pith. machine review for the scientific record. sign in

arxiv: 2604.15734 · v1 · submitted 2026-04-17 · 🌌 astro-ph.GA

Recognition: unknown

A New Cloud-Cloud Collision Source N68 toward the G35 Molecular Cloud Complex

Authors on Pith no claims yet

Pith reviewed 2026-05-10 08:31 UTC · model grok-4.3

classification 🌌 astro-ph.GA
keywords formationstarcomplexmolecularclasscloud-cloudcollisionindicating
0
0 comments X

The pith

N68 is a new cloud-cloud collision site in the G35 complex where two molecular clouds are colliding, triggering massive star formation alongside collect-and-collapse and radiation-driven implosion processes.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Astronomers studied a semi-ring shaped structure called N68 inside a larger group of gas clouds known as the G35 complex. Using radio observations of carbon monoxide molecules, they detected two separate clouds of gas moving at different speeds: one between 47 and 56 kilometers per second and another between 56 and 64 kilometers per second. These clouds show broad connecting features in their velocity maps and fit together like puzzle pieces at their edges, which are classic signs that the clouds are currently colliding. The collision region contains many signs of new star formation, including ionized gas regions, maser emissions, young stars of different classes, and several O and B type stars. The authors argue that while the collision helps create massive stars, it does not make star formation more efficient overall than other processes like gas being swept up by expanding bubbles or compressed by radiation from existing stars. N68 is presented as part of a larger chain of similar collision events spanning about 100 parsecs.

Core claim

Bubble N68 shows clear cloud-cloud collision signatures with two distinct molecular clouds (N68a: 47-56 km s^{-1}; N68b: 56-64 km s^{-1}), broad bridge features, and complementary distributions; the CCC mechanism tends to trigger massive stars rather than enhance star formation efficiency.

Load-bearing premise

That the observed velocity components and morphological features unambiguously indicate a physical cloud-cloud collision rather than projection effects, internal turbulence, or unrelated overlapping clouds, and that the listed star formation tracers are causally linked to the collision.

Figures

Figures reproduced from arXiv: 2604.15734 by En Chen, Xi Chen.

Figure 1
Figure 1. Figure 1: Overview of the G35 complex. Panel (a) shows a Spitzer RGB-composite image (24, 8, and 3.6 µm) of the region surrounding MIR bubble N68. Panel (b) zooms in on region R1 in a Herschel RGB-composite (350, 160, and 70 µm). Overlaid on both panels are tracers of massive star formation: MAGPIS radio sources (green crosses), 6.7 GHz methanol masers (red pluses), ATLASGAL 870 µm peaks (blue squares), MSX MYSO can… view at source ↗
Figure 2
Figure 2. Figure 2: (a) Spitzer 24 µm and (b) Herschel 70 µm images with overlaid MAGPIS 20 cm contours (from 0.0008 to 0.0088 in steps of 0.0016 Jy beam−1 ) and NVSS 21 cm contours (from 0.02 to 0.22 in steps of 0.04 Jy beam−1 ) in magenta, respectively. The blue crosses and ellipses represent the peaks (markers from r1 to r9) and extents of the local clumps of the 20 cm radio continuum emission, respectively. These subregio… view at source ↗
Figure 3
Figure 3. Figure 3: Images of zoomed-in subregions B1 to B6 (as shown in [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: YSOs classification scheme based on the NIR/MIR color-magnitude diagrams (CMDs) and color-color diagrams (CCDs). Panel (a) presents the [3.6]–[24] vs. [3.6] color–magnitude diagram (CMD) employed in Method 1, with dashed lines separating Class I, Flat-spectrum, Class II, and Class III sources following Rebull et al. (2011). Panel (b) shows the [5.8]–[8.0] vs. [3.6]–[4.5] color–color diagram (CCD) for sourc… view at source ↗
Figure 5
Figure 5. Figure 5: Panel (a) Column density extracted from PPMAP. The white dotted contours indicate the 13CO moment 0 map integrated from 47 to 64 km s−1 with contour levels from 16 (3σ) to 56 K km s−1 in steps of 8 K km s−1 . The red open circles and black open triangles indicate the Class I and Class II YSOs identified in Section 3.2, respectively. The black squares indicate the ATLASGAL clumps. Panel (b) Column density e… view at source ↗
Figure 6
Figure 6. Figure 6: Overview of the average spectra and spatial distribution of the main components related to bubble N68. Panel (a) shows the average spectra of the R1 region. Green, black and red lines indicate the average spectra of 12CO, 13CO, and C18O, respectively. Blue, red and cyan dashed boxes highlight the three main gas components, namely N68a [47, 56], N68b [56, 64] and N68c [40, 47], respectively. Black arrows de… view at source ↗
Figure 7
Figure 7. Figure 7: Spectra and PV slices of N68. Panel (a) shows the integrated intensity 13CO (1-0) map of the region and the locations for extracting spectra. The contour levels start from 15 (3σ) to 55 K km s−1 in steps of 5 K km s−1 (1σ). The background image shows the 8 µm emission. The yellow box highlights the region of R1. The white dashed ellipse depicts the layout of the N68 bubble. The black pluses represent the A… view at source ↗
Figure 8
Figure 8. Figure 8: Position-Velocity (PV) maps of 13CO (1-0) gas of the R1 region. Panel (a) and (b) are l-PV and b-PV maps, respectively. Three prominent gas components, namely N68a, N68b and N68c, are highlighted by blue, red and cyan dashed boxes, respectively. The projection of bubble N68 is depicted by white dashed ellipse. The bridge features connecting N68a and N68b are marked by magenta arrows, which correspond to th… view at source ↗
Figure 9
Figure 9. Figure 9: Complementary distribution of N68a and N68b. The RGB-composite map with its R, G and B colors encoded by N65b, Spitzer−IRAC 8.0 µm and N65a, respectively. The solid blue contours indicate the 13CO integrated-intensity map of N65a, while the dashed red contours indicate that of N65b. The contour levels in the figure are drawn from 9 (3σ) to 45 K km s −1 in steps of 6 K km s−1 . exhibits a more extended stru… view at source ↗
Figure 10
Figure 10. Figure 10: Schematics of induced star formation mechanisms in terms of CC, RDI and CCC, respectively. fronts, and cloud-cloud collision (CCC) at the interface between two independent molecular clouds. The coexistence and interplay of these three mechanisms have collectively induced star formation across a wide range of masses within the R1 region of N68, from massive O/B-type stars to low- and intermediate-mass YSOs… view at source ↗
Figure 11
Figure 11. Figure 11: Overview of large scale gas distribution around the G35 complex. Panels (a) & (b) are 13CO l−PV and b−PV diagrams, respectively. The vertical dashed line divided the gas into three individual components, namely Cloud A [47, 55] km s−1 , Cloud B [55, 64] km s−1 and Cloud C [39, 47] km s−1 . The magenta, yellow and orange boxes indicate the counterpart gas with bubbles N68, N65 and N61, respectively. Panel … view at source ↗
read the original abstract

Bubble N68 in the G35 complex shows clear cloud-cloud collision (CCC) signatures. Its semi-ring-like morphology harbors many significant massive star formation tracers: 6 HII regions, 4 6.7 GHz masers, 5 Midcourse Space Experiment sources, 9 radio peaks, and nearly 10 O/B-type stars. We also identified 163 young stellar objects (45 Class I, 5 Flat, 113 Class II), indicating active star formation toward N68. Our molecular study with CO reveals two distinct molecular clouds (N68a: 47-56 km s$^{-1}$; N68b: 56-64 km s$^{-1}$), with broad bridge features and complementary distributions at their borders, indicating an ongoing CCC. Star formation in N68 is collectively driven by collect-and-collapse (CC), radiation-driven implosion (RDI), and CCC mechanisms. However, compared with the CC and RDI mechanisms, the CCC mechanism does not enhance the star formation efficiency; instead, it tends to trigger the formation of massive stars. N68, along with bubbles N65 and N61, constructs a $\sim100$ pc scale CCC system in the G35 complex.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The manuscript identifies bubble N68 in the G35 molecular cloud complex as a new cloud-cloud collision (CCC) source. Using CO observations, it reports two distinct velocity components (N68a: 47-56 km s^{-1}; N68b: 56-64 km s^{-1}) exhibiting broad bridge features and complementary spatial distributions at their borders. The paper catalogs extensive massive star formation tracers (6 HII regions, 4 6.7 GHz masers, 5 MSX sources, 9 radio peaks, ~10 O/B stars, and 163 YSOs) and concludes that star formation is collectively driven by collect-and-collapse (CC), radiation-driven implosion (RDI), and CCC, with CCC preferentially triggering massive stars without enhancing overall star formation efficiency relative to CC/RDI. N68 is proposed as part of a ~100 pc-scale CCC system with bubbles N65 and N61.

Significance. If the kinematic interpretation is robustly supported, the work adds a well-documented case to the observational literature on CCC-triggered massive star formation in Galactic molecular complexes. The comparative assessment of CCC versus CC/RDI effects on star formation modes and the suggestion of a large-scale interconnected system could inform models of triggered star formation and cloud dynamics on ~100 pc scales.

major comments (3)
  1. [§3] §3 (Molecular observations and kinematics): The broad bridge features and complementary distributions are described qualitatively without quantitative support such as velocity dispersion statistics in the bridge region, intensity enhancement factors, or spatial cross-correlation metrics between the integrated intensity maps of the two velocity components. This is load-bearing for the central CCC claim, as the features remain compatible with line-of-sight overlap or internal turbulence in the G35 complex (cf. reader's weakest assumption).
  2. [§5] §5 (Discussion of star formation mechanisms): The claim that CCC 'does not enhance the star formation efficiency' but 'tends to trigger the formation of massive stars' lacks explicit SFE calculations (e.g., total YSO mass or number per unit gas mass, area definitions, or error estimates) and direct numerical comparison to CC/RDI in N68 or the referenced N65/N61 bubbles. This undermines the differential-effect conclusion.
  3. [§4] §4 (Star formation tracers): The attribution of the listed tracers (HII regions, masers, YSOs) to the CCC is asserted via positional coincidence but without quantitative analysis such as surface density contrasts at the cloud interface versus elsewhere or age estimates linking formation timing to the collision.
minor comments (2)
  1. [Abstract, §3] Velocity ranges in the abstract and §3 should be presented with consistent formatting and any associated uncertainties or channel widths from the CO data.
  2. The manuscript would benefit from a table summarizing the positions and properties of the identified star formation tracers for easier cross-reference with the molecular maps.

Circularity Check

0 steps flagged

No significant circularity in observational CCC interpretation

full rationale

The paper's claims rest on direct CO line observations identifying two velocity components (47-56 and 56-64 km/s), broad bridge features, and complementary spatial distributions at borders, interpreted via established CCC morphological/kinematic criteria. No mathematical derivations, fitted parameters, or equations are used that reduce conclusions to self-referential inputs by construction. Attributions of star formation tracers (HII regions, masers, YSOs) to CC/RDI/CCC mechanisms and the comparative statement on SFE vs. massive star triggering are based on catalog counts and qualitative morphology, without redefinition or self-citation chains that force the result. The analysis remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim relies on standard domain assumptions about interpreting molecular line velocity components as distinct colliding clouds; no new free parameters, invented entities, or ad-hoc axioms are introduced beyond measured velocity ranges.

axioms (1)
  • domain assumption Distinct velocity components in CO emission represent physically separate molecular clouds undergoing collision.
    Standard interpretive framework in galactic astronomy for kinematic signatures of CCC.

pith-pipeline@v0.9.0 · 5513 in / 1337 out tokens · 52375 ms · 2026-05-10T08:31:22.958716+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

75 extracted references · 73 canonical work pages

  1. [1]

    D., & Bania, T

    Anderson, L. D., & Bania, T. M. 2009, ApJ, 690, 706, doi: 10.1088/0004-637X/690/1/706

  2. [2]

    , keywords =

    Anderson, L. D., Bania, T. M., Balser, D. S., et al. 2014, ApJS, 212, 1, doi: 10.1088/0067-0049/212/1/1

  3. [3]

    K., Ojha, D

    Baug, T., Dewangan, L. K., Ojha, D. K., et al. 2018, ApJ, 852, 119, doi: 10.3847/1538-4357/aaa429

  4. [4]

    A., Churchwell, E., Babler, B

    Benjamin, R. A., Churchwell, E., Babler, B. L., et al. 2003, PASP, 115, 953, doi: 10.1086/376696

  5. [5]

    G., W¨ unsch, R., Whitworth, A

    Bisbas, T. G., W¨ unsch, R., Whitworth, A. P., Hubber, D. A., & Walch, S. 2011, ApJ, 736, 142, doi: 10.1088/0004-637X/736/2/142

  6. [6]

    M., Dzib, S

    Brunthaler, A., Menten, K. M., Dzib, S. A., et al. 2021, A&A, 651, A85, doi: 10.1051/0004-6361/202039856

  7. [7]

    J., Noriega-Crespo, A., Mizuno, D

    Carey, S. J., Noriega-Crespo, A., Mizuno, D. R., et al. 2009, PASP, 121, 76, doi: 10.1086/596581

  8. [8]

    2024a, MNRAS, 535, 419, doi: 10.1093/mnras/stae2394

    Chen, E., Chen, X., Chen, X., Fang, M., & He, Q. 2024a, MNRAS, 535, 419, doi: 10.1093/mnras/stae2394

  9. [9]

    2025, ApJ, 985, 120, doi: 10.3847/1538-4357/adc9a3

    Chen, E., Chen, X., Fang, M., et al. 2025, ApJ, 985, 120, doi: 10.3847/1538-4357/adc9a3

  10. [10]

    2024b, MNRAS, 527, 4297, doi: 10.1093/mnras/stad3459

    Chen, E., Gao, Y., Zhang, S., et al. 2024b, MNRAS, 527, 4297, doi: 10.1093/mnras/stad3459

  11. [11]

    2002, , 40, 27, 10.1146/annurev.astro.40.060401.093845

    Churchwell, E. 2002, ARA&A, 40, 27, doi: 10.1146/annurev.astro.40.060401.093845

  12. [12]

    , keywords =

    Churchwell, E., Povich, M. S., Allen, D., et al. 2006, ApJ, 649, 759, doi: 10.1086/507015 21

  13. [13]

    Condon, J. J. 1992, ARA&A, 30, 575, doi: 10.1146/annurev.aa.30.090192.003043

  14. [14]

    , keywords =

    Condon, J. J., Cotton, W. D., Greisen, E. W., et al. 1998, AJ, 115, 1693, doi: 10.1086/300337

  15. [15]

    Ram Pressure Stripping of Disc Galaxies: The Role of the Inclination Angle , shorttitle =

    Dale, J. E., Bonnell, I. A., & Whitworth, A. P. 2007a, MNRAS, 375, 1291, doi: 10.1111/j.1365-2966.2006.11368.x

  16. [16]

    2008 , month = jan, journal =

    Dale, J. E., Clark, P. C., & Bonnell, I. A. 2007b, MNRAS, 377, 535, doi: 10.1111/j.1365-2966.2007.11515.x

  17. [17]

    2005, A&A, 433, 565, doi: 10.1051/0004-6361:20041946

    Deharveng, L., Zavagno, A., & Caplan, J. 2005, A&A, 433, 565, doi: 10.1051/0004-6361:20041946

  18. [18]

    The nature of the bubbles observed by Spitzer and what ATLASGAL tells us about the surrounding neutral material

    Deharveng, L., Schuller, F., Anderson, L. D., et al. 2010, A&A, 523, A6, doi: 10.1051/0004-6361/201014422

  19. [19]

    K., Ojha, D

    Dewangan, L. K., Ojha, D. K., Zinchenko, I., & Baug, T. 2018, ApJ, 861, 19, doi: 10.3847/1538-4357/aac6bb

  20. [20]

    E., & Williams, D

    Dyson, J. E., & Williams, D. A. 1980, Physics of the interstellar medium (Manchester Univ. Press, Manchester)

  21. [21]

    , keywords =

    Elmegreen, B. G., & Lada, C. J. 1977, ApJ, 214, 725, doi: 10.1086/155302

  22. [22]

    2021, PASJ, 73, S75, doi: 10.1093/pasj/psz119

    Enokiya, R., Torii, K., & Fukui, Y. 2021, PASJ, 73, S75, doi: 10.1093/pasj/psz119

  23. [23]

    doi:10.1088/0067-0049/181/2/321 , eprint =

    Evans, Neal J., I., Dunham, M. M., Jørgensen, J. K., et al. 2009, ApJS, 181, 321, doi: 10.1088/0067-0049/181/2/321

  24. [24]

    G., Hora, J

    Fazio, G. G., Hora, J. L., Allen, L. E., et al. 2004, ApJS, 154, 10, doi: 10.1086/422843

  25. [25]

    , keywords =

    Fukui, Y., Habe, A., Inoue, T., Enokiya, R., & Tachihara, K. 2021, PASJ, 73, S1, doi: 10.1093/PASJ/psaa103

  26. [26]

    2014, ApJ, 780, 36, doi: 10.1088/0004-637X/780/1/36

    Fukui, Y., Ohama, A., Hanaoka, N., et al. 2014, ApJ, 780, 36, doi: 10.1088/0004-637X/780/1/36

  27. [27]

    2016, ApJ, 820, 26, doi: 10.3847/0004-637X/820/1/26

    Fukui, Y., Torii, K., Ohama, A., et al. 2016, ApJ, 820, 26, doi: 10.3847/0004-637X/820/1/26

  28. [28]

    2018a, ApJ, 859, 166, doi: 10.3847/1538-4357/aac217

    Fukui, Y., Torii, K., Hattori, Y., et al. 2018a, ApJ, 859, 166, doi: 10.3847/1538-4357/aac217

  29. [29]

    2018b, PASJ, 70, S601, doi: 10.1093/PASJ/psy051

    Fukui, Y., Kohno, M., Yokoyama, K., et al. 2018b, PASJ, 70, S601, doi: 10.1093/PASJ/psy051

  30. [30]

    2007, ApJ, 654, 316, doi: 10.1086/509112

    Wang, J. 2007, ApJ, 654, 316, doi: 10.1086/509112

  31. [31]

    2017, ApJLetters, 835, 1, doi: 10.3847/2041-8213/835/1/L14

    Gong, Y., Fang, M., Mao, R., et al. 2017, ApJLetters, 835, 1, doi: 10.3847/2041-8213/835/1/L14

  32. [32]

    M., Stauffer, J

    Guieu, S., Rebull, L. M., Stauffer, J. R., et al. 2010, ApJ, 720, 46, doi: 10.1088/0004-637X/720/1/46

  33. [33]

    a., Megeath, S

    Gutermuth, R. a., Megeath, S. T., Myers, P. C., et al. 2009, ApJS, 184, 18, doi: 10.1088/0067-0049/184/1/18

  34. [34]

    1992, PASJ, 44, 203, doi: 10.1093/pasj/44.3.203

    Habe, A., & Ohta, K. 1992, PASJ, 44, 203, doi: 10.1093/pasj/44.3.203

  35. [35]

    Habing, H. J. 1968, BAN, 19, 421

  36. [36]

    2019, PASJ, 71, 6, doi: 10.1093/pasj/psy126

    Hanaoka, M., Kaneda, H., Suzuki, T., et al. 2019, PASJ, 71, 6, doi: 10.1093/pasj/psy126

  37. [37]

    T., Allen, L., et al

    Hartmann, L., Megeath, S. T., Allen, L., et al. 2005, ApJ, 629, 881, doi: 10.1086/431472

  38. [38]

    J., Shima, K., Tasker, E

    Haworth, T. J., Shima, K., Tasker, E. J., et al. 2015a, MNRAS, 454, 1634, doi: 10.1093/mnras/stv2068

  39. [39]

    , keywords =

    Haworth, T. J., Tasker, E. J., Fukui, Y., et al. 2015b, MNRAS, 450, 10, doi: 10.1093/mnras/stv639

  40. [40]

    2006, AJ, 131, 2525, doi: 10.1086/503253

    Tuttle, S. 2006, AJ, 131, 2525, doi: 10.1086/503253

  41. [41]

    G., Purcell, C

    Hoare, M. G., Purcell, C. R., Churchwell, E. B., et al. 2012, PASP, 124, 939, doi: 10.1086/668058

  42. [42]

    J., Takahashi, T., & Tielens, A

    Hollenbach, D. J., Takahashi, T., & Tielens, A. G. G. M. 1991, ApJ, 377, 192, doi: 10.1086/170347

  43. [43]

    2013, ApJL, 774, L31, doi: 10.1088/2041-8205/774/2/L31

    Inoue, T., & Fukui, Y. 2013, ApJL, 774, L31, doi: 10.1088/2041-8205/774/2/L31

  44. [44]

    D., & Wilson, C

    Klaassen, P. D., & Wilson, C. D. 2007, ApJ, 663, 1092, doi: 10.1086/518760

  45. [45]

    2021, PASJ, 73, S129, doi: 10.1093/pasj/psaa015

    Kohno, M., Tachihara, K., Torii, K., et al. 2021, PASJ, 73, S129, doi: 10.1093/pasj/psaa015

  46. [46]

    2008, A&A, 477, 547, doi: 10.1051/0004-6361:20077815

    Kramer, C., Cubick, M., R¨ ollig, M., et al. 2008, A&A, 477, 547, doi: 10.1051/0004-6361:20077815

  47. [47]

    A., Bayandina, O

    Ladeyschikov, D. A., Bayandina, O. S., & Sobolev, A. M. 2019, AJ, 158, 233, doi: 10.3847/1538-3881/ab4b4c

  48. [48]

    2008 , month = jan, journal =

    Lawrence, A., Warren, S. J., Almaini, O., et al. 2007, MNRAS, 379, 1599, doi: 10.1111/j.1365-2966.2007.12040.x

  49. [49]

    L., Hoare, M

    Lumsden, S. L., Hoare, M. G., Urquhart, J. S., et al. 2013, ApJS, 208, 11, doi: 10.1088/0067-0049/208/1/11

  50. [50]

    , keywords =

    Marsh, K. A., Whitworth, A. P., Lomax, O., et al. 2017, MNRAS, 471, 2730, doi: 10.1093/mnras/stx1723 Masqu´ e, J. M., Rodr´ ıguez, L. F., Trinidad, M. A., et al. 2017, ApJ, 836, 96, doi: 10.3847/1538-4357/836/1/96

  51. [51]

    2010, PASP, 122, 314, doi: 10.1086/651314

    Molinari, S., Swinyard, B., Bally, J., et al. 2010, PASP, 122, 314, doi: 10.1086/651314

  52. [52]

    R., Murugeshan, C., et al

    Nguyen, H., Rugel, M. R., Murugeshan, C., et al. 2022, A&A, 666, A59, doi: 10.1051/0004-6361/202244115

  53. [53]

    M., Johnson, C

    Rebull, L. M., Johnson, C. H., Hoette, V., et al. 2011, AJ, 142, 25, doi: 10.1088/0004-6256/142/1/25

  54. [54]

    J., Dame, T

    Reid, M. J., Dame, T. M., Menten, K. M., & Brunthaler, A. 2016, ApJ, 823, 77, doi: 10.3847/0004-637X/823/2/77

  55. [55]

    J., Menten, K

    Reid, M. J., Menten, K. M., Brunthaler, A., et al. 2014, ApJ, 783, 130, doi: 10.1088/0004-637X/783/2/130 —. 2019, ApJ, 885, 131, doi: 10.3847/1538-4357/ab4a11

  56. [56]

    2013, A&A, 554, A6, doi: 10.1051/0004-6361/201321081

    Roccatagliata, V., Preibisch, T., Ratzka, T., & Gaczkowski, B. 2013, A&A, 554, A6, doi: 10.1051/0004-6361/201321081

  57. [57]

    T., Whitaker, R

    Sandford, II, M. T., Whitaker, R. W., & Klein, R. I. 1982, ApJ, 260, 183, doi: 10.1086/160245

  58. [58]

    M., Contreras, Y., et al

    Schuller, F., Menten, K. M., Contreras, Y., et al. 2009, A&A, 504, 415, doi: 10.1051/0004-6361/200811568 22

  59. [59]

    2012, IEEE Transactions on Terahertz Science and Technology, 2, 593, doi: 10.1109/TTHZ.2012.2213818

    Shan, W., Yang, J., Shi, S., et al. 2012, IEEE Transactions on Terahertz Science and Technology, 2, 593, doi: 10.1109/TTHZ.2012.2213818

  60. [60]

    2024, ApJ, 974, 239, doi: 10.3847/1538-4357/ad6a5f

    Shen, X., Liu, H.-L., Ren, Z., et al. 2024, ApJ, 974, 239, doi: 10.3847/1538-4357/ad6a5f

  61. [61]

    M., 2002, @doi [ ] 10.1046/j.1365-8711.2002.05848.x , http://adsabs.harvard.edu/abs/2002MNRAS.336.1188K 336, 1188

    Smith, L. J., Norris, R. P. F., & Crowther, P. A. 2002, MNRAS, 337, 1309, doi: 10.1046/j.1365-8711.2002.06042.x

  62. [62]

    1978, Physical processes in the interstellar medium (Wiley, New York), doi: 10.1002/9783527617722 Str¨ omgren, B

    Spitzer, L. 1978, Physical processes in the interstellar medium (Wiley, New York), doi: 10.1002/9783527617722 Str¨ omgren, B. 1939, ApJ, 89, 526, doi: 10.1086/144074

  63. [63]

    2019, ApJS, 240, 9, doi: 10.3847/1538-4365/aaf1c8

    Su, Y., Yang, J., Zhang, S., et al. 2019, ApJS, 240, 9, doi: 10.3847/1538-4365/aaf1c8

  64. [64]

    1991, ApJS, 77, 59, doi: 10.1086/191597

    Sugitani, K., Fukui, Y., & Ogura, K. 1991, ApJS, 77, 59, doi: 10.1086/191597

  65. [65]

    Takahira, K., Shima, K., Habe, A., & Tasker, E. J. 2018, PASJ, 70, S58, doi: 10.1093/pasj/psy011

  66. [66]

    2011, ApJ, 738, 46, doi: 10.1088/0004-637X/738/1/46

    Torii, K., Enokiya, R., Sano, H., et al. 2011, ApJ, 738, 46, doi: 10.1088/0004-637X/738/1/46

  67. [67]

    , keywords =

    Torii, K., Hasegawa, K., Hattori, Y., et al. 2015, ApJ, 806, 7, doi: 10.1088/0004-637X/806/1/7

  68. [68]

    2017, ApJ, 835, 142, doi: 10.3847/1538-4357/835/2/142

    Torii, K., Hattori, Y., Hasegawa, K., et al. 2017, ApJ, 835, 142, doi: 10.3847/1538-4357/835/2/142

  69. [69]

    2017, PASJ, 69, 78, doi: 10.1093/pasj/psx061 van Dishoeck, E

    Umemoto, T., Minamidani, T., Kuno, N., et al. 2017, PASJ, 69, 78, doi: 10.1093/pasj/psx061

  70. [70]

    S., Hoare, M

    Urquhart, J. S., Hoare, M. G., Lumsden, S. L., Oudmaijer, R. D., & Moore, T. J. T. 2008, in Astronomical Society of the Pacific Conference Series, Vol. 387, Massive Star Formation: Observations Confront Theory, ed. H. Beuther, H. Linz, & T. Henning, 381, doi: 10.48550/arXiv.0711.4715

  71. [71]

    S., Moore, T

    Urquhart, J. S., Moore, T. J. T., Schuller, F., et al. 2013, MNRAS, 431, 1752, doi: 10.1093/mnras/stt287

  72. [72]

    P., Bhattal, A

    Whitworth, A. P., Bhattal, A. S., Chapman, S. J., Disney, M. J., & Turner, J. A. 1994, MNRAS, 268, 291, doi: 10.1093/mnras/268.1.291

  73. [73]

    2016, ApJ, 819, 117, doi: 10.3847/0004-637X/819/2/117

    Xu, J.-L., Li, D., Zhang, C.-P., et al. 2016, ApJ, 819, 117, doi: 10.3847/0004-637X/819/2/117

  74. [74]

    , keywords =

    Zhang, B., Moscadelli, L., Sato, M., et al. 2014, ApJ, 781, 89, doi: 10.1088/0004-637X/781/2/89

  75. [75]

    2013, Research in Astronomy and Astrophysics, 13, 47, doi: 10.1088/1674-4527/13/1/006

    Zhang, C.-P., & Wang, J.-J. 2013, Research in Astronomy and Astrophysics, 13, 47, doi: 10.1088/1674-4527/13/1/006