Abstract:Star formation activity depends on galactic-scale environments. To understand the variations in star formation activity, comparing the properties of giant molecular clouds (GMCs) among environments with different star formation efficiency (SFE) is necessary. We thus focus on a strongly barred galaxy to investigate the impact of the galactic environment on the GMCs properties, because the SFE is clearly lower in bar regions than in arm regions. In this paper, we present the 12 CO(1 − 0) observations toward the … Show more
“…The Atacama Large Millimeter/submillimeter Array (ALMA) makes this possible by reducing the time required to survey the CO emission at cloud-scale resolution across the disc of single nearby galaxy to ∼1 h each (e.g. Whitmore et al 2014;Leroy et al 2015;Pan & Kuno 2017;Faesi, Lada & Forbrich 2018;Hirota et al 2018;Kruijssen et al 2019b;Maeda et al 2020). ALMA also makes it possible to extend these studies beyond star-forming, disc galaxies to early-type galaxies (Utomo et al 2015;Davis et al 2017, Williams et al, in preparation;Chevance et al, in preparation) and ultraluminous infrared galaxies (Imanishi, Nakanishi & Izumi 2019, Saito et al, in preparation).…”
We present improved methods for segmenting CO emission from galaxies into individual molecular clouds, providing an update to the cprops algorithms presented by Rosolowsky & Leroy. The new code enables both homogenization of the noise and spatial resolution among data, which allows for rigorous comparative analysis. The code also models the completeness of the data via false source injection and includes an updated segmentation approach to better deal with blended emission. These improved algorithms are implemented in a publicly available Python package, pycprops. We apply these methods to 10 of the nearest galaxies in the PHANGS-ALMA survey, cataloguing CO emission at a common 90 pc resolution and a matched noise level. We measure the properties of 4986 individual clouds identified in these targets. We investigate the scaling relations among cloud properties and the cloud mass distributions in each galaxy. The physical properties of clouds vary among galaxies, both as a function of galactocentric radius and as a function of dynamical environment. Overall, the clouds in our target galaxies are well-described by approximate energy equipartition, although clouds in stellar bars and galaxy centres show elevated line widths and virial parameters. The mass distribution of clouds in spiral arms has a typical mass scale that is 2.5× larger than interarm clouds and spiral arms clouds show slightly lower median virial parameters compared to interarm clouds (1.2 versus 1.4).
“…The Atacama Large Millimeter/submillimeter Array (ALMA) makes this possible by reducing the time required to survey the CO emission at cloud-scale resolution across the disc of single nearby galaxy to ∼1 h each (e.g. Whitmore et al 2014;Leroy et al 2015;Pan & Kuno 2017;Faesi, Lada & Forbrich 2018;Hirota et al 2018;Kruijssen et al 2019b;Maeda et al 2020). ALMA also makes it possible to extend these studies beyond star-forming, disc galaxies to early-type galaxies (Utomo et al 2015;Davis et al 2017, Williams et al, in preparation;Chevance et al, in preparation) and ultraluminous infrared galaxies (Imanishi, Nakanishi & Izumi 2019, Saito et al, in preparation).…”
We present improved methods for segmenting CO emission from galaxies into individual molecular clouds, providing an update to the cprops algorithms presented by Rosolowsky & Leroy. The new code enables both homogenization of the noise and spatial resolution among data, which allows for rigorous comparative analysis. The code also models the completeness of the data via false source injection and includes an updated segmentation approach to better deal with blended emission. These improved algorithms are implemented in a publicly available Python package, pycprops. We apply these methods to 10 of the nearest galaxies in the PHANGS-ALMA survey, cataloguing CO emission at a common 90 pc resolution and a matched noise level. We measure the properties of 4986 individual clouds identified in these targets. We investigate the scaling relations among cloud properties and the cloud mass distributions in each galaxy. The physical properties of clouds vary among galaxies, both as a function of galactocentric radius and as a function of dynamical environment. Overall, the clouds in our target galaxies are well-described by approximate energy equipartition, although clouds in stellar bars and galaxy centres show elevated line widths and virial parameters. The mass distribution of clouds in spiral arms has a typical mass scale that is 2.5× larger than interarm clouds and spiral arms clouds show slightly lower median virial parameters compared to interarm clouds (1.2 versus 1.4).
“…NGC 604 and 30 Dor, one of the region Wong et al (2017) studied, are both sites of massive star formation surrounding giant H II regions and would both be places with high isocontour levels, so both of these locations could plausibly be affected by this truncation bias. It is worth noting that other extragalactic studies have found no strong correlation between size and linewidth (Colombo et al 2014;Maeda et al 2020).…”
Section: Size-line Width Relationmentioning
confidence: 75%
“…This leads to a direct correlation between M vir and the mass measured through other independent method (in our case the 13 CO luminosity). Recent extragalactic studies of NGC 300 by Faesi et al (2018) and NGC 1300 by Maeda et al (2020) have found a strong correlation between M vir and M lum and a low scatter in α vir near unity. We show in Fig.…”
Section: Molecular Mass-virial Mass Relationsmentioning
We present Atacama Large Millimeter/submillimeter Array (ALMA) observations of 13CO(J = 1–0) line and 104 GHz continuum emission from NGC 604, a giant H ii region (GHR) in the nearby spiral galaxy M33. Our high spatial resolution images (3.2 arcsec × 2.4 arcsec, corresponding to 13 × 10 pc physical scale) allow us to detect 15 molecular clouds. We find spatial offsets between the 13CO and 104 GHz continuum emission and also detect continuum emission near the centre of the GHR. The identified molecular clouds have sizes ranging from 5–21 pc, linewidths of 0.3–3.0 km s−1 and luminosity-derived masses of (0.4–80.5) × 103 M⊙. These molecular clouds are in near virial equilibrium, with a spearman correlation coefficient of 0.98. The linewidth–size relationship for these clouds is offset from the corresponding relations for the Milky Way and for NGC 300, although this may be an artefact of the dendrogram process.
“…It has been reported that the properties of GMCs in the local group galaxies and nearby dwarf galaxies are similar to those of the Milky Way; e.g., M31 (Rosolowsky 2007), M33 (Rosolowsky et al 2003), IC10 (Ohta et al 1992;Leroy et al 2006). Further, extragalactic GMCs are detected on ∼ 50 pc scale by CO(1-0) observations with Plateau de Bure Interferometer and Atacama Large Millimeter/submillimeter Array (ALMA), and environmental dependence of those properties are investigated; e.g., M51 (Colombo et al 2014), M83 (Hirota et al 2018), NGC 1300 (Maeda et al 2020a).…”
Section: Introductionmentioning
confidence: 99%
“…This is the first study of R 21 on ∼ 100 pc scale in a nearby barred galaxy. In NGC 1300, unlike the arm regions, star formation activity in the bar region is suppressed despite the presence of GMCs (Maeda et al 2020a). Since such significant differences in star formation activity are seen, NGC 1300 is thought to be an ideal laboratory to unveil the impact of the galactic environment on the R 21 .…”
CO(2-1) emission is often used as a tracer of the giant molecular clouds (GMCs) as an alternative to CO(1-0) emission in recent years. Therefore, understanding the environmental dependence of the line ratio of CO(2-1)/CO(1-0), R 21 , on GMC scale is important to accurately estimate the mass of the GMCs. We thus measured the R 21 in the strongly barred galaxy NGC 1300, where star formation activity strongly depends on galactic structure, on ∼ 100 pc scale. CO images were obtained from ALMA and Nobeyama 45-m telescope. The resultant typical R 21 in NGC 1300 is 0.57 ± 0.06. We find environmental variations in R 21 ; it is the highest in the bar-end region (0.72 ± 0.08), followed by arm (0.60 ± 0.07) and bar regions (0.50 ± 0.06). GMCs with Hα emission show a systematically higher ratio (0.67±0.07) than those without Hα (0.47±0.05). In the bar region, where massive star formation is suppressed, Hα emission is not associated with most GMCs, resulting in the lowest R 21 . These results raise a possibility that properties of GMCs derived from CO(2-1) observations with the assumption of a constant R 21 are different from those derived from CO(1-0) observations. Furthermore, we find the R 21 measured on kpc scale tends to be lower than that of the GMCs probably due to the presence of an extended diffuse molecular gas in NGC 1300.
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