9

Velocity ranges and rms values of the integrated 12CO images.

Table 10

Luminosity and gas masses traced by 12CO emission, dust emission, and their ratios.

Table B.1

Molecular clumps detected in the 13CO line cube.

Table B.2

Molecular clumps detected in the CS line cube

Table B.3

Molecular clumps detected in the HCO+ line cube.

Table B.4

Molecular clumps detected in the HCN line cube.

All Figures

thumbnail Fig. 1

Moment 0 contours of the 12CO J = 3-2 ALMA observations used in this work, plotted over a B/V/I Hα image from the Hubble Space Telescope (HST). Contours correspond to 3, 5, 10, 20, and 30 times the rms (= 4.92 Jy beam-1 km s-1) of the 12CO integrated image between 217 and 285 km s-1. The dashed line marks the area covered by the ALMA observations.

In the text
thumbnail Fig. 2

ALMA 0.88 mm continuum image of 30 Dor in the vicinity of R136, together with the moment 0 maps of the molecules observed in this work. The moment 0 images are made integrating each molecular emission between 217 and 285 km s-1. Each molecule and image is labeled in the top part. The black scale bar represents a 2 pc length. The red ellipse represents the beam size. In the top left panel (continuum), the red cross marks the center of the R136 YMC.

In the text
thumbnail Fig. 3

Flowchart of the process to identify the clumps in the ALMA 12CO data.

In the text
thumbnail Fig. 4

12CO channel maps between 215 and 265 km s-1 with the clumps found using CPROPS. The major and minor radii of the ellipses correspond to 1.91σmaj and 1.91σmin, where σmaj and σmin are the extrapolated (not deconvolved) second moments of emission along the major and minor axes of the clumps, obtained using CPROPS except for clumps 7, 8, 16, 17, and 18, which were obtained as described in Appendix A. The black ellipse in the lower right corner represents the beam size. The scale bar represents a length of 2 pc.

In the text
thumbnail Fig. 5

Central position of the clumps found in 12CO, 13CO, CS, HCO+, and HCN, plotted over contours of the peak main beam temperature of 12CO. The contours correspond to 5, 10, 100, and 200 times the rms of the 12CO line emission (47 mK). The blue crosses mark the central position of the clumps found in the 12CO in Sect. 3.1. The yellow arrowheads point toward the central positions of the 13CO clumps. The green arrowheads point toward the central positions of the CS clumps. The red arrowheads point toward the central positions of the HCO+ clumps. The purple arrowheads point toward the central positions of the HCN clumps. The red ellipse in the lower right corner represents the beam size.

In the text
thumbnail Fig. 6

ALMA 0.88 mm continuum image of the vicinity of R136. The white contours represent 1.5, 3, 4, and 5 σ levels (σ = 4 mJy/beam), with labels indicating the contours that correspond to clumps A, B, C, D, E, and F. The red ellipse in the lower right corner represents the beam size. The scale bar in the upper left corner represents a 2 pc length.

In the text
thumbnail Fig. 7

Relationship between the virial mass Mvir and the 12CO J = 1-0 luminosity L12CO(10)$L_{^{12}{\rm CO}(1-0)}$. The L12CO$L_{^{12}{\rm CO}}$ luminosities are transformed to L12CO(10)$L_{^{12}{\rm CO}(1-0)}$ using R32102$R_{\frac{3-2}{1-0}}{\sim}2$ (Johansson et al. 1998). The filled red circles correspond to completely resolved clumps, whereas the empty red circles correspond to clumps where the minor axis is unresolved. The dashed line represents the relationship found for molecular clouds in the first Galactic quadrant by Solomon et al. (1987), Mvir=39(L12CO(10))0.81$M_{vir}=39(L_{^{12}{\rm CO}(1-0)})^{0.81}$.

In the text
thumbnail Fig. 8

Free-free emission image generated from Brγ emission. The white dashed contours are the 0.88 mm continuum contours from Fig. 6. The scale bar at the top left represents a 2 pc length. The black ellipse shows the resolution of the free-free image after convolution.

In the text
thumbnail Fig. 9

Velocity integrated images of 12CO emission for clumps 2, 15, 16, 17, 18, 22, and 23, together with the corresponding dust continuum contours. The areas of all gas clumps are larger than the areas covered by dust. The red contours correspond to 3, 5, and 10σ, where σ is the rms of each velocity integrated image (Table 9). The white contours correspond to the 1.5 and 3σ contours of the ALMA 0.88 mm continuum image, as in Figure 6.

In the text
thumbnail Fig. 10

Observed properties of the clumps obtained from 12CO emission, with respect to projected distance to R136a1. The red points represent the fully resolved clumps from Table 4, whereas the empty black diamonds show the clumps where one axis is unresolved. The black horizontal line represents the vLSR of the R136 cluster (Evans et al. 2015).

In the text
thumbnail Fig. 11

Observed properties of the clumps obtained through LTE analysis, with respect to projected distance to R136a1. The colors are the same as in Fig. 10.

In the text
thumbnail Fig. 12

Relationships between physical properties of our sample, together with results in this same region found in Kalari et al. (2018), in 30 Dor from Wong et al. (2022) with ~ 1″ resolution, in the LMC from Wong et al. (2011 ), in Milky Way clouds from Heyer et al. (2009) and inner Galaxy dense clumps from ATLASGAL (Urquhart et al. 2018). Our CPROPS clumps are shown in red and black in both plots. The filled circles represent completely resolved clumps, whereas the empty diamonds correspond to clumps that have one unresolved axis. Left: R vs σv relationship for molecular clouds in the LMC and the Milky Way. The black line represents the canonical relation σv = 0.72R0.5, followed by the Milky Way clouds (Solomon et al. 1987), whereas the dash-dotted line marks the relation found in Wong et al. (2022). Right: σv2/R$\sigma_v^2/R$ vs ΣH2 relationship for molecular clouds in different galaxies, including our results and other regions in 30 Dor, the LMC, and the Milky Way. The solid black line represents the approximate σv2/R$\sigma_v^2/R$ value for increasing ΣH2$\Sigma_{H_2}$ of a centrally concentrated, virialized clump confined only by self-gravity. The dashed lines represent the relation between σv2/R$\sigma_v^2/R$ and ΣH2$\Sigma_{H_2}$ for clumps with σv affected by self-gravity and external pressure, covering the range P/kB = 103-109 cm-3 K (Field et al. 2011).

In the text
thumbnail Fig. 13

Mgasdust$M_{gas}^{dust}$ plotted against the ratio Mgasdust/Mvir$M_{gas}^{dust}/M_{vir}$. We include the ratios found by Bot et al. (2007) in the SMC (cyan), Herrera et al. (2013) in N11 (blue), and Milky Way values calculated in Bot et al. (2007) (green). The clumps are labeled according to their 0.88 mm continuum labels. The horizontal black line marks the Mgasdust/Mvir=1$M_{gas}^{dust}/M_{vir}=1$ equality.

In the text
thumbnail Fig. 14

Velocity integrated image of 12CO emission between 235 and 250 km s-1 . The white dashed ellipses represent the position and sizes of the major and minor axes of clumps found in Sect. 3.1. The black labels over the ellipses correspond to the ID number of each clump. The white stars indicate the YSOs from the Nayak et al. (2023) catalog. The green stars indicate the YSOs identified in Kalari et al. (2018). The red points indicate the IR sources from the Rubio et al. (1998) catalog. The black ellipse in the bottom left corner represents the beam size.

In the text
thumbnail Fig. A.1

Velocity integrated 12CO images in the locations of the five clumps we characterize manually (nos. 7, 8 , 16, 17, and 18), together with the integrated spectra in the delimited areas. Black points in the spectra correspond to the line emission data and colored lines correspond to the Gaussian fits to each clump. Top: 12CO emission integrated between 223.6 and 230.9 km/s (left), together with the integrated spectra in the red region in the integrated image (right). Gaussian component 0 (blue line) corresponds to emission from clump 8, and component 1 (orange line) to clump 7. Bottom: 12CO emission integrated between 236.7 and 250.9 km/s (left), together with the integrated spectra in the cyan and red regions marked in the integrated image (right). The integrated spectra at the top right corresponds to the spectra inside the cyan area. The integrated spectra at the bottom right corresponds to the one inside the red area. Gaussian component 0 (blue lines) from both spectra show line emission from clump 16 from Table 2. Gaussian component 2 (green line) from the bottom right spectra corresponds to emission from clump 22. Components 1 and 3 (orange and red lines) from the bottom right spectra corresponds to emission from clumps 18 and 17, respectively.

In the text
thumbnail Fig. C.1

12CO spectra at the peak positions of each clump. The original spectra are shown in solid black lines and the best Gaussian (or Gaussians) fit is shown in dashed colored lines.

In the text
thumbnail Fig. C.2

Same as Fig. C.1 but for 13CO.

In the text
thumbnail Fig. C.3

Same as Fig. C.1 but for HCO+.

In the text
thumbnail Fig. C.4

Same as Fig. C.1 but for CS (left) and HCN (right).

In the text

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